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[1]DONG Guotao,WANG Mingcheng,BAI Juan,et al.Estimation of Daily Evapotranspiration Based on Remote Sensing Data in Jinghe Basin[J].Research of Soil and Water Conservation,2015,22(02):101-106,112.

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Estimation of Daily Evapotranspiration Based on Remote Sensing Data in Jinghe Basin

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 22 Number of periods: 2015 02 Page number: 101-106,112 Column: Public date: 2015-04-28

Title:: Estimation of Daily Evapotranspiration Based on Remote Sensing Data in Jinghe Basin

Author(s):: DONG Guotao¹, WANG Mingcheng², BAI Juan³, JIANG Xiaohui¹, HE Hongmou¹, DANG Suzhen¹, WANG Huaru⁴; 1. Yellow River Institute of Hydraulic Research, YRCC, Zhengzhou 450003, China;
2. Centre for Mountain Ecosystems Studies, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China;
3. College of Urban and Environmental Science, Shanxi Normal University, Linfen, Shanxi 041000, China;
4. Yellow River Water Resources Protection Institute, Zhengzhou 450003, China

Keywords:: evapotranspiration; remote sensing; regional ET model; Jinghe basin

CLC:: P426.2

DOI:: -

Abstract:: Evapotranspiration (ET) is a key process in the global water and energy cycle. It is convenient to estimate the spatiotemporal variation of ET using remote sensing techniques. The regional ET model driven by remote sensing was built by coupling the conventional ET model with remote sensing data. Daily ET was estimated from March to October of 2006 in the Jinghe basin. The estimation was validated with LAS data. The results showed that: 1) the estimation using the P-T method based on remote sensing met the observations well; 2) spatial distribution patterns indicated that ET was higher in lower latitudes and mountainous areas than in higher latitudes and plains, and ET of forest ranked the highest among other land cover types; 3) ET presented a unimodal distribution and peaked in July and August; 4) strong correlations were found between monthly ET and the monthly average temperature, monthly precipitation, and vegetation index, the correlation coefficients were 0.8, 0.5 and 0.7, respectively. Temperature, precipitation and vegetation index were the major factors affecting the daily ET in Jinghe basin.

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