文献类型：期刊文献

中文题名：基于MODIS数据的森林覆盖变化监测方法研究

英文题名：Forest Cover Change Monitoring Using MODIS Data

作者：覃先林[1,2] 陈尔学[1,2] 李增元[1,2] 易浩若[1,2]

第一作者：覃先林

机构：[1]中国林业科学研究院资源信息研究所;[2]林业部重点开放性实验室-林业遥感与信息技术实验室

年份：2006

卷号：21

期号：3

起止页码：178-183

中文期刊名：遥感技术与应用

外文期刊名：Remote Sensing Technology and Application

收录：CSTPCD;;CSCD:【CSCD_E2011_2012】；

基金：国家863项目"遥感数据森林资源定量应用"(No.2002AA133050)资助

语种：中文

中文关键词：MODIS;森林覆盖变化;监测

外文关键词：MODIS, Forest cover change, Monitoring

分类号：TP79

摘要：自然灾害、森林采伐以及其它人为活动等都将导致森林覆盖的变化。遥感提供了大尺度范围监测森林覆盖变化的能力,但要获得森林覆盖变化的信息,则需要有效地从遥感影像中提取变化信息的技术方法。研究在借鉴美国宇航局(NA SA)生产MOD IS土地覆盖变化(LCC)产品所采用的算法基础上,利用MOD IS数据,分别采用红光-近红外法、共生纹理矩阵法和基于相似度的变化检测方法对我国东北林区的森林覆盖变化监测方法进行了研究,并用近年发生在黑龙江的重(特)大森林火灾为实例进行了验证。
Forest cover will be changed by natural disaster, deforest and other activities. Remote sensing has the ability to monitor the change of forest cover in large area. However, in order to get the change information of forest cover, the method for getting the change information from remote sensing images is needed. Based on the Algorithm of Global Land Cover Change （LCC） of National Aeronautics and Space Administration （NASA） by using MODIS data, this paper has studied the method of forest cover change by using MODIS data. Three kinds of monitoring methods （Red-NIR method, Co-occurrence method and Similitude method） have been tested in northeast forest of China in this time. At the same time, their validation has been compared by using the large area forest fires which have taken place in Hei Longjiang province in recent year.