| RS-and-GIS-Supported Forecast of Grassland Degradation in Southwest Songnen Plain by Markov Model |
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| 作者姓名： | LIJianping ZHANGBai GAOFeng |
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| 作者单位： | Ph.Dcandidate,NortheastInstituteofGeographyandAgricultureEcology,CAS,Changchun130012／／PostgraduateSchooloftheChineseAcademyofSciences,Beijing100039,China. |
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| 基金项目： | FundedbytheKnowledgeInnovationProjectofCAS(No.KZCX1SW19). |
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| 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.
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| 关 键 词： | 遥感观测 地理信息系统 草原退化 图片说明 马尔可夫模型 |
| 收稿时间： | 12 December 2004 |
RS-and-GIS-supported forecast of grassland degradation in southwest Songnen plain by Markov model |
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| LIJianping ZHANGBai GAOFeng.RS-and-GIS-Supported Forecast of Grassland Degradation in Southwest Songnen Plain by Markov Model[J].Geo-Spatial Information Science,2005,8(2):104-109. |
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| Authors: | Li Jianping PhD candidate Zhang Bai Gao Feng |
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| Institution: | (1) Northeast Institute of Geography and Agriculture Ecology, CAS, 130012 Changchun;(2) Postgraduate School of the Chinese Academy of Sciences, 100039 Beijing, China |
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| Abstract: | 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 ArcInfo 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. |
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| Keywords: | remote sensing geographic information system grassland degradation image interpretation markov model |
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