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Verlagsausgabe
DOI: 10.5445/IR/1000091717
Veröffentlicht am 27.02.2019
Originalveröffentlichung
DOI: 10.3390/rs11050479

Comprehensive In Situ Validation of Five Satellite Land Surface Temperature Data Sets over Multiple Stations and Years

Martin, Maria; Ghent, Darren; Pires, Ana; Göttsche, Frank-Michael; Cermak, Jan; Remedios, John

Abstract:
Global land surface temperature (LST) data derived from satellite-based infrared radiance measurements are highly valuable for various applications in climate research. While in situ validation of satellite LST data sets is a challenging task, it is needed to obtain quantitative information on their accuracy. In the standardised approach to multi-sensor validation presented here for the first time, LST data sets obtained with state-of-the-art retrieval algorithms from several sensors (AATSR, GOES, MODIS, and SEVIRI) are matched spatially and temporally with multiple years of in situ data from globally distributed stations representing various land cover types in a consistent manner. Commonality of treatment is essential for the approach: all satellite data sets are projected to the same spatial grid, and transformed into a common harmonized format, thereby allowing comparison with in situ data to be undertaken with the same methodology and data processing. The large data base of standardised satellite LST provided by the European Space Agency’s GlobTemperature project makes previously difficult to perform LST studies and application ... mehr


Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Institut für Photogrammetrie und Fernerkundung (IPF)
Publikationstyp Zeitschriftenaufsatz
Jahr 2019
Sprache Englisch
Identifikator ISSN: 2072-4292
URN: urn:nbn:de:swb:90-917175
KITopen-ID: 1000091717
HGF-Programm 12.01.01 (POF III, LK 01)
Erschienen in Remote sensing
Band 11
Heft 5
Seiten Article No.479
Vorab online veröffentlicht am 26.02.2019
Schlagworte land surface temperature; in situ measurements; validation; spatial representativeness; standardised approach; AATSR; GOES; MODIS; SEVIRI; SURFRAD sites; KIT sites; multi-annual validation
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