DocumentCode :
2903211
Title :
Retrieval of District Evapotranspiration Using Remotely Sensed Biomass Products
Author :
Su, Tao ; Wang, Peng-Xin
Author_Institution :
Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing, China
Volume :
3
fYear :
2009
fDate :
4-5 July 2009
Firstpage :
466
Lastpage :
469
Abstract :
An approach of retrieving district evapotranspiration was studied by using remotely sensed biomass products in the Junchuan Farm of the Northeast of China. Based on the crop management practices of the Junchuan Farm, key soil and crop canopy parameters were applied to develop a biomass model for retrieving district evapotranspiration. Using the mass of dry matter on ground, apportionment coefficient and the corresponding experience expressions deduce the computing model of daily evapotranspiration. The surface energy balance algorithm for land (SEBAL) model is a near real time evapotranspiration monitoring approach. This article uses SEBAL as a referenced model to explain the possibility of using the model of biomass to monitor district evapotranspiration. The results show that the spatial distributions of the retrieved results for these two models are similar. These results indicate the model of biomass is a feasible approach for monitoring district evapotranspiration.
Keywords :
crops; evaporation; hydrological techniques; transpiration; China; Junchuan Farm; SEBAL model; crop canopy parameters; crop management practices; district evapotranspiration monitoring; dry matter mass; remotely sensed biomass products; soil parameters; spatial distribution; surface energy balance algorithm for land model; Biomass; Crops; Educational institutions; Electrical engineering; Hydrology; Information retrieval; Remote monitoring; Remote sensing; Soil; Temperature; SEBAL; TM; biomass; evapotranspiration; retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
Type :
conf
DOI :
10.1109/ESIAT.2009.456
Filename :
5199732
Link To Document :
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