Proceedings Article | 3 November 2008
Proc. SPIE. 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments
KEYWORDS: Landsat, Data modeling, Satellites, Remote sensing, Vegetation, Atmospheric corrections, Meteorology, Heat flux, Algorithm development, Earth observing sensors
To some extent, the estimations of regional evapotranspiration using remotely sensed data could help researchers and
decision makers to analyze regional crop water stress information, to estimate drought extent and water supply situation,
and to make decisions on crop water management, especially for irrigation farming systems. In this paper, the Surface
Energy Balance Algorithm for Land (SEBAL) is applied to retrieve land surface evapotranspiration in Guanzhong Plain
and Weibei Tablelands by using Landsat TM data. After the preprocessing of the remotely sensed data and weather
observation data, some algorithms of inversing the parameters under the SEBAL are developed locally. By using energy
balance equation, latent heat flux during satellite overpass and the integrated daily fluxes in Guanzhong Plain and
Weibei Tablelands are estimated. On the basis of the study area, some locally retrieved land surface parameters are used
as inputs for the SEBAL. Spatial distributions of surface albedo, land surface temperature, as well as various energy
fluxes are drawn. After parameter improvement, statistical analysis indicates that the operating results in Guanzhong
Plain and Weibei Tablelands are simple and reasonable, also shows good application prospect of SEBAL.
