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[1]DU Jia,ZHANG Bai,SONG Kai-shan,et al.Estimated Evapotranspiration Based on NOAA/AVHRR Data in the Sanjiang Plain[J].Research of Soil and Water Conservation,2009,16(02):56-62.

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Estimated Evapotranspiration Based on NOAA/AVHRR Data in the Sanjiang Plain

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 16 Number of periods: 2009 02 Page number: 56-62 Column: Public date: 2009-04-20

Title:: Estimated Evapotranspiration Based on NOAA/AVHRR Data in the Sanjiang Plain

Author(s):: DU Jia^1,2, ZHANG Bai¹, SONG Kai-shan¹, WANG Zong-ming¹, ZENG Li-hong^1,2, JIN Cui^1,2, HUANG Ni^1,2; 1. Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Science, Changchun, 130012, China;
2. Graduate University of Chinese Academy of Science, Beijing, 100049, China

Keywords:: NOAA/AVHRR data; evapotranspiration; Sanjiang Plain; SEBS

CLC:: P426.2

DOI:: -

Abstract:: Evapotranspiration(ET) is one of the most significant component of the hydrologic cycle.Among the several ET estimation methods,the remote sensing method is regarded as the only technology that can efficiently and economically provide regional and global coverage of actual consumption.The SEBS(Surface Energy Balance System) has been designed to calculate the energy portioning at the regional scale with minimum ground data and has been verified at many places in the world including China.SEBS is a satellite image-processing model for computing ET maps for large areas.This paper used the SEBS method to estimate ET according to NOAA AVHRR data in the Sanjiang Plain in Heilongjiang province of China.The resuilt was validated by observed data.Resuilts showed that evapotranspiration increased in April,decreased in August and reached the peak in July.The reason of temporal distribution was also anlyzed.Meanwhile the spatial distribution of ET was anlyzed by the land-use pattern.The average ET of these land-use patterns during growing season were in the order of forest,waters,wetland,paddy,dry land,grassland,resident and industry land from big to small.

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