基于植被状态指数的土壤湿度遥感方法研究  

Remote sensing monitoring of soil humidity using vegetation condition index

作　　者：冯强[1] 田国良[2] 王昂生[1] Tim R.McVicar David L.B.Jupp 

机构地区：[1]中国科学院减灾中心,北京100029 [2]中国科学院遥感应用研究所遥感信息科学开放实验室,北京100101 [3]澳大利亚国家对地观测中心

出　　处：《自然灾害学报》2004年第3期81-88,共8页Journal of Natural Disasters

基　　金：国家重点基础研究发展规划项目(G20000779);世界银行-财政部"中国防灾减灾分析与对策"项目

摘　　要：利用1981-1994年连续504旬的NOAAAVHRR8km分辨率的NDVI时间系列数据,以及对应时段全国102个固定农气观测站(-20cm深度)的旬土壤湿度资料,建立了植被状态指数IVC与土壤湿度之间的统计模型,由旬IVC值来换算出每旬的土壤湿度,用以反映全国的逐旬土壤水分分布。对模型进行的统计检验表明,模型都通过了置信度为α=0.05的统计检验。试验结果表明,这种方法在作物生长期内可应用于全国大范围的土壤湿度遥感监测,简便易行。Based on the time series data of NDVI computed from the reflectance of CH1 and CH2 of NOAA AVHRR data, the soil moisture data and the corresponding data of the field maximum moisture capacity (soil depth:(-20cm))of 102 standard meteorological stations in China for every ten days during 1981 to1994, the statistics models between vegetation condition index(VCI) and soil humidity index(SHI) have been formulated. SHI can easily be derived from VCI through the models. So it is now convenient and practical to monitoring the farmland soil humidity in China in every ten days by remote sensing. The models have passed the statistics test at the confidence level α=0.05,and the experimental results reveal that this kind of method of soil humidity monitoring is worth encouraging.

关 键 词：NDVI 植被状态指数 土壤湿度指数 遥感监测 

分 类 号：S15[农业科学—土壤学]