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.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
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
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
Age group vegetation index
HJ-1 CCD image
Spectral characteristics
Normalized difference vegetation index
Cluster analysis
