首页 | 本学科首页   官方微博 | 高级检索  
     

帽儿山地区叶面积指数遥感反演
引用本文:杨何攀,杨永国,刘云辉. 帽儿山地区叶面积指数遥感反演[J]. 湖北林业科技, 2010, 0(4): 21-25
作者姓名:杨何攀  杨永国  刘云辉
作者单位:中国矿业大学资源与地球科学学院,江苏,徐州,221008;中国矿业大学资源与地球科学学院,江苏,徐州,221008;中国矿业大学资源与地球科学学院,江苏,徐州,221008
基金项目:国家科技重大专项项目 
摘    要:以黑龙江省尚志市帽儿山林场(东北林业大学试验林场)为研究区,利用现代卫星遥感技术,结合实地调查采样数据和GPS测量技术,建立了从Landsat TM影像数据提取的植被指数(Vegetation Index,VI)与地面实测的叶面积指数(Leaf Area Index,LAI)的统计回归模型。然后再从众多统计模型中按照各自的相关系数(R)和确定系数(R2),选出反演LAI的最佳模型。

关 键 词:遥感  植被指数  叶面积指数  帽儿山

Remote Sensing Inversion of Leaf Area Index in Maoer Mountain
Yang Hepan,Yang Yongguo,Liu Yunhui. Remote Sensing Inversion of Leaf Area Index in Maoer Mountain[J]. Hubei Forestry Science and Technology, 2010, 0(4): 21-25
Authors:Yang Hepan  Yang Yongguo  Liu Yunhui
Affiliation:Yang Hepan Yang Yongguo Liu Yunhui(School of Resources and Earth Sciences China University of Mining and Technology Xuzhou 221008)
Abstract:Maoer Mountain Forest Farm of Shangzhi City of Heilongjiang Province(Forest Farm of Northeast Forestry University Test)as the study area,modern satellite remote sensing technology was adopted,and combining with field survey data and GPS measurement of sampling technology,a Landsat TM image data from extraction of vegetation index(Vegetation Index,VI)with the ground measured leaf area index(Leaf Area Index,LAI)of the statistical regression model was established.From a number of statistical models in accordance with their respective correlation coefficient(R)and determination of coefficient(R2),it will se-lect the best model for LAI inversion.
Keywords:Remote Sensing  Vegetation Index  Leaf Area Index  Maoer Mountain
本文献已被 维普 万方数据 等数据库收录!
点击此处可从《湖北林业科技》浏览原始摘要信息
点击此处可从《湖北林业科技》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号