Journal
JOURNAL OF ENVIRONMENTAL MANAGEMENT
Volume 302, Issue -, Pages -Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2021.114067
Keywords
Deforestation; GIS; Google earth engine; Landsat; Mining activities; Remote sensing
Categories
Funding
- Indian Council of Social Science Research, Aruna Asaf Ali Marg, New Delhi [110067, IMPRESS/P876/39/18-19/ICSSR]
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The study revealed that mining activities have contributed significantly to forest cover loss in Odisha State, with Nabarangpur, Puri, Kendrapara, and Kalahandi districts experiencing the highest losses. Rayagada and Koraput were identified as the top two districts with the most severe forest cover loss.
Worldwide mining activities are one of the major anthropogenic activities that have caused high forest cover loss (FCL). In this study, we have quantified FCL in Odisha State due to mining activities analyzing Hansen Global Forest Change (HGFC) time series data for the period of 2001-2019 in Google Earth Engine platform. Our analysis suggests that Nabarangpur, Puri, Kendrapara, and Kalahandi districts lost more than 20% of their forest cover during this period. Rayagada and Koraput were the top two districts that recorded the highest FCL with mean change rates of 13.81 km(2)/year and 7.17 km(2)/year, respectively. The results point out that mining operations have grown in recent years in Odisha State, and the increase in these activities has contributed to the increase in FCL. This study offers a cost-effective methodology to monitor FCL in mining areas which will eventually contribute to the protection of forest biodiversity and forest dwelling tribal population.
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