基于高分辨率卫星影像的ntpcs周边土地利用/土地覆盖时空动态研究

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摘要

由于人口增长和工业化,土地正成为稀缺资源。人类活动的快速增长也可以归因于原因之一。因此,调控土地资源,实现可持续发展和环境保护成为一项重要任务。土地利用变化研究已经成为当前管理和规划土地资源以及监测环境变化战略的核心组成部分。利用1984年、2005年、2011年、2015年、2018年4个年份的Landsat-4、IRS P6、liss - iii和IRS 2、LISS-IV卫星数据,结合GIS技术,对NTPCRamagundam及其周边环境的土地利用变化格局进行了时空动态分析。该方法包括从SOI地形图中编制具有道路(SH),铁路,运河,河流,溪流,坦克,森林边界和其他行政边界等特征的底图,并在卫星图像上更新数字化特征。利用nrsc标准的LULC分类系统对研究区进行解译,提取各年份卫星影像的LULC特征。变化检测统计数据可以从5个LULC主题层中生成,并专门针对NTPC环境进行分析。研究结果表明:1984年,北京市建成区、农用地、林地、荒地、水体的地理面积占比分别为10.27%、60.68%、6.61%、11.81%、10.63%,2018年分别为21.41%、48.51%、5.97%、12.77%、11.34%。该分析显示,1984年至2018年间,建设用地快速增长,农业用地减少。从1984年到2018年,其余特征发生了相当大的变化。
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Spatio-Temporal Dynamics of Landuse/Land Cover Around NTPC Using High Resolution Satellite Imagery
Land is becoming scarce resource due to population growth and industrialization. Rapid growth of human activities can also be attributed as one of the reasons. Thus, it becomes an important task to regulate land resource for sustainable development and environmental protection. LULC change studies have become a central component in current strategies for managing and planning land resources and monitoring environmental changes. In this paper an attempt has been made to bring out spatio-temporal dynamics of LULC patterns of NTPCRamagundam and its surrounding environment by using multi-temporal satellite data of Landsat-4, IRS P6 LISS-III and IRS 2 LISS-IV and GIS techniques for the years 1984, 2005, 2011, 2015, 2018. The methodology includes base map preparation having features like Road (SH), Rail, Canal, River, Stream, Tanks, Forest boundary and other administrative boundaries from SOI topo sheet and the features digitized are updated on satellite images. Interpretation of study area for LULC feature extraction on satellite imageries of respective years is carried with Nrsc’s standard LULC classification system. Change detection statistics can be generated out of 5 LULC thematic layers obtained and analysed specially with respect to NTPC environs. Results from this study shows the percentage of geographical area occupied by built-up land, agricultural land, forests, wasteland and waterbodies of level-I LULC features were 10.27%, 60.68%, 6.61%, 11.81%, 10.63% respectively in 1984 and were changed into 21.41%, 48.51%, 5.97%, 12.77%, 11.34% respectively in 2018. This analysis shows a rapid growth in built-up land and fall in agricultural land between 1984 and 2018. There is a considerable change in the remaining features from 1984 and 2018.
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