Determination of regional distribution of crop transpiration and soil water use efficiency using quantitative remote sensing data through inversion  

作　　者：张仁华 孙晓敏 刘纪远 苏红波 唐新斋 朱治林 

机构地区：[1]Institute of Geographical Sciences and Natural Resources, Chinese Academy of Sciences

出　　处：《Science China Earth Sciences》2003年第1期10-22,共14页中国科学（地球科学英文版）

基　　金：This work was supported by the Key Project of the National Natural Science Foundation of China(Grant No.49890330);the National Basic Research Project(Grant No.2000077900);the Research Institute of Sciences and Natural Resources,the ChineseAcademy of Sciences(Grant Nos.CXIOG-C00-05-02 and CXIOG-E01-01,04).

摘　　要：A two-layer model used to get the estimated values of crop transpiration by inversion using remote sensing data, which has been proved effective at some agricultural-ecological sta-tions, is first discussed. An important part of it is the temperature separation model (in which thesurface temperature in a mixed pixel is separated into soil surface temperature and crop canopysurface temperature) on the basis of bi-temporal radiometric temperature in a mixed pixel and its thermal inertia. To improve the inversion, the authors put forward some new algorithms, including an algorithm for the estimation of regional emissivities, a static feedback algorithm using surfacetemperature for the extension of air temperature at ecological stations to the region surroundingthem and a spatial extension algorithm for calculating the wind speed 2 m above the ground withsurface roughness and radiometric temperature. Finally, regional distributions of crop transpiration (CT) and soil water use efficiency (SWUE) in North China were calculated pixel by pixel usingNOAA-AVHRR data and surface measurements and calibrations. The results provide a way toassess the effects of various agricultural practices on SWUE by using remote sensing data inNorth China in spring.A two-layer model used to get the estimated values of crop transpiration by inversion using remote sensing data, which has been proved effective at some agricultural-ecological sta-tions, is first discussed. An important part of it is the temperature separation model (in which thesurface temperature in a mixed pixel is separated into soil surface temperature and crop canopysurface temperature) on the basis of bi-temporal radiometric temperature in a mixed pixel and its thermal inertia. To improve the inversion, the authors put forward some new algorithms, including an algorithm for the estimation of regional emissivities, a static feedback algorithm using surfacetemperature for the extension of air temperature at ecological stations to the region surroundingthem and a spatial extension algorithm for calculating the wind speed 2 m above the ground withsurface roughness and radiometric temperature. Finally, regional distributions of crop transpiration (CT) and soil water use efficiency (SWUE) in North China were calculated pixel by pixel usingNOAA-AVHRR data and surface measurements and calibrations. The results provide a way toassess the effects of various agricultural practices on SWUE by using remote sensing data inNorth China in spring.

关 键 词：QUANTITATIVE remote sensing  CROP transpiration  soil water use efficiency (SWUE). 

分 类 号：X144[环境科学与工程—环境科学]