{"title":"NDVI based Image Processing for Forest change Detection in Sathyamangalam Reserve Forest","authors":"Giridharan N, S. R","doi":"10.1109/ICTACS56270.2022.9988184","DOIUrl":null,"url":null,"abstract":"Forest is backbone of Earth's life. Recently, Remote Sensing (RS) and Geographic information system (GIS) techniques have detailed information on forest cover changes. The present work envisions that the changes in forest cover are investigated by the high-resolution satellite data (HRSD) with the help of Normalized Difference Vegetation Index (NDVI) based image processing technique in Sathyamangalam Forest, Erode District. The Multi-Temporal imagery-based six individual NDVI maps (2016 to 2021) were fixed using ArcGIS software. The importance of NDVI was performed to notice the changes in the forest cover region. The comprehensive study shows that the changes in forest cover deliberate from minimum to maximum immortal area with 197.17 sq. km (2016) and 364.19 sq. km (2021), respectively. Finally, this result predicts that sustainable growth needs to monitor for further development in the future.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTACS56270.2022.9988184","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
Forest is backbone of Earth's life. Recently, Remote Sensing (RS) and Geographic information system (GIS) techniques have detailed information on forest cover changes. The present work envisions that the changes in forest cover are investigated by the high-resolution satellite data (HRSD) with the help of Normalized Difference Vegetation Index (NDVI) based image processing technique in Sathyamangalam Forest, Erode District. The Multi-Temporal imagery-based six individual NDVI maps (2016 to 2021) were fixed using ArcGIS software. The importance of NDVI was performed to notice the changes in the forest cover region. The comprehensive study shows that the changes in forest cover deliberate from minimum to maximum immortal area with 197.17 sq. km (2016) and 364.19 sq. km (2021), respectively. Finally, this result predicts that sustainable growth needs to monitor for further development in the future.
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