ASSESSMENT OF LAND USE/LAND COVER CHANGES FROM 2001 TO 2021 USING GOOGLE EARTH ENGINE IN RAMAGUNDAM MINING AREA, PRANHITA-GODAVARI VALLEY, SOUTHERN INDIA

S. Kiran, Rohit Kumar, Kakoli Gogoi
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Abstract

Coal is one of the important primary sources of energy in India, which are generally extracted through open cast mining. However, coal mining activities, particularly open cast mining method are known to result in adverse environmental impacts such as vegetation loss, air pollution, ground water contamination along with changes in land use land cover (LULC) features. Hence, reliable temporal data on the impact of mining activities are required to aid in mine reclamation and management efforts. Assessment of LULC changes over the last two decades was carried out in this study in Ramagundam coal field, a part of the Pranhita-Godavari valley using Google Earth Engine (GEE) integrated with Geographical Information System (GIS). Landsat 5 and Landsat 8 multispectral satellite data of 2001 and 2021 with <5% cloud cover were used to classify LULC classes. The different land use classes mainly water body, vegetation, builtup and mining area in Ramagundam coal field are classified in GEE through supervised classification using Classification And Regression Tree (CART) classifier. The study reveals that the mining operations increased dramatically between 2001 and 2021. On the other hand, agriculture land has also risen as barren land has been turned to productive land as a result of some effective environmental policies. This study will aid policy makers and environmentalists in understanding nature of change in LULC features in the area so as to plan accordingly. ASSESSMENT OF LAND USE/LAND COVER CHANGES FROM 2001 TO 2021 USING GOOGLE EARTH ENGINE IN RAMAGUNDAM MINING AREA, PRANHITA-GODAVARI VALLEY, SOUTHERN INDIA Received on: 19.09.2021 Revised on: 30.09.2021 Accepted on: 15.10.2021
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利用谷歌地球引擎评估印度南部pranhita-godavari山谷ramagundam矿区2001 - 2021年土地利用/土地覆盖变化
煤炭是印度重要的主要能源之一,通常通过露天开采开采。然而,众所周知,煤炭开采活动,特别是露天采矿方法,会造成不利的环境影响,如植被损失、空气污染、地下水污染以及土地利用、土地覆盖(LULC)特征的变化。因此,需要有关于采矿活动影响的可靠的时间数据,以协助地雷的复垦和管理工作。本研究利用Google Earth Engine (GEE)和地理信息系统(GIS)对Ramagundam煤田(Pranhita-Godavari山谷的一部分)过去20年的LULC变化进行了评估。利用2001年和2021年云量<5%的Landsat 5和Landsat 8多光谱卫星数据对LULC进行分类。利用CART (classification and Regression Tree,分类回归树)分类器,在GEE中对拉曼干丹煤田的不同土地利用类别进行了分类,主要包括水体、植被、建筑物和矿区。研究表明,2001年至2021年间,采矿作业急剧增加。另一方面,由于一些有效的环境政策,由于贫瘠的土地变成了肥沃的土地,农业用地也增加了。这项研究将有助于决策者和环保人士了解该地区LULC特征变化的本质,从而制定相应的规划。基于GOOGLE EARTH ENGINE的印度南部RAMAGUNDAM矿区2001 - 2021年土地利用/土地覆盖变化评估
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