2019
DOI: 10.1007/s10661-019-7695-6
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Identification and characterization of spatio-temporal hotspots of forest fires in South Asia

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Cited by 59 publications
(30 citation statements)
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“…Uttarkhand is the youngest mountain region of the Himalayas, mainly experiencing annual forest res, which have worsened during our study period, especially in the year 2016 68 . In a study, the highest concentration of emerging intensi ed re hotspots is found in the northeast and central India, which is substantiated by our results 69 . Shrubland res are frequently observed in the regions of Telangana, Himachal, Jammu& Kashmir, Bihar, and Tamil Nadu.…”
Section: A Regional Analysis Of Emissions a Geospatial Analysissupporting
confidence: 87%
“…Uttarkhand is the youngest mountain region of the Himalayas, mainly experiencing annual forest res, which have worsened during our study period, especially in the year 2016 68 . In a study, the highest concentration of emerging intensi ed re hotspots is found in the northeast and central India, which is substantiated by our results 69 . Shrubland res are frequently observed in the regions of Telangana, Himachal, Jammu& Kashmir, Bihar, and Tamil Nadu.…”
Section: A Regional Analysis Of Emissions a Geospatial Analysissupporting
confidence: 87%
“…Not only natural wildfires but also intentional burning to remove weeds for agriculture may trigger extensive fires. In Southeast Asia, 50% of forests were affected by fire from 2003 to 2017 (Reddy et al 2019). The area of forest fires increased 36-fold in the Amazon region from 1984 to 2016 (da Silva et al 2018).…”
Section: Wildfire and Intentional Burningmentioning
confidence: 99%
“…GIS analysis is advantageous in classifying burned areas spatially. Spatial analysis can determine fire density and repeatedly burned areas [44]. e spatial analysis helps determine priority areas in handling forest and land fires [45].…”
Section: Burned Area Density In South Kalimantanmentioning
confidence: 99%