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基于3S技术的天保区植被变化监测方法研究
引用本文:陈巧,陈永富,鞠洪波.基于3S技术的天保区植被变化监测方法研究[J].林业科学研究,2013,26(6):736-743.
作者姓名:陈巧  陈永富  鞠洪波
作者单位:中国林业科学研究院资源信息研究所, 北京 100091;中国林业科学研究院资源信息研究所, 北京 100091;中国林业科学研究院资源信息研究所, 北京 100091
基金项目:中央级公益性科研院所基本科研业务费专项资金(项目编号:CAFYBB2012020)
摘    要:以甘肃省清水县天然林保护区植被时空变化为研究对象,以2期Landsat TM遥感影像为主要信息源,以植被面积和植被覆盖度为监测指标,采用最大似然方法进行监督分类获得土地利用分类图和植被面积,采用NDVI像元二分法获得植被覆盖度图。利用空间分析和统计分析方法将土地利用分类图和植被覆盖度图进行空间叠加分析,揭示研究区1996—2004年间土地利用和植被覆盖度的数量变化和空间变化特征,并对天保区与非天保区以及不同天保区内部的差异进行对比分析。研究结果表明:1996年—2004年间甘肃省清水县天然林保护区森林面积和植被覆盖度得到了明显改善,且天保区优于非天保区; 不同类型天保区植被变化状况有差异,3种类型天然林保护区中以重点生态保护区植被改善状况最为显著。

关 键 词:TM遥感影像  天然林保护工程区  空间分析技术  土地利用分类  植被覆盖度
收稿时间:2012/12/15 0:00:00

Vegetation Change Monitoring for the Natural Forest Protection Based on Spatial Analysis Techniques
CHEN Qiao,CHEN Yong-fu and JU Hong-bo.Vegetation Change Monitoring for the Natural Forest Protection Based on Spatial Analysis Techniques[J].Forest Research,2013,26(6):736-743.
Authors:CHEN Qiao  CHEN Yong-fu and JU Hong-bo
Institution:Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China;Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China;Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
Abstract:The number and spatiotemporal change characters of the vegetation in natural forest protection area of Qingshui County, Gansu Province, were investigated and the external and internal differences during the period of 1996 to 2004 were compared with two indicators: the vegetation area which came from the land-use classification map by the maximum likelihood classification (MLC) and the vegetation fraction by the NDVI dimidiate pixel model based on two Thematic Mapper (TM) images, by using spatial analysis and statistical techniques. The results indicated that the forest area and the vegetation fraction improved more evidently in the natural forest protection area than in the other area during the period of 1996 to 2004 in the study area. In addition, the degree of the vegetation change differed among different types of the natural forest protection area, the key ecological reserve area of the natural forest protection showed the most remarkable improvement. The results of the study suggest that this method is feasible and ecosystem conditions of the natural forest protection area have been improved as the result of the implementation of classified management policies.
Keywords:Landsat TM image  natural forest protection area  spatial analysis techniques  land-use classification  vegetation fraction
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