Faculty of Mathematics and Natural Sciences - Earth Observation Lab


Peer-reviewed journal articles and book sections only


2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | Before 2010

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2024 go back up to list of years

Alpuche Álvarez, Y.A., Jepsen, M.R., Müller, D., Rasmussen, L.V., & Sun, Z. (2024). Unraveling the complexity of land use change and path dependency in agri-environmental schemes for small farmers: A serious game approach. Land Use Policy, 139. DOI:10.1016/j.landusepol.2024.107067

Kimsanova, B., Umirbekov, A., Herzfeld, T., & Müller, D. (2024). Heterogeneous effects of weather extremes on different dimensions of poverty in Kyrgyzstan. Environmental Research Letters, 19. DOI:10.1088/1748-9326/ad1720

Okujeni, A., Kowalski, K., Lewińska, K.E., Schneidereit, S., & Hostert, P. (2024). Multidecadal grassland fractional cover time series retrieval for Germany from the Landsat and Sentinel-2 archives. Remote Sensing of Environment, 302, 113980. DOI:10.1016/j.rse.2023.113980

Radeloff, V.C., Roy, D.P., Wulder, M.A., Anderson, M., Cook, B., Crawford, C.J., Friedl, M., Gao, F., Gorelick, N., Hansen, M., Healey, S., Hostert, P., Hulley, G., Huntington, J.L., Johnson, D.M., Neigh, C., Lyapustin, A., Lymburner, L., Pahlevan, N., Pekel, J.-F., Scambos, T.A., Schaaf, C., Strobl, P., Woodcock, C.E., Zhang, H.K., & Zhu, Z. (2024). Need and vision for global medium-resolution Landsat and Sentinel-2 data products. Remote Sensing of Environment, 300. DOI:10.1016/j.rse.2023.113918

Umirbekov, A., Essery, R., & Müller, D. (2024). GEMS v1.0: Generalizable Empirical Model of Snow Accumulation and Melt, based on daily snow mass changes in response to climate and topographic drivers. Geoscientific Model Development, 17, 911-929. DOI:10.5194/gmd-17-911-2024

Yin, F., Sun, Z., You, L., & Müller, D. (2024). Determinants of changes in harvested area and yields of major crops in China. Food Security. DOI:10.1007/s12571-023-01424-x

2023 go back up to list of years

Frantz, D., Rufin, P., Janz, A., Ernst, S., Pflugmacher, D., Schug, F., & Hostert, P. (2023). Understanding the robustness of spectral-temporal metrics across the global Landsat archive from 1984 to 2019 – a quantitative evaluation. Remote Sensing of Environment, 298. DOI:10.1016/j.rse.2023.113823

Frantz, D., Schug, F., Wiedenhofer, D., Baumgart, A., Virág, D., Cooper, S., Gómez-Medina, C., Lehmann, F., Udelhoven, T., van der Linden, S., Hostert, P., & Haberl, H. (2023). Unveiling patterns in human dominated landscapes through mapping the mass of US built structures. Nature Communications, 14, 8014. DOI:10.1038/s41467-023-43755-5

Friis, C., Hernández-Morcillo, M., Baumann, M., Coral, C., Frommen, T., Ghoddousi, A., Loibl, D., & Rufin, P. (2023). Enabling spaces for bridging scales: scanning solutions for interdisciplinary human-environment research. Sustainability Science. DOI:10.1007/s11625-022-01271-3

Hermans, K., Müller, D., O’Byrne, D., Olsson, L., & Stringer, L.C. (2023). Land degradation and migration. Nature Sustainability. DOI:10.1038/s41893-023-01231-4

Holtgrave, A.-K., Lobert, F., Erasmi, S., Röder, N., & Kleinschmit, B. (2023). Grassland mowing event detection using combined optical, SAR, and weather time series. Remote Sensing of Environment, 295.DOI:10.1016/j.rse.2023.113680

Ibrahim, E.S., Nendel, C., Kamali, B., Gajere, E.N., & Hostert, P. (2023). Predicting potato diseases in smallholder agricultural areas of Nigeria using machine learning and remote sensing-based climate data. PhytoFrontiers™. DOI:10.1094/PHYTOFR-10-22-0105-R

Jakimow, B., Baumann, M., Salomão, C., Bendini, H., & Hostert, P. (2023). Deforestation and agricultural fires in South-West Pará, Brazil, under political changes from 2014 to 2020. Journal of Land Use Science, 18, 176-195. DOI:10.1080/1747423X.2023.2195420

Jakimow, B., Janz, A., Thiel, F., Okujeni, A., Hostert, P., & van der Linden, S. (2023). EnMAP-Box: Imaging spectroscopy in QGIS. SoftwareX, 23. DOI:10.1016/j.softx.2023.101507

Kowalski, K., Okujeni, A., & Hostert, P. (2023). A generalized framework for drought monitoring across Central European grassland gradients with Sentinel-2 time series. Remote Sensing of Environment, 286. DOI:10.1016/j.rse.2022.113449

Lewinska, K.E., Ives, A.R., Morrow, C.J., Rogova, N., Yin, H., Elsen, P.R., de Beurs, K., Hostert, P., & Radeloff, V.C. (2023). Beyond "greening" and "browning": Trends in grassland ground cover fractions across Eurasia that account for spatial and temporal autocorrelation. Glob Chang Biol. DOI:10.1111/gcb.16800

Lobert, F., Löw, J., Schwieder, M., Gocht, A., Schlund, M., Hostert, P., & Erasmi, S. (2023). A deep learning approach for deriving winter wheat phenology from optical and SAR time series at field level. Remote Sensing of Environment, 298.DOI:10.1016/j.rse.2023.113800

Pfoch, K.A., Pflugmacher, D., Okujeni, A., & Hostert, P. (2023). Mapping forest fire severity using bi-temporal unmixing of Sentinel-2 data - Towards a quantitative understanding of fire impacts. Science of Remote Sensing, 8. DOI:10.1016/j.srs.2023.100097

Reis, T.N.P.d., Ribeiro, V., Garrett, R.D., Kuemmerle, T., Rufin, P., Guidotti, V., Amaral, P.C., & Meyfroidt, P. (2023). Explaining the stickiness of supply chain relations in the Brazilian soybean trade. Global Environmental Change, 78. DOI:10.1016/j.gloenvcha.2022.102633

Schug, F., Bar-Massada, A., Carlson, A.R., Cox, H., Hawbaker, T.J., Helmers, D., Hostert, P., Kaim, D., Kasraee, N.K., Martinuzzi, S., Mockrin, M.H., Pfoch, K.A., & Radeloff, V.C. (2023). The global wildland-urban interface. Nature, 621, 94-99. DOI:10.1038/s41586-023-06320-0

Tetteh, G.O., Schwieder, M., Erasmi, S., Conrad, C., & Gocht, A. (2023). Comparison of an Optimised Multiresolution Segmentation Approach with Deep Neural Networks for Delineating Agricultural Fields from Sentinel-2 Images. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 91, 295-312. DOI:10.1007/s41064-023-00247-x

Weber, D., Schwieder, M., Ritter, L., Koch, T., Psomas, A., Huber, N., Ginzler, C., & Boch, S. (2023). Grassland‐use intensity maps for Switzerland based on satellite time series: Challenges and opportunities for ecological applications. Remote Sensing in Ecology and Conservation. DOI:10.1002/rse2.372

Wei, Y., Müller, D., Sun, Z., Lu, M., Tang, H., & Wu, W. (2023). Exploring the emergence and changing dynamics of a new integrated rice-crawfish farming system in China. Environmental Research Letters, 18. DOI:10.1088/1748-9326%2Facd8d2

Wesemeyer, M., Kamp, J., Schmitz, T., Müller, D., & Lakes, T. (2023). Multi-objective spatial optimization to balance trade-offs between farmland bird diversity and potential agricultural net returns. Agriculture, Ecosystems & Environment, 345. DOI:10.1016/j.agee.2022.108316

2022 go back up to list of years

Abeygunawardane, D., Kronenburg García, A., Sun, Z., Müller, D., Sitoe, A., & Meyfroidt, P. (2022). Resource frontiers and agglomeration economies: The varied logics of transnational land-based investing in Southern and Eastern Africa. Ambio. DOI:10.1007/s13280-021-01682-z

Baumann, M., Gasparri, N.I., Buchadas, A., Oeser, J., Meyfroidt, P., Levers, C., Romero-Muñoz, A., le Polain de Waroux, Y., Müller, D., & Kuemmerle, T. (2022). Frontier metrics for a process-based understanding of deforestation dynamics. Environmental Research Letters, 17, 095010. DOI:10.1088/1748-9326/ac8b9a

Blickensdörfer, L., Schwieder, M., Pflugmacher, D., Nendel, C., Erasmi, S., & Hostert, P. (2022). Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany. Remote Sensing of Environment, 269, 112831. DOI:10.1016/j.rse.2021.112831

Blum, D., Aguiar, S., Sun, Z., Müller, D., Alvarez, A., Aguirre, I., Domingo, S., & Mastrangelo, M. (2022). Subnational institutions and power of landholders drive illegal deforestation in a major commodity production frontier. Global Environmental Change, 74, 102511. DOI:10.1016/j.gloenvcha.2022.102511

Frantz, D., Hostert, P., Rufin, P., Ernst, S., Röder, A., & van der Linden, S. (2022). Revisiting the Past: Replicability of a Historic Long-Term Vegetation Dynamics Assessment in the Era of Big Data Analytics. Remote Sensing, 14(3), 597. DOI:10.3390/rs14030597

Jänicke, C., Goddard, A., Stein, S., Steinmann, H.-H., Lakes, T., Nendel, C., & Müller, D. (2022). Field-level land-use data reveal heterogeneous crop sequences with distinct regional differences in Germany. European Journal of Agronomy, 141, 126632. DOI:10.1016/j.eja.2022.126632

Kowalski, K., Okujeni, A., Brell, M., & Hostert, P. (2022). Quantifying drought effects in Central European grasslands through regression-based unmixing of intra-annual Sentinel-2 time series. Remote Sensing of Environment, 268, 112781. DOI:10.1016/j.rse.2021.112781

Leibniz Research Network, B. (2022). 10 Must Knows from Biodiversity Science 2022. DOI:10.5281/zenodo.6257527

Leimer, K., Levers, C., Sun, Z., & Müller, D. (2022). Market proximity and irrigation infrastructure determine farmland rentals in Sichuan Province, China. Journal of Rural Studies, 94, 375-384. DOI:10.1016/j.jrurstud.2022.07.009

Ma, T.F., Wang, F., Zhu, J., Ives, A.R., & Lewińska, K.E. (2022). Scalable Semiparametric Spatio-temporal Regression for Large Data Analysis. Journal of Agricultural, Biological and Environmental Statistics (JABES). DOI:10.1007/s13253-022-00525-y

Mehrabi, Z., Delzeit, R., Ignaciuk, A., Levers, C., Braich, G., Bajaj, K., Amo-Aidoo, A., Anderson, W., Balgah, R.A., Benton, T.G., Chari, M.M., Ellis, E.C., Gahi, N.Z., Gaupp, F., Garibaldi, L.A., Gerber, J.S., Godde, C.M., Grass, I., Heimann, T., Hirons, M., Hoogenboom, G., Jain, M., James, D., Makowski, D., Masamha, B., Meng, S., Monprapussorn, S., Müller, D., Nelson, A., Newlands, N.K., Noack, F., Oronje, M., Raymond, C., Reichstein, M., Rieseberg, L.H., Rodriguez-Llanes, J.M., Rosenstock, T., Rowhani, P., Sarhadi, A., Seppelt, R., Sidhu, B.S., Snapp, S., Soma, T., Sparks, A.H., Teh, L., Tigchelaar, M., Vogel, M.M., West, P.C., Wittman, H., & You, L. (2022). Research priorities for global food security under extreme events. One Earth, 5, 756-766. DOI:10.1016/j.oneear.2022.06.008

Meyfroidt, P., de Bremond, A., Ryan, C.M., Archer, E., Aspinall, R., Chhabra, A., Camara, G., Corbera, E., DeFries, R., Díaz, S., Dong, J., Ellis, E.C., Erb, K.-H., Fisher, J.A., Garrett, R.D., Golubiewski, N.E., Grau, H.R., Grove, J.M., Haberl, H., Heinimann, A., Hostert, P., Jobbágy, E.G., Kerr, S., Kuemmerle, T., Lambin, E.F., Lavorel, S., Lele, S., Mertz, O., Messerli, P., Metternicht, G., Munroe, D.K., Nagendra, H., Nielsen, J.Ø., Ojima, D.S., Parker, D.C., Pascual, U., Porter, J.R., Ramankutty, N., Reenberg, A., Roy Chowdhury, R., Seto, K.C., Seufert, V., Shibata, H., Thomson, A., Turner, B.L., Urabe, J., Veldkamp, T., Verburg, P.H., Zeleke, G., & zu Ermgassen, E.K.H.J. (2022). Ten facts about land systems for sustainability. Proceedings of the National Academy of Sciences, 119, e2109217118. DOI: 10.1073/pnas.2109217118

Nill, L., Grünberg, I., Ullmann, T., Gessner, M., Boike, J., & Hostert, P. (2022). Arctic shrub expansion revealed by Landsat-derived multitemporal vegetation cover fractions in the Western Canadian Arctic. Remote Sensing of Environment, 281, 113228. DOI:10.1016/j.rse.2022.113228

Peña-Guerrero, M.D., Umirbekov, A., Tarasova, L., & Müller, D. (2022). Comparing the performance of high-resolution global precipitation products across topographic and climatic gradients of Central Asia. International Journal of Climatology, n/a. DOI:10.1002/joc.7548

Pratzer, M., Nill, L., Kuemmerle, T., Zurell, D., & Fandos, G. (2022). Large carnivore range expansion in Iberia in relation to different scenarios of permeability of human‐dominated landscapes. Diversity and Distributions, 29, 75-88. DOI:10.1111/ddi.13645

Rufin, P., Bey, A., Picoli, M., & Meyfroidt, P. (2022). Large-area mapping of active cropland and short-term fallows in smallholder landscapes using PlanetScope data. International Journal of Applied Earth Observation and Geoinformation, 112, 102937. DOI:10.1016/j.jag.2022.102937

Rufin, P., Peña-Guerrero, M.D., Umirbekov, A., Wei, Y., & Müller, D. (2022). Post-Soviet changes in cropping practices in the irrigated drylands of the Aral Sea basin. Environmental Research Letters, 17, 095013. DOI:10.1088/1748-9326/ac8daa

Schug, F., Frantz, D., Okujeni, A., & Hostert, P. (2022). Sub-pixel building area mapping based on synthetic training data and regression-based unmixing using Sentinel-1 and -2 data. Remote Sensing Letters, 13, 822-832. DOI:10.1080/2150704X.2022.2088253

Schug, F., Frantz, D., Wiedenhofer, D., Haberl, H., Virág, D., van der Linden, S., & Hostert, P. (2022). High‐resolution mapping of 33 years of material stock and population growth in Germany using Earth Observation data. Journal of Industrial Ecology. DOI:10.1111/jiec.13343

Umirbekov, A., Peña-Guerrero, M.D., & Müller, D. (2022). Regionalization of climate teleconnections across Central Asian mountains improves the predictability of seasonal precipitation. Environmental Research Letters, 17, 055002. DOI:10.1088/1748-9326/ac6229

Viana-Soto, A., Okujeni, A., Pflugmacher, D., García, M., Aguado, I., & Hostert, P. (2022). Quantifying post-fire shifts in woody-vegetation cover composition in Mediterranean pine forests using Landsat time series and regression-based unmixing. Remote Sensing of Environment, 281. DOI:10.1016/j.rse.2022.113239

2021 go back up to list of years

Balmann, A., Graubner, M., Müller, D., Hüttel, S., Seifert, S., Odening, M., Plogmann, J., & Ritter, M. (2021). Market Power in Agricultural Land Markets: Concepts and Empirical Challenges. German Journal of Agricultural Economics,70. DOI:10.30430/gjae.2021.0117

Canters, F., Cooper, S., Degerickx, J., Heiden, U., Jilge, M., Okujeni, A., Priem, F., Somers, B., & van der Linden, S. (2021). Use of Image Endmember Libraries for Multi-Sensor, Multi-Scale, and Multi-Site Mapping of Urban Areas. Urban Remote Sensing, 189-215. DOI:10.1002/9781119625865.ch10

Cooper, S., Okujeni, A., Pflugmacher, D., van der Linden, S., & Hostert, P. (2021). Combining simulated hyperspectral EnMAP and Landsat time series for forest aboveground biomass mapping. International Journal of Applied Earth Observation and Geoinformation, 98. DOI:10.1016/j.jag.2021.102307

Dai, X.-w., Sun, Z., & Müller, D. (2021). Driving factors of direct greenhouse gas emissions from China’s pig industry from 1976 to 2016. Journal of Integrative Agriculture, 20, 319-329. DOI:10.1016/S2095-3119(20)63425-6

De Marzo, T., Pflugmacher, D., Baumann, M., Lambin, E.F., Gasparri, I., & Kuemmerle, T. (2021). Characterizing forest disturbances across the Argentine Dry Chaco based on Landsat time series. International Journal of Applied Earth Observation and Geoinformation, 98.DOI:10.1016/j.jag.2021.102310

Frantz, D., Schug, F., Okujeni, A., Navacchi, C., Wagner, W., van der Linden, S., & Hostert, P. (2021). National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series. Remote Sensing of Environment, 252, 112128. DOI:10.1016/j.rse.2020.112128

Haberl, H., Wiedenhofer, D., Schug, F., Frantz, D., Virág, D., Plutzar, C., Gruhler, K., Lederer, J., Schiller, G., Fishman, T., Lanau, M., Gattringer, A., Kemper, T., Liu, G., Tanikawa, H., van der Linden, S., & Hostert, P. (2021). High-Resolution Maps of Material Stocks in Buildings and Infrastructures in Austria and Germany. Environmental Science & Technology. DOI:10.1021/acs.est.0c05642

Hemmerling, J., Pflugmacher, D., & Hostert, P. (2021). Mapping temperate forest tree species using dense Sentinel-2 time series. Remote Sensing of Environment, 267, 112743. DOI:10.1016/j.rse.2021.112743

Ibrahim, E.S., Rufin, P., Nill, L., Kamali, B., Nendel, C., & Hostert, P. (2021). Mapping Crop Types and Cropping Systems in Nigeria with Sentinel-2 Imagery. Remote Sensing, 13. DOI:10.3390/rs13173523

Kreyling, J., Tanneberger, F., Jansen, F., van der Linden, S., Aggenbach, C., Blüml, V., Couwenberg, J., Emsens, W.J., Joosten, H., Klimkowska, A., Kotowski, W., Kozub, L., Lennartz, B., Liczner, Y., Liu, H., Michaelis, D., Oehmke, C., Parakenings, K., Pleyl, E., Poyda, A., Raabe, S., Röhl, M., Rücker, K., Schneider, A., Schrautzer, J., Schröder, C., Schug, F., Seeber, E., Thiel, F., Thiele, S., Tiemeyer, B., Timmermann, T., Urich, T., van Diggelen, R., Vegelin, K., Verbruggen, E., Wilmking, M., Wrage-Mönnig, N., Wołejko, L., Zak, D., & Jurasinski, G. (2021). Rewetting does not return drained fen peatlands to their old selves. Nature Communications, 12, 5693. DOI:10.1038/s41467-021-25619-y

Law, E.A., Macchi, L., Baumann, M., Decarre, J., Gavier-Pizarro, G., Levers, C., Mastrangelo, M.E., Murray, F., Müller, D., Piquer-Rodríguez, M., Torres, R., Wilson, K.A., & Kuemmerle, T. (2021). Fading opportunities for mitigating agriculture-environment trade-offs in a south American deforestation hotspot. Biological Conservation, 262, 109310. DOI:10.1016/j.biocon.2021.109310

Lehmann, F., Frantz, D., Becker, S., Leser, U. and Hostert, P. (2021). FORCE on Nextflow: Scalable Analysis of Earth Observation data on Commodity Clusters. 1st Int. Workshop on Complex Data Challenges in Earth Observation. PDF

Leser, U., Hilbrich, M., Draxl, C., Eisert, P., Grunske, L., Hostert, P., Kainmüller, D., Kao, O., Kehr, B., Kehrer, T. , Koch, C. , Markl, V., Meyerhenke, H., Rabl, T., Reinefeld, A., Reinert, K., Ritter, K., Scheuermann, B., Schintke, F., Schweikardt, N. and Weidlich, M. (2021). The Collaborative Research Center FONDA. Datenbank Spektrum. DOI:10.1007/s13222-021-00397-5

Lewińska, K.E., Buchner, J., Bleyhl, B., Hostert, P., Yin, H., Kuemmerle, T., & Radeloff, V.C. (2021). Changes in the grasslands of the Caucasus based on Cumulative Endmember Fractions from the full 1987–2019 Landsat record. Science of Remote Sensing, 4, 100035. DOI:10.1016/j.srs.2021.100035

Lobert, F., Holtgrave, A.-K., Schwieder, M., Pause, M., Vogt, J., Gocht, A., & Erasmi, S. (2021). Mowing event detection in permanent grasslands: Systematic evaluation of input features from Sentinel-1, Sentinel-2, and Landsat 8 time series. Remote Sensing of Environment, 267. DOI:10.1016/j.rse.2021.112751

Okujeni, A., Jänicke, C., Cooper, S., Frantz, D., Hostert, P., Clark, M., Segl, K., & van der Linden, S. (2021). Multi-season unmixing of vegetation class fractions across diverse Californian ecoregions using simulated spaceborne imaging spectroscopy data. Remote Sensing of Environment, 112558. DOI:10.1021/10.1016/j.rse.2021.112558

Piquer-Rodríguez, M., Gasparri, N.I., Zarbá, L., Aráoz, E., & Grau, H.R. (2021). Land systems’ asymmetries across transnational ecoregions in South America. Sustainability Science. DOI:10.1007/s11625-021-00967-2

Rolinski, S., Prishchepov, A.V., Guggenberger, G., Bischoff, N., Kurganova, I., Schierhorn, F., Müller, D., & Müller, C. (2021). Dynamics of soil organic carbon in the steppes of Russia and Kazakhstan under past and future climate and land use. Regional Environmental Change, 21, 73. DOI:10.1007/s10113-021-01799-7

Rufin, P., Müller, D., Schwieder, M., Pflugmacher, D., & Hostert, P. (2021). Landsat time series reveal simultaneous expansion and intensification of irrigated dry season cropping in Southeastern Turkey. Journal of Land Use Science, 3, 1-17. DOI:10.1080/1747423X.2020.1858198

Schierhorn, F., Hofmann, M., Gagalyuk, T., Ostapchuk, I., & Müller, D. (2021). Machine learning reveals complex effects of climatic means and weather extremes on wheat yields during different plant developmental stages. Climatic Change, 169, 39. DOI:10.1007/s10584-021-03272-0

Schmiedgen, A., Komainda, M., Kowalski, K., Hostert, P., Tonn, B., Kayser, M., & Isselstein, J. (2021). Impacts of cutting frequency and position to tree line on herbage accumulation in silvopastoral grassland reveal potential for grassland conservation based on land use and cover information. Annals of Applied Biology, aab.12681. DOI: 10.1111/aab.12681

Schug, F., Frantz, D., van der Linden, S., & Hostert, P. (2021). Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates. PLOS ONE, 16. DOI: 10.1371/journal.pone.0249044

Schwieder, M., Wesemeyer, M., Frantz, D., Pfoch, K., Erasmi, S., Pickert, J., Nendel, C., & Hostert, P. (2021). Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series. Remote Sensing of Environment, 112795. DOI: 10.1016/j.rse.2021.112795

Shapiro, A.C., Bernhard, K.P., Zenobi, S., Müller, D., Aguilar-Amuchastegui, N., & d'Annunzio, R. (2021). Proximate Causes of Forest Degradation in the Democratic Republic of the Congo Vary in Space and Time. Frontiers in Conservation Science, 2. DOI:10.3389/fcosc.2021.690562

Sheludkov, A., Kamp, J., & Müller, D. (2021). Decreasing labor intensity in agriculture and the accessibility of major cities shape the rural population decline in postsocialist Russia. Eurasian Geography and Economics, 62, 481-506. DOI:10.1080/15387216.2020.1822751

Tetteh, G.O., Gocht, A., Erasmi, S., Schwieder, M., & Conrad, C. (2021). Evaluation of Sentinel-1 and Sentinel-2 Feature Sets for Delineating Agricultural Fields in Heterogeneous Landscapes. IEEE Access, 9, 116702-116719. DOI:10.1109/ACCESS.2021.3105903

Tulbure, M.G., Hostert, P., Kuemmerle, T., & Broich, M. (2021). Regional matters: On the usefulness of regional land-cover datasets in times of global change. Remote Sensing in Ecology and Conservation. DOI:10.1002/rse2.248

Zekoll, V., Main-Knorn, M., Louis, J., Frantz, D., Richter, R., & Pflug, B. (2021). Comparison of Masking Algorithms for Sentinel-2 Imagery. Remote Sensing, 13. DOI:10.3390/rs13010137

2020 go back up to list of years

Baumann, M., Kamp, J., Pötzschner, F., Bleyhl, B., Dara, A., Hankerson, B., Prishchepov, A.V., Schierhorn, F., Müller, D., Hölzel, N., Krämer, R., Urazaliyev, R., & Kuemmerle, T. (2020). Declining human pressure and opportunities for rewilding in the steppes of Eurasia. Diversity and Distributions, 26, 1058-1070. DOI:10.1111/ddi.13110

Bendini, H.N., Fonseca, L.M.G., Schwieder, M., Rufin, P., Korting, T.S., Koumrouyan, A., & Hostert, P. (2020). COMBINING ENVIRONMENTAL AND LANDSAT ANALYSIS READY DATA FOR VEGETATION MAPPING: A CASE STUDY IN THE BRAZILIAN SAVANNA BIOME. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020. DOI:10.5194/isprs-archives-XLIII-B3-2020-953-2020

Cooper, S., Okujeni, A., Jänicke, C., Clark, M., van der Linden, S., & Hostert, P. (2020). Disentangling fractional vegetation cover: Regression-based unmixing of simulated spaceborne imaging spectroscopy data. Remote Sensing of Environment, 246, 111856. DOI:10.1016/j.rse.2020.111856

Dara, A., Baumann, M., Freitag, M., Hölzel, N., Hostert, P., Kamp, J., Müller, D., Prishchepov, A.V., & Kuemmerle, T. (2020). Annual Landsat time series reveal post-Soviet changes in grazing pressure. Remote Sensing of Environment, 239, 111667. DOI:10.1016/j.rse.2020.111667

Grabska, E., Frantz, D., & Ostapowicz, K. (2020). Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians. Remote Sensing of Environment, 251, 112103. DOI:10.1016/j.rse.2020.112103

Griffiths, P., Nendel, C., Pickert, J., & Hostert, P. (2020). Towards national-scale characterization of grassland use intensity from integrated Sentinel-2 and Landsat time series. Remote Sensing of Environment, 111124. DOI:10.1016/j.rse.2019.03.017

Jakimow, B., van der Linden, S., Thiel, F., Frantz, D., & Hostert, P. (2020). Visualizing and labeling dense multi-sensor earth observation time series: The EO Time Series Viewer. Environmental Modelling & Software, 125, 104631. DOI:10.1016/j.envsoft.2020.104631

Jänicke, C., Okujeni, A., Cooper, S., Clark, M., Hostert, P., & van der Linden, S. (2020). Brightness gradient-corrected hyperspectral image mosaics for fractional vegetation cover mapping in northern California. Remote Sensing Letters, 11(1), 1-10. DOI:10.1080/2150704X.2019.1670518

Kowalski, K., Senf, C., Hostert, P., & Pflugmacher, D. (2020). Characterizing spring phenology of temperate broadleaf forests using Landsat and Sentinel-2 time series. International Journal of Applied Earth Observation and Geoinformation, 92, 102172. DOI:10.1016/j.jag.2020.102172

Lakes, T., Garcia-Marquez, J., Müller, D., Lakner, S., & Pe’er, G. (2020). How green is greening? A fine-scale analysis of spatio-temporal dynamics in Germany. In: Humboldt-Universität zu Berlin. DOI: 10.18452/21031

Lewińska, K.E., Hostert, P., Buchner, J., Bleyhl, B., & Radeloff, V.C. (2020). Short-term vegetation loss versus decadal degradation of grasslands in the Caucasus based on Cumulative Endmember Fractions. Remote Sensing of Environment, 248, 111969. DOI:10.1016/j.rse.2020.111969

López-Felices, B., Aznar-Sánchez, J.A., Velasco-Muñoz, J.F., & Piquer-Rodríguez, M. (2020). Contribution of Irrigation Ponds to the Sustainability of Agriculture. A Review of Worldwide Research. Sustainability, 12(13), 5425. DOI:10.3390/su12135425

Macchi, L., Decarre, J., Goijman, A.P., Mastrangelo, M., Blendinger, P.G., Gavier‐Pizarro, G.I., Murray, F., Piquer‐Rodríguez, M., Semper‐Pascual, A., & Kuemmerle, T. (2020). Trade‐offs between biodiversity and agriculture are moving targets in dynamic landscapes. Journal of Applied Ecology, 00, 1-10. DOI:10.1111/1365-2664.13699

Miao, L., Sun, Z., Ren, Y., Schierhorn, F., & Müller, D. (2020). Grassland greening on the Mongolian Plateau despite higher grazing intensity. Land Degradation & Development. DOI:10.1002/ldr.3767

Müller, D. (2020). Effects of the Sino-American Trade War and African Swine Fever for Greenhouse Gas Emissions in Pork Production. Climate Change and Agriculture - Perspectives from China and Germany (pp. 114-135). Beijing, China: Sino-German Agricultural Centre (DCZ). PDF download

Munroe, D.K., & Müller, D. (2020). Land-system science to support achieving the sustainable development goals. Journal of Land Use Science, 15, 477-481. DOI:10.1080/1747423X.2020.1783085

Munteanu, C., Kamp, J., Nita, M.D., Klein, N., Kraemer, B.M., Müller, D., Koshkina, A., Prishchepov, A.V., & Kuemmerle, T. (2020). Cold War spy satellite images reveal long-term declines of a philopatric keystone species in response to cropland expansion. Proceedings of the Royal Society B: Biological Sciences, 287, 20192897. DOI:10.1098/rspb.2019.2897

Munroe, D.K., & Müller, D. (2020). Land-system science to support achieving the sustainable development goals. Journal of Land Use Science, 15, 477-481. DOI:10.1080/1747423X.2020.1783085

Nanni, A.S., Piquer-Rodríguez, M., Rodríguez, D., Regueiro, M.N., Periago, M.E., Aguiar, S., Ballari, S., Blundo, C., Derlindati, E., & Di Blanco, Y. (2020). Presiones sobre la conservación asociadas al uso de la tierra en las ecorregiones terrestres de la Argentina. Ecología Austral, 30, 304–320. DOI:10.25260/EA.

Núñez-Regueiro, M., Branch, L.C., Derlindati, E.J., Gasparri, I., Marinaro, S., Nanni, S., Núñez Godoy, C., Piquer-Rodríguez, M., Soto, J.R., & Tálamo, A. (2020). Open Standards for conservation as a tool for linking research and conservation agendas in complex socio-ecological systems. Current Opinion in Environmental Sustainability, 44, 6–15. DOI:10.1016/j.cosust.2020.03.001

Oeser, J., Heurich, M., Senf, C., Pflugmacher, D., & Kuemmerle, T. (2020). Satellite-based habitat monitoring reveals long-term dynamics of deer habitat in response to forest disturbances. Ecol Appl, e2269.10.1002/eap.2269. DOI: 10.1002/eap.2269

Pazúr, R., Lieskovský, J., Bürgi, M., Müller, D., Lieskovský, T., Zhang, Z., & Prischchepov, A.V. (2020). Abandonment and Recultivation of Agricultural Lands in Slovakia—Patterns and Determinants from the Past to the Future. Land, 9, 316. DOI:10.3390/land9090316

Picoli, M. C. A., Rorato, A., Leitão, P., Camara, G., Maciel, A., Hostert, P., & Sanches, I. D. A. (2020). Impacts of Public and Private Sector Policies on Soybean and Pasture Expansion in Mato Grosso—Brazil from 2001 to 2017. Land, 9(1), 20. DOI:10.3390/land9010020

Prishchepov, A.V., Schierhorn, F., Dronin, N., Ponkina, E.V., & Müller, D. (2020). 800 Years of Agricultural Land-use Change in Asian (Eastern) Russia. In M. Frühauf, G. Guggenberger, T. Meinel, I. Theesfeld, & S. Lentz (Eds.), KULUNDA: Climate Smart Agriculture: South Siberian Agro-steppe as Pioneering Region for Sustainable Land Use (pp. 67-87). Cham: Springer International Publishing. DOI:10.1007/978-3-030-15927-6_6

Rufin, P., Frantz, D., Yan, L., & Hostert, P. (2020). Operational Coregistration of the Sentinel-2A/B Image Archive Using Multitemporal Landsat Spectral Averages. IEEE Geoscience and Remote Sensing Letters, 1-5. DOI:10.1109/LGRS.2020.2982245

Scheffler, D., Frantz, D., & Segl, K. (2020). Spectral harmonization and red edge prediction of Landsat-8 to Sentinel-2 using land cover optimized multivariate regressors. Remote Sensing of Environment, 241, 111723. DOI:10.1016/j.rse.2020.111723

Schierhorn, F., Hofmann, M., Adrian, I., Bobojonov, I., & Müller, D. (2020). Spatially varying impacts of climate change on wheat and barley yields in Kazakhstan. Journal of Arid Environments, 178, 104164. DOI:10.1016/j.jaridenv.2020.104164

Schug, F., Frantz, D., Okujeni, A., van der Linden, S., & Hostert, P. (2020). Mapping urban-rural gradients of settlements and vegetation at national scale using Sentinel-2 spectral-temporal metrics and regression-based unmixing with synthetic training data. Remote Sensing of Environment, 246, 111810. DOI:10.1016/j.rse.2020.111810

Schwieder, M., Buddeberg, M., Kowalski, K., Pfoch, K., Bartsch, J., Bach, H., Pickert, J., & Hostert, P. (2020). Estimating Grassland Parameters from Sentinel-2: A Model Comparison Study. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science DOI:10.1007/s41064-020-00120-1

Seghezzo, L., Huaranca, L.L., Vega, M.L., Jeckeln, G.V., Avalos, M.A., Iribarnegaray, M.A., Volante, J.N., Serrano, F.H.M., Mastrangelo, M., Sun, Z., & Müller, D. (2020). Sustainable farmers, deficient State? Self-reported agricultural sustainability in the Argentine Chaco region. International Journal of Agricultural Sustainability. DOI:10.1080/14735903.2020.1793645

Senf, C., Laštovička, J., Okujeni, A., Heurich, M., & van der Linden, S. (2020). A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data. Remote Sensing of Environment, 240, 111691. DOI:10.1016/j.rse.2020.111691

Sheludkov, A., Kamp, J., & Müller, D. (2020). Decreasing labor intensity in agriculture and the accessibility of major cities shape the rural population decline in postsocialist Russia. Eurasian Geography and Economics, 1-26. DOI:10.1080/15387216.2020.1822751

Tetteh, G.O., Gocht, A., Schwieder, M., Erasmi, S., & Conrad, C. (2020). Unsupervised Parameterization for Optimal Segmentation of Agricultural Parcels From Satellite Images in Different Agricultural Landscapes. Remote Sensing, 12, 3096. DOI:10.3390/rs12183096

Turner, B.L., Meyfroidt, P., Kuemmerle, T., Müller, D., & Roy Chowdhury, R. (2020). Framing the search for a theory of land use. Journal of Land Use Science, 15, 489-508. DOI:10.1080/1747423X.2020.1811792

Wellmann, T., Schug, F., Haase, D., Pflugmacher, D., & van der Linden, S. (2020). Green growth? On the relation between population density, land use and vegetation cover fractions in a city using a 30-years Landsat time series. Landscape and Urban Planning, 202, 103857. DOI:10.1016/j.landurbplan.2020.103857

Wellmann, T., Lausch, A., Andersson, E., Knapp, S., Cortinovis, C., Jache, J., Scheuer, S., Kremer, P., Mascarenhas, A., Kraemer, R., Haase, A., Schug, F., & Haase, D. (2020). Remote sensing in urban planning: Contributions towards ecologically sound policies? Landscape and Urban Planning, 204, 103921. DOI:10.1016/j.landurbplan.2020.103921

Wuepper, D., Borrelli, P., Mueller, D., & Finger, R. (2020). Quantifying the soil erosion legacy of the Soviet Union. Agricultural Systems, 185, 102940. DOI:10.1016/j.agsy.2020.102940

2019 go back up to list of years

Dara, A., Baumann, M., Hölzel, N., Hostert, P., Kamp, J., Müller, D., Ullrich, B., & Kuemmerle, T. (2019). Post-Soviet Land-Use Change Affected Fire Regimes on the Eurasian Steppes. Ecosystems

do Nascimento Bendini, H., Garcia Fonseca, L.M., Schwieder, M., Sehn Körting, T., Rufin, P., Del Arco Sanches, I., Leitão, P.J., & Hostert, P. (2019). Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series. International Journal of Applied Earth Observation and Geoinformation, 82, 101872

Dong, J., Metternicht, G., Hostert, P., Fensholt, R., & Chowdhury, R.R. (2019). Remote sensing and geospatial technologies in support of a normative land system science: status and prospects. Current Opinion in Environmental Sustainability, 38, 44-52

Frantz, D. (2019). FORCE—Landsat + Sentinel-2 Analysis Ready Data and Beyond. Remote Sensing, 11, 1124

Frantz, D., Stellmes, M., & Hostert, P. (2019). A Global MODIS Water Vapor Database for the Operational Atmospheric Correction of Historic and Recent Landsat Imagery. Remote Sensing, 11, 257

Grabska, E., Hostert, P., Pflugmacher, D., & Ostapowicz, K. (2019). Forest Stand Species Mapping Using the Sentinel-2 Time Series. Remote Sensing, 11, 1197

Griffiths, P., Nendel, C., & Hostert, P. (2019). Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping. Remote Sensing of Environment, 220, 135-151

Hankerson, B.R., Schierhorn, F., Prishchepov, A.V., Dong, C., Eisfelder, C., & Müller, D. (2019). Modeling the spatial distribution of grazing intensity in Kazakhstan. PLOS ONE, 14, e0210051

Heuck, C., Herrmann, C., Levers, C., Leitão, P.J., Krone, O., Brandl, R., & Albrecht, J. (2019). Wind turbines in high quality habitat cause disproportionate increases in collision mortality of the white-tailed eagle. Biological Conservation, 236, 44-51

Lebek, K., Senf, C., Frantz, D., Monteiro, J.A.F., & Krueger, T. (2019). Interdependent effects of climate variability and forest cover change on streamflow dynamics: a case study in the Upper Umvoti River Basin, South Africa. Regional Environmental Change

Leitão, P.J., Andrew, C.J., Engelhardt, E.K., Graham, C.H., Martinez-Almoyna, C., Mimet, A., Pinkert, S., Schröder, B., Voskamp, A., Hof, C., & Fritz, S.A. (2019). Macroecology as a hub between research disciplines: opportunities, challenges and possible ways forward. Journal of Biogeography

Leitão, P.J., & Santos, M.J. (2019). Improving models of species ecological niches: a remote sensing overview. Frontiers in Ecology and Evolution, 7, 9

Mastrangelo, M.E., Sun, Z., Seghezzo, L., & Müller, D. (2019). Survey-based modeling of land-use intensity in agricultural frontiers of the Argentine dry Chaco. Land Use Policy, 88, 104183

Matasov, V., Prishchepov, A.V., Jepsen, M.R., & Müller, D. (2019). Spatial determinants and underlying drivers of land-use transitions in European Russia from 1770 to 2010. Journal of Land Use Science, 14, 362-377. DOI:10.1080/1747423X.2019.1709224

Nink, S., Hill, J., Stoffels, J., Buddenbaum, H., Frantz, D., & Langshausen, J. (2019). Using Landsat and Sentinel-2 Data for the Generation of Continuously Updated Forest Type Information Layers in a Cross-Border Region. Remote Sensing, 11

Oeser, J., Heurich, M., Senf, C., Pflugmacher, D., Belotti, E., & Kuemmerle, T. (2019). Habitat metrics based on multi‐temporal Landsat imagery for mapping large mammal habitat. Remote Sensing in Ecology and Conservation. DOI:10.1002/rse2.122

Pflugmacher, D., Rabe, A., Peters, M., & Hostert, P. (2019). Mapping pan-European land cover using Landsat spectral-temporal metrics and the European LUCAS survey. Remote Sensing of Environment, 221, 583-595

Priem, F., Okujeni, A., van der Linden, S., & Canters, F. (2019). Comparing map-based and library-based training approaches for urban land-cover fraction mapping from Sentinel-2 imagery. International Journal of Applied Earth Observation and Geoinformation, 78, 295-305

Prishchepov, A.V., Ponkina, E., Sun, Z., & Müller, D. (2019). Revealing the determinants of wheat yields in the Siberian breadbasket of Russia with Bayesian networks. Land Use Policy, 80, 21-31

Rufin, P., Frantz, D., Ernst, S., Rabe, A., Griffiths, P., Özdoğan , an, M., & Hostert, P. (2019). A Landsat-based national-scale map of cropping practices for Turkey (2015). In, Supplement to: Rufin, P et al. (in press): Mapping cropping practices on a national scale using intra-annual Landsat time series binning. Remote Sensing: PANGAEA

Rufin, P., Frantz, D., Ernst, S., Rabe, A., Griffiths, P., Özdoğan, M., & Hostert, P. (2019). Mapping Cropping Practices on a National Scale Using Intra-Annual Landsat Time Series Binning. Remote Sensing, 11, 232

Rufin, P., Gollnow, F., Müller, D., & Hostert, P. (2019). Synthesizing dam-induced land system change. Ambio

Schierhorn, F., Kastner, T., Kuemmerle, T., Meyfroidt, P., Kurganova, I., Prishchepov, A.V., Erb, K.-H., Houghton, R.A., & Müller, D. (2019). Large greenhouse gas savings due to changes in the post-Soviet food systems. Environmental Research Letters, 14, 065009

Sebald, J., Senf, C., Heiser, M., Scheidl, C., Pflugmacher, D., & Seidl, R. (2019). The effects of forest cover and disturbance on torrential hazards: Large-scale evidence from the Eastern Alps. Environmental Research Letters. DOI:10.1088/1748-9326/ab4937

van der Linden, S., Okujeni, A., Canters, F., Degerickx, J., Heiden, U., Hostert, P., Priem, F., Somers, B., & Thiel, F. (2019). Imaging Spectroscopy of Urban Environments. Surveys in Geophysics, 40(3), 471-488

Wulder, M.A., Loveland, T.R., Roy, D.P., Crawford, C.J., Masek, J.G., Woodcock, C.E., Allen, R.G., Anderson, M.C., Belward, A.S., Cohen, W.B., Dwyer, J., Erb, A., Gao, F., Griffiths, P., Helder, D., Hermosilla, T., Hipple, J.D., Hostert, P., Hughes, M.J., Huntington, J., Johnson, D.M., Kennedy, R., Kilic, A., Li, Z., Lymburner, L., McCorkel, J., Pahlevan, N., Scambos, T.A., Schaaf, C., Schott, J.R., Sheng, Y., Storey, J., Vermote, E., Vogelmann, J., White, J.C., Wynne, R.H., & Zhu, Z. (2019). Current status of Landsat program, science, and applications. Remote Sensing of Environment, 225, 127-147

Zhu, Z., Wulder, M.A., Roy, D.P., Woodcock, C.E., Hansen, M.C., Radeloff, V.C., Healey, S.P., Schaaf, C., Hostert, P., Strobl, P., Pekel, J.-F., Lymburner, L., Pahlevan, N., & Scambos, T.A. (2019). Benefits of the free and open Landsat data policy. Remote Sensing of Environment, 224, 382-385

2018 go back up to list of years

Dara, A., Baumann, M., Kuemmerle, T., Pflugmacher, D., Rabe, A., Griffiths, P., Hölzel, N., Kamp, J., Freitag, M., & Hostert, P. (2018). Mapping the timing of cropland abandonment and recultivation in northern Kazakhstan using annual Landsat time series. Remote Sensing of Environment, 213, 49-60

de Blécourt, M., Röder, A., Gröngröft, A., Baumann, S., Frantz, D., & Eschenbach, A. (2018). Deforestation for agricultural expansion in SW Zambia and NE Namibia and the impacts on soil fertility, soil organic carbon- and nutrient levels. In R. Revermann, K.M. Krewenka, U. Schmiedel, J.M. Olwoch, J. Helmschrot, & N. Jürgens (Eds.), Biodiversity & Ecology 6 - Climate change and adaptive landmanagement in southern Africa - assessments, changes, challenges, and solutions (pp. 242-250). Hamburg, Germany: University of Hamburg

Doxani, G., Vermote, E., Roger, J.-C., Gascon, F., Adriaensen, S., Frantz, D., Hagolle, O., Hollstein, A., Kirches, G., Li, F., Louis, J., Mangin, A., Pahlevan, N., Pflug, B., & Vanhellemont, Q. (2018). Atmospheric Correction Inter-Comparison Exercise. Remote Sensing, 10, 352

Ernst, S., Lymburner, L., & Sixsmith, J. (2018). Implications of Pixel Quality Flags on the Observation Density of a Continental Landsat Archive. Remote Sensing, 10

Frantz, D., Haß, E., Uhl, A., Stoffels, J., & Hill, J. (2018). Improvement of the Fmask algorithm for Sentinel-2 images: Separating clouds from bright surfaces based on parallax effects. Remote Sensing of Environment, 215, 471-481

Frings, M., Lakes, T., Müller, D., Khan, M.M.H., Epprecht, M., Kipruto, S., Galea, S., & Gruebner, O. (2018). Modeling and mapping the burden of disease in Kenya. Scientific Reports, 8, 9826

Griffiths, P., Jakimow, B., & Hostert, P. (2018). Reconstructing long term annual deforestation dynamics in Pará and Mato Grosso using the Landsat archive. Remote Sensing of Environment, 216, 497-513

Griffiths, P., Nendel, C., & Hostert, P. (2018). National-scale crop- and land-cover map of Germany (2016) based on imagery acquired by Sentinel-2A MSI and Landsat-8 OLI. In, Supplement to: Griffiths, P et al. (2019): Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping. Remote Sensing of Environment, 220, 135-151

Grogan, K., Pflugmacher, D., Hostert, P., Mertz, O., & Fensholt, R. (2018). Unravelling the link between global rubber price and tropical deforestation in Cambodia. Nature Plants

Higginbottom, T.P., Symeonakis, E., Meyer, H., & van der Linden, S. (2018). Mapping fractional woody cover in semi-arid savannahs using multi-seasonal composites from Landsat data. ISPRS Journal of Photogrammetry and Remote Sensing, 139, 88-102

Jakimow, B., Griffiths, P., van der Linden, S., & Hostert, P. (2018). Mapping pasture management in the Brazilian Amazon from dense Landsat time series. Remote Sensing of Environment, 205, 453-468

Koivula, M.J., Chamberlain, D.E., Fuller, R.J., Palmer, S.C.F., Bankovics, A., Bracken, F., Bolger, T., de Juana, E., Montadert, M., Neves, R., Rufino, R., Sallent, A., Silva, L.L.d., Leitão, P.J., Steffen, M., & Watt, A.D. (2018). Breeding bird species diversity across gradients of land use from forest to agriculture in Europe. Ecography, 41, 1331-1344

Lausch, A., Bastian, O., Klotz, S., Leitão, P.J., Jung, A., Rocchini, D., Schaepman, M.E., Skidmore, A.K., Tischendorf, L., & Knapp, S. (2018). Understanding and assessing vegetation health by in situ species and remote-sensing approaches. Methods in Ecology and Evolution, 9, 1799-1809

Leitão, P.J., Schwieder, M., Pedroni, F., Sanchez, M., Pinto, J.R.R., Maracahipes, L., Bustamante, M., & Hostert, P. (2018). Mapping woody plant community turnover with space-borne hyperspectral data – a case study in the Cerrado. Remote Sensing in Ecology and Conservation, 0

Leitão, P.J., Schwieder, M., Pötzschner, F., Pinto, J.R.R., Teixeira, A.M.C., Pedroni, F., Sanchez, M., Rogass, C., Linden, S., Bustamante, M.M.C., & Hostert, P. (2018). From sample to pixel: multi-scale remote sensing data for upscaling aboveground carbon data in heterogeneous landscapes. Ecosphere, 9

Levers, C., Müller, D., Erb, K., Haberl, H., Jepsen, M., Metzger, M., Meyfroidt, P., Plieninger, T., Plutzar, C., Stürck, J., Verburg, P., Verkerk, P., & Kuemmerle, T. (2018). Archetypical patterns and trajectories of land systems in Europe. Regional Environmental Change, 18, 715-732

Mertz, O., Grogan, K., Pflugmacher, D., Lestrelin, G., Castella, J.-C., Vongvisouk, T., Hett, C., Fensholt, R., Sun, Z., Berry, N., & Müller, D. (2018). Uncertainty in establishing forest reference levels and predicting future forest-based carbon stocks for REDD+. Journal of Land Use Science, 13, 1-15

Meyfroidt, P., Roy Chowdhury, R., de Bremond, A., Ellis, E.C., Erb, K.H., Filatova, T., Garrett, R.D., Grove, J.M., Heinimann, A., Kuemmerle, T., Kull, C.A., Lambin, E.F., Landon, Y., le Polain de Waroux, Y., Messerli, P., Müller, D., Nielsen, J.Ø., Peterson, G.D., Rodriguez García, V., Schlüter, M., Turner, B.L., & Verburg, P.H. (2018). Middle-range theories of land system change. Global Environmental Change, 53, 52-67

Okujeni, A., Canters, F., Cooper, S.D., Degerickx, J., Heiden, U., Hostert, P., Priem, F., Roberts, D.A., Somers, B., & van der Linden, S. (2018). Generalizing machine learning regression models using multi-site spectral libraries for mapping vegetation-impervious-soil fractions across multiple cities. Remote Sensing of Environment, 216, 482-496

Parduhn, D., & Frantz, D. (2018). Seeing deforestation in Zambia - On the discrepancy between biophysical land-use changes and social perception. In R. Revermann, K.M. Krewenka, U. Schmiedel, J.M. Olwoch, J. Helmschrot, & N. Jürgens (Eds.), Biodiversity & Ecology 6 - Climate change and adaptive landmanagement in southern Africa - assessments, changes, challenges, and solutions (pp. 317-323). Hamburg, Germany: University of Hamburg

Pettorelli, N., Schulte to Bühne, H., Tulloch, A., Dubois, G., Macinnis‐Ng, C., Queirós, A.M., Keith, D.A., Wegmann, M., Schrodt, F., Stellmes, M., Sonnenschein, R., Geller, G.N., Roy, S., Somers, B., Murray, N., Bland, L., Geijzendorffer, I., Kerr, J.T., Broszeit, S., Leitão, P.J., Duncan, C., El Serafy, G., He, K.S., Blanchard, J.L., Lucas, R., Mairota, P., Webb, T.J., & Nicholson, E. (2018). Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward. Remote Sensing in Ecology and Conservation, 4, 71-93

Piquer-Rodríguez, M., Baumann, M., Butsic, V., Gasparri, H.I., Gavier-Pizarro, G., Volante, J.N., Müller, D., & Kuemmerle, T. (2018). The potential impact of economic policies on future land-use conversions in Argentina. Land Use Policy, 79, 57-67

Rocchini, D., Luque, S., Pettorelli, N., Bastin, L., Doktor, D., Faedi, N., Feilhauer, H., Féret, J.-B., Foody, G.M., Gavish, Y., Godinho, S., Kunin, W.E., Lausch, A., Leitão, P.J., Marcantonio, M., Neteler, M., Ricotta, C., Schmidtlein, S., Vihervaara, P., Wegmann, M., & Nagendra, H. (2018). Measuring beta-diversity by remote sensing: a challenge for biodiversity monitoring. Methods in Ecology and Evolution, 9, 1787-1798

Röder, A., Stellmes, M., Frantz, D., & Hill, J. (2018). Remote sensing-based environmental assessment and monitoring – generation of operational baseline and enhanced experimental products in southern Africa. In R. Revermann, K.M. Krewenka, U. Schmiedel, J.M. Olwoch, J. Helmschrot, & N. Jürgens (Eds.), Biodiversity & Ecology 6 - Climate change and adaptive landmanagement in southern Africa - assessments, changes, challenges, and solutions (pp. 344-354). Hamburg, Germany: University of Hamburg

Rufin, P., Levers, C., Baumann, M., Jägermeyr, J., Krueger, T., Kuemmerle, T., & Hostert, P. (2018). Global-scale patterns and determinants of cropping frequency in irrigation dam command areas. Global Environmental Change, 50, 110-122

Santos, F., Meneses, P., & Hostert, P. (2018). Monitoring long-term forest dynamics with scarce data: a multi-date classification implementation in the Ecuadorian Amazon. European Journal of Remote Sensing, 1-17

Schäfer, P., Pflugmacher, D., Hostert, P., & Leser, U. (2018). Classifying land cover from satellite images using time series analytics. In N. Augsten (Ed.),EDBT/ICDT 2018 (pp. 10-15). Vienna, Austria

Schneibel, A., Röder, A., Stellmes, M., & Frantz, D. (2018). Long-term land use change analysis in south-central Angola. Assessing the trade-off between major ecosystem services with remote sensing data. In R. Revermann, K.M. Krewenka, U. Schmiedel, J.M. Olwoch, J. Helmschrot, & N. Jürgens (Eds.), Biodiversity & Ecology 6 - Climate change and adaptive landmanagement in southern Africa - assessments, changes, challenges, and solutions (pp. 360-367). Hamburg, Germany: University of Hamburg

Schug, F., Okujeni, A., Hauer, J., Hostert, P., Nielsen, J.Ø., & van der Linden, S. (2018). Mapping patterns of urban development in Ouagadougou, Burkina Faso, using machine learning regression modeling with bi-seasonal Landsat time series. Remote Sensing of Environment, 210, 217-228

Schwieder, M., Leitão, P.J., Pinto, J.R.R., Teixeira, A.M.C., Pedroni, F., Sanchez, M., Bustamante, M.M., & Hostert, P. (2018). Landsat phenological metrics and their relation to aboveground carbon in the Brazilian Savanna. Carbon Balance and Management, 13, 7

Senf, C., Pflugmacher, D., Zhiqiang, Y., Sebald, J., Knorn, J., Neumann, M., Hostert, P., & Seidl, R. (2018). Canopy mortality has doubled in Europe’s temperate forests over the last three decades. Nature Communications, 9, 4978

Sheludkov, A., Kamp, J., & Müller, D. (2020). Decreasing labor intensity in agriculture and the accessibility of major cities shape the rural population decline in postsocialist Russia. Eurasian Geography and Economics, 1-26.10.1080/15387216.2020.1822751

Small, C., Okujeni, A., van der Linden, S., & Waske, B. (2018). 6.07 - Remote Sensing of Urban Environments A2 - Liang, Shunlin. Comprehensive Remote Sensing (pp. 96-127). Oxford: Elsevier

Suess, S., van der Linden, S., Okujeni, A., Griffiths, P., Leitão, P.J., Schwieder, M., & Hostert, P. (2018). Characterizing 32 years of shrub cover dynamics in southern Portugal using annual Landsat composites and machine learning regression modeling. Remote Sensing of Environment, 219, 353-364

Sun, Z., You, L., & Müller, D. (2018). Synthesis of agricultural land system change in China over the past 40 years. Journal of Land Use Science, 13, 473-479

Symeonakis, E., Higginbottom, T. P., Petroulaki, K., & Rabe, A. (2018). Optimisation of Savannah Land Cover Characterisation with Optical and SAR Data. Remote Sensing, 10(4), 499

van der Linden, S., Okujeni, A., Canters, F., Degerickx, J., Heiden, U., Hostert, P., Priem, F., Somers, B., & Thiel, F. (2018). Imaging Spectroscopy of Urban Environments. Surveys in Geophysics, 1–18

Yin, F., Sun, Z., You, L., & Müller, D. (2018). Increasing concentration of major crops in China from 1980 to 2011. Journal of Land Use Science, 13, 480-493

Yin, H., Pflugmacher, D., Li, A., Li, Z., & Hostert, P. (2018). Land use and land cover change in Inner Mongolia - understanding the effects of China's re-vegetation programs. Remote Sensing of Environment, 204, 918-930

2017 go back up to list of years

Baumann, M., Gasparri, I., Piquer-Rodríguez, M., Gavier Pizarro, G., Griffiths, P., Hostert, P., & Kuemmerle, T. (2017). Carbon emissions from agricultural expansion and intensification in the Chaco. Global Change Biology, 23, 1902-1916

Butsic, V., Munteanu, C., Griffiths, P., Knorn, J., Radeloff, V.C., Lieskovský, J., Müller, D., & Kuemmerle, T. (2017). The effect of protected areas on forest disturbance in the Carpathian Mountains from 1985 to 2010. Conservation Biology, 31, 570-580

Degerickx, J., Okujeni, A., Iordache, M.-D., Hermy, M., van der Linden, S., & Somers, B. (2017). A Novel Spectral Library Pruning Technique for Spectral Unmixing of Urban Land Cover. Remote Sensing, 9, 565

Feilhauer, H., Somers, B., & van der Linden, S. (2017). Optical trait indicators for remote sensing of plant species composition: Predictive power and seasonal variability. Ecological Indicators, 73, 825-833

Frantz, D., Röder, A., Stellmes, M., & Hill, J. (2017). Phenology-adaptive pixel-based compositing using optical earth observation imagery. Remote Sensing of Environment, 190, 331-347

Hagensieker, R., Roscher, R., Rosentreter, J., Jakimow, B., & Waske, B. (2017). Tropical land use land cover mapping in Pará (Brazil) using discriminative Markov random fields and multi-temporal TerraSAR-X data. International Journal of Applied Earth Observation and Geoinformation, 63, 244-256

Haß, E., Frantz, D., Mader, S., & Hill, J. (2017). Global Analysis of the Differences Between the MODIS Vegetation Index Compositing Date and the Actual Acquisition Date. IEEE Geoscience and Remote Sensing Letters, 14, 866-870

Leitão, P., Schwieder, M., & Senf, C. (2017). sgdm: An R Package for Performing Sparse Generalized Dissimilarity Modelling with Tools for gdm. ISPRS International Journal of Geo-Information, 6, 23

Li, X., Zhou, Y., Asrar, G.R., & Meng, L. (2017). Characterizing spatiotemporal dynamics in phenology of urban ecosystems based on Landsat data. Sci Total Environ, 605-606, 721-734

Miao, L., Müller, D., Cui, X., & Ma, M. (2017). Changes in vegetation phenology on the Mongolian Plateau and their climatic determinants. PLOS ONE, 12, e0190313

Mikoláš, M., Tejkal, M., Kuemmerle, T., Griffiths, P., Svoboda, M., Hlásny, T., Leitão, P.J., & Morrissey, R.C. (2017). Forest management impacts on capercaillie (Tetrao urogallus) habitat distribution and connectivity in the Carpathians. Landscape Ecology, 32, 163-179

Munteanu, C., Kuemmerle, T., Boltiziar, M., Lieskovský, J., Mojses, M., Kaim, D., Konkoly-Gyuró, É., Mackovčin, P., Műller, D., Ostapowicz, K., & Radeloff, V.C. (2017). Nineteenth-century land-use legacies affect contemporary land abandonment in the Carpathians. Regional Environmental Change, 17, 1-14

Oeser, J., Pflugmacher, D., Senf, C., Heurich, M., & Hostert, P. (2017). Using Intra-Annual Landsat Time Series for Attributing Forest Disturbance Agents in Central Europe. Forests, 8, 251

Okujeni, A., van der Linden, S., Suess, S., & Hostert, P. (2017). Ensemble Learning From Synthetically Mixed Training Data for Quantifying Urban Land Cover With Support Vector Regression. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 1640-1650

Rosentreter, J., Hagensieker, R., Okujeni, A., Roscher, R., Wagner, P.D., & Waske, B. (2017). Subpixel Mapping of Urban Areas Using EnMAP Data and Multioutput Support Vector Regression. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, PP, 1-11

Scheffler, D., Hollstein, A., Diedrich, H., Segl, K., & Hostert, P. (2017). AROSICS: An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data. Remote Sensing, 9, 676

Schneibel, A., Frantz, D., Röder, A., Stellmes, M., Fischer, K., & Hill, J. (2017). Using Annual Landsat Time Series for the Detection of Dry Forest Degradation Processes in South-Central Angola. Remote Sensing, 9, 905

Schneibel, A., Stellmes, M., Röder, A., Frantz, D., Kowalski, B., Haß, E., & Hill, J. (2017). Assessment of spatio-temporal changes of smallholder cultivation patterns in the Angolan Miombo belt using segmentation of Landsat time series. Remote Sensing of Environment, 195, 118-129

Senf, C., Pflugmacher, D., Hostert, P., & Seidl, R. (2017). Using Landsat time series for characterizing forest disturbance dynamics in the coupled human and natural systems of Central Europe. ISPRS Journal of Photogrammetry and Remote Sensing, 130, 453-463

Senf, C., Seidl, R., & Hostert, P. (2017). Remote sensing of forest insect disturbances: Current state and future directions. International Journal of Applied Earth Observation and Geoinformation, 60, 49-60

Swinnen, J., Burkitbayeva, S., Schierhorn, F., Prishchepov, A.V., & Müller, D. (2017). Production potential in the “bread baskets” of Eastern Europe and Central Asia. Global Food Security, 14, 38-53

Verdonck, M.-L., Okujeni, A., van der Linden, S., Demuzere, M., De Wulf, R., & Van Coillie, F. (2017). Influence of neighbourhood information on ‘Local Climate Zone’ mapping in heterogeneous cities. International Journal of Applied Earth Observation and Geoinformation, 62, 102-113

Yin, H., Khamzina, A., Pflugmacher, D., & Martius, C. (2017). Forest cover mapping in post-Soviet Central Asia using multi-resolution remote sensing imagery. Scientific Reports, 7


2016 go back up to list of years

Chatalova, L., Müller, D., Valentinov, V., & Balmann, A. (2016). The Rise of the Food Risk Society and the Changing Nature of the Technological Treadmill. Sustainability, 8, 584

Estel, S., Kuemmerle, T., Levers, C., Baumann, M., & Hostert, P. (2016). Mapping cropland-use intensity across Europe using MODIS NDVI time series. Environmental Research Letters, 11, 024015

Frantz, D., Röder, A., Stellmes, M., & Hill, J. (2016). An Operational Radiometric Landsat Preprocessing Framework for Large-Area Time Series Applications. IEEE Transactions on Geoscience and Remote Sensing, 54, 3928-3943

Frantz, D., Röder, A., Udelhoven, T., & Schmidt, M. (2016). Forest Disturbance Mapping Using Dense Synthetic Landsat/MODIS Time-Series and Permutation-Based Disturbance Index Detection. Remote Sensing, 8, 277

Frantz, D., Stellmes, M., Röder, A., & Hill, J. (2016). Fire spread from MODIS burned area data: obtaining fire dynamics information for every single fire. International Journal of Wildland Fire, 25, 1228-1237

Frantz, D., Stellmes, M., Röder, A., Udelhoven, T., Mader, S., & Hill, J. (2016). Improving the Spatial Resolution of Land Surface Phenology by Fusing Medium- and Coarse-Resolution Inputs. IEEE Transactions on Geoscience and Remote Sensing, 54, 4153-4164

Friis, C., Nielsen, J.Ø., Otero, I., Haberl, H., Niewöhner, J., & Hostert, P. (2016). From teleconnection to telecoupling: taking stock of an emerging framework in land system science. Journal of Land Use Science, 11, 131-153

Grogan, K., Pflugmacher, D., Hostert, P., Verbesselt, J., & Fensholt, R. (2016). Mapping Clearances in Tropical Dry Forests Using Breakpoints, Trend, and Seasonal Components from MODIS Time Series: Does Forest Type Matter? Remote Sensing, 8, 657

Hissa, L.d.B.V., Müller, H., Aguiar, A.P.D., Hostert, P., & Lakes, T. (2016). Historical carbon fluxes in the expanding deforestation frontier of Southern Brazilian Amazonia (1985–2012). Regional Environmental Change, 1-13

Joshi, N., Baumann, M., Ehammer, A., Fensholt, R., Grogan, K., Hostert, P., Jepsen, M.R., Kuemmerle, T., Meyfroidt, P., Mitchard, E.T., Reiche, J., Ryan, C.M., & Waske, B. (2016). A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring. Remote Sensing, 8, 1-23

Kuemmerle, T., Levers, C., Erb, K., Estel, S., Jepsen, M.R., Müller, D., Plutzar, C., Stürck, J., Verkerk, P.J., Verburg, P.H., & Reenberg, A. (2016). Hotspots of land use change in Europe. Environmental Research Letters, 11, 064020

Levers, C., Butsic, V., Verburg, P.H., Müller, D., & Kuemmerle, T. (2016). Drivers of changes in agricultural intensity in Europe. Land Use Policy, 58, 380-393

Meyfroidt, P., Schierhorn, F., Prishchepov, A.V., Müller, D., & Kuemmerle, T. (2016). Drivers, constraints and trade-offs associated with recultivating abandoned cropland in Russia, Ukraine and Kazakhstan. Global Environmental Change, 37, 1-15

Müller, D. (2016). Research Frontiers in Land Use Science. Journal of Land Use Science, 11, 619-622

Müller, H., Griffiths, P., & Hostert, P. (2016). Long-term deforestation dynamics in the Brazilian Amazon—Uncovering historic frontier development along the Cuiabá–Santarém highway. International Journal of Applied Earth Observation and Geoinformation, 44, 61-69

Müller, H., Rufin, P., Griffiths, P., de Barros Viana Hissa, L., & Hostert, P. (2016). Beyond deforestation: Differences in long-term regrowth dynamics across land use regimes in southern Amazonia. Remote Sensing of Environment, 186, 652-662

Niewöhner, J., Bruns, A., Haberl, H., Hostert, P., Krueger, T., Lauk, C., Lutz, J., Müller, D., & Nielsen, J.Ø. (2016). Land Use Competition: Ecological, Economic and Social Perspectives. In J. Niewöhner, A. Bruns, P. Hostert, T. Krueger, J.Ø. Nielsen, H. Haberl, C. Lauk, J. Lutz, & D. Müller (Eds.), Land Use Competition: Ecological, Economic and Social Perspectives (pp. 1-17). Cham: Springer International Publishing

Pasgaard, M., Sun, Z., Müller, D., & Mertz, O. (2016). Challenges and opportunities for REDD+: A reality check from perspectives of effectiveness, efficiency and equity. Environmental Science & Policy, 63, 161-169

Pinheiro, T., Escada, M., Valeriano, D., Hostert, P., Gollnow, F., & Müller, H. (2016). Forest degradation associated with logging frontier expansion in the Amazon: the BR-163 region in southwestern Pará, Brazil. Earth Interactions

Plutzar, C., Kroisleitner, C., Haberl, H., Fetzel, T., Bulgheroni, C., Beringer, T., Hostert, P., Kastner, T., Kuemmerle, T., Lauk, C., Levers, C., Lindner, M., Moser, D., Müller, D., Niedertscheider, M., Paracchini, M.L., Schaphoff, S., Verburg, P.H., Verkerk, P.J., & Erb, K.-H. (2016). Changes in the spatial patterns of human appropriation of net primary production (HANPP) in Europe 1990–2006. Regional Environmental Change, 16, 1225-1238

Revermann, R., Finckh, M., Stellmes, M., Strohbach, B., Frantz, D., & Oldeland, J. (2016). Linking Land Surface Phenology and Vegetation-Plot Databases to Model Terrestrial Plant α-Diversity of the Okavango Basin. Remote Sensing, 8, 370

Ribeiro, P.F., Santos, J.L., Santana, J., Reino, L., Leitão, P.J., Beja, P., & Moreira, F. (2016). Landscape makers and landscape takers: links between farming systems and landscape patterns along an intensification gradient. Landscape Ecology, 31, 791-803

Schierhorn, F., Meyfroidt, P., Kastner, T., Kuemmerle, T., Prishchepov, A.V., & Müller, D. (2016). The dynamics of beef trade between Brazil and Russia and their environmental implications. Global Food Security, 11, 84-92

Schneibel, A., Stellmes, M., Röder, A., Finckh, M., Revermann, R., Frantz, D., & Hill, J. (2016). Evaluating the Trade-Off Between Food and Timber Resulting from the Conversion of Miombo Forests to Agricultural Land in Angola Using Multi-Temporal Landsat Data. Science of The Total Environment, 548–549, 390-401

Schwieder, M., Leitão, P.J., da Cunha Bustamante, M.M., Ferreira, L.G., Rabe, A., & Hostert, P. (2016). Mapping Brazilian savanna vegetation gradients with Landsat time series. International Journal of Applied Earth Observation and Geoinformation, 52, 361-370

Senf, C., Wulder, M.A., Campbell, E.M., & Hostert, P. (2016). Using Landsat to Assess the Relationship Between Spatiotemporal Patterns of Western Spruce Budworm Outbreaks and Regional-Scale Weather Variability. Canadian Journal of Remote Sensing, 42, 706-718

Shapiro, A.C., Aguilar-Amuchastegui, N., Hostert, P., & Bastin, J.-F. (2016). Using fragmentation to assess degradation of forest edges in Democratic Republic of Congo. Carbon Balance and Management, 11, 1-15

Smaliychuk, A., Müller, D., Prishchepov, A.V., Levers, C., Kruhlov, I., & Kuemmerle, T. (2016). Recultivation of abandoned agricultural lands in Ukraine: Patterns and drivers. Global Environmental Change, 38, 70-81

van der Linden, S. (2016). Book review: Global Urban Monitoring and Assessment Through Earth Observation, Qihao Weng. Taylor & Francis Series in Remote Sensing Applications, CRC Press, Boca Raton (2014). International Journal of Applied Earth Observation and Geoinformation, 47, 151-152

Verkerk, P.J., Lindner, M., Pérez-Soba, M., Paterson, J.S., Helming, J., Verburg, P.H., Kuemmerle, T., Lotze-Campen, H., Moiseyev, A., Müller, D., Popp, A., Schulp, C.J.E., Stürck, J., Tabeau, A., Wolfslehner, B., & van der Zanden, E.H. (2016). Identifying pathways to visions of future land use in Europe. Regional Environmental Change, 18, 817-830

2015 go back up to list of years

Bleyhl, B., Sipko, T., Trepet, S., Bragina, E., Leitão, P.J., Radeloff, V.C., & Kuemmerle, T. (2015). Mapping seasonal European bison habitat in the Caucasus Mountains to identify potential reintroduction sites. Biological Conservation, 191, 83-92

Eisele, A., Chabrillat, S., Hecker, C., Hewson, R., Lau, I.C., Rogass, C., Segl, K., Cudahy, T.J., Udelhoven, T., Hostert, P., & Kaufmann, H. (2015). Advantages using the thermal infrared (TIR) to detect and quantify semi-arid soil properties. Remote Sensing of Environment

Estel, S., Kuemmerle, T., Alcántara, C., Levers, C., Prishchepov, A., & Hostert, P. (2015). Mapping farmland abandonment and recultivation across Europe using MODIS NDVI time series. Remote Sensing of Environment, 163, 312-325

Frantz, D., Röder, A., Stellmes, M., & Hill, J. (2015). On the Derivation of a Spatially Distributed Aerosol Climatology for its Incorporation in a Radiometric Landsat Preprocessing Framework. Remote Sensing Letters, 6, 647-656

Frantz, D., Röder, A., Udelhoven, T., & Schmidt, M. (2015). Enhancing the Detectability of Clouds and Their Shadows in Multitemporal Dryland Landsat Imagery: Extending Fmask. IEEE Geoscience and Remote Sensing Letters, 12, 1242-1246

Gingrich, S., Niedertscheider, M., Kastner, T., Haberl, H., Cosor, G., Krausmann, F., Kuemmerle, T., Müller, D., Reith-Musel, A., Jepsen, M.R., Vadineanu, A., & Erb, K.-H. (2015). Exploring long-term trends in land use change and aboveground human appropriation of net primary production in nine European countries. Land Use Policy, 47, 426-438

Griffiths, P., & Hostert, P. (2015). Forest Cover Dynamics During Massive Ownership Changes – Annual Disturbance Mapping Using Annual Landsat Time-Series. In C. Kuenzer, S. Dech, & W. Wagner (Eds.), Remote Sensing Time Series (pp. 307-322): Springer International Publishing

Grogan, K., Pflugmacher, D., Hostert, P., Kennedy, R., & Fensholt, R. (2015). Cross-border forest disturbance and the role of natural rubber in mainland Southeast Asia using annual Landsat time series. Remote Sensing of Environment, 169, 438-453

Guanter, L., Kaufmann, H., Segl, K., Foerster, S., Rogass, C., Chabrillat, S., Kuester, T., Hollstein, A., Rossner, G., Chlebek, C., Straif, C., Fischer, S., Schrader, S., Storch, T., Heiden, U., Mueller, A., Bachmann, M., Mühle, H., Müller, R., Habermeyer, M., Ohndorf, A., Hill, J., Buddenbaum, H., Hostert, P., van der Linden, S., Leitão, P., Rabe, A., Doerffer, R., Krasemann, H., Xi, H., Mauser, W., Hank, T., Locherer, M., Rast, M., Staenz, K., & Sang, B. (2015). The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation. Remote Sensing, 7, 8830-8857

Held, M., Rabe, A., Senf, C., van der Linden, S., & Hostert, P. (2015). Analyzing Hyperspectral and Hypertemporal Data by Decoupling Feature Redundancy and Feature Relevance. Geoscience and Remote Sensing Letters, IEEE, 12, 983-987

Hostert, P., Griffiths, P., van der Linden, S., & Pflugmacher, D. (2015). Time Series Analyses in a New Era of Optical Satellite Data. In C. Kuenzer, S. Dech, & W. Wagner (Eds.), Remote Sensing Time Series - Revealing Land Surface Dynamics (pp. 25-41). Switzerland: Springer

Jepsen, M.R., Kuemmerle, T., Müller, D., Erb, K., Verburg, P.H., Haberl, H., Vesterager, J.P., Andrič, M., Antrop, M., Austrheim, G., Björn, I., Bondeau, A., Bürgi, M., Bryson, J., Caspar, G., Cassar, L.F., Conrad, E., Chromý, P., Daugirdas, V., Van Eetvelde, V., Elena-Rosselló, R., Gimmi, U., Izakovicova, Z., Jančák, V., Jansson, U., Kladnik, D., Kozak, J., Konkoly-Gyuró, E., Krausmann, F., Mander, Ü., McDonagh, J., Pärn, J., Niedertscheider, M., Nikodemus, O., Ostapowicz, K., Pérez-Soba, M., Pinto-Correia, T., Ribokas, G., Rounsevell, M., Schistou, D., Schmit, C., Terkenli, T.S., Tretvik, A.M., Trzepacz, P., Vadineanu, A., Walz, A., Zhllima, E., & Reenberg, A. (2015). Transitions in European land-management regimes between 1800 and 2010. Land Use Policy, 49, 53-64

Kraemer, R., Prishchepov, A.V., Müller, D., Kuemmerle, T., Radeloff, V.C., Dara, A., Terekhov, A., & Frühauf, M. (2015). Long-term agricultural land-cover change and potential for cropland expansion in the former Virgin Lands area of Kazakhstan. Environmental Research Letters, 10, 054012

Kuemmerle, T., Kaplan, J.O., Prishchepov, A.V., Rylsky, I., Chaskovskyy, O., Tikunov, V.S., & Müller, D. (2015). Forest transitions in Eastern Europe and their effects on carbon budgets. Global Change Biology, 21, 3049-3061

Leitão, P., Schwieder, M., Suess, S., Okujeni, A., Galvão, L., van der Linden, S., & Hostert, P. (2015). Monitoring Natural Ecosystem and Ecological Gradients: Perspectives with EnMAP. Remote Sensing, 7, 13098-13119

Leitão, P.J., Schwieder, M., Suess, S., Catry, I., Milton, E.J., Moreira, F., Osborne, P.E., Pinto, M.J., van der Linden, S., & Hostert, P. (2015). Mapping beta diversity from space: Sparse Generalised Dissimilarity Modelling (SGDM) for analysing high-dimensional data. Methods in Ecology and Evolution, 6, 764–771

Martins da Silva, P., Berg, M.P., da Silva, A.A., Dias, S., Leitão, P.J., Chamberlain, D., Niemelä, J., Serrano, A.R.M., & Sousa, J.P. (2015). Soil fauna through the landscape window: factors shaping surface-and soil-dwelling communities across spatial scales in cork-oak mosaics. Landscape Ecology, 30, 1511-1526

Mikoláš, M., Svitok, M., Tejkal, M., Leitão, P.J., Morrissey, R.C., Svoboda, M., Seedre, M., & Fontaine, J.B. (2015). Evaluating forest management intensity on an umbrella species: Capercaillie persistence in central Europe. Forest Ecology and Management, 354, 26-34

Müller, H., Rufin, P., Griffiths, P., Barros Siqueira, A.J., & Hostert, P. (2015). Mining dense Landsat time series for separating cropland and pasture in a heterogeneous Brazilian savanna landscape. Remote Sensing of Environment, 156, 490-499

Munteanu, C., Kuemmerle, T., Keuler, N.S., Müller, D., Balázs, P., Dobosz, M., Griffiths, P., Halada, L., Kaim, D., Király, G., Konkoly-Gyuró, É., Kozak, J., Lieskovsky, J., Ostafin, K., Ostapowicz, K., Shandra, O., & Radeloff, V.C. (2015). Legacies of 19th century land use shape contemporary forest cover. Global Environmental Change, 34, 83-94

Okujeni, A., van der Linden, S., & Hostert, P. (2015). Extending the vegetation–impervious–soil model using simulated EnMAP data and machine learning. Remote Sensing of Environment, 158, 69-80

Rufin, P., Müller, H., Pflugmacher, D., & Hostert, P. (2015). Land use intensity trajectories on Amazonian pastures derived from Landsat time series. International Journal of Applied Earth Observation and Geoinformation, 41, 1-10

Senf, C., Leitão, P.J., Pflugmacher, D., van der Linden, S., & Hostert, P. (2015). Mapping land cover in complex Mediterranean landscapes using Landsat: Improved classification accuracies from integrating multi-seasonal and synthetic imagery. Remote Sensing of Environment, 156, 527-536

Senf, C., Pflugmacher, D., Wulder, M.A., & Hostert, P. (2015). Characterizing spectral–temporal patterns of defoliator and bark beetle disturbances using Landsat time series. Remote Sensing of Environment, 170, 166-177

Suess, S., van der Linden, S., Okujeni, A., Leitão, P., Schwieder, M., & Hostert, P. (2015). Using Class Probabilities to Map Gradual Transitions in Shrub Vegetation from Simulated EnMAP Data. Remote Sensing, 7, 10668

van der Linden, S., Rabe, A., Held, M., Jakimow, B., Leitão, P., Okujeni, A., Schwieder, M., Suess, S., & Hostert, P. (2015). The EnMAP-Box—A Toolbox and Application Programming Interface for EnMAP Data Processing. Remote Sensing, 7, 11249

Verburg, P.H., Crossman, N., Ellis, E.C., Heinimann, A., Hostert, P., Mertz, O., Nagendra, H., Sikor, T., Erb, K.-H., Golubiewski, N., Grau, R., Grove, M., Konaté, S., Meyfroidt, P., Parker, D.C., Chowdhury, R.R., Shibata, H., Thomson, A., & Zhen, L. (2015). Land system science and sustainable development of the earth system: A global land project perspective. Anthropocene, 12, 29-41

2014 go back up to list of years

Cheong, Y.L., Leitão, P.J., & Lakes, T. (2014). Assessment of land use factors associated with dengue cases in Malaysia using Boosted Regression Trees. Spatial and Spatio-temporal Epidemiology, 10, 75-84

Frayer, J., Müller, D., Sun, Z., Munroe, D., & Xu, J. (2014). Processes Underlying 50 Years of Local Forest-Cover Change in Yunnan, China. Forests, 5, 3257-3273

Frayer, J., Sun, Z., Müller, D., Munroe, D.K., & Xu, J. (2014). Analyzing the drivers of tree planting in Yunnan, China, with Bayesian networks. Land Use Policy, 36, 248–258

Griffiths, P., Kuemmerle, T., Baumann, M., Radeloff, V.C., Abrudan, I.V., Lieskovsky, J., Munteanu, C., Ostapowicz, K., & Hostert, P. (2014). Forest disturbances, forest recovery, and changes in forest types across the Carpathian ecoregion from 1985 to 2010 based on Landsat image composites. Remote Sensing of Environment, 151, 72-88

Gruebner, O., Khan, M., Lautenbach, S., Müller, D., Krämer, A., Lakes, T., Hostert, P., & Galea, S. (2014). The spatial epidemiology of mental well-being in Dhaka’s slums. In P. Kanaroglou, A. Paez, E. Delmelle, & D. Ghosh (Eds.), Spatial Analysis in Health Geography. Burlington, USA: Ashgate Publishing Company

Gruebner, O., Sachs, J., Nockert, A., Frings, M., Khan, M.M.H., Lakes, T., & Hostert, P. (2014). Mapping the Slums of Dhaka from 2006 to 2010. Dataset Papers in Science, 2014, 7

Jägermeyr, J., Gerten, D., Lucht, W., Hostert, P., Migliavacca, M., & Nemani, R. (2014). A high-resolution approach to estimating ecosystem respiration at continental scales using operational satellite data. Global Change Biology, 20, 1191-1210

Kennedy, R.E., Andréfouët, S., Cohen, W.B., Gómez, C., Griffiths, P., Hais, M., Healey, S.P., Helmer, E.H., Hostert, P., Lyons, M.B., Meigs, G.W., Pflugmacher, D., Phinn, S.R., Powell, S.L., Scarth, P., Sen, S., Schroeder, T.A., Schneider, A., Sonnenschein, R., Vogelmann, J.E., Wulder, M.A., & Zhu, Z. (2014). Bringing an ecological view of change to Landsat-based remote sensing. Frontiers in Ecology and the Environment

Kuemmerle, T., Baskin, L., Leitão, P.J., Prishchepov, A.V., Thonicke, K., & Radeloff, V.C. (2014). Potential impacts of oil and gas development and climate change on migratory reindeer calving grounds across the Russian Arctic. Diversity and Distributions, 20, 416-429

Kuester, T., Spengler, D., Barczi, J.F., Segl, K., Hostert, P., & Kaufmann, H. (2014). Simulation of Multitemporal and Hyperspectral Vegetation Canopy Bidirectional Reflectance Using Detailed Virtual 3-D Canopy Models. Geoscience and Remote Sensing, IEEE Transactions on, 52, 2096-2108

Levers, C., Verkerk, P.J., Müller, D., Verburg, P.H., Butsic, V., Leitão, P.J., Lindner, M., & Kuemmerle, T. (2014). Drivers of forest harvesting intensity patterns in Europe. Forest Ecology and Management, 315, 160-172

Machwitz, M., Giustarini, L., Bossung, C., Frantz, D., Schlerf, M., Lilienthal, H., Wandera, L., Matgen, P., Hoffmann, L., & Udelhoven, T. (2014). Enhanced biomass prediction by assimilating satellite data into a crop growth model. Environmental Modelling & Software, 62, 437-453

Müller, D., & Munroe, D.K. (2014). Current and future challenges in land-use science. Journal of Land Use Science, 9, 133-142

Müller, D., Sun, Z., Vongvisouk, T., Pflugmacher, D., Xu, J., & Mertz, O. (2014). Regime shifts limit the predictability of land-system change. Global Environmental Change, 28, 75-83

Munteanu, C., Kuemmerle, T., Boltiziar, M., Butsic, V., Gimmi, U., Lúboš, H., Kaim, D., Király, G., Konkoly-Gyuró, É., Kozak, J., Lieskovský, J., Mojses, M., Müller, D., Ostafin, K., Ostapowicz, K., Shandra, O., Štych, P., Walker, S., & Radeloff, V.C. (2014). Forest and agricultural land change in the Carpathian region—A meta-analysis of long-term patterns and drivers of change. Land Use Policy, 38, 685-697

Niedertscheider, M., Kuemmerle, T., Müller, D., & Erb, K.-H. (2014). Exploring the effects of drastic institutional and socio-economic changes on land system dynamics in Germany between 1883 and 2007. Global Environmental Change, 28, 98-108

Okujeni, A., van der Linden, S., Jakimow, B., Rabe, A., Verrelst, J., & Hostert, P. (2014). A Comparison of Advanced Regression Algorithms for Quantifying Urban Land Cover. Remote Sensing, 6, 6324-6346

Roy, D.P., Wulder, M.A., Loveland, T.R., C.E, W., Allen, R.G., Anderson, M.C., Helder, D., Irons, J.R., Johnson, D.M., Kennedy, R., Scambos, T.A., Schaaf, C.B., Schott, J.R., Sheng, Y., Vermote, E.F., Belward, A.S., Bindschadler, R., Cohen, W.B., Gao, F., Hipple, J.D., Hostert, P., Huntington, J., Justice, C.O., Kilic, A., Kovalskyy, V., Lee, Z.P., Lymburner, L., Masek, J.G., McCorkel, J., Shuai, Y., Trezza, R., Vogelmann, J., Wynne, R.H., & Zhu, Z. (2014). Landsat-8: Science and product vision for terrestrial global change research. Remote Sensing of Environment, 145, 154-172

Schierhorn, F., Faramarzi, M., Prishchepov, A.V., Koch, F.J., & Müller, D. (2014). Quantifying yield gaps in wheat production in Russia. Environmental Research Letters, 9, 084017

Schierhorn, F., Müller, D., Prishchepov, A.V., Faramarzi, M., & Balmann, A. (2014). The potential of Russia to increase its wheat production through cropland expansion and intensification. Global Food Security, 3, 133-141

Schwieder, M., Leitão, P.J., Suess, S., Senf, C., & Hostert, P. (2014). Estimating Fractional Shrub Cover Using Simulated EnMAP Data: A Comparison of Three Machine Learning Regression Techniques. Remote Sensing, 6, 3427-3445

St-Louis, V., Pidgeon, A.M., Kuemmerle, T., Sonnenschein, R., Radeloff, V.C., Clayton, M.K., Locke, B.A., Bash, D., & Hostert, P. (2014). Modelling avian biodiversity using raw, unclassified satellite imagery. Philosophical Transactions of the Royal Society B: Biological Sciences, 369, 1471-2970

Suess, S., Linden, S.v.d., Leitão, P.J., Okujeni, A., Waske, B., & Hostert, P. (2014). Import Vector Machines for Quantitative Analysis of Hyperspectral Data. IEEE Geoscience and Remote Sensing Letters, 11, 449-453

White, J.C., Wulder, M.A., Hobart, G.W., Luther, J.E., Hermosilla, T., Griffiths, P., Coops, N.C., Hall, R.J., Hostert, P., Dyk, A., & Guindon, L. (2014). Pixel-Based Image Compositing for Large-Area Dense Time Series Applications and Science. Canadian Journal of Remote Sensing, 192-212

Yin, H., Pflugmacher, D., Kennedy, R.E., Sulla-Menashe, D., & Hostert, P. (2014). Mapping Annual Land Use and Land Cover Changes Using MODIS Time Series. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 7, 3421-3427

2013 go back up to list of years

Alcantara, C., Kuemmerle, T., Baumann, M., Bragina, E.V., Griffiths, P., Hostert, P., Knorn, J., Müller, D., Prishchepov, A.V., Schierhorn, F., Sieber, A., & Radeloff, V.C. (2013). Mapping the extent of abandoned farmland in Central and Eastern Europe using MODIS time series satellite data. Environmental Research Letters, 8, 035035

Buchhorn, M., Walker, D., Heim, B., Raynolds, M., Epstein, H., & Schwieder, M. (2013). Ground-Based Hyperspectral Characterization of Alaska Tundra Vegetation along Environmental Gradients. Remote Sensing, 5, 3971-4005

Cheong, Y.L., Burkart, K., Leitão, P.J., & Lakes, T. (2013). Assessing Weather Effects on Dengue Disease in Malaysia. International Journal of Environmental Research and Public Health, 10, 6319-6334

Cord, A.F., Meentemeyer, R.K., Leitão, P.J., & Václavík, T. (2013). Modelling species distributions with remote sensing data: bridging disciplinary perspectives. Journal of Biogeography, 40, 2226-2227

Dormann, C.F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carré, G., Marquéz, J.R.G., Gruber, B., Lafourcade, B., Leitão, P.J., Münkemüller, T., McClean, C., Osborne, P.E., Reineking, B., Schröder, B., Skidmore, A.K., Zurell, D., & Lautenbach, S. (2013). Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography, 36, 27-46

Erb, K.-H., Haberl, H., Jepsen, M.R., Kuemmerle, T., Lindner, M., Müller, D., Verburg, P.H., & Reenberg, A. (2013). A conceptual framework for analysing and measuring land-use intensity. Current Opinion in Environmental Sustainability, 5, 464-470

Griffiths, P., Müller, D., Kuemmerle, T., & Hostert, P. (2013). Agricultural land change in the Carpathian ecoregion after the breakdown of socialism and expansion of the European Union. Environmental Research Letters, 8, 045024

Griffiths, P., van der Linden, S., Kuemmerle, T., & Hostert, P. (2013). A Pixel-Based Landsat Compositing Algorithm for Large Area Land Cover Mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6, 2088-2101

Hostert, P. (Ed.) (2013). Forschung zu Klimafolgen und Landnutzungswandel. (pp. 12-18), Berlin: Humboldt Universitäts Gesellschaft

Knorn, J., Kuemmerle, T., Radeloff, V.C., Keeton, W.S., Gancz, V., Biriž, I.-A., Svoboda, M., Griffiths, P., Hagatis, A., & Hostert, P. (2013). Continued loss of temperate old-growth forests in the Romanian Carpathians despite an increasing protected area network. Environmental Conservation, 40, 182-193

Kuemmerle, T., Erb, K., Meyfroidt, P., Müller, D., Verburg, P.H., Estel, S., Haberl, H., Hostert, P., Jepsen, M.R., Kastner, T., Levers, C., Lindner, M., Plutzar, C., Verkerk, P.J., van der Zanden, E.H., & Reenberg, A. (2013). Challenges and opportunities in mapping land use intensity globally. Current Opinion in Environmental Sustainability, 5, 484-493

Main-Knorn, M., Cohen, W.B., Kennedy, R.E., Grodzki, W., Pflugmacher, D., Griffiths, P., & Hostert, P. (2013). Monitoring coniferous forest biomass change using a Landsat trajectory-based approach. Remote Sensing of Environment, 139, 277-290

Müller, D., Leitão, P.J., & Sikor, T. (2013). Comparing the determinants of cropland abandonment in Albania and Romania using boosted regression trees. Agricultural Systems, 117, 66-77

Müller, D., Suess, S., Hoffmann, A.A., & Buchholz, G. (2013). The Value of Satellite-Based Active Fire Data for Monitoring, Reporting and Verification of REDD+ in the Lao PDR. Human Ecology, 41, 7-20

Ohnesorge, B., Plieninger, T., & Hostert, P. (2013). Management Effectiveness and Land Cover Change in Dynamic Cultural Landscapes: Assessing a Central European Biosphere Reserve. Ecology and Society, 18

Okujeni, A., van der Linden, S., Tits, L., Somers, B., & Hostert, P. (2013). Support vector regression and synthetically mixed training data for quantifying urban land cover. Remote Sensing of Environment, 137, 184-197

Olbertz, J.-H., & Hostert, P. (2013). Forschung für Nachhaltigkeit - nachhaltige Forschung: Die Rolle der Humboldt -Universität. In P. Hostert (Ed.), Forschung zu Klimafolgen und Landnutzungswandel (pp. 7-11). Berlin: Humboldt Universitäts Gesellschaft

Prishchepov, A.V., Müller, D., Dubinin, M., Baumann, M., & Radeloff, V.C. (2013). Determinants of agricultural land abandonment in post-Soviet European Russia. Land Use Policy, 30, 873-884

Schierhorn, F., Müller, D., Beringer, T., Prishchepov, A.V., Kuemmerle, T., & Balmann, A. (2013). Post-Soviet cropland abandonment and carbon sequestration in European Russia, Ukraine and Belarus. Global Biogeochemical Cycles, 27, 1175-1185

Senf, C., Pflugmacher, D., van der Linden, S., & Hostert, P. (2013). Mapping Rubber Plantations and Natural Forests in Xishuangbanna (Southwest China) Using Multi-Spectral Phenological Metrics from MODIS Time Series. Remote Sensing, 5, 2795-2812

Sieber, A., Kuemmerle, T., Prishchepov, A.V., Wendland, K.J., Baumann, M., Radeloff, V.C., Baskin, L.M., & Hostert, P. (2013). Landsat-based mapping of post-Soviet land-use change to assess the effectiveness of the Oksky and Mordovsky protected areas in European Russia. Remote Sensing of Environment, 133, 38-51

Stellmes, M., Frantz, D., Finckh, M., Revermann, R., Röder, A., & Hill, J. (2013). Fire Frequency, Fire Seasonality and Fire Intensity within the Okavango Region Derived from MODIS Fire Products. In J. Oldeland, C. Erb, M. Finckh, & N. Jürgens (Eds.), Biodiversity & Ecology 5 - Special Volume: Environmental Assessments in the Okavango Region (pp. 351-362). Hamburg, Germany: University of Hamburg

Sun, Z., & Müller, D. (2013). A framework for modeling payments for ecosystem services with agent-based models, Bayesian belief networks and opinion dynamics models. Environmental Modelling & Software, 45, 15–28

Tigges, J., Lakes, T., & Hostert, P. (2013). Urban Vegetation Classification: Benefits of Multi-Temporal RapidEye and Ancillary LiDAR Data. Remote Sensing of Environment, 136, 66-75

2012 go back up to list of years

Griffiths, P., Kuemmerle, T., Kennedy, R.E., Abrudan, I.V., Knorn, J., & Hostert, P. (2012). Using annual time-series of Landsat images to assess the effects of forest restitution in post-socialist Romania. Remote Sensing of Environment, 118, 199-214

Gruebner, O., Khan, M.M.H., Lautenbach, S., Müller, D., Krämer, A., Lakes, T., & Hostert, P. (2012). Mental health in the slums of Dhaka - a geoepidemiological study. BMC Public Health, 12

Jakimow, B., Oldenburg, C., Rabe, A., Waske, B., van der Linden, S., & Hostert, P. (2012). Manual for Application: ImageRF (1.1). Universtat Bonn and Humboldt Universitat zu Berlin, Germany

Knorn, J., Kuemmerle, T., Radeloff, V.C., Szabo, A., Mindrescu, M., Keeton, W.S., Abrudan, I.V., Griffiths, P., Gancz, V., & Hostert, P. (2012). Forest restitution and protected area effectiveness in post-socialist Romania. Biological Conservation, 146, 204-212

Lauf, S., Haase, D., Hostert, P., Lakes, T., & Kleinschmit, B. (2012). Uncovering land-use dynamics driven by human decision-making - A combined model approach using cellular automata and system dynamics. Environmental Modelling & Software, 27-28, 71-82

Mertz, O., Müller, D., Sikor, T., Hett, C., Heinimann, A., Castella, J.-C., Lestrelin, G., Ryan, C.M., Reay, D.S., Schmidt-Vogt, D., Danielsen, F., Theilade, I., Noordwijk, M.v., Verchot, L.V., Burgess, N.D., Berry, N.J., Pham, T.T., Messerli, P., Xu, J., Fensholt, R., Hostert, P., Pflugmacher, D., Bruun, T.B., Neergaard, A.d., Dons, K., Dewi, S., Rutishauser, E., & Sun, Z. (2012). The forgotten D: challenges of addressing forest degradation in complex mosaic landscapes under REDD+. Geografisk Tidsskrift-Danish Journal of Geography, 112, 63-76

2011 go back up to list of years

Moreira, F., Leitão, P.J., Synes, N.W., Alcazar, R., Catry, I., Carrapato, C., Delgado, A., Estanque, B., Ferreira, R., Geraldes, P., Gomes, M., Guilherme, J., Henriques, I., Lecoq, M., Leitão, D., Marques, A.T., Morgado, R., Pedroso, R., Prego, I., Reino, L., Rocha, P., Tomé, R., Zina, H., & Osborne, P.E. (2012). Population trends in the steppe birds of Castro Verde in the period 2006-2011: consequences of a drought event and land use changes? Airo, 22, 79-89

Müller, R., Müller, D., Schierhorn, F., Gerold, G., & Pacheco, P. (2012). Proximate causes of deforestation in the Bolivian lowlands: an analysis of spatial dynamics. Regional Environmental Change, 12, 445-459

Plieninger, T., Schleyer, C., Mantel, M., & Hostert, P. (2012). Is there a forest transition outside forests? Trajectories of farm trees and effects on ecosystem services in an agricultural landscape in Eastern Germany. Land Use Policy, 29, 233-243

Prishchepov, A.V., Radeloff, V.C., Baumann, M., Kuemmerle, T., & Müller, D. (2012). Effects of institutional changes on land use: agricultural land abandonment during the transition from state-command to market-driven economies in post-Soviet Eastern Europe. Environmental Research Letters, 7, 024021

Waske, B., van der Linden, S., Oldenburg, C., Jakimow, B., Rabe, A., & Hostert, P. (2012). imageRF – A user-oriented implementation for remote sensing image analysis with Random Forests. Environmental Modelling & Software, 35, 192-193

Wehrden, H.v., Fischer, J., Brandt, P., Wagner, V., Kümmerer, K., Kuemmerle, T., Nagel, A., Olsson, O., & Hostert, P. (2012). Consequences of nuclear accidents for biodiversity and ecosystem services. Conservation Letters, 5, 81-89

Yin, H., Udelhoven, T., Fensholt, R., Pflugmacher, D., & Hostert, P. (2012). How Normalized Difference Vegetation Index (NDVI) Trendsfrom Advanced Very High Resolution Radiometer (AVHRR) and Système Probatoire d'Observation de la Terre VEGETATION (SPOT VGT) Time Series Differ in Agricultural Areas: An Inner Mongolian Case Study. Remote Sensing, 4, 3364-3389

Baumann, M., Kuemmerle, T., Elbakidze, M., Ozdogan, M., Radeloff, V.C., Keuler, N.S., Prishchepov, A.V., Kruhlov, I., & Hostert, P. (2011). Patterns and drivers of post-socialist farmland abandonment in Western Ukraine. Land Use Policy, 28, 552-562

Epprecht, M., Müller, D., & Minot, N. (2011). How remote are Vietnam’s ethnic minorities? An analysis of spatial patterns of poverty and inequality. The Annals of Regional Science, 46, 349-368

Gruebner, O., Khan, M.H., & Hostert, P. (2011). Spatial Epidemiological Applications in Public Health Research: Examples from the Megacity of Dhaka. In A. Krämer, M. Khan, & F. Kraas (Eds.), Health in Megacities and Urban Areas (pp. 243-261). New York: Springer

Gruebner, O., Khan, M.M.H., Lautenbach, S., Müller, D., Kraemer, A., Lakes, T., & Hostert, P. (2011). Mental health in the slums of Dhaka, Bangladesh – A geo-epidemiological study. International Journal of Health Geographics, 10

Gruebner, O., Mobarak, H.K., Lautenbach, S., Müller, D., Kraemer, A., Lakes, T., & Hostert, P. (2011). A spatial epidemiological analysis of self-rated mental health in the slums of Dhaka. International Journal of Health Geographics, 10, 36: http://www.ij-healthgeographics.com/content/10/31/36/

Hostert, P., Kuemmerle, T., Prishchepov, A., Sieber, A., Lambin, E.F., & Radeloff, V.C. (2011). Rapid land use change after socio-economic disturbances: the collapse of the Soviet Union versus Chernobyl. Environmental Research Letters, 6, 045201

Klaus, M., Holsten, A., Hostert, P., & Kropp, J.P. (2011). Integrated methodology to assess windthrow impacts on forest stands under climate change. Forest Ecology and Management, 261, 1799-1810

Lakes, T., Hostert, P., Kleinschmit, B., Lauf, S., & Tigges, J. (2011). Remote Sensing and spatial modeling of the urban environment: the Berlin case. Progress in Urban Ecology – New Perspectives Berlin: Springer

Leitão, P.J., Moreira, F., & Osborne, P.E. (2011). Effects of geographical data sampling bias on habitat models of species distributions: a case study with steppe birds in southern Portugal. International Journal of Geographical Information Science, 25, 439-454

Main-Knorn, M., Moisen, G.G., Healey, S.P., Keeton, W.S., Freeman, E.A., & Hostert, P. (2011). Evaluating the Remote Sensing and Inventory-Based Estimation of Biomass in the Western Carpathians. Remote Sensing, 3, 1427-1446

Müller, R., Müller, D., Schierhorn, F., & Gerold, G. (2011). Spatiotemporal modeling of the expansion of mechanized agriculture in the Bolivian lowland forests. Applied Geography, 31, 631-640

Sonnenschein, R., Kuemmerle, T., Udelhoven, T., Stellmes, M., & Hostert, P. (2011). Differences in Landsat-based trend analyses in drylands due to the choice of vegetation estimate. Remote Sensing of Environment, 115, 1408-1420

2010 go back up to list of years

Damm, A., Elbers, J., Erler, A., Gioli, B., Hamdi, K., Hutjes, R., Kosvancova, M., Meroni, M., Miglietta, F., Moersch, A., Moreno, J., Schickling, A., Sonnenschein, R., Udelhoven, T., Van Der Linden, S., Hostert, P., & Rascher, U. (2010). Remote sensing of sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP). Global Change Biology, 16, 171-186

Griffiths, P., Hostert, P., Gruebner, O., & van der Linden, S. (2010). Mapping megacity growth with multi-sensor data. Remote Sensing of Environment, 114, 426-439

Hostert, P. (2010). Processing techniques for hyperspectral data. In T. Rashed, & C. Jürgens (Eds.), Remote Sensing of Urban and Suburban Areas (pp. 165-180). Berlin: Springer Academic

Hostert, P., & Gruebner, O. (2010). Geographic Information Systems. In A. Krämer, M. Kretzschmar, & K. Krickeberg (Eds.), Modern infectious disease epidemiology - Concepts, methods, mathematical models, public health (pp. 177-192). Berlin: Springer

Hostert, P., Swayne, F., Cohen, W.B., & Chipman, J. (2010). The Role of Remote Sensing in LTER Projects. In F. Müller, C. Baessler, H. Schubert, & S. Klotz (Eds.), Long-Term Ecological Research (pp. 131-142). Dordrecht: Springer Netherlands

Kuemmerle, T., Olofsson, P., Chaskovskyy, O., Baumann, M., Ostapowicz, K., Woodcock, C.E., Houghton, R.A., Hostert, P., Keeton, W.S., & Radeloff, V.C. (2010). Post-Soviet farmland abandonment, forest recovery, and carbon sequestration in western Ukraine. Global Change Biology, 17, 1335-1349

Kuemmerle, T., Perzanowski, K., Chaskovskyy, O., Ostapowicz, K., Halada, L., Bashta, A.-T., Kruhlov, I., Hostert, P., Waller, D.M., & Radeloff, V.C. (2010). European Bison habitat in the Carpathian Mountains. Biological Conservation, 143, 908-916

Leitão, P.J., Moreira, F., & Osborne, P.E. (2010). Breeding habitat selection of steppe birds in Castro Verde: a remote sensing and advanced statistics approach. Ardeola, 57, 93-116

Rabe, A., Van der Linden, S., & Hostert, P. (2010). ImageSVM, Version 2.1. URL: www. hu-geomatics. de

Rascher, U., Damm, A., Van der Linden, S., Okujeni, A., Pieruschka, R., Schickling, A., & Hostert, P. (2010). Sensing of photosynthetic activity of crops In E.-C. Oerke, R. Gerhards, G. Menz, & R.A. Sikora (Eds.), Precision crop protection - the challenge and use of heterogeneity (pp. 87-99): Springer

van der Linden, S., Rabe, A., Wirth, F., Suess, S., Okujeni, A., & Hostert, P. (2010). imageSVM Regression. Humboldt-Universität zu Berlin, Berlin

Waske, B., van der Linden, S., Benediktsson, J.A., Rabe, A., & Hostert, P. (2010). Sensitivity of Support Vector Machines to Random Feature Selection in Classification of Hyperspectral Data. Geoscience and Remote Sensing, IEEE Transactions on, 48, 2880-2889

Zhllima, E., Viaggi, D., & Müller, D. (2010). Property rights of land and its perception in rural part of central Albania. New Medit, 3, 56-64

Before 2010 go back up to list of years

Gurung, A.B., Bokwa, A., Chełmicki, W., Elbakidze, M., Hirschmugl, M., Hostert, P., Ibisch, P., Kozak, J., Kuemmerle, T., Matei, E., Ostapowicz, K., Pociask-Karteczka, J., Schmidt, L., van der Linden, S., & Zebisch, M. (2009). Global Change Research in the Carpathian Mountain Region. Mountain Research and Development, 29, 282-288

Knorn, J., Rabe, A., Radeloff, V.C., Kuemmerle, T., Kozak, J., & Hostert, P. (2009). Land cover mapping of large areas using chain classification of neighboring Landsat satellite images. Remote Sensing of Environment, 113, 957-964

Kuemmerle, T., Chaskovskyy, O., Knorn, J., Radeloff, V.C., Kruhlov, I., Keeton, W.S., & Hostert, P. (2009). Forest cover change and illegal logging in the Ukrainian Carpathians in the transition period from 1988 to 2007. Remote Sensing of Environment, 113, 1194-1207

Kuemmerle, T., Hostert, P., St-Louis, V., & Radeloff, V.C. (2009). Using image texture to map farmland field size: a case study in Eastern Europe. Journal of Land Use Science, 4, 85-107

Kuemmerle, T., Kozak, J., Radeloff, V., & Hostert, P. (2009). Differences in forest disturbance rates among land ownership types in Poland during and after socialism. Journal of Land Use Science, in press

Kuemmerle, T., Muller, D., Griffiths, P., & Rusu, M. (2009). Land use change in Southern Romania after the collapse of socialism. Regional Environmental Change, 9, 1-12

Lakes, T., Müller, D., & Krüger, C. (2009). Cropland change in southern Romania: a comparison of logistic regressions and artificial neural networks. Landscape Ecology, 24, 1195-1206

Lorent, H., Sonnenschein, R., Tsiourlis, G., Hostert, P., & Lambin, E. (2009). Livestock subsidies and rangeland degradation in central Crete. Ecology and Society, 14, online

Main-Knorn, M., Hostert, P., Kozak, J., & Kuemmerle, T. (2009). Pollution legacies and land use histories shape post-socialist forest cover trends in the Western Carpathians. Forest Ecology and Management, 258, 60-70

Müller, D., Kuemmerle, T., Rusu, M., & Griffiths, P. (2009). Lost in transition: determinants of post-socialist cropland abandonment in Romania. Journal of Land Use Science, 4, 109 - 129

Müller, D., & Mburu, J. (2009). Forecasting hotspots of forest clearing in Kakamega Forest, Western Kenya. Forest Ecology and Management, 257, 968-977

Osborne, P.E., & Leitão, P.J. (2009). Effects of species and habitat positional errors on the performance and interpretation of species distribution models. Diversity and Distributions, 15, 671-681

Rascher, U., Agati, G., Alonso, L., Cecchi, G., Champagne, S., Colombo, R., Damm, A., Daumard, F., de Miguel, E., Fernandez, G., Franch, B., Franke, J., Gerbig, C., Gioli, B., Gómez, J.A., Goulas, Y., Guanter, L., Gutiérrez-de-la-Cámara, Ó., Hamdi, K., Hostert, P., Jiménez, M., Kosvancova, M., Lognoli, D., Meroni, M., Miglietta, F., Moersch, A., Moreno, J., Moya, I., Neininger, B., Okujeni, A., Ounis, A., Palombi, L., Raimondi, V., Schickling, A., Sobrino, J.A., Stellmes, M., Toci, G., Toscano, P., Udelhoven, T., van der Linden, S., & Zaldei, A. (2009). CEFLES2: the remote sensing component to quantify photosynthetic efficiency from the leaf to the region by measuring sun-induced fluorescence in the oxygen absorption bands. Biogeosciences, 6, 1181-1198

Richter, N., Jarmer, T., Chabrillat, S., Oyonarte, C., Hostert, P., & Kaufmann, H. (2009). Free iron oxide determination in Mediterranean soils using diffuse reflectance spectroscopy. Soil Science Society of America Journal, in print

Sikor, T., & Müller, D. (2009). The Limits of State-Led Land Reform: An Introduction. World Development, 37, 1307-1316

Sikor, T., Müller, D., & Stahl, J. (2009). Land fragmentation and cropland abandonment in Albania: Implications for the roles of state and community in post-socialist land consolidation. World Development, 37, 1411-1423

Udelhoven, T., van der Linden, S., Waske, B., Stellmes, M., & Hoffmann, L. (2009). Hypertemporal Classification of Large Areas Using Decision Fusion. Geoscience and Remote Sensing Letters, IEEE, 6, 592-596

van der Linden, S., & Hostert, P. (2009). The influence of urban structures on impervious surface maps from airborne hyperspectral data. Remote Sensing of Environment, 113, 2298-2305

van der Linden, S., Rabe, A., Okujeni, A., & Hostert, P. (2009). Image SVM classification. Application Manual: image SVM version, 2

Waske, B., Chi, M., Benediktsson, J.A., van der Linden, S., & Koetz, B. (2009). Algorithms and Applications for Land Cover Classification–A Review. Geospatial Technology for Earth Observation (pp. 203-233): Springer US

Haag, L., Coenradie, B., Kleinschmit, B., Hostert, P., Damm, A., Goedecke, M., & Schneider, T. (2008). Hybrides Kartierungsverfahren der Bodenversiegelung im urbanen Raum - das Ergebnis für Berlin. Bodenschutz, 12 pp.

Haubrock, S.-N., Chabrillat, S., Kuhnert, M., Hostert, P., & Kaufmann, H. (2008). Surface soil moisture quantification and validation based on hyperspectral data and field measurements. Journal of Applied Remote Sensing, 2

Koetz, B., Morsdorf, F., van der Linden, S., Curt, T., & Allgöwer, B. (2008). Multi-source land cover classification for forest fire management based on imaging spectrometry and LiDAR data. Forest Ecology and Management, 256, 263-271

Kuemmerle, T., Damm, A., & Hostert, P. (2008). A method to detect and correct single-band missing pixels in Landsat TM and ETM+ data. Computers & Geosciences, 34, 445-455

Kuemmerle, T., Hostert, P., Radeloff, V.C., van der Linden, S., Perzanowski, K., & Kruhlov, I. (2008). Cross-border Comparison of Post-socialist Farmland Abandonment in the Carpathians. Ecosystems, 11, 614-628

>Müller, D., & Munroe, D.K. (2008). Changing Rural Landscapes in Albania: Cropland Abandonment and Forest Clearing in the Postsocialist Transition. Annals of the Association of American Geographers, 98, 855-876

Schneevoigt, N.J., van der Linden, S., Thamm, H.-P., & Schrott, L. (2008). Detecting Alpine landforms from remotely sensed imagery. A pilot study in the Bavarian Alps. Geomorphology, 93, 104-119

Sunderlin, W.D., Dewi, S., Puntodewo, A., Müller, D., Angelsen, A., & Epprecht, M. (2008). Why Forests Are Important for Global Poverty Alleviation: A Spatial Explanation. Ecology and Society, 13, 24. [online] URL: http://www.ecologyandsociety.org/vol13/iss22/art24/

Waske, B., & van der Linden, S. (2008). Classifying Multilevel Imagery From SAR and Optical Sensors by Decision Fusion. Geoscience and Remote Sensing, IEEE Transactions on, 46, 1457-1466

Endlicher, W., Langner, M., Hesse, M., Mieg, H.A., Kowarik, I., Hostert, P., Kulke, E., Nützmann, G., Schulz, M., van der Meer, E., Wessolek, G., & Wiegand, C. (2007). Urban Ecology - Definitions and Concepts. In M. Langner, & W. Endlicher (Eds.), Shrinking Cities: Effects on Urban Ecology and Challenges for Urban Development (pp. 1-15). Frankfurt: Lange Verlag

Epprecht, M., Heinimann, A., Minot, N., Muller, D., & Robinson, T. (2007). From Statistical Data to Spatial Knowledge -- informing decision-making in Vietnam. Information Development, 23, 193-204

Hostert, P. (2007). Advanced approaches in urban remote sensing - examples from Berlin. In W. Stefanov, M. Netzband, & C. Redman (Eds.), Applied Remote Sensing for Urban Planning, Governance and Sustainability: Springer Academic

Kuemmerle, T., Hostert, P., Radeloff, V.C., Perzanowski, K., & Kruhlov, I. (2007). Post-socialist forest disturbance in the Carpathian border region of Poland, Slovakia, and Ukraine. Ecological Applications, 17, 1279-1295

Moreira, F., Leitão, P.J., Morgado, R., Alcazar, R., Cardoso, A., Carrapato, C., Delgado, A., Geraldes, P., Gordinho, L., Henriques, I., Lecoq, M., Leitão, D., Marques, A.T., Pedroso, R., Prego, I., Reino, L., Rocha, P., Tomé, R., & Osborne, P.E. (2007). Spatial distribution patterns, habitat correlates and population estimates of steppe birds in Castro Verde. Airo, 17, 5-30

Munroe, D.K., & Müller, D. (2007). Issues in spatially explicit statistical land-use/cover change (LUCC) models: Examples from western Honduras and the Central Highlands of Vietnam. Land Use Policy, 24, 521-530

Trainor, C.R., & Leitão, P.J. (2007). Further significant bird records from Atauro Island, Timor-Leste (East Timor). Forktail, 23, 155-158

van der Linden, S., Janz, A., Waske, B., Eiden, M., & Hostert, P. (2007). Classifying segmented hyperspectral data from a heterogeneous urban environment using support vector machines. Journal of Applied Remote Sensing, 1, 013543

Herold, M., Schiefer, S., Hostert, P., & Roberts, D. (2006). Applying Imaging Spectrometry in Urban Areas. Urban Remote Sensing (pp. 137-164): CRC Press

Hostert, P., Schiefer, S., & Damm, A. (Eds.) (2006). Proceedings of the 1st workshop of the EARSEL Special Interest Group on Urban Remote Sensing - "Challenges and Solutions", 2-3 March 2006, Berlin, Germany

Kuemmerle, T., Radeloff, V.C., Perzanowski, K., & Hostert, P. (2006). Cross-border comparison of land cover and landscape pattern in Eastern Europe using a hybrid classification technique. Remote Sensing of Environment, 103, 449-464

Leitão, P.J., Osborne, P.E., & Moreira, F. (2006). The use of large-scale remote sensing and map data to determine steppe land bird distributions in Baixo Alentejo, Portugal. Journal of Ornithology, 147 (Suppl.1), 201-202

Müller, D., & Sikor, T. (2006). Effects of postsocialist reforms on land cover and land use in South-Eastern Albania. Applied Geography, 26, 175-191

Pijanowski, B.C., Alexandridis, K.T., & Müller, D. (2006). Modelling urbanization patterns in two diverse regions of the world. Journal of Land Use Science, 1, 83-108

Schiefer, S., Hostert, P., & Damm, A. (2006). Correcting brightness gradients in hyperspectral data from urban areas. Remote Sensing of Environment, 101, 25-37

Silva, J.P., Leitão, D., Santos, E., Moreira, F., Prego, I., Pinto, M., Lecoq, M., Catry, T., & Pedroso, R. (2006). Preliminary results of the Little Bustard’s census in Alentejo (Portugal). In D. Leitão, C. Jolivet, M. Rodriguez, & J.P. Tavares (Eds.), Bustard conservation in Europe in the last 15 years: current trends, best practice and future priorities (pp. 55-59). Sandy, U.K.: RSPB/BirdLife

Hostert, P., & Damm, A. (2005). Off the beaten track - analysing urban railway corridors with VHR satellite data. GEO:connexion International Magazine, 11, 18-20

Hill, J., Hostert, P., & Röder, A. (2004). Long-Term Observation of Mediterranean Ecosystems with Satellite Remote Sensing. In S. Mazzoleni, G. Di Pasquale, M. Mulligan, P. Di Martino, & F. Rego (Eds.), Recent Dynamics of Mediterranean Vegetation and Landscape. Chichester: John Wiley & Sons

Sousa, J.P., da Gama, M.M., Pinto, C., Keating, A., Calhôa, F., Lemos, M., Castro, C., Luz, T., Leitão, P., & Dias, S. (2004). Effects of land-use on Collembola diversity patterns in a Mediterranean landscape. Pedobiologia, 48, 609-622

Hill, J., Hostert, P., & Röder, A. (2003). Observation and Long-term Monitoring of Mediterranean Ecosystems with Satellite Remote Sensing and GIS. Management of Environmental Quality, 14, 51-68

Hostert, P., & Hill, J. (2003). Combining trend parameters from EOS data time series. An analysis of plant composition at landscape level. In P. Smits, & L. Bruzzone (Eds.), Analysis of multi-temporal remote sensing images (pp. 216-222)

Hostert, P., Röder, A., & Hill, J. (2003). Coupling spectral unmixing and trend analysis for monitoring of long-term vegetation dynamics in Mediterranean rangelands. Remote Sensing of Environment, 87, 183-197

Hostert, P., Roder, A., Hill, J., Udelhoven, T., & Tsiourlis, G. (2003). Retrospective studies of grazing-induced land degradation: a case study in central Crete, Greece. International Journal of Remote Sensing, 24, 4019-4034

Röder, A., Hill, J., & Hostert, P. (2003). Fernerkundung und Geodatenverarbeitung zum Monitoring von Desertifikation und Degradation im mediterranen Raum. Photogrammetrie, Fernerkundung, Geoinformation, 2003-1, 15-26

Udelhoven, T., Hostert, P., Jarmer, T., & HIll, J. (2003). Modulare Klassifikation von Getreideflächen mit mono-temporalen hyperspektralen Bilddaten des HyMap-Sensors. Photogrammetrie, Fernerkundung, Geoinformation, 2003-1, 35-42

Hostert, P., & Retzlaff, R. (2002). Fernerkundung und Geo-Informationssysteme (GIS). Anwendungsbeispiele im Mittelmeerraum. Geographie und Schule, 24, 18-23

Leitão, P.J., Morgado, R., Delgado, A., & Moreira, F. (2002). Influence of landscape metrics on bird populations of arable farmland in southern Portugal. In D. Chamberlain, & A. Wilson (Eds.), Avian landscape ecology: pure and applied issues in the large-scale ecology of birds (pp. 318-321). Norwich, UK: IALE-UK

Hostert, P., Roder, A., Jarmer, T., Udelhoven, T., & Hill, J. (2001). The potential of remote sensing and GIS for desertification monitoring and assessment. Annals of Arid Zone, 40, 103-140

Radeloff, V., Pidgeon, A.M., & Hostert, P. (1999). Habitat and Population Modelling of Roe Deer using an Interactive Geographical Information System. Ecological Modelling, 114 (2-3), 287-304

Hill, J., Hostert, P., Tsiourlis, G., Kasapidis, P., Udelhoven, T., & Diemer, C. (1998). Monitoring 20 years of increased grazing impact on the Greek island of Crete with earth observation satellites. Journal of Arid Environments, 39, 165-178