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全国农作物叶面积指数遥感估算方法
引用本文:蒙继华,吴炳方,李强子.全国农作物叶面积指数遥感估算方法[J].农业工程学报,2007,23(2):160-167.
作者姓名:蒙继华  吴炳方  李强子
作者单位:中国科学院遥感应用研究所,北京,100101
基金项目:国家高技术研究发展计划(863计划);中国科学院知识创新工程项目;遥感应用示范工程总体技术研究项目
摘    要:目前对农作物叶面积指数LAI的遥感估算研究多是针对单一作物或是作物种植结构单一的区域,该文运用大尺度农作物叶面积指数的遥感估算方法,在像元尺度上对4个代表性实验站的LAI与归一化植被指数(NDVI)的相互关系进行了回归分析后,得到4种代表性作物种植结构的LAI估算模型,然后结合全国农作物种植结构数据对模型外推,建立了一个全国尺度的遥感模型,并估算了全国作物LAI。该文使用“863”项目山东遥感应用综合试验中的作物LAI观测数据进行了验证,结果表明该模型较其它估算模型达到了较高的精度,最大相对误差为39%,平均的相对误差为19%。该模型的计算结果已经在“中国农情遥感速报”系统中得到了广泛的应用。

关 键 词:遥感  作物  叶面积指数  遥感模型  归一化植被指数  估算
文章编号:1002-6819(2007)2-0160-08
收稿时间:3/1/2006 12:00:00 AM
修稿时间:2006-03-01

Method for estimating crop leaf area index of China using remote sensing
Meng Jihu,Wu Bingfang and Li Qiangzi.Method for estimating crop leaf area index of China using remote sensing[J].Transactions of the Chinese Society of Agricultural Engineering,2007,23(2):160-167.
Authors:Meng Jihu  Wu Bingfang and Li Qiangzi
Institution:Institute of Remote Sensing Applications, Center of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;Institute of Remote Sensing Applications, Center of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;Institute of Remote Sensing Applications, Center of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China
Abstract:The recent researches on estimating crop leaf area index(LAI) with remote sensing were mostly concerned about only single type of crop or a region whose crop planting structure is simple. The large scale crop LAI estimating method was used in the research. After analyzing the relationship between observed LAI and NDVI in four representative observing areas in China, LAI estimating models for four representative crop planting structures were built. Country-scale crop LAI estimating model of China was derived for the first time by extrapolating the four models with zonal data of China for different crop planting structures. The crop LAI of China was computed with the model and the result was validated with the observed crop LAI data obtained in 863's integrated experiment for RS in Shandong Province. The results of validation show that max relative error of the model is 39% while the average error of it was 19%, which means the model achieves a high precision. The result of the model has been widely used in "China Crop Watch System with Remote Sensing".
Keywords:remote sensing  crop  LAI  RS model  NDVI  estimation
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