IDENTIFYING AREAS AFFECTED BY FIRES IN SUMATRA BASED ON TIME SERIES OF REMOTELY SENSED FIRE HOTSPOTS AND SPATIAL MODELING
Wildfires threaten the environment not only at local scales, but also at wider scales. Rapid monitoring system to detect active wildfires has been provided by satellite remote sensing technology, particularly through the advancement on thermal infrared sensors. However, satellite-based fire hotspots...
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| Format: | Article |
| Language: | English |
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Bogor Agricultural University
2018-12-01
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| Series: | Journal of Natural Resources and Environmental Management |
| Subjects: | |
| Online Access: | https://journal.ipb.ac.id/index.php/jpsl/article/view/24760 |
| _version_ | 1797719095791058944 |
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| author | Yudi Setiawan Lilik Budi Prasetyo Hidayat Pawitan Prita Ayu Permatasari Desi Suyamto Arif Kurnia Wijayanto |
| author_facet | Yudi Setiawan Lilik Budi Prasetyo Hidayat Pawitan Prita Ayu Permatasari Desi Suyamto Arif Kurnia Wijayanto |
| author_sort | Yudi Setiawan |
| collection | DOAJ |
| description | Wildfires threaten the environment not only at local scales, but also at wider scales. Rapid monitoring system to detect active wildfires has been provided by satellite remote sensing technology, particularly through the advancement on thermal infrared sensors. However, satellite-based fire hotspots data, even at relatively high temporal resolution of less than one-day revisit period, such as time series of fire hotspots collected from TERRA and AQUA MODIS, do not tell exactly if they are fire ignitions or fire escapes, since other factors like wind, slope, and fuel biomass significantly drive the fire spread. Meanwhile, a number of biophysical fire simulation models have been developed, as tools to understand the roles of biophysical factors on the spread of wildfires. Those models explicitly incorporate effects of slope, wind direction, wind speed, and vegetative fuel on the spreading rate of surface fire from the ignition points across a fuel bed, based on either field or laboratory experiments. Nevertheless, none of those models have been implemented using real time fire data at relatively large extent areas. This study is aimed at incorporating spatially explicit time series data of weather (i.e. wind direction and wind speed), remotely sensed fuel biomass and remotely sensed fire hotspots, as well as incorporating more persistent biophysical factors (i.e. terrain), into an agent-based fire spread model, in order to identify fire ignitions within time series of remotely sensed fire hotspots. |
| first_indexed | 2024-03-12T08:59:48Z |
| format | Article |
| id | doaj.art-7fde17c92fa64e319146885445536d1a |
| institution | Directory Open Access Journal |
| issn | 2086-4639 2460-5824 |
| language | English |
| last_indexed | 2024-03-12T08:59:48Z |
| publishDate | 2018-12-01 |
| publisher | Bogor Agricultural University |
| record_format | Article |
| series | Journal of Natural Resources and Environmental Management |
| spelling | doaj.art-7fde17c92fa64e319146885445536d1a2023-09-02T15:44:05ZengBogor Agricultural UniversityJournal of Natural Resources and Environmental Management2086-46392460-58242018-12-018310.29244/jpsl.8.3.420-427IDENTIFYING AREAS AFFECTED BY FIRES IN SUMATRA BASED ON TIME SERIES OF REMOTELY SENSED FIRE HOTSPOTS AND SPATIAL MODELINGYudi Setiawan0Lilik Budi Prasetyo1Hidayat Pawitan2Prita Ayu Permatasari3Desi Suyamto4Arif Kurnia Wijayanto5Pusat Penelitian Lingkungan Hidup, Lembaga Penelitian dan Pengembangan kepada Masyarakat (PPLH-LPPM), Institut Pertanian Bogor, Kampus IPB Darmaga, Bogor 16680Departemen Konservasi Sumberdaya Hutan dan Ekowisata, Fakultas Kehutanan, Institut Pertanian Bogor, Kampus IPB Darmaga, Bogor 16680Departemen Geofisika dan Meteorologi, Fakultas Matematika dan Ilmu Pengetahuan Alam, Institut Pertanian Bogor, Kampus IPB Darmaga, Bogor 16680Pusat Penelitian Lingkungan Hidup, Lembaga Penelitian dan Pengembangan kepada Masyarakat (PPLH-LPPM), Institut Pertanian Bogor, Kampus IPB Darmaga, Bogor 16680Forests 2020 Collaborative Program, Fakultas Kehutanan, Institut Pertanian Bogor, Kampus IPB Darmaga, Bogor 16680Pusat Penelitian Lingkungan Hidup, Lembaga Penelitian dan Pengembangan kepada Masyarakat (PPLH-LPPM), Institut Pertanian Bogor, Kampus IPB Darmaga, Bogor 16680Wildfires threaten the environment not only at local scales, but also at wider scales. Rapid monitoring system to detect active wildfires has been provided by satellite remote sensing technology, particularly through the advancement on thermal infrared sensors. However, satellite-based fire hotspots data, even at relatively high temporal resolution of less than one-day revisit period, such as time series of fire hotspots collected from TERRA and AQUA MODIS, do not tell exactly if they are fire ignitions or fire escapes, since other factors like wind, slope, and fuel biomass significantly drive the fire spread. Meanwhile, a number of biophysical fire simulation models have been developed, as tools to understand the roles of biophysical factors on the spread of wildfires. Those models explicitly incorporate effects of slope, wind direction, wind speed, and vegetative fuel on the spreading rate of surface fire from the ignition points across a fuel bed, based on either field or laboratory experiments. Nevertheless, none of those models have been implemented using real time fire data at relatively large extent areas. This study is aimed at incorporating spatially explicit time series data of weather (i.e. wind direction and wind speed), remotely sensed fuel biomass and remotely sensed fire hotspots, as well as incorporating more persistent biophysical factors (i.e. terrain), into an agent-based fire spread model, in order to identify fire ignitions within time series of remotely sensed fire hotspots.https://journal.ipb.ac.id/index.php/jpsl/article/view/24760Forest fireactive firepeatlandagent-based model |
| spellingShingle | Yudi Setiawan Lilik Budi Prasetyo Hidayat Pawitan Prita Ayu Permatasari Desi Suyamto Arif Kurnia Wijayanto IDENTIFYING AREAS AFFECTED BY FIRES IN SUMATRA BASED ON TIME SERIES OF REMOTELY SENSED FIRE HOTSPOTS AND SPATIAL MODELING Journal of Natural Resources and Environmental Management Forest fire active fire peatland agent-based model |
| title | IDENTIFYING AREAS AFFECTED BY FIRES IN SUMATRA BASED ON TIME SERIES OF REMOTELY SENSED FIRE HOTSPOTS AND SPATIAL MODELING |
| title_full | IDENTIFYING AREAS AFFECTED BY FIRES IN SUMATRA BASED ON TIME SERIES OF REMOTELY SENSED FIRE HOTSPOTS AND SPATIAL MODELING |
| title_fullStr | IDENTIFYING AREAS AFFECTED BY FIRES IN SUMATRA BASED ON TIME SERIES OF REMOTELY SENSED FIRE HOTSPOTS AND SPATIAL MODELING |
| title_full_unstemmed | IDENTIFYING AREAS AFFECTED BY FIRES IN SUMATRA BASED ON TIME SERIES OF REMOTELY SENSED FIRE HOTSPOTS AND SPATIAL MODELING |
| title_short | IDENTIFYING AREAS AFFECTED BY FIRES IN SUMATRA BASED ON TIME SERIES OF REMOTELY SENSED FIRE HOTSPOTS AND SPATIAL MODELING |
| title_sort | identifying areas affected by fires in sumatra based on time series of remotely sensed fire hotspots and spatial modeling |
| topic | Forest fire active fire peatland agent-based model |
| url | https://journal.ipb.ac.id/index.php/jpsl/article/view/24760 |
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