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Mapping Changes in Fractional Vegetation Cover on the Namib Gravel Plains with Satellite-Retrieved Land Surface Emissivity Data

Obrecht, Laura 1,2; Göttsche, Frank-Michael ORCID iD icon 3; Senn, Johannes Antenor ORCID iD icon 1; Cermak, Jan ORCID iD icon 3,4
1 Institut für Geographie und Geoökologie (IFGG), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)
3 Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF), Karlsruher Institut für Technologie (KIT)
4 Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)

Abstract:

Monitoring changes in vegetation cover over time is crucial for understanding the spatial distribution of rainfall, as well as the dynamics of plants and animals in the Namib desert. Traditional vegetation indices have limitations in capturing changes in vegetation cover within water-limited ecosystems like the Namib gravel plains. Spectral emissivity derived from thermal infrared remote sensing has recently emerged as a promising tool for distinguishing between bare ground and non-green vegetation in arid environments. This study investigates the potential of satellite-derived emissivities for mapping changes in fractional vegetation cover across the Namib gravel plains. Analyzing Moderate Resolution Imaging Spectroradiometer (MODIS) band 29 (λ = 8.55 µm) emissivity time series from 2001 to 2021, our findings demonstrate the ability of both Normalized Difference Vegetation Index (NDVI) and emissivity to detect sudden vegetation growth on the gravel plains. Emissivity additionally allows monitoring the extent of desiccated grass over several years after a rainfall event. Our results support a relationship between the change in fractional vegetation cover, the amount of rainfall and emissivity change magnitude. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000166098
Veröffentlicht am 02.01.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Institut für Geographie und Geoökologie (IFGG)
Institut für Photogrammetrie und Fernerkundung (IPF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2024
Sprache Englisch
Identifikator ISSN: 2072-4292
KITopen-ID: 1000166098
HGF-Programm 12.11.26 (POF IV, LK 01) Aerosol-Cloud-Climate-Interaction
Weitere HGF-Programme 12.11.31 (POF IV, LK 01) New observational systems and cross platform integration
Erschienen in Remote Sensing
Verlag MDPI
Band 16
Heft 1
Seiten Art.-Nr.: 159
Vorab online veröffentlicht am 30.12.2023
Schlagwörter land surface emissivity; thermal remote sensing; MOD21 product; Namib; gravel plains; fractional vegetation cover; NDVI
Nachgewiesen in Dimensions
Web of Science
Scopus
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