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REMOTE SENSING FOR LAND & RESOURCES    2013, Vol. 25 Issue (3) : 14-19     DOI: 10.6046/gtzyyg.2013.03.03
Technology and Methodology |
A new method for retrieving estimation of regional evapotranspiration based on radiation use efficiency: A case study of maize
SU Tao, FENG Shaoyuan, XU Ying
College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, China
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Abstract  

With Jiefang gate irrigation area of Hetao region in Inner Mongolia as the research district, and the biomass, the soil water and the relation equation between them in the measured values as the research foundation, the authors set up a regional evapotranspiration retrieving model based on the Radiation Use Efficiency (RUE). The SEBAL(surface energy balance algorithm for land) model was taken as the referenced model to make a comparative analysis between the regional evapotranspirations in the same period. The results showed that the spatial distributions of evapotranspiration estimated by using the RUE method and the SEBAL model were similar in spatial distribution and texture features, and there only existed insigficant differences between the calculated results of the two models. The correlation coefficient between the RUE method and the SEBAL model was remarkably improved in comparison with that of the DSSAT(decision support system for agrotechnology transfer) method and the SEBAL model. It is also proved that the regional evapotranspiration can be better retrieved by the RUE method, with the retrieving accuracy obviously higher than that of the DSSAT method, and hence this method is a new and effective method for monitoring regional evapotranspiration.

Keywords DSM construction      building detect      extraction of building edge      regulation of building edge     
:  S 152.7  
  TP 79  
Issue Date: 03 July 2013
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LI Qian
XIAO Chunlei
CHEN Jie
YANG Dachang
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LI Qian,XIAO Chunlei,CHEN Jie, et al. A new method for retrieving estimation of regional evapotranspiration based on radiation use efficiency: A case study of maize[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(3): 14-19.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2013.03.03     OR     https://www.gtzyyg.com/EN/Y2013/V25/I3/14

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