Evapotranspiration estimation in the Yellow River Basin, China using integrated NDVI data

被引：19

作者：

Sun, R ^{[1
]}

Gao, X

Liu, CM

Li, XW

机构：

[1] Beijing Normal Univ, Dept Geog, Ctr Remote Sensing & GIS Res, Beijing 100875, Peoples R China

[2] Ctr Ocean Land Atmosphere Studies, Beltsville, MD 20705 USA

[3] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China

来源：

INTERNATIONAL JOURNAL OF REMOTE SENSING | 2004年 / 25卷 / 13期

关键词：

D O I：

10.1080/0143116032000160471

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

It is important to estimate land surface evapotranspiration ( ET) for water resources evaluation, drought monitoring and crop production simulation. In this paper, a relationship between annual ET, integrated Advanced Very High Resolution Radiometer (AVHRR) Normalized Difference Vegetation Index (NDVI) and Relative Moisture Index (RMI) was established. Based on this relationship, the spatial distribution and dynamic change of annual ET were estimated for the Yellow River Basin, China from 1982 to 2000. Our analyses involved the use of integrated NDVI data, monthly mean air temperature, and precipitation. Our results showed that the integrated AVHRR NDVI can be used to effectively estimate annual ET in the Yellow River Basin, with an accuracy over 90% for the whole basin.

引用

页码：2523 / 2534

页数：12

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