KIT | KIT-Bibliothek | Impressum | Datenschutz

Retrieving Soil and Vegetation Temperatures From Dual-Angle and Multipixel Satellite Observations

Bian, Zunjian; Li, Hua; Gottsche, Frank M.; Li, Ruibo; Du, Yongming; Ren, Huazhong; Cao, Biao; Xiao, Qing; Liu, Qinhuo

Land surface component temperatures (LSCTs), i.e., the temperatures of soil and vegetation, are important parameters in many applications, such as estimating evapotranspiration and monitoring droughts. However, the multiangle algorithm is affected due to different spatial resolution between nadir and oblique views. Therefore, we propose a combined retrieval algorithm that uses dual-angle and multipixel observations together. The sea and land surface temperature radiometer onboard ESA's Sentinel-3 satellite allows for quasi-synchronous dual-angle observations, from which LSCTs can be retrieved using dual-angle and multipixel algorithms. The better performance of the combined algorithm is demonstrated using a sensitivity analysis based on a synthetic dataset. The spatial errors in the oblique view due to different spatial resolution can reach 4.5 K and have a large effect on the multiangle algorithm. The introduction of multipixel information in a window can reduce the effect of such spatial errors, and the retrieval results of LSCTs can be further improved by using multiangle information for a pixel. In the validation, the proposed combined algorithm performed better, with LSCT root mean squared errors of 3.09 K and 1.91 K for soil and vegetation at a grass site, respectively, and corresponding values of 3.71 K and 3.42 K at a sparse forest site, respectively. ... mehr

Open Access Logo

Verlagsausgabe §
DOI: 10.5445/IR/1000124178
Veröffentlicht am 05.10.2020
DOI: 10.1109/JSTARS.2020.3024190
Zitationen: 3
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1939-1404, 2151-1535
KITopen-ID: 1000124178
HGF-Programm 12.01.01 (POF III, LK 01) Clouds in a pertubed atmosphere
Erschienen in IEEE journal of selected topics in applied earth observations and remote sensing
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Band 13
Seiten 5536–5549
Vorab online veröffentlicht am 15.09.2020
Nachgewiesen in Dimensions
Web of Science
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page