植被指数—地表温度特征空间研究及其在旱情监测中的应用
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中科院知识创新工程项目(KZCX3-SW-428);中科院百人计划;河北省节水农业重点实验室开放基金项目(0508021-HBKLA-01);“十五”国家科技攻关项目(2004BA509B14)


Vegetation index-surface temperature feature space and its application in the regional drought monitoring
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    摘要:

    植被指数—地表温度特征空间已被应用于多方面的研究。该文从区域旱情监测的角度分析了该特征空间的生态学内涵,指出地表温度是地表蒸散的函数,推导出了温度蒸散旱情指数(TEDI)的计算方法。利用NOAA数据,以河北省南部平原为研究区域,分别计算出了温度植被旱情指数(TVDI)与温度蒸散旱情指数(TEDI),通过地面实测土壤相对湿度指数(SHI)验证,结果表明温度蒸散旱情指数(TEDI)可以更准确地反映下垫面的土壤墒情状况。

    Abstract:

    By integrated analyses of the vegetation index and surface temperature, more useful information can be acquired. The method of the vegetation index-surface temperature feature space has being widely used in some fields. From the point of view of regional drought monitoring, the ecological connotation of the feature space was analyzed, which indicates that the surface temperature is a function of surface evapotranspiration. The method of temperature evapotranspiration dryness index(TEDI) was derived. Using NOAA data, through the method of temperature vegetation dryness index(TVDI) and temperature evapotranspiration dryness index(TEDI) respectively, the drought status of south plain in Hebei Province was studied. The results were validated by the soil relative humidity index(SHI) measured on the ground at the same time, which shows that the method of temperature evapotranspiration dryness index(TEDI) is more accurate than the method of temperature vegetation dryness index(TVDI) in the monitoring of the status of regional soil water content.

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李红军,郑力,雷玉平,李春强.植被指数—地表温度特征空间研究及其在旱情监测中的应用[J].农业工程学报,2006,22(11):170-174.

Li Hongjun, Zheng Li, Lei Yuping, Li Chunqiang. Vegetation index-surface temperature feature space and its application in the regional drought monitoring[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE),2006,22(11):170-174.

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  • 收稿日期:2006-03-27
  • 最后修改日期:2006-07-17
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