Estimating Areal Evaporation from Remote Sensing

Z. Su*, X. Li, Y. Zhou, L. Wan, J. Wen, K. Sintonen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

11 Citations (Scopus)

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.

Original languageEnglish
Title of host publication IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings
Place of PublicationToulouse
PublisherIEEE
Pages1166-1168
Number of pages3
ISBN (Print)0-7803-7929-2
DOIs
Publication statusPublished - Jul 2003
Externally publishedYes
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2003: Learning From Earth's Shapes and Colours - Toulouse, France
Duration: 21 Jul 200325 Jul 2003

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2003
Abbreviated titleIGARSS 2003
CountryFrance
CityToulouse
Period21/07/0325/07/03

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  • Cite this

    Su, Z., Li, X., Zhou, Y., Wan, L., Wen, J., & Sintonen, K. (2003). Estimating Areal Evaporation from Remote Sensing. In IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (pp. 1166-1168). Toulouse: IEEE. https://doi.org/10.1109/IGARSS.2003.1294046