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非均匀陆面条件下区域蒸散量计算的遥感模型
引用本文:陈云浩,李晓兵,史培军.非均匀陆面条件下区域蒸散量计算的遥感模型[J].气象学报,2002,60(4):508-512.
作者姓名:陈云浩  李晓兵  史培军
作者单位:北京师范大学资源科学研究所,教育部环境演变与自然灾害重点实验室,北京,100875
基金项目:国家重点基础研究发展规划项目 (G2 0 0 0 0 1860 4),国家自然科学基金项目 ( 3 0 0 0 0 0 2 7)
摘    要:非均匀陆面条件下的区域蒸散计算是一个复杂的问题。文中首先在利用遥感资料求取地表特征参数 (如植被覆盖度、地表反照率等 )的基础上 ,建立了裸露地表条件下的裸土蒸发和全植被覆盖条件下植被蒸腾计算模型 ,然后结合植被覆盖度 (植被的垂直投影面积与单位面积之比 )给出非均匀陆面条件下的区域蒸散计算方法。实测资料验算表明该模型具有较高的计算精度。文章最后利用该模型对中国北方地区的蒸散量进行了计算 ,并对该研究区蒸散的特点进行了分析

关 键 词:非均匀陆面条件  区域蒸散  遥感模型  植被覆盖度
收稿时间:2000/12/18 0:00:00
修稿时间:2000年12月18

THE REMOTE SENSING MODEL FOR REGIONAL EVAPOTRANSPIRATION ESTIMATION OVER HETEROGENEOUS LANDSCAPE
Chen Yunhao,Li Xiaobing and Shi Peijun.THE REMOTE SENSING MODEL FOR REGIONAL EVAPOTRANSPIRATION ESTIMATION OVER HETEROGENEOUS LANDSCAPE[J].Acta Meteorologica Sinica,2002,60(4):508-512.
Authors:Chen Yunhao  Li Xiaobing and Shi Peijun
Affiliation:Institute of Resources Science, Beijing Normal University, Key Laboratory of Environmental Change and Natural Disaster, Ministry of State Education of China, Beijing 100875;Institute of Resources Science, Beijing Normal University, Key Laboratory of Environmental Change and Natural Disaster, Ministry of State Education of China, Beijing 100875;Institute of Resources Science, Beijing Normal University, Key Laboratory of Environmental Change and Natural Disaster, Ministry of State Education of China, Beijing 100875
Abstract:It is a very complicated problem to estimate evapotranspiration over natural land surface. In this paper ,the evapotranspiration estimation models for dense vegetation and bare soil are presented based on the information of surface parameters firstly:These models are based on information from surface properties like land cover and surface albedo. Then by use of vegetation fraction(the ratio of vegetation projective area to unit area), the regional evapotranspiration estimation model over the heterogeneous landscape is proposed. As a result of case study over North China, it shows that the accuracy of evapotranspiration estimation is higher and the features of evapotranspiration over North China are discussed.The validation shows that this model provides good estimation of daily regional ET.
Keywords:Heterogeneous landscape  Regional evapotranspiration  Remote sensing model  Vegetation fraction  
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