New Approach Evaluating Peatland Fires in Indonesian Factors
Until 2018, the El Niño–Southern Oscillation (ENSO) was used as an explanation for fires in Indonesia’s peatlands. However, when the 2019 fires occurred independently of El Niño, more suitable indicators and methods were required to (a) analyze, (b) evaluate and (c) forecast peatland fires. In this...
| Autores principales: | , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/112091 |
| _version_ | 1855526123432050688 |
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| author | Hayasaka, H. Usup, A. Naito, D. |
| author_browse | Hayasaka, H. Naito, D. Usup, A. |
| author_facet | Hayasaka, H. Usup, A. Naito, D. |
| author_sort | Hayasaka, H. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Until 2018, the El Niño–Southern Oscillation (ENSO) was used as an explanation for fires in Indonesia’s peatlands. However, when the 2019 fires occurred independently of El Niño, more suitable indicators and methods were required to (a) analyze, (b) evaluate and (c) forecast peatland fires. In this study, we introduced the OLR–MC index—one of the rain-related indices derived from OLR (outgoing longwave radiation) in MC (maritime continent) area in Indonesia. This index showed stronger correlation with active peatland fires than the conventional ENSO index, and is likely to be able to respond to heat and dry weather supposed to be under climate-change conditions. We then analyzed peatland fires in the top six fire years from 2002 to 2018 and showed that peatland fires occurred in three stages—surface fire, shallow peatland fire and deep peatland fire. To explain each stage, we proposed a one-dimensional groundwater level (GWL) prediction model (named as MODEL-0). MODEL-0 predicts GWL from daily rainfall. Analysis using MODEL-0 showed the GWL thresholds for the three fire stages were between -300 mm and -500 mm; peatland fire activities during the three fire stages were dependent on these GWL values. The validity of MODEL-0 was shown by comparison with the measured values of GWL in the top three fire years. |
| format | Journal Article |
| id | CGSpace112091 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1120912024-06-26T09:37:07Z New Approach Evaluating Peatland Fires in Indonesian Factors Hayasaka, H. Usup, A. Naito, D. fire peatlands remote sensing methodology Until 2018, the El Niño–Southern Oscillation (ENSO) was used as an explanation for fires in Indonesia’s peatlands. However, when the 2019 fires occurred independently of El Niño, more suitable indicators and methods were required to (a) analyze, (b) evaluate and (c) forecast peatland fires. In this study, we introduced the OLR–MC index—one of the rain-related indices derived from OLR (outgoing longwave radiation) in MC (maritime continent) area in Indonesia. This index showed stronger correlation with active peatland fires than the conventional ENSO index, and is likely to be able to respond to heat and dry weather supposed to be under climate-change conditions. We then analyzed peatland fires in the top six fire years from 2002 to 2018 and showed that peatland fires occurred in three stages—surface fire, shallow peatland fire and deep peatland fire. To explain each stage, we proposed a one-dimensional groundwater level (GWL) prediction model (named as MODEL-0). MODEL-0 predicts GWL from daily rainfall. Analysis using MODEL-0 showed the GWL thresholds for the three fire stages were between -300 mm and -500 mm; peatland fire activities during the three fire stages were dependent on these GWL values. The validity of MODEL-0 was shown by comparison with the measured values of GWL in the top three fire years. 2020-06-26 2021-03-08T08:17:58Z 2021-03-08T08:17:58Z Journal Article https://hdl.handle.net/10568/112091 en Open Access MDPI Hayasaka, H., Usup, A., Naito, D. 2020. New Approach Evaluating Peatland Fires in Indonesian Factors. Remote Sensing, 12 (12): 2055. https://doi.org/10.3390/rs12122055 |
| spellingShingle | fire peatlands remote sensing methodology Hayasaka, H. Usup, A. Naito, D. New Approach Evaluating Peatland Fires in Indonesian Factors |
| title | New Approach Evaluating Peatland Fires in Indonesian Factors |
| title_full | New Approach Evaluating Peatland Fires in Indonesian Factors |
| title_fullStr | New Approach Evaluating Peatland Fires in Indonesian Factors |
| title_full_unstemmed | New Approach Evaluating Peatland Fires in Indonesian Factors |
| title_short | New Approach Evaluating Peatland Fires in Indonesian Factors |
| title_sort | new approach evaluating peatland fires in indonesian factors |
| topic | fire peatlands remote sensing methodology |
| url | https://hdl.handle.net/10568/112091 |
| work_keys_str_mv | AT hayasakah newapproachevaluatingpeatlandfiresinindonesianfactors AT usupa newapproachevaluatingpeatlandfiresinindonesianfactors AT naitod newapproachevaluatingpeatlandfiresinindonesianfactors |