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

Yunqiao Shu; Yuping Lei; Li Zheng; Suying Chen; Chunqiang Li

doi:10.1117/12.680873

27 September 2006 A GIS-based remote sensing model for mapping evapotranspiration distribution in a semi-arid mountain region: a case study in Taihang Mountain, North China

Yunqiao Shu, Yuping Lei, Li Zheng, Suying Chen, Chunqiang Li

Author Affiliations +

Proceedings Volume 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III; 629828 (2006) https://doi.org/10.1117/12.680873
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

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.

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Yunqiao Shu, Yuping Lei, Li Zheng, Suying Chen, and Chunqiang Li "A GIS-based remote sensing model for mapping evapotranspiration distribution in a semi-arid mountain region: a case study in Taihang Mountain, North China", Proc. SPIE 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III, 629828 (27 September 2006); https://doi.org/10.1117/12.680873

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KEYWORDS

Data modeling

MODIS

Earth observing sensors

Landsat

Solar radiation

Heat flux

Remote sensing

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