JOURNAL OF NATURAL RESOURCES >
The Regional Evapotranspiration Estimation Using A Two-layer Model Based on Quantitative Remote Sensing in Shahe River Basin
Received date: 2011-12-30
Revised date: 2012-06-11
Online published: 2013-01-19
Based on the TM/ETM+ data and relevant meteorological data for typical days in different seasons during 1999-2007 in Shahe River Basin, we developed the land-surface evapotranspiration (ET) remote sensing retrieval system to estimate the daily ET in Shahe River Basin. The system is based on the two-layer ET model of quantitative remote sensing, which includes three parts: inversion of the evaporation ration using two-layer model, calculation of total daily net radiation, and estimation of daily ET based on evaporation fraction method. The results show that the average daily ET of the typical days is about 2.28 mm in spring, 2.97 mm in summer, 1.59 mm in autumn, and 0.5 mm in winter. The ET of upstream areas covered by forest is higher than that of the downstream plain covered by settlements and farmland. In summer the difference of ET between the upper reaches and lower reaches is smaller compared to the other three seasons. Using the large aperture scintillometer and eddy correlation instrument, Jia, Xu, et al. got some observed values of ET in the Shahe River Basin. By comparing the observed data with the estimated data, we found the estimation system had a high precision with the relative error between 0 and 16% (mean error of 11.1%), and the variance of 0.77 mm.
ZHAN Che-sheng, YIN Jian, WANG Hui-xiao, CHEN Shao-hui . The Regional Evapotranspiration Estimation Using A Two-layer Model Based on Quantitative Remote Sensing in Shahe River Basin[J]. JOURNAL OF NATURAL RESOURCES, 2013 , 28(1) : 161 -170 . DOI: 10.11849/zrzyxb.2013.01.016
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