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Proceedings Paper

A GIS based remote sensing model for mapping evapotranspiration distribution in a semi-arid mountain region: a case study in Taihang Mountain, North China
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Paper Abstract

The evapotranspiration (ET) is one of the most important components of the water cycle in semi-arid Taihang Mountain region of North China. The spatial distribution and seasonal variation of ET will directly impact the stream flow volume and the amount of lateral recharges to the aquifers of mountain front plain. Due to significant changes in topography, the ET of this semi-arid region tends to vary dramatically both in time and space, which renders the accurate estimation of yearly or seasonal ET a difficult task. In current study, based on rGIS-ET v1.0, a regional ET model, by adding module of adjusting surface temperature in terrain, solar radiance terrain correction, and shaded relief, we improved the rGIS-ET a remote sensing model on ArcGIS platform for mapping ET distribution in such a semi-arid mountain area. With DEM of 30 meter and climate data, we run the model to estimate daily ET in mountain area using Landsat data and MODIS data, respectively. The results of model application shows that model could correct the errors of ET value caused by elevation and terrain significantly while Landsat data was used. While MODIS data was used, the model could not do terrain correction accurately for MODIS has a low spatial resolution, but MODIS data with a high temporal resolution could be used to estimate the temporal variation of ET in a mountain area.

Paper Details

Date Published: 27 September 2006
PDF: 8 pages
Proc. SPIE 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III, 629828 (27 September 2006); doi: 10.1117/12.680873
Show Author Affiliations
Yunqiao Shu, Institute of Genetics and Developmental Biology (China)
Yuping Lei, Institute of Genetics and Developmental Biology (China)
Li Zheng, Institute of Genetics and Developmental Biology (China)
Suying Chen, Institute of Genetics and Developmental Biology (China)
Chunqiang Li, Metrology Institute of Hebei Province (China)

Published in SPIE Proceedings Vol. 6298:
Remote Sensing and Modeling of Ecosystems for Sustainability III
Wei Gao; Susan L. Ustin, Editor(s)

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