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《Arid Land Geography》 2004-01
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Analyses and Practice on Monitoring the Growth of Large-area Cotton with MODIS Data

LV Jian-hai1, CHEN Xi1, WANG Xiao-ping2, BAO An-ming1 (1 Xinjiang Institute of Ecology and Geography,Chinese Academy of Science,Urumqi 830011,China; 2 Adminstrative Bureau of Tarim River Basin, Korla 841000, China)  
To monitor growing crops in a large scale is a complicated problem and a satisfied method to know what the way a crop is growing has been sought by the scientists in the field. Remote Sensing was used to monitor growing cottons with NOAA-AVHRR data usually. However, with the development of the sensor, NOAA-AVHRR was replaced by MODIS (Moderate-resolution Imaging Spectroradiometer). In this paper, the researched subject is the cotton planted on the northern slope of Tianshan Mountains. A new method to monitor growing cottons was experimented with modern spatial technology, which integrated MODIS data (2002) and the observation of agronomic parameters of crop growth in order to obtain more exact results. The intergraded method were used to analyze the patterns of normalized vegetation index(NDVI) and leaf area index(LAI)for cotton from planting to harvest,which proved that the MODIS LAI was consistent with the measured LAI, and the variety of MODIS LAI was consistent with the variety of the growth of cotton. It showed that cotton growth monitoring using intergraded method is practical, which should be extensively applied in arid land in the Northwest China.
【Fund】: 国家 8 63计划专项 ( 2 0 0 3AA2 0 90 91);; 中国科学院知识创新项目 (K2CX2 -4 0 4-4 )
【CateGory Index】: S562
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