Identifying forest loss areas using google earth engine coding system in Keonjhar, Odisha, India
- Publication Type:
- Conference Proceeding
- Proceedings - 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, 2018, 2 pp. 856 - 863
- Issue Date:
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
© 2018 Proceedings - 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018 Keonjhar district of Odisha is famous for iron and manganese rich minerals according to the directorate of mines, Govt of Odisha. The district is the home to 45.4% of tribal people. However, depletion of forest, increase of wastelands and loss of grazing fields are the major problems for the district. Therefore, the main reason for these changes are mining activity in Keonjhar that is inclusively affecting the tribal livelihood system as well as health. Direct impact of the forest loss is lowering assess of nutrition to the tribal people. Therefore, researchers have not attended any effective research to identifying the areas of forest loss in Keonjhar. Therefore, we have made a reliable attempt by using the google earth engine coding for the identification of forest loss and gain areas in Keonjhar. We have used the Hansen global forest change data of 2014 and 2017 for the analysis. To the end, we identified the regions of forest loss as well as gain. Our results show that there is no forest gain from 2014 to 2017 where the loss is very high. In general, these forest changes were due to mining activity and unusual logging activity.
Please use this identifier to cite or link to this item: