Academic Journal

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

التفاصيل البيبلوغرافية
العنوان: Mapping Changes in Fractional Vegetation Cover on the Namib Gravel Plains with Satellite-Retrieved Land Surface Emissivity Data
المؤلفون: Obrecht, Laura, Göttsche, Frank-Michael, Senn, Johannes Antenor, Cermak, Jan
المصدر: Remote Sensing, 16 (1), Art.-Nr.: 159 ; ISSN: 2072-4292
بيانات النشر: MDPI
سنة النشر: 2024
المجموعة: KITopen (Karlsruhe Institute of Technologie)
مصطلحات موضوعية: land surface emissivity, thermal remote sensing, MOD21 product, Namib, gravel plains, fractional vegetation cover, NDVI, ddc:910, Geography & travel, info:eu-repo/classification/ddc/910
الوصف: 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. Information from NDVI and emissivity therefore provide complementary information for assessing vegetation in arid environments.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
Relation: info:eu-repo/semantics/altIdentifier/wos/001140369900001; info:eu-repo/semantics/altIdentifier/issn/2072-4292; https://publikationen.bibliothek.kit.edu/1000166098; https://publikationen.bibliothek.kit.edu/1000166098/151948239; https://doi.org/10.5445/IR/1000166098
DOI: 10.5445/IR/1000166098
الاتاحة: https://publikationen.bibliothek.kit.edu/1000166098
https://publikationen.bibliothek.kit.edu/1000166098/151948239
https://doi.org/10.5445/IR/1000166098
Rights: https://creativecommons.org/licenses/by/4.0/deed.de ; info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.381F3283
قاعدة البيانات: BASE