...
首页> 外文期刊>Journal of Geographic Information System >Spatio-Temporal Analysis of Landuse/Landcover Change of District Pishin Using Satellite Imagery and GIS
【24h】

Spatio-Temporal Analysis of Landuse/Landcover Change of District Pishin Using Satellite Imagery and GIS

机译:基于卫星图像和GIS的皮什县土地利用/土地覆被变化时空分析

获取原文
           

摘要

Detecting change on the face of the globe using GIS (Geographic Information System) aided by remotely sensed imagery is now becoming an indispensable tool in managing the resources of our planet. The present study with the help of GIS and remote sensing (RS) is also a similar attempt in recording and quantifying change in land use and land cover in district Pishin both in spatial and temporal extents. Satellite imagery was acquired from the USGS official website from three LANDSAT satellites. Theses satellites are LANDSAT 5, LANDSAT7 and LANDSAT 8. The data were acquired for the years 1992, 2003 and 2013. Satellite imagery was processed in ArcMap 10.1 and maximum likelihood supervised image classification was applied in reaching the goal of detecting change. The result of the analysis revealed that built-up area was increased by 5.84%; vegetation was increased by 3.89%; water bodies were increased by 0.05% and bare surfaces were decreased by 9.78%. The decrease in the barren surfaces was attributed to the increase in vegetation and built-up area which replaced the barren land in the study area. This paper also shows the significance and potential of digital change detection methods in managing the resources of our environment and keeping an eye on the land use and land cover of our Earth.
机译:使用GIS(地理信息系统),借助遥感影像来检测地球表面的变化,现在已成为管理我们星球资源的必不可少的工具。在GIS和遥感(RS)的帮助下,本研究也是在空间和时间范围上记录和量化Pishin地区土地利用和土地覆盖变化的类似尝试。卫星图像是从USGS官方网站上从三颗LANDSAT卫星获得的。这些卫星是LANDSAT 5,LANDSAT7和LANDSAT8。这些数据分别是1992、2003和2013年的数据。在ArcMap 10.1中处理了卫星图像,并应用了最大似然监督图像分类来达到检测变化的目标。分析结果表明,建筑面积增加了5.84%。植被增加了3.89%;水体增加了0.05%,裸露表面减少了9.78%。贫瘠土地的减少归因于植被和建成区面积的增加,从而取代了研究区域的贫瘠土地。本文还展示了数字变化检测方法在管理环境资源以及关注地球的土地利用和土地覆盖方面的重要性和潜力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号