Implementation of SEBAL algorithm with Landsat Thematic Mapper 5 in lower Colorado River Basin

Xiaofang Wei, Subramania I. Sritharan, Ramani Kandiah, John Osterberg, Christopher Neale, Keith Farrow, John Davenport

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper presents the implementation and validation of the Surface Energy Balance Algorithm for Land (SEBAL) using Landsat Thematic Mapper5 (TM5). SEBAL, an image-based algorithm, was implemented in ERDAS IMAGINE 10.0 to calculate the daily evapotranspiration (ET) for the Lower Colorado Basin. Slope correction was taken into consideration by computing the solar declination, equation of time, hour angle, and instantaneous angle of incidence of beam radiation on sloping surfaces, which is critical for the subsequent computation of surface albedo, net radiation, and instantaneous evapotranspiration calculation. A sequence of ET images were computed for the years of 2007 and 2008, and validated with ground California Irrigation Management Information System (CIMIS) weather and ground eddy covariance tower data. This paper demonstrates that SEBAL is a robust tool for mapping and monitoring the ET rates in riparian area.

Original languageEnglish (US)
Title of host publicationRemote Sensing and Hydrology
Pages98-101
Number of pages4
StatePublished - 2012
Externally publishedYes
EventRemote Sensing and Hydrology Symposium - Jackson Hole, WY, United States
Duration: Sep 27 2010Sep 30 2010

Publication series

NameIAHS-AISH Publication
Volume352
ISSN (Print)0144-7815

Conference

ConferenceRemote Sensing and Hydrology Symposium
Country/TerritoryUnited States
CityJackson Hole, WY
Period9/27/109/30/10

Keywords

  • Evapotranspiration
  • Landsat TM imagery
  • SEBAL

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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