RS-and-GIS-Supported Forecast of Grassland Degradation in Southwest Songnen Plain by Markov Model

被引：21

作者：

Li Jianping ^{[1
]}

Zhang Bai

Gao Feng

机构：

[1] Chinese Acad Sci, Northeast Inst Geog & Agr Ecol, Changchun 130012, Jilin, Peoples R China

来源：

GEO-SPATIAL INFORMATION SCIENCE | 2005年 / 8卷 / 02期

关键词：

remote sensing; geographic information system; grassland degradation; image interpretatiom; markov model;

D O I：

10.1007/BF02826848

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

By taking Daan city in Jilin Province as a research object and by using TM image in 1989 and ETM + image in 2001 from American LANDSAT satellite, all kinds of maps and documentation, information of grassland, saline-alkalized land, cropland, water area and forestland is extracted by man-computer interactive interpretation method with ArcView and Arclnfo GIS software, and statistics data is acquired. On the basis of this the changing trend of land use types in the next ten years is forecasted and analyzed with Markov model. The results indicate that the problem of grassland degradation in the study area is quite serious.

引用

页码：104 / 109

页数：6