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Towards a study of fire occurrences in Indonesia
Susandi A.a, Tamamadin M.a, Wijaya A.R.a, Pratama A.F.a, Faisal I.a, Pratama A.a, Widiawan D.A.a
a Department of Meteorology, Faculty of Earth Sciences and Technologies, Institut Teknologi Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2020 IOP Publishing Ltd. All rights reserved.In the past 5 years, the issue of forest and peatland fires in Indonesia has received a major concern from various parties. As one of the prevention efforts, the Government of Indonesia seeks to prevent the ignition of forest and peatland fires both anthropogenic and naturally as a result of prolonged drought. These efforts could be carried out well through the implementation of remote sensing observations and through predictive technology on the position of the hotspot. However, it should be noted that historical data that have been used in those predictive technology on these hotspots are not yet verified and validated with fire occurrences and burned area footprints. Therefore, in this study, verification of historical fires hotspot will be conducted with the occurrence of wildfires based on land use satellite imagery to validate the events. This verification test will use overlay and spatial statistical methods. based on the results of the verification test, a number of hotspots were found that were not in accordance with the incidence of forest fires especially in some area that neared agricultural area and factories. Thus, in the implementation of the use of hotspot data for predictions of forest fires, it is necessary to verify the suitability of the land and the incidence of forest fires.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Agricultural areas,Burned areas,Fire occurrences,Forest fires,Historical data,Hotspots,Indonesia,Verification tests[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]The Authors thank for Institut Teknologi Bandung for supporting the authors by funding program of P3MI under the titled “Kajian Pola Spasial Kejadian Kebakaran Hutan di Indonesia”, also the author said thank you for LPDP and NEWTON (RCUK) with joint international funding of Project entitled with “Towards Fire Early Warning System in Indonesia” under the contract number: NE/P014801/1.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1088/1755-1315/500/1/012017[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]