首页> 外文期刊>International Journal of Geomatics and Geosciences >Land Use / Land cover change detection in Doon valley (Dehradun Tehsil), Uttarakhand: ??using GIS& Remote Sensing technique
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Land Use / Land cover change detection in Doon valley (Dehradun Tehsil), Uttarakhand: ??using GIS& Remote Sensing technique

机译:北阿坎德邦Doon山谷(Dehradun Tehsil)的土地利用/土地覆被变化检测:使用GIS和遥感技术

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Land use and land cover is an important component in understanding the interactions of the human activities with the environment and thus it is necessary to be able to simulate changes. The study has been done through remote sensing approach using SOI map of Dehradun Valley. The aims of this study are to detect land use changes between 2000 to 2009 using satellite images of Landsat (ETM+, TM, MSS), LISS-III, SRTM and digital SOI topographic maps have been used. The aim of this study is to produce a land use/ land cover map of Dehradun valley at two epochs in order to detect the changes that have taken place particularly in the built-up land and forest areas. Landuse changes have been detected by image processing method in EDRAS imagine9.3, ArcGIS9.3. Finally to predict the changes in urban habitants and landuse/landcover changes occurred. Monitoring of landuse/landcover changes which would help to plan development activities such as major schemes and their land requirements. The nine year time period of 2000 -2009 shows the major type of land use change. Forest area is decreased 3.75 % and water (seasonal) decreased 9.5%. Most remarkable change has taken place in Built up area resulting in 112.4% growth in less than a decade period.
机译:土地利用和土地覆盖是理解人类活动与环境相互作用的重要组成部分,因此有必要能够模拟变化。这项研究是使用Dehradun Valley的SOI地图通过遥感方法完成的。本研究的目的是使用Landsat的卫星图像(ETM +,TM,MSS),LISS-III,SRTM和数字SOI地形图来检测2000年至2009年之间的土地利用变化。这项研究的目的是在两个时期绘制Dehradun山谷的土地利用/土地覆盖图,以便发现特别是在已建成的土地和森林地区发生的变化。通过EDRASimagine9.3,ArcGIS9.3中的图像处理方法已检测到土地利用变化。最终预测城市居民的变化以及发生的土地利用/土地覆被变化。监测土地利用/土地覆被变化,这将有助于计划发展活动,例如重大计划及其土地需求。 2000年至2009年的9年时间段显示了土地利用变化的主要类型。森林面积减少了3.75%,水(季节性)减少了9.5%。建筑面积发生了最显着的变化,在不到十年的时间里增长了112.4%。

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