Associate Professor, Kalindi College,University of Delhi, East Patel Nagar, New Delhi 110008
Abstract
Forest fire is important ecological stress caused by climate change and related global warming. The frequency and severity of forest fires are anticipated to have a significant impact on the characteristics of tropical forests. The forest areas in Uttarakhand are often affected by fires results ina high ecological loss. Identification of forest fire hotspot areas and related management is a prerequisite of forest fire management. The objective of this study is to map the burn severity in the summer times of 2016 and 2017 for the Almora and Bageshwar districts of the Chamoli division in Uttarakhand. Remote Sensing Indices such as Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) are used for burn severity classification and vegetation analysis respectively. The result showed that, compared to pre-fire NDVI, the average NDVI Value of Post-Time Fire was lowwhich indicates a change in vegetation cover especially in moderate to high burned areas. The result also indicates a weak inverse relationship between NDVI and LST, but it was moderate weak to moderate, overall in the study area. The study concludes overall moderate to strong correlation, between LST and NBR in both pre-fire and post-fire NBR
Sahdev, S. (2021). Forest Fire Severity Mapping Of Humid Tropical Regions: A Geospatial Perspective. Int. J. of Aquatic Science, 12(2), 1420-1431.
MLA
Seema Sahdev. "Forest Fire Severity Mapping Of Humid Tropical Regions: A Geospatial Perspective". Int. J. of Aquatic Science, 12, 2, 2021, 1420-1431.
HARVARD
Sahdev, S. (2021). 'Forest Fire Severity Mapping Of Humid Tropical Regions: A Geospatial Perspective', Int. J. of Aquatic Science, 12(2), pp. 1420-1431.
VANCOUVER
Sahdev, S. Forest Fire Severity Mapping Of Humid Tropical Regions: A Geospatial Perspective. Int. J. of Aquatic Science, 2021; 12(2): 1420-1431.