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Using sentinel-1 and sentinel-2 time series for slangbos mapping in the free state province, South Africa

Urban, M.; Schellenberg, K.; Morgenthal, T.; Dubois, C.; Hirner, A.; Gessner, U.; Mogonong, B.; Zhang, Zhenyu 1; Baade, J.; Collett, A.; Schmullius, C.
1 Karlsruher Institut für Technologie (KIT)


Increasing woody cover and overgrazing in semi-arid ecosystems are known to be the major factors driving land degradation. This study focuses on mapping the distribution of the slangbos shrub (Seriphium plumosum) in a test region in the Free State Province of South Africa. The goal of this study is to monitor the slangbos encroachment on cultivated land by synergistically combining Synthetic Aperture Radar (SAR) (Sentinel-1) and optical (Sentinel-2) Earth observation information. Both optical and radar satellite data are sensitive to different vegetation properties and surface scattering or reflection mechanisms caused by the specific sensor characteristics. We used a supervised random forest classification to predict slangbos encroachment for each individual crop year between 2015 and 2020. Training data were derived based on expert knowledge and in situ information from the Department of Agriculture, Land Reform and Rural Development (DALRRD). We found that the Sentinel-1 VH (cross-polarization) and Sentinel-2 SAVI (Soil Adjusted Vegetation Index) time series information have the highest importance for the random forest classifier among all input parameters. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000137456
Veröffentlicht am 28.09.2021
DOI: 10.3390/rs13173342
Zitationen: 8
Web of Science
Zitationen: 8
Zitationen: 9
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2072-4292
KITopen-ID: 1000137456
HGF-Programm 12.11.33 (POF IV, LK 01) Regional Climate and Hydrological Cycle
Erschienen in Remote Sensing
Verlag MDPI
Band 13
Heft 17
Seiten Art.-Nr.: 3342
Nachgewiesen in Web of Science
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