Technology Application |
|
|
|
|
|
REGIONAL EVAPOTRANSPIRATION ESTIMATION IN HEBEI PLAIN BASED ON REMOTE SENSING |
LIN Wen-jing 1, DONG Hua 1, WANG Gui-ling 1, Z. Su 2 |
1. Institute of Hydrogeology and Environmental Geology, Shijiazhuang 050061, China;2. International Institute for Geo-Information Science and Earth Observation, Enschede 7500AA, the Netherlands |
|
|
Abstract The Surface Energy Balance System (SEBS) model was developed to estimate land surface fluxes using remote sensing data and available meteorological observations. Its most important advantage lies in its inclusion of a physical model for the estimation of the roughness height for heat transfer which is the most critical parameter in the parameterization of the heat fluxes of land surface. In this paper, SEBS was utilized to estimate the surface fluxes over Hebei plain in North China by using MODIS|TERRA images, in combination of meteorological data collected in meteorological stations distributed over the study area. The estimated daily evapotranspiration by SEBS are first compared with measurements by a large weighing lysimeter in Luancheng Agro-Ecosystem Station (LAES) located near Shijiazhuang City. Comparison shows that the estimated evapotranspiration from SEBS has a good agreement with the ground real data. Based on the validation of the model, this paper has analyzed the spatial distribution of actual evapotranspiration in combination of the up-to-date land cover map in Hebei plain.
|
Keywords
Artificial neural network
Remote sensing
|
|
Issue Date: 13 July 2009
|
|
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|