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石河子垦区土地利用/土地覆被变化遥感监测研究

Study on Land Use/Cover Change Monitoring Using Remote Sensing in Shihezi Reclamation Region

【作者】 张丽

【导师】 蒋平安; 杨朋润;

【作者基本信息】 新疆农业大学 , 土壤学, 2004, 硕士

【摘要】 本文利用石河子垦区 1998 年和 2002 年两期陆地资源卫星 Landsat TM 数据,采用遥感(RS)和地理信息系统(GIS )相结合的技术方法,进行了该区土地利用/土地覆被变化(LUCC)的动态监测和分析研究。研究主要在地理信息系统软件 ERDAS IMAGINE 的支持下,对遥感数据源的处理方法中在运用传统技术贝叶斯(Bayes)监督分类方法提取石河子垦区两期遥感影像土地利用/土地覆被变化信息的同时,试验了矢量数据与监督分类法相结合的方法,大大提高了分类的精度。通过土地利用动态度和土地利用程度指数两个指标的引入,分析了近年来该地区土地利用/土地覆被变化的趋势。结果表明:十三年来,该地区土地利用/土地覆被变化很大,城镇居民地及工矿用地、交通用地面积增加非常快,耕地的面积也在增加,林地、水域面积大幅度减少,草地面积和未利用土地面积也呈现萎缩的现象,导致该地区的土地利用程度以每年 0.22%的速率增长,目前已达到一个比较高的开发水平。经过调查分析该区域土地利用/土地覆被变化的主要驱动力因素可归结为三个方面: 1.城镇化速率加快;2.人口数目的增长;3.政府决策行为。并在此基础上针对今后该区的土地可持续利用提出了建议。

【Abstract】 This paper discusses the techniques and methods regarding dynamic monitoringland use/cover change (LUCC) based on remote sensing (RS) and geographical informationsystem (GIS).In this paper, Shihezi reclamation region’s LUCC situation has beeninvestigated by monitoring and analytical research of two phases of Landsat TM data of 1989and 2002 .Supported by GIS software as ERDAS IMAGINE, the Bayes-Supervisedclassification was improved by combining RS image and GIS vector data to greatly increasethe classification’s accuracy. By presenting two indexes of land use dynamic degree and landuse degree, the region tendency of LUCC and the driving force factors were analysized in thethirteen years. The conclusion was gotten: the land use/cover change in Shihezi reclamationregion was quick. In the thirteen years, the area of habitat and building land have increasedsharply while forestland and water body decreased fast, and grassland area and moorland havea little reduced. The land use degree increased at the higher-development rate of 0.22%annually. The mainly three driving force factors of LUCC were: urbanization;populationincrease and the government’s determining behavior. On this basis, the recommendations ofsustainable use on land in Shihezi reclamationregion were put forward.

  • 【分类号】S159
  • 【被引频次】2
  • 【下载频次】380
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