Michael Foerster
Michael Foerster
Verified email at tu-berlin.de
Title
Cited by
Cited by
Year
Carbon footprints of cities and other human settlements in the UK
J Minx, G Baiocchi, T Wiedmann, J Barrett, F Creutzig, K Feng, M Förster, ...
Environmental Research Letters 8 (3), 035039, 2013
2352013
Testing the red edge channel for improving land-use classifications based on high-resolution multi-spectral satellite data
C Schuster, M Förster, B Kleinschmit
International Journal of Remote Sensing 33 (17), 5583-5599, 2012
2272012
Comparison of feature reduction algorithms for classifying tree species with hyperspectral data on three central European test sites
FE Fassnacht, C Neumann, M Förster, H Buddenbaum, A Ghosh, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
1422014
Crop type mapping using spectral–temporal profiles and phenological information
S Foerster, K Kaden, M Foerster, S Itzerott
Computers and Electronics in Agriculture 89, 30-40, 2012
1412012
Remote sensing for mapping natural habitats and their conservation status–New opportunities and challenges
C Corbane, S Lang, K Pipkins, S Alleaume, M Deshayes, VEG Millán, ...
International Journal of Applied Earth Observation and Geoinformation 37, 7-16, 2015
1402015
Grassland habitat mapping by intra-annual time series analysis–Comparison of RapidEye and TerraSAR-X satellite data
C Schuster, T Schmidt, C Conrad, B Kleinschmit, M Förster
International Journal of Applied Earth Observation and Geoinformation 34, 25-34, 2015
1272015
Uncertainty in ecosystem mapping by remote sensing
D Rocchini, GM Foody, H Nagendra, C Ricotta, M Anand, KS He, V Amici, ...
Computers & Geosciences 50, 128-135, 2013
1052013
Estimation of the seasonal leaf area index in an alluvial forest using high-resolution satellite-based vegetation indices
A Tillack, A Clasen, B Kleinschmit, M Förster
Remote Sensing of Environment 141, 52-63, 2014
1002014
Potential of remote sensing to predict species invasions: A modelling perspective
D Rocchini, V Andreo, M Förster, CX Garzon-Lopez, AP Gutierrez, ...
Progress in Physical Geography 39 (3), 283-309, 2015
822015
Approaches to utilising QuickBird data for the monitoring of NATURA 2000 habitats
M Förster, A Frick, H Walentowski, B Kleinschmit
Community Ecology 9 (2), 155-168, 2008
742008
Towards detecting swath events in TerraSAR-X time series to establish NATURA 2000 grassland habitat swath management as monitoring parameter
C Schuster, I Ali, P Lohmann, A Frick, M Förster, B Kleinschmit
Remote Sensing 3 (7), 1308-1322, 2011
492011
Towards detecting swath events in TerraSAR-X time series to establish NATURA 2000 grassland habitat swath management as monitoring parameter
C Schuster, I Ali, P Lohmann, A Frick, M Förster, B Kleinschmit
Remote Sensing 3 (7), 1308-1322, 2011
492011
Managing protected areas under climate change: challenges and priorities
S Rannow, NA Macgregor, J Albrecht, HQP Crick, M Förster, S Heiland, ...
Environmental Management 54 (4), 732-743, 2014
472014
UAV data as alternative to field sampling to map woody invasive species based on combined Sentinel-1 and Sentinel-2 data
T Kattenborn, J Lopatin, M Förster, AC Braun, FE Fassnacht
Remote Sensing of Environment 227, 61-73, 2019
382019
Object based change detection of Central Asian Tugai vegetation with very high spatial resolution satellite imagery
P Gärtner, M Förster, A Kurban, B Kleinschmit
International Journal of Applied Earth Observation and Geoinformation 31 …, 2014
362014
Spectral unmixing of forest crown components at close range, airborne and simulated Sentinel-2 and EnMAP spectral imaging scale
A Clasen, B Somers, K Pipkins, L Tits, K Segl, M Brell, B Kleinschmit, ...
Remote Sensing 7 (11), 15361-15387, 2015
352015
Evaluating an intra-annual time series for grassland classification—how many acquisitions and what seasonal origin are optimal?
T Schmidt, C Schuster, B Kleinschmit, M Förster
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
342014
Object-based classification of QuickBird data using ancillary information for the detection of forest types and NATURA 2000 habitats
M Förster, B Kleinschmit
Object-based image analysis, 275-290, 2008
302008
The benefit of synthetically generated RapidEye and Landsat 8 data fusion time series for riparian forest disturbance monitoring
P Gärtner, M Förster, B Kleinschmit
Remote Sensing of Environment 177, 237-247, 2016
292016
Coupling of phenological information and simulated vegetation index time series: Limitations and potentials for the assessment and monitoring of soil erosion risk
M Möller, H Gerstmann, F Gao, TC Dahms, M Förster
Catena 150, 192-205, 2017
272017
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