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Faculty of Mathematics and Natural Sciences - Geomatics

Dr. Sebastian van der Linden

Name
Dr. Sebastian Linden

Status

Senior Scientist, Lecturer

E-Mail

sebastian.linden@geo.hu-berlin.de

Office location

Rudower Chaussee 16, Room 2'225

Phone

+49 (0)30 2093-6872

Fax

+49 (0)30 2093-6848

Postal address

Unter den Linden 6, 10099 Berlin, Germany


About me

My research aims at a better understanding of land surface processes that can be mapped and monitored with optical remote sensing data. Triggered by global (environmental) change the management, composition and state of land cover changes at different intensities through space and time. This includes, for example, shrub encroachment following land abandonment, the gradual expansion of urban areas or their densification in the context of rural-urban migration, or the distribution of vegetation types under climate change. A better understanding of these processes and their underlying drivers and relations requires accurate and repeatable quantitative measures. For more than ten years and through several projects, my team and I have worked on approaches for quantitative mapping of land cover from multi- and hyperspectral data. We use machine learning algorithms and sophisticated learning strategies to achieve more accurate and temporally robust mapping models. Recently, we have started a systematic exploration of spatial-temporal transfer of empirical models. Developments are included into the EnMAP-Box, a python plug-in for QGIS that is developed in our group.

 

Curriculum Vitae

Since 2010

Senior scientist and lecturer at the Geography Department of Humboldt-Universität zu Berlin

  • 2012-2017 Managing Director (part time) of the Integrative Research Institute on Transformations of Human-Environment Systems - IRI THESys
  • Project PI for EnMAP-Box, UrbanEARS or LUMOS projects, contributing to EnMAP Core Science Team
  • Teaching in BSc Geography and MSc Global Change Geography

2008 - 2010

Postdoctoral researcher at the Geography Department of Humboldt-Universität zu Berlin

  • Collaboration CEFLES/Sen2Flux projects
  • EnMAP-Box prototype development

2004 - 2007

Doctoral researcher at the Geography Department of Humboldt-Universität zu Berlin

  • DBU and DAAD doctoral scholarships
  • Visiting scholar at Lamont-Doherty Earth Observatory of Columbia University, New York, 10-12/2006

1996-2002

Studies of Applied Environmental Sciences, University of Trier

  • Majors Remote Sensing and Climatology, Minors Geomathematics and quantitative Hydrology



Selected Publications

Jakimow, B., Griffiths, P., van der Linden, S., Hostert, P. (in press). Mapping pasture management in the Brazilian Amazon from dense Landsat time series. Remote Sensing of Environment, pages pending, doi.org/10.1016/j.rse.2017.10.009.

Small, C., Okujeni, A., van der Linden, S., Waske, B. (2017). Remote Sensing of Urban Environments. Reference Module in Earth Systems and Environmental Sciences. Elsevier, pages pending, doi.org/10.1016/B978-0-12-409548-9.10380-X

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.

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 EnAMP spaceborne imaging spectroscopy mission for earth observation. Remote Sensing, 7, 8830.

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.


For a full publication list and citation metrics see Research Gate, Google Scholar and ResearcherID.