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基于GIS的遥感影像土地利用与覆盖信息提取研究
引用本文:巴雅尔,王建华,祁元.基于GIS的遥感影像土地利用与覆盖信息提取研究[J].干旱区资源与环境,2004,18(2):106-109.
作者姓名:巴雅尔  王建华  祁元
作者单位:中国科学院寒区旱区环境与工程研究所,兰州730000;内蒙古师范大学地理科学学院,呼和浩特,010022;中国科学院寒区旱区环境与工程研究所,兰州730000
基金项目:中国科学院知识创新工程重大项目:KZCX-Y-0 2 -0 1-0 4
摘    要:本文以 2 0 0 0年精加工数字遥感影像为基本信息源 ,以甘肃省张掖地区为实验区 ,在 ARC/INFO GIS软件支持下进行了提取土地利用 /土地覆盖信息的实验研究 ,从而为大面积复杂区域实施土地利用 /土地覆盖信息快速提取和后续的动态监测与驱动因子分析提供了工作基础。经过实验证明 ,此技术路线操作简便、工作周期短、定性定位准确率高

关 键 词:GIS  遥感影像  土地利用/土地覆盖
文章编号:1003-7578(2004)02-106-04
修稿时间:2003年6月1日

Research on Acquiring Information of Landuse/landcover by Remote Sense Image Based on GIS
Bayaer , WANG Jian-hua QI Yuan.Research on Acquiring Information of Landuse/landcover by Remote Sense Image Based on GIS[J].Journal of Arid Land Resources and Environment,2004,18(2):106-109.
Authors:Bayaer  WANG Jian-hua QI Yuan
Institution:Bayaer 1,2 WANG Jian-hua 1 QI Yuan 1
Abstract:Landuse/landcover closely correlate to the atmosphere and the biology variety, and directly influence the global change. Therefore, it has been the core of IGBP and IHDP. In this paper, we analyzed the acquiring of the landuse and landcover information from the elaborated remote sense image in ZhangYe region in GanSu province, which based on ARC/INFO GIS software. According to these work, we provided the base for acquiring of landuse/landcover information among the wide and complex range, and the foundation for the farther dynamic inspecting and driving factor anglicizing. According to the practical work, we got several conclusions: First, the scientific and feasible interpretation key, building upon the full comprehension of the physical geography variation principle on the research region, is the premier condition when we acquire the landuse/landcover information from RS image with GIS technique. Second, comparing with the traditional method, the method avoided many complicated steps, such as transfer, fair drawing and digitize, economized lots of manpower and money, diminished the source and accumulation of the error and bought time for the applying of the dynamic inspecting. Last, comparing with the other digitize using non-GIS software, the method abandoned the conversion of the data format, and directly created coverage during man-machine interactive interpretation, and then we could edit the coverage in the ARC/INFO and compile ourselves menu with the AML (ARC Macro Language), consequently, improved the work efficiency greatly.
Keywords:GIS  remote sence image  landuse/landcove
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