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基于遥感技术的银川市土地利用/覆被研究
引用本文:杜灵通. 基于遥感技术的银川市土地利用/覆被研究[J]. 干旱区地理, 2007, 30(4): 85-589
作者姓名:杜灵通
作者单位:宁夏大学,西部发展研究中心,宁夏,银川,750021;西北退化生态系统恢复与重建省部共建教育部重点实验室,宁夏,银川,750021;宁夏大学·岛根大学国际联合研究所,宁夏,银川,750021
基金项目:国家自然科学基金(30660039),宁夏大学青年教师科研启动基金资助(QN0521)资助
摘    要:为消除地形复杂地区不同地物的同谱异物现象,在遥感(RS)和地理信息系统(GIS)技术的支持下,采用分区分类方法对宁夏银川市1991和1999年的Landsat TM/ETM 影像进行解译,得到了银川市两期土地利用/覆被变化数据。在此基础上,通过转移矩阵和土地利用/覆被变化幅度、动态度及状态指数模型,对银川市土地利用/覆被变化的状况和变化过程进行了研究。结果表明,在研究期内,银川市各土地利用/覆被变化类型都有不同程度的变化。林地、耕地和城市用地转入大于转出,朝着规模增加的方向发展,而草地和水体转出大于转入,朝着规模缩小的方向发展,未利用地虽然转入大于转出,但变化缓慢;土地利用/覆被年变化率最大的是草地,其次为耕地,未利用地的最小。

关 键 词:土地利用/覆被变化  遥感  分区分类  宁夏
收稿时间:2006-09-28
修稿时间:2007-01-22

Land use/cover change in Yinchuan City based on RS technology
DU Ling-tong. Land use/cover change in Yinchuan City based on RS technology[J]. Arid Land Geography, 2007, 30(4): 85-589
Authors:DU Ling-tong
Abstract:Using the integrated technology of Remote Sensing(RS) and Geographic Information System(GIS),the types of land use/cover change(LUCC) in Yinhuan City,Ningxia Hui Autonomous Region,are interpreted based on the remote sensing imagery data which were acquired by Landsat TM in 1991 and Landsat ETM in 1999.According to the conditions of the study area,which have the same reflectance spectrum in a part of uncoverd rocks and city land,the paper uses sub-region classification methods to interpret these images and gets a perfect classification results.Using these data,the paper studies the status and process of Land use/cover change in Yinchuan from 1991 to 1999 by conversion matrix and mathematics models such as change extent,dynamic change index and state index of LUCC.The results of conversion matrix show that woodland,farmland and city land have more input and grassland and water area have more output.The mathematics models of LUCC show that all kinds of LUCC have a different change in recent years.Dynamic change index indicates that grassland has the most change,the second is farmland and unused land has the lowest change.State index of LUCC indicates that the grassland and water areas are in reducing,while the woodland,city land and farmland are in increasing.Unused land has more input,but dynamic change index indicates that it changed slowly.
Keywords:Land use/cover change  Remote sensing  Sub-region classification method  Ningxia
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