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大范围旱情遥感监测的分带计算
引用本文:李红军,李春强,郑力,雷玉平.大范围旱情遥感监测的分带计算[J].遥感技术与应用,2006,21(2):137-141.
作者姓名:李红军  李春强  郑力  雷玉平
作者单位:( 1. 中国科学院遗传与发育生物学研究所农业资源研究中心, 河北 石家庄 050021; 2. 河北省气象科学研究所, 河北 石家庄 050021)
基金项目:中国科学院知识创新工程项目(KZCX3-SW-428,KZCX3-SW-317),“十五”国家科技攻关项目(2004BA509B14)资助
摘    要:遥感技术在旱情监测中得到了广泛应用。针对常用的温度植被旱情指数法, 利用NOAA/AVHRR 数据, 分析了大范围旱情监测中下垫面因纬度、地形等因素造成的空间物候差异, 指出了旱情指数分带计算的必要性。通过分纬度计算, 提高了温度植被旱情指数法中旱边与湿边拟合方程的准确度, 与整体计算方法相比, 温度植被旱情指数与各层土壤相对湿度实测值的相关性均得到明显改善, 提高了大范围旱情遥感监测的准确性。

关 键 词:遥感    温度植被旱情指数  分带计算  旱情遥感监测  
文章编号:1004-0323(2006)02-0137-05
收稿时间:2005-08-17
修稿时间:2006-01-24

Zonal Calculation of Drought Inspection Using Remote Sensing in Large-scale
LI Hong-jun,LI Chun-qiang,ZHENG Li,LEI Yu-ping.Zonal Calculation of Drought Inspection Using Remote Sensing in Large-scale[J].Remote Sensing Technology and Application,2006,21(2):137-141.
Authors:LI Hong-jun  LI Chun-qiang  ZHENG Li  LEI Yu-ping
Affiliation:( 1. Center for Agricultural Resources Institute of Genetics and Development Biology , Chinese Academy of Sciences, Shijiazhuang 050021, China; 2. Metrology Institute of Hebei Province, Shijiazhuang 050021, China)
Abstract:Remote sensing technique has being widely used in drought inspection.Aiming at temperature/vegetation drought index(TVDI)method, using NOAA/AVHRR data,the spatial phenophase difference caused by the latitude,topography of underlying surface in the large-scale drought inspection was reported,which showed the necessity of zonal calculation of drought index.By the calculation in difference latitude,the area of surface temperature-vegetation index space is reduced,which improved the accuracy of equations of drought line and wet line.Comparison of the relationship between temperature/vegetation drought index(TVDI) obtained from the zonal calculation and whole calculation respectively and the measured soil relative humidity of 10cm,20 cm,50 cm showed that,in the zonal calculation,the relativity between temperature/vegetation drought index(TVDI) and the soil relative humidity in different depth was evidently improved,which increased the veracity of drought inspection in large-scale using remote sensing.
Keywords:Remote sensing  Temperature vegetation drought index  Zonal calculation  Drought inspection using remote sensing
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