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Faculty of Mathematics and Natural Sciences - Geomatics

Prof. Dr. Patrick Hostert

Name
Prof. Dr. Patrick Hostert
Status
professor
Email
patrick.hostert (at) geo.hu-berlin.de
Homepage
http://www.geographie.hu-berlin.de/Members/hostert_patrick
Office location Rudower Chaussee 16, Room 2'226
Phone +49 (0)30 2093-6805
Fax +49 (0)30 2093-6848
Postal address Unter den Linden 6, 10099 Berlin, Germany
   

About me

I'm a geographer by training with 30 years of remote sensing expertise. Remote sensing is my passion and profession.

I'm convinced that solving questions related to environmental and global change need both: a stark methodological expertise in remote sensing and geoinformation analysis and a deep understanding of the geographic problem to be solved. I therefore strive to link advanced remote sensing methods (e.g. from machine learning or big data analysis) with land systems analysis. 

 

Curriculum Vitae

since 2018: GEO Expert Advisory Group member

2016-2018: German Committee Future Earth member

since 2013: IRI THESys directorate (2013-2018: acting director)

2012-2017: Global Land Program Scientific Steering Committee member

since 2012: Landsat Science Team member

2007-2015: HU Geography directorate (2008-2011: acting director)

since 2006: Full Professor, HU Berlin

since 2004: EnMAP Scientific Advisory Board member

2002-2011: alta4 Geoinformatics supervisory board member and chairman (2007-2011) 

2002-2006: Assistant Professor, HU Berlin

2001: PhD Remote Sensing, Uni Trier, Germany

1995: MSc Geoinformation Systems, Uni Edinburgh, UK

1994: Diplom geographer, Uni Trier, Germany

 

Publications

 

Full list of publications: https://scholar.google.de/citations?user=zd53fdcAAAAJ&hl=de

 

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. https://doi.org/10.1016/j.rse.2018.07.010

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. https://doi.org/10.1016/j.rse.2018.10.031

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 (Vol. 22, pp. 25-41): Springer International Publishing. https://doi.org/10.1007/978-3-319-15967-6_2

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(Supplement C), 453-468. https://doi.org/10.1016/j.rse.2017.10.009

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. https://doi.org/10.1890/130066

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(0), 154-172. http://dx.doi.org/10.1016/j.rse.2014.02.001

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(9), 11249. https://doi.org/10.3390/rs70911249