基于高程模型的鄱阳湖湿地植被遥感信息识别与分类提取  

Remote Sensing Information Recognition and Sort Abstraction of Poyang Lake Wetland Vegetation Based on the DEM

作　　者：雷天赐[1] 黄圭成[1] 雷义均[1] 

机构地区：[1]宜昌地质矿产研究所,湖北宜昌443003

出　　处：《资源环境与工程》2009年第6期844-847,共4页Resources Environment & Engineering

基　　金：中国地质调查局<湖南桑植-湖北宜都地区矿产资源远景调查>项目资助(项目号:B200704)

摘　　要：通过分析研究鄱阳湖沼泽湿地植被的光谱特性及其生长环境,依据不同的光谱值和所生长的高程,利用TM影像和DEM影像,融合光谱和高程值对沼泽湿地地区草洲各植被群落带进行了分类提取。此方法的应用,降低了采用单一的光谱值提取植被子类的难度,提高了植被子类群落带分类的精度,分类结果理想且人工参与灵活。This paper analyzed spectral characteristics and the growth environment of Poyang Lake mire wetland.According to different spectral value and its grown height,the sort abstraction on each vegetation group of grassland in mire wetland area was made by using TM and DEM image as well as merging spectrum and height value.The application of this method reduced the difficulty of adopting single spectral value to draw the subdivision of the vegetation.It also increased the accuracy of vegetation group sort.The classified result is ideal and people can participated in this method flexibly.

关 键 词：鄱阳湖 沼泽湿地 草洲 DEM 遥感 

分 类 号：Q948.152[生物学—植物学]