Fire Radiative Power (FRP) Values for Biogeographical Region and Individual Geostationary HHMMSS Threshold (BRIGHT) Hotspots Derived from the Advanced Himawari Imager (AHI)
The purpose of this research was to derive and evaluate fire radiative power (FRP) values for real-time Biogeographical Region and Individual Geostationary HHMMSS Threshold (BRIGHT)/Advanced Himawari Imager (AHI) hotspots. While BRIGHT/AHI hotspots with 2 km nominal resolution are available every 10...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/11/2540 |
| _version_ | 1797491898677460992 |
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| author | Chermelle B. Engel Simon D. Jones Karin J. Reinke |
| author_facet | Chermelle B. Engel Simon D. Jones Karin J. Reinke |
| author_sort | Chermelle B. Engel |
| collection | DOAJ |
| description | The purpose of this research was to derive and evaluate fire radiative power (FRP) values for real-time Biogeographical Region and Individual Geostationary HHMMSS Threshold (BRIGHT)/Advanced Himawari Imager (AHI) hotspots. While BRIGHT/AHI hotspots with 2 km nominal resolution are available every 10 min, they are without FRP values. Here, we present a method to calculate FRP values for BRIGHT/AHI hotspots and compute them over a 12-month period, day and night. FRP distributions from BRIGHT/AHI hotspots and coincident Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) hotspots are compared to assess relative agreement, with the distributions found to be broadly similar. Nuanced differences between the sensor FRP values were explored highlighting the need for a deeper understanding of the fire detection and FRP algorithms when doing intercomparisons. Notwithstanding the complexities of FRP intercomparisons, the computationally simple BRIGHT/AHI FRP definition allows for fast and real-time reporting of BRIGHT/AHI hotspots FRP. |
| first_indexed | 2024-03-10T00:55:52Z |
| format | Article |
| id | doaj.art-8c0c89f440fc49acb7fa0b625bed1855 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T00:55:52Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-8c0c89f440fc49acb7fa0b625bed18552023-11-23T14:43:24ZengMDPI AGRemote Sensing2072-42922022-05-011411254010.3390/rs14112540Fire Radiative Power (FRP) Values for Biogeographical Region and Individual Geostationary HHMMSS Threshold (BRIGHT) Hotspots Derived from the Advanced Himawari Imager (AHI)Chermelle B. Engel0Simon D. Jones1Karin J. Reinke2Geospatial Science, School of Science, STEM College, RMIT University, Melbourne, VIC 3000, AustraliaGeospatial Science, School of Science, STEM College, RMIT University, Melbourne, VIC 3000, AustraliaGeospatial Science, School of Science, STEM College, RMIT University, Melbourne, VIC 3000, AustraliaThe purpose of this research was to derive and evaluate fire radiative power (FRP) values for real-time Biogeographical Region and Individual Geostationary HHMMSS Threshold (BRIGHT)/Advanced Himawari Imager (AHI) hotspots. While BRIGHT/AHI hotspots with 2 km nominal resolution are available every 10 min, they are without FRP values. Here, we present a method to calculate FRP values for BRIGHT/AHI hotspots and compute them over a 12-month period, day and night. FRP distributions from BRIGHT/AHI hotspots and coincident Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) hotspots are compared to assess relative agreement, with the distributions found to be broadly similar. Nuanced differences between the sensor FRP values were explored highlighting the need for a deeper understanding of the fire detection and FRP algorithms when doing intercomparisons. Notwithstanding the complexities of FRP intercomparisons, the computationally simple BRIGHT/AHI FRP definition allows for fast and real-time reporting of BRIGHT/AHI hotspots FRP.https://www.mdpi.com/2072-4292/14/11/2540thermal anomalyfire intensityreal-time |
| spellingShingle | Chermelle B. Engel Simon D. Jones Karin J. Reinke Fire Radiative Power (FRP) Values for Biogeographical Region and Individual Geostationary HHMMSS Threshold (BRIGHT) Hotspots Derived from the Advanced Himawari Imager (AHI) Remote Sensing thermal anomaly fire intensity real-time |
| title | Fire Radiative Power (FRP) Values for Biogeographical Region and Individual Geostationary HHMMSS Threshold (BRIGHT) Hotspots Derived from the Advanced Himawari Imager (AHI) |
| title_full | Fire Radiative Power (FRP) Values for Biogeographical Region and Individual Geostationary HHMMSS Threshold (BRIGHT) Hotspots Derived from the Advanced Himawari Imager (AHI) |
| title_fullStr | Fire Radiative Power (FRP) Values for Biogeographical Region and Individual Geostationary HHMMSS Threshold (BRIGHT) Hotspots Derived from the Advanced Himawari Imager (AHI) |
| title_full_unstemmed | Fire Radiative Power (FRP) Values for Biogeographical Region and Individual Geostationary HHMMSS Threshold (BRIGHT) Hotspots Derived from the Advanced Himawari Imager (AHI) |
| title_short | Fire Radiative Power (FRP) Values for Biogeographical Region and Individual Geostationary HHMMSS Threshold (BRIGHT) Hotspots Derived from the Advanced Himawari Imager (AHI) |
| title_sort | fire radiative power frp values for biogeographical region and individual geostationary hhmmss threshold bright hotspots derived from the advanced himawari imager ahi |
| topic | thermal anomaly fire intensity real-time |
| url | https://www.mdpi.com/2072-4292/14/11/2540 |
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