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Validation of Satellite-Retrieved Land SurfaceTemperature (LST) Productsat Gobabeb, Namibia

Göttsche, Frank-Michael ORCID iD icon 1; Cermak, Jan ORCID iD icon 1; Marais, Eugene; Maggs-Kölling, Gillian
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF), Karlsruher Institut für Technologie (KIT)

Abstract:

Global land surface temperature (LST) data derived from satellite-based infrared radiance measurements are highly valuable for various applications in climate research. LST is a fundamental state variable for land surface processes and has long been available from satellite observations in the thermal infrared (TIR). LST is also increasingly important for studies assessing land surface conditions, e.g., studies of urban climate, evapotranspi-ration, and vegetation stress. LST is usually retrieved from satellite-based radiance mea-surements in the infrared (IR) or microwave (MW) range and it is well suited to provide global coverage. Due to the spatial scale mismatch between ground and satellite-based measurements and the heterogeneity of natural land surfaces, the validation of satellite LST data sets is a challenging task. However, in situ validation is essential for obtaining quantitative information on the accuracy of LST satellite products. Permanent, continuous in situ measurements of up- and downwelling TIR radiance allow the analysis of long timeseries of satellite LST observations, which can reveal seasonal cycles and potential deviations; these can originate from surface anisotropy, topography, heterogeneous land cover, or spatial variations in soil moisture. ... mehr


Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1018-7677
KITopen-ID: 1000156114
Erschienen in Journal
Verlag Namibia Wissenschaftliche Gesellschaft
Band 69
Seiten 43-61
Bemerkung zur Veröffentlichung ISBN: 978-99945-76-79-1
Schlagwörter land surface temperature, in situ measurements, satellite retrievals, long-term validation, spatial representativeness
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