Forest Cover Change Detection of Sahyadri Ranges, India

2022 IEEE Pune Section International Conference (PuneCon) Pub Date : 2022-12-15 DOI:10.1109/PuneCon55413.2022.10014870

Jyoti Madake, Bhavin Shah, Mihir Rakhonde, Mohit Ramdham, S. Bhatlawande, S. Shilaskar

{"title":"Forest Cover Change Detection of Sahyadri Ranges, India","authors":"Jyoti Madake, Bhavin Shah, Mihir Rakhonde, Mohit Ramdham, S. Bhatlawande, S. Shilaskar","doi":"10.1109/PuneCon55413.2022.10014870","DOIUrl":null,"url":null,"abstract":"One of the eight most significant biodiversity hotspots, the Western Ghats of India extend from the western coast of Peninsular India inland. This paper details the use of satellite data and remote sensing techniques to investigate potential hotspots for detecting shifts in forest cover. Satellite images are important for enhancing the analysis of a large area due to their higher spectral resolution. This study includes the forest cover change in the western ghats of India from 2014 to 2022. Sahyadri ranges or western ghats are one of the most verdant and densely forested mountain ranges in India; hence, even a little shift in flora can aid in deciphering and predicting numerous topographical changes. We have utilized the Normalized Difference Vegetation Index (NDVI) for determining vegetation in a particular patch of land. The forest land cover classification has been done on into three categories like low, moderate, high vegetation as well as bare areas, and tropical forests. We evaluated the values of NDVI of every image of the dataset from 2014 to 2022 to determine the definitive change in the forest cover.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Pune Section International Conference (PuneCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PuneCon55413.2022.10014870","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

One of the eight most significant biodiversity hotspots, the Western Ghats of India extend from the western coast of Peninsular India inland. This paper details the use of satellite data and remote sensing techniques to investigate potential hotspots for detecting shifts in forest cover. Satellite images are important for enhancing the analysis of a large area due to their higher spectral resolution. This study includes the forest cover change in the western ghats of India from 2014 to 2022. Sahyadri ranges or western ghats are one of the most verdant and densely forested mountain ranges in India; hence, even a little shift in flora can aid in deciphering and predicting numerous topographical changes. We have utilized the Normalized Difference Vegetation Index (NDVI) for determining vegetation in a particular patch of land. The forest land cover classification has been done on into three categories like low, moderate, high vegetation as well as bare areas, and tropical forests. We evaluated the values of NDVI of every image of the dataset from 2014 to 2022 to determine the definitive change in the forest cover.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

印度Sahyadri山脉森林覆盖变化检测

印度西高止山脉是八大生物多样性热点地区之一，从印度半岛的西海岸向内陆延伸。本文详细介绍了利用卫星数据和遥感技术调查森林覆盖变化探测的潜在热点。由于卫星图像具有较高的光谱分辨率，因此对增强对大面积的分析非常重要。本研究包括2014年至2022年印度西部高止山脉的森林覆盖变化。萨亚德里山脉或西部高顶山脉是印度最苍翠、森林最茂密的山脉之一;因此，即使是植物区系的微小变化也可以帮助破译和预测许多地形变化。我们利用归一化植被指数(NDVI)来确定特定斑块上的植被。森林土地覆盖被划分为低、中、高植被和光秃秃地区以及热带森林三类。我们评估了2014年至2022年数据集每张图像的NDVI值，以确定森林覆盖的最终变化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

2022 IEEE Pune Section International Conference (PuneCon)

自引率

0.00%

发文量