资源与产业 ›› 2010, Vol. 12 ›› Issue (5): 91-95.

• 资源管理 • 上一篇    下一篇

基于TM影像的商丘市区土地利用变化动态监测

贺 振   

  1. (商丘师范学院 环境与规划系,河南 商丘 476000)
  • 收稿日期:2009-12-10 修回日期:2010-09-16 出版日期:2010-10-20 发布日期:2010-10-20
  • 作者简介:贺振 (1977— ),男,博士、副教授,主要从事3S技术开发与应用研究。E-mail:hezh911@yeah.net
  • 基金资助:

    2010年度河南省政府决策研究招标课题(B549,B538);2010年度商丘师范学院青年科研基金项目(2010QN18);2010年度商丘师范学院青年骨干教师科研项目;2010年度教育厅人文社会科学研究项目(2010-QN-111)。

DYNAMIC MONITORING OF LAND USE CHANGE BASED ON TM IMAGEIN SHANGQIU CITY

 HE  Zhen   

  1. (Department of Environment and Planning, Shangqiu Normal University, Shangqiu 476000, China)
  • Received:2009-12-10 Revised:2010-09-16 Online:2010-10-20 Published:2010-10-20

摘要:

土地利用/土地覆被变化是全球环境变化的重要组成部分和主要原因之一。利用遥感和地理信息系统软件,以1990年和2004年商丘市区Landsat TM影像为数据源,经主成分增强处理和 NDVI 分析,采用最大似然比法,结合人工目视解译对影像进行识别分类,获得了商丘市区两个时相的土地利用分类数据。结果表明:商丘市主要土地利用类型为耕地,1990年和2004年耕地面积分别为1 535.47 km2和1 327.33 km2,各占总面积的87.4%和75.55%;自1990年至2004年,共有212.75 km2耕地转为建设用地,耕地共减少了208.14 km2,约占1990年耕地的13.56%;至2004年,林地共增加了34 km2;建设用地增加约141.91 km2,增长率为74%,主要由耕地转化而来。使用综合手段进行遥感分类可以有效提高分类精度。

关键词: TM影像, 土地利用/覆被变化, 动态监测, 商丘市

Abstract:

 Changes in land use and land cover is a vital part of global climate change, is also one of the reasons. This paper, based on Landsat TM images of 1990 and 2004, by using RS and GIS softwares to make the Principal Component Analysis and NDVI analysis, acquires land use classes data according to the maximum likelihood method with assistance of the artificial visual interpretation, and studies the land use type and spatial change. The results show that the main land use type is arable land in Shangqiu, with areas 1 535.47 km2 and 1 327.33 km2, accounting for 87.40 and 75.55 percent of the total land area in 1990 and 2004 respectively. From 1990 to 2004, 212.75 km2 arable lands were converted into construction land reducing 208.14 km2 totally, accounting for 13.56 percent of arable land of 1990. Forest land increased 34 km2, construction land 141.91 km2 accounting for 74 percent of construction land of 1990, which mainly converted from arable land. Classification accuracy can be improved by using of the synthesized means.

Key words: TM image, changes in land use and land cover, dynamic monitoring, Shangqiu

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