基于ETM影像的植被指数在土地利用中的特征——以雅安市雨城区为例  

CHARACTERISTICS OF VEGETATION INDICES IN LAND UTILIZATION BASED ON ETM IMAGE——-A CASE STUDY IN YUCHENG DISTRICT

作　　者：方从刚[1,2] 邓良基[1,2] 胡玉福[1,2] 高雪松[1,2] 凌静[1,2] 黄成毅[1,2] 何鹏[1,2] 

机构地区：[1]四川农业大学资源环境学院,四川雅安625014 [2]四川省土地信息重点实验室,四川雅安625014

出　　处：《长江流域资源与环境》2006年第A01期41-45,共5页Resources and Environment in the Yangtze Basin

基　　金：国家星火计划--“四川农业科技110”资助.

摘　　要：利用LandSAT7号卫星的ETM数据、土地利用现状数据，在GIS空间分析工具与ERDAS空间建模语言的支持下，提取ETM影像的RVI、NDVI和MSAVI等3类植被指数，在ArcGIS中应用样带统计分析工具，统计并分析3类植被指数在各土地利用类型中的分布与特征。结果表明：RVI与NDVI、MSAVI在各土地利用中的特征相似，都能较好的反映土地利用类型的覆盖程度，但各植被指数的表现形式有异，即RVI值高的，NDVI、MSAVI值较低，代表的植被覆盖度也较低，反之亦然；3类植被指数能较好的区分出农田用地、非植被覆盖区、植被覆盖区，而林地与灌木林、早地与园地则不易区分。With the support of GIS spatial analysis tools and ERDAS spatial language,ETM image and land utilization status data from LandSAT satellite No. 7 are used to extract RVI,NDVI and MSAVI vegetation indices in ETM image. And zonal statistic analysis tool in ArcGIS is applied in the statistics and analysis of the distribution and characteristics of the three vegetation indices in each land utilization type. The result indicates that the characteristics of RVI,NDVI and MSAVI in land utilization are similar,and they can reflect vegetation coverage extents well. But their manifestations are different--RVI is high, NDVI and MSAVI are lower,and the vegetation coverage extents they represented are relatively low,vice versa. The three vegetation indices can distinguish farmland, non-vegetation coverage area and vegetation coverage area well,but it is difficult to distinguish forestland and shrubbery land,as well as dry land and orchard.

关 键 词：植被指数 GIS 遥感 

分 类 号：S127[农业科学—农业基础科学]