DocumentCode :
3595583
Title :
Estimating areal evaporation from remote sensing
Author :
Su, Z. ; Li, X. ; Zhou, Y. ; Wan, L. ; Wen, J. ; Sintonen, K.
Author_Institution :
Wageningen Univ. & Res. Center, ALTERRA Green World Res., Wageningen, Netherlands
Volume :
2
fYear :
2003
Firstpage :
1166
Abstract :
This paper introduces the surface energy balance system (SEBS) and its application for spatial-temporal estimation of actual evaporation using remote sensing data. Two case studies are presented, one for a large inland basin, the Urumqi River Basin, in Northwest China and the other for the whole Netherlands. After the presentation of the theory and processing procedures, NOAA/AVHRR scenes are used to derive land surface parameters as the inputs of SEBS. The HANTS (harmonic analysis of time series) algorithm is then used for reconstructing regional and temporal monthly and annual evaporation over the study areas. Time series of evaporative fraction and actual evaporation are successfully reconstructed for the two study areas and the estimated values are verified with the in-situ data. The results of this study demonstrate that SEBS algorithm can be used for spatial-temporal estimation of actual evaporation with an acceptable accuracy.
Keywords :
evaporation; hydrological techniques; hydrology; remote sensing; HANTS algorithm; NOAA/AVHRR scenes; Netherlands; Northwest China; Urumqi River Basin; evaporation estimation; evaporative fraction; harmonic analysis of time series; inland basin; land surface parameter derivation; remote sensing; spatial-temporal estimation; surface energy balance system; Atmospheric measurements; Land surface; Land surface temperature; Meteorology; Remote monitoring; Remote sensing; Rough surfaces; Surface reconstruction; Surface roughness; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
Type :
conf
DOI :
10.1109/IGARSS.2003.1294046
Filename :
1294046
Link To Document :
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