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基于遥感数据的元江县植被/土地利用类型研究
引用本文:赵敏慧,曾和平,杨树华,杨礼攀.基于遥感数据的元江县植被/土地利用类型研究[J].云南地理环境研究,2004,16(4):35-40.
作者姓名:赵敏慧  曾和平  杨树华  杨礼攀
作者单位:云南大学,生态学与地植物学研究所,云南,昆明,650091
基金项目:玉溪市环保局“玉溪市生态环境规划”项目.
摘    要:元江县山区面积占全县总面积的96.8%,垂直高差达2253m,地形复杂,植被类型存在明显的垂直分布。只用一个解译体系来解译这一有较大差异地区的影像是有困难的。因此本研究为提高影像解译的准确性,在对2002年2月9日覆盖元江全景的TM卫星影像进行数据校正、影像融合、影像分层、计算机自动监督分类的基础上,利用全球卫星定位系统(GPS),结合野外踏察及地形图、土地利用相关信息对机读结果进行目视检验和GIS分析校正,最终划分出18类植被类型、9类土地利用类型。判读结果经检验,土地利用的判读精度为84.2%,植被类型的判读精度为80.6%。

关 键 词:元江县  遥感  植被/土地利用类型  判读方法
文章编号:1001-7852(2004)04-0035-06
修稿时间:2003年10月28

RESEARCH OF VEGETABLE ASND LAND USE TYPES OF YUANJIANG COUNTY BASED ON REMOTELY SENSED DATA
ZHAO Min-hui,ZENG He-ping,YANG Shu-hua,YANG Li-pan,.RESEARCH OF VEGETABLE ASND LAND USE TYPES OF YUANJIANG COUNTY BASED ON REMOTELY SENSED DATA[J].Yunnan Geographic Environment Research,2004,16(4):35-40.
Authors:ZHAO Min-hui  ZENG He-ping  YANG Shu-hua  YANG Li-pan  
Abstract:Yuanjiang County has complex topography, mountain area takes the 96.8% of whole county total area, elevation spatial difference reach to 2 253 metre, vegetation type has obvious vertical distribution. It is usually difficult to obtain accurate image information in use only one interpretation system. Landsat/ TM image data on Feb. 9,2002 that covers Yuanjiang County was used as data source in the study. The image data was processed with the support of methods-geometric correction, image merge, image stratification, and computer automatic supervised classification that using global positioning system(GPS) and some geographic information data established interpretation sign between field and TM image. To improve the accurate of auto-interpretation, the research have carried out visual interpretation and geographic information system(GIS) analysis correction based on auto-interpretation, combination with field survey, GPS fixed position,topographic map and land use information. As result, 18 kinds of vegetation type and 9 kinds of land use type were divided. Land use type precision is 84.2%, vegetation type precision is 80.6% by inspection.
Keywords:Yuanjiang County  remote sensing  vegetable and land use types  interpretation method
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