龄组植被指数的构建及其初步应用研究  被引量:1

Construction of Age Group Vegetation Index and Preliminary Application

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作  者:许章华[1,2] 李聪慧[3] 刘健[2,4,5] 余坤勇[2,4] 龚从宏[2,4] 唐梦雅[2,4] 赖日文[2,4] 

机构地区:[1]福州大学环境与资源学院,福建福州350108 [2]福建农林大学3S技术应用研究所,福建福州350002 [3]北京林业大学自然保护区学院,北京100083 [4]福建农林大学林学院,福建福州350002 [5]三明学院,福建三明365000

出  处:《光谱学与光谱分析》2014年第6期1629-1634,共6页Spectroscopy and Spectral Analysis

基  金:国家林业局(948)项目(2013-4-70);福州大学人才基金项目(XRC-1345)资助

摘  要:林龄(龄组)是划分林分结构的主要指标之一,其对监测森林健康,推进森林可持续发展具有重要意义。本文提出一种基于遥感数据的龄组植被指数(AGVI),并对其可行性进行验证。以福建省三明市、将乐县、沙县、南平市、华安县、云霄县、南安市、安溪县、莆田市、长汀县、建阳市、宁德市及福清市等13个县(市)518组松林龄组数据及同时相HJ-1CCD多光谱影像为基础,对各龄组松林冠层的蓝光、绿光、红光、近红外及NDVI的光谱差异性进行分析,各龄组在近红外波段表现为幼龄林>中龄林>过熟林>成熟林>近熟林的特征,NDVI则表现为成熟林>近熟林>过熟林>幼龄林>中龄林的特征,由此构建龄组植被指数AGVI;该指数可以扩大各龄组松林的绝对及相对光谱差异。采用K-均值法对松林AGVI进行聚类分析,结果显示,松林龄组的划分精度为80.45%,准确率为90.41%。由此证实本文所构建的龄组植被指数具备有效性。In the present paper,one remote sensing index-age group vegetation index (AGVI)was put forward,and its feasibili-ty was verified.Taking 518 groups of pine forest age group data collected in 13 counties (cities)of Sanming,Jiangle,Shaxian, Nanping,Huaan,Yunxiao,Nanping,Anxi,Putian,Changting,Jianyang,Ningde and Fuqing,Fujian Province and HJ-1 CCD multi-spectral image at the same time-phase as the basis,the spectrum differences of blue,green,red,near infrared and NDVI of each age group were analyzed,showing the characteristics of young forest〉middle-aged forest〉over-mature forest〉mature forest〉near mature forest at near infrared band and mature forest〉near mature forest〉over-mature forest〉young forest〉mid-dle-aged forest at NDVI,thus the age group vegetation index(AGVI)was constructed;the index could increase the absolute and relative spectrum differences among age groups.For the pine forest AGVI,cluster analysis was conducted with K-mean method, showing that the division accuracy of pine forest age group was 80.45%,and the accurate rate was 90.41%.Therefore,the ef-fectiveness of age group vegetation index constructed was confirmed.

关 键 词:龄组植被指数 HJ-1 CCD影像 光谱特征 归一化差值植被指数 聚类分析 

分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置] P237[自动化与计算机技术—控制科学与工程]

 

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