文献类型：期刊文献

中文题名：密郁闭林分针叶林失叶量遥感监测模型初探

英文题名：MODELING DEFOLIATION CONDITIONS IN MODERATE CANOPY DENSITY AND CLOSED CONIFEROUS FOREST USING LANDSAT TM DATA

作者：武红敢[1] 崔恒建[1] 乔彦友[1] 黄建文[1] 陈林洪[1] 严小君[1]

第一作者：武红敢

机构：[1]中国林科院资源信息所,北京师范大学数学系,浙江省江山市森防检疫站

年份：1995

期号：2

起止页码：29-35

中文期刊名：国土资源遥感

外文期刊名：REMOTE SENSING FOR LAND & RESOURCES

收录：CSTPCD;;CSCD:【CSCD_E2011_2012】；

基金：国家"八五"重点科技攻关项目

语种：中文

中文关键词：失叶量;遥感监测;森林资源;分针叶林;马尾松

外文关键词：defoliation; remote sensing modlitoring; model.

分类号：S771.8

摘要：森林资源现状的监测和评估，是环境资源遥感的重要内容之一，它不仅关系着林业的发展，而且直接对区域环境及其可持续发展有着深远的影响，因而，这一问题已引起各国的极大关注。本文主要探讨利用ＴＭ数据进行定量监测和评估森林落叶量的可行性，总结出森林植被绿色生物量的变化也可用罗辑斯蒂曲线来描述。
It is an important subject to monitor and assess forest resource quality.This not only relates to forest industry, but also affects regional environment and continuable development.This paper quantatively probes into the feasibility of mapping and assessing forest defoliation by remote sensing data, and indicates there is some correlative relation between the TM5/TM4 ratio and needle loss percentage. The nonlinear relation between the defoliation and TM5/TM4 ratio is established by using nonparametric smoothing weight method and it is compared with linear relation. Powerful numericai results are provided to search for the best remote sensing parameter discriminating needle loss percentage. It is concluded that Logist curve is suitable for describing forest strecture change caused by defoliation.