{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T23:45:49Z","timestamp":1783813549764,"version":"3.55.0"},"reference-count":25,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2022,5,26]],"date-time":"2022-05-26T00:00:00Z","timestamp":1653523200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Smartsat CRC Real Time Fire Analytics"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/rs14112540","type":"journal-article","created":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T00:25:12Z","timestamp":1653956712000},"page":"2540","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Fire Radiative Power (FRP) Values for Biogeographical Region and Individual Geostationary HHMMSS Threshold (BRIGHT) Hotspots Derived from the Advanced Himawari Imager (AHI)"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2984-8959","authenticated-orcid":false,"given":"Chermelle B.","family":"Engel","sequence":"first","affiliation":[{"name":"Geospatial Science, School of Science, STEM College, RMIT University, Melbourne, VIC 3000, Australia"},{"name":"Smartsat Cooperative Research Centre, c\/-Eleanor Harrald Building, Lot Fourteen, Frome Rd, Adelaide, SA 5000, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3914-3717","authenticated-orcid":false,"given":"Simon D.","family":"Jones","sequence":"additional","affiliation":[{"name":"Geospatial Science, School of Science, STEM College, RMIT University, Melbourne, VIC 3000, Australia"},{"name":"Smartsat Cooperative Research Centre, c\/-Eleanor Harrald Building, Lot Fourteen, Frome Rd, Adelaide, SA 5000, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4333-2315","authenticated-orcid":false,"given":"Karin J.","family":"Reinke","sequence":"additional","affiliation":[{"name":"Geospatial Science, School of Science, STEM College, RMIT University, Melbourne, VIC 3000, Australia"},{"name":"Smartsat Cooperative Research Centre, c\/-Eleanor Harrald Building, Lot Fourteen, Frome Rd, Adelaide, SA 5000, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1071\/WF07049","article-title":"Fire intensity, fire severity and burn severity: A brief review and suggested usage","volume":"18","author":"Keeley","year":"2009","journal-title":"Int. J. Wildland Fire"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Goldammer, J.G. (1990). Remote Sensing of Biomass Burning in the Tropics. Fire in the Tropical Biota, Springer.","DOI":"10.1007\/978-3-642-75395-4"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"151","DOI":"10.2151\/jmsj.2016-009","article-title":"An introduction to Himawari 8\/9\u2014Japan\u2019s New-Generation Geostationary Meteorological Satellites","volume":"94","author":"Bessho","year":"2016","journal-title":"J. Meteorol. Soc. Jpn."},{"key":"ref_4","unstructured":"(2021, June 11). Himawari-8 Wild Fire Product. Available online: https:\/\/www.eorc.jaxa.jp\/ptree\/documents\/README_H08_L2WLF.txt."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1016\/j.rse.2017.02.024","article-title":"Major advances in geostationary fire radiative power (FRP) retrieval over Asia and Australia stemming from use of Himawari-8 AHI","volume":"193","author":"Xu","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"4947","DOI":"10.1109\/TGRS.2020.3018455","article-title":"A Seasonal-Window Ensemble-Based Thresholding Technique Used to Detect Active Fires in Geostationary Remotely Sensed Data","volume":"59","author":"Engel","year":"2021","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Engel, C.B., Jones, S.D., and Reinke, K.J. (2021). Real-Time Detection of Daytime and Night-Time Fire Hotspots from Geostationary Satellites. Remote Sens., 13.","DOI":"10.3390\/rs13091627"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/0034-4257(81)90021-3","article-title":"A Method for Satellite Identification of Surface Temperature Fields of Subpixel Resolution","volume":"11","author":"Dozier","year":"1981","journal-title":"Remote Sens. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Wooster, M.J., Roberts, G., Perry, G.L.W., and Kaufman, Y.J. (2005). Retrieval of biomass combustion rates and totals from fire radiative power observations: FRP derivation and calibration relationships between biomass consumption and fire radiative energy release. J. Geophys. Res., 110.","DOI":"10.1029\/2005JD006318"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"32215","DOI":"10.1029\/98JD01644","article-title":"Potential global fire monitoring from EOS-MODIS","volume":"103","author":"Kaufman","year":"1998","journal-title":"J. Geophys. Res."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/S0034-4257(03)00070-1","article-title":"Fire radiative energy for quantitative study of biomass burning: Derivation from the BIRD experimental satellite and comparison to MODIS fire products","volume":"86","author":"Wooster","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.rse.2016.02.054","article-title":"The collection 6 MODIS active fire detection algorithm and fire products","volume":"178","author":"Giglio","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_13","unstructured":"Schroeder, W., and Giglio, L. (2021, August 30). Visible Infrared Imaging Radiometer Suite (VIIRS) 750 m Active Fire Detection and Characterization Algorithm Theoretical Basis Document 1.0, Available online: https:\/\/lpdaac.usgs.gov\/documents\/133\/VNP14_ATBD.pdf."},{"key":"ref_14","unstructured":"Schroeder, W., and Giglio, L. (2021, August 30). NASA VIIRS Land Science Investigator Processing System (SIPS) Visible Infrared Imaging Radiometer Suite (VIIRS) 375 m & 750 m Active Fire Products Product User\u2019s Guide Version 1.4, Available online: https:\/\/lpdaac.usgs.gov\/documents\/427\/VNP14_User_Guide_V1.pdf."},{"key":"ref_15","unstructured":"Schmidt, C.S., Hoffman, J., Prins, E.M., and Lindstrom, S. (2018, October 02). GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for Fire\/Hot Spot Characterization, Available online: https:\/\/www.star.nesdis.noaa.gov\/goesr\/docs\/ATBD\/Fire.pdf."},{"key":"ref_16","first-page":"101928","article-title":"Validation of GOES-16 ABI and MSG SEVIRI active fire products","volume":"83","author":"Hall","year":"2019","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"13217","DOI":"10.5194\/acp-15-13217-2015","article-title":"LSA SAF Meteosat FRP products\u2014Part 1: Algorithms, product contents, and analysis","volume":"15","author":"Wooster","year":"2015","journal-title":"Atmos. Chem. Phys"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.rse.2013.12.008","article-title":"The New VIIRS 375 m active fire detection data product: Algorithm description and initial assessment","volume":"143","author":"Schroeder","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_19","unstructured":"(2021, June 11). Himawari-8 Spectral Response Functions, Available online: https:\/\/www.data.jma.go.jp\/mscweb\/en\/himawari89\/space_segment\/srf_201309\/AHI-08_SpectralResponsivity.zip."},{"key":"ref_20","unstructured":"(2021, June 24). MODIS Channel Number 21 Spectral Response Function. Available online: https:\/\/nwp-saf.eumetsat.int\/downloads\/rtcoef_rttov13\/ir_srf\/rtcoef_eos_2_modis_srf\/rtcoef_eos_2_modis_srf_ch21.txt."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/S0034-4257(03)00184-6","article-title":"An Enhanced Contextual Fire Detection Algorithm for MODIS","volume":"87","author":"Giglio","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"044029","DOI":"10.1088\/1748-9326\/abeb9e","article-title":"The 2019\/2020 mega-fires exposed Australian ecosystems to an unprecedented extent of high-severity fire","volume":"16","author":"Collins","year":"2021","journal-title":"Environ. Res. Lett."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2019.111600","article-title":"A preliminary evaluation of GOES-16 active fire product using Landsat-8 and VIIRS active fire data, and ground-based prescribed fire records","volume":"237","author":"Li","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"e2020GL090707","DOI":"10.1029\/2020GL090707","article-title":"High Temporal Resolution Satellite Observations of Fire Radiative Power Reveal Link Between Fire Behavior and Aerosol and Gas Emissions","volume":"47","author":"Wiggins","year":"2020","journal-title":"Geophys. Res. Lett."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"4545","DOI":"10.1029\/2017JD027823","article-title":"Comparison of Fire Radiative Power Estimates from VIIRS and MODIS Observations","volume":"123","author":"Li","year":"2018","journal-title":"J. Geophys. Res. Atmos."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/11\/2540\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:19:00Z","timestamp":1760138340000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/11\/2540"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,26]]},"references-count":25,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2022,6]]}},"alternative-id":["rs14112540"],"URL":"https:\/\/doi.org\/10.3390\/rs14112540","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,26]]}}}