Landuse and Landcover analysis using Remote Sensing and GIS: A case study in parts of Kadapa District, Andhra Pradesh, India.

M. Rajasekhar, G. SudarsanaRaju, R. Siddiraju, A. Padmavathi, B. BalaramNaik
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引用次数: 4

Abstract

Digital change detection techniques by using multi-temporal satellite imagery helps in understanding landscape dynamics. The present study illustrates the spatio-temporal dynamics of Land use/cover of around Chennur, Kadapa District, Andhra Pradesh India. Landsat satellite imageries of two different time periods, i.e., Landsat Thematic Mapper (TM) were acquired by earth explorer site and quantify the changes in the study area 2005-2006 to 20015-16 over a period of 10 years. Supervised classification methodology has been employed using maximum likelihood techniques in ERDAS 2014 Software. The images of the study area were categorized into five different classes, namely Forest, Agriculture, Wastelands, Built-up and waterbodies. The results indicate that during the last 10 years, Waste Land and Built-up land have been increased by 3.86% (3.79 Sq km) and 2.98% (2.93 Sq km) while Agriculture, Forest and Waterbodies have decreased by 5.17% (5.08 Sq km), 0.45% (0.44 Sq km) and 1.22% (1.20 Sq km), respectively.
基于遥感和GIS的土地利用和土地覆盖分析:以印度安得拉邦Kadapa地区部分地区为例。
利用多时相卫星图像的数字变化检测技术有助于了解景观动态。本文研究了印度安得拉邦卡达帕县钦努尔周边地区土地利用/覆盖的时空动态。利用地球探测站点获取Landsat Thematic Mapper (TM)两个不同时期的Landsat卫星图像,量化了研究区2005-2006年至2005- 16年10年间的变化。在ERDAS 2014软件中使用最大似然技术采用监督分类方法。将研究区图像分为森林、农业、荒地、建筑和水体5类。结果表明:近10年来,该区荒地和建成区面积分别增加了3.86%(3.79平方公里)和2.98%(2.93平方公里),而农田、森林和水体面积分别减少了5.17%(5.08平方公里)、0.45%(0.44平方公里)和1.22%(1.20平方公里)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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