{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T10:18:39Z","timestamp":1778149119642,"version":"3.51.4"},"reference-count":42,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2021,4,9]],"date-time":"2021-04-09T00:00:00Z","timestamp":1617926400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Wildfires significantly influence ecosystem patterns and processes on a global scale. In many cases, they pose a threat to human lives and property. Through greenhouse gas emissions, wildfires also directly contribute to climate change. The monitoring of such events and the analysis of acquired data is crucial for understanding wildfire and ecosystem interactions. The FireBIRD small satellite mission, operated by the German Aerospace Center (DLR), was specifically designed for the detection of wildfires. It features a higher spatial resolution than available with other Earth-observation systems. In addition to the detection of active fire locations, the system also allows the derivation of fire intensity by means of the Fire Radiative Power (FRP). This indicator can be used as a basis to derive the amount of emitted pollutant, which makes it valuable for climate studies. With the FireBIRD mission facing its end of life in 2021, this study retrospectively evaluates the performance of the system through an inter-comparison with data from two satellite missions of the National Aeronautics and Space Administration (NASA) and discusses the potential of such a system. The comparison is performed regarding both geometrical and radiometric aspects, the latter focusing on the FRP. This study uses and compares two different methods to derive the FRP from FireBIRD data. The data are analyzed regarding six major fire incidents in different regions of the world. The FireBIRD results are in accordance with the reference data, showing a geometrical overlapping rate of 83% and 84% regarding MODIS (Moderate-resolution Imaging Spectroradiometer) and VIIRS (Visible Infrared Imaging Radiometer Suite) overpasses in close temporal proximity. Furthermore, the results show a positive bias in FRP of about 11% compared to MODIS.<\/jats:p>","DOI":"10.3390\/rs13081459","type":"journal-article","created":{"date-parts":[[2021,4,12]],"date-time":"2021-04-12T05:52:00Z","timestamp":1618206720000},"page":"1459","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["The DLR FireBIRD Small Satellite Mission: Evaluation of Infrared Data for Wildfire Assessment"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6981-9730","authenticated-orcid":false,"given":"Michael","family":"Nolde","sequence":"first","affiliation":[{"name":"German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), M\u00fcnchener Str. 20, 82234 Oberpfaffenhofen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5793-052X","authenticated-orcid":false,"given":"Simon","family":"Plank","sequence":"additional","affiliation":[{"name":"German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), M\u00fcnchener Str. 20, 82234 Oberpfaffenhofen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8499-4780","authenticated-orcid":false,"given":"Rudolf","family":"Richter","sequence":"additional","affiliation":[{"name":"The Remote Sensing Technology Institute (IMF), M\u00fcnchener Str. 20, 82234 Oberpfaffenhofen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Doris","family":"Klein","sequence":"additional","affiliation":[{"name":"German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), M\u00fcnchener Str. 20, 82234 Oberpfaffenhofen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Torsten","family":"Riedlinger","sequence":"additional","affiliation":[{"name":"German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), M\u00fcnchener Str. 20, 82234 Oberpfaffenhofen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,4,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1126\/science.1163886","article-title":"Fire in the Earth system","volume":"324","author":"Bowman","year":"2009","journal-title":"Science"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"van Wees, D., and van der Werf, G. (2020, January 4\u20138). The contribution of fire to a global increase in forest loss. Proceedings of the EGU General Assembly Conference Abstracts, Vienna, Austria.","DOI":"10.5194\/egusphere-egu2020-18049"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Withey, K., Berenguer, E., Palmeira, A., Esp\u00edrito-Santo, F., Lennox, G., Silva, C., Arag\u00e3o, L., Ferreira, J., Fran\u00e7a, F., and Malhi, Y. (2018). Quantifying immediate carbon emissions from El Ni\u00f1o-mediated wildfires in humid tropical forests. Philos. Trans. R. Soc. B Biol. Sci., 373.","DOI":"10.1098\/rstb.2017.0312"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"9892","DOI":"10.1002\/2016JD025087","article-title":"Estimates of greenhouse gas and black carbon emissions from a major Australian wildfire with high spatiotemporal resolution","volume":"121","author":"Surawski","year":"2016","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_5","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_6","doi-asserted-by":"crossref","first-page":"4521","DOI":"10.1109\/TGRS.2019.2891394","article-title":"Solar Influence on Fire Radiative Power retrieved with the Bispectral Method","volume":"57","author":"Klein","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Halle, W., Asam, S., Borg, E., Fischer, C., Frauenberger, O., Lorenz, E., Klein, D., Nolde, M., Paproth, C., and Plank, S. (2018, January 22\u201327). FireBIRD\u2014Small satellite or wild fire assessment. Proceedings of the International Geoscience and Remote Sensing Symposium IGARSS, Valencia, Spain.","DOI":"10.1109\/IGARSS.2018.8519246"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Xu, W., Wooster, M.J., He, J., and Zhang, T. (2020). First study of Sentinel-3 SLSTR active fire detection and FRP retrieval: Night-time algorithm enhancements and global intercomparison to MODIS and VIIRS AF products. Remote Sens. Environ., 248.","DOI":"10.1016\/j.rse.2020.111947"},{"key":"ref_9","unstructured":"European Space Agency (ESA) (2021, May 25). ESA Sentinel-3 World Fires Atlas Prototype. Available online: https:\/\/s3worldfireatlas.esa.int."},{"key":"ref_10","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."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Li, F., Zhang, X., and Kondragunta, S. (2020). Biomass burning in Africa: An investigation of fire radiative power missed by MODIS using the 375 m VIIRS active fire product. Remote Sens., 12.","DOI":"10.3390\/rs12101561"},{"key":"ref_12","unstructured":"Giglio, L., and Justice, C. (2015). MOD14A1 MODIS\/Terra Thermal Anomalies\/Fire Daily L3 Global 1km SIN Grid V006 [Data Set]."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Di Traglia, F., Calvari, S., D\u2019Auria, L., Nolesini, T., Bonaccorso, A., Fornaciai, A., Esposito, A., Cristaldi, A., Favalli, M., and Casagli, N. (2018). The 2014 effusive eruption at Stromboli: New insights from in situ and remote-sensing measurements. Remote Sens., 10.","DOI":"10.3390\/rs10122035"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Plank, S., Nolde, M., Richter, R., Fischer, C., Martinis, S., Riedlinger, T., Schoepfer, E., and Klein, D. (2018). Monitoring of the 2015 Villarrica volcano eruption by means of DLR\u2019s experimental TET-1 satellite. Remote Sens., 10.","DOI":"10.3390\/rs10091379"},{"key":"ref_15","unstructured":"Schroeder, W., and Giglio, L. (2018). VIIRS\/NPP Thermal Anomalies\/Fire Daily L3 Global 1km SIN Grid V001 [Data Set]."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.rse.2011.09.033","article-title":"Sentinel-3 SLSTR active fire detection and FRP product: Pre-launch algorithm development and performance evaluation using MODIS and ASTER datasets","volume":"120","author":"Wooster","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_17","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_18","unstructured":"National Aeronautics and Space Administration (NASA) (2021, February 01). Fire Information for Resource Management System (FIRMS), Available online: https:\/\/firms.modaps.eosdis.nasa.gov."},{"key":"ref_19","unstructured":"German Aerospace Center (DLR) (2021, February 02). FireBIRD\u2014A DLR Satellite System for Forest Fires and Early Fire Detection. German Aerospace Center (DLR) e.V., Oberpfaffenhofen-Wessling. Available online: https:\/\/www.dlr.de\/firebird\/PortalData\/79\/Resources\/dokumente\/FireBIRD_Broschuere_HighRes_v3_english.pdf."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Atwood, E.C., Englhart, S., Lorenz, E., Halle, W., Wiedemann, W., and Siegert, F. (2016). Detection and characterization of low temperature peat fires during the 2015 fire catastrophe in Indonesia using a new high-sensitivity fire monitoring satellite sensor (FireBird). PLoS ONE, 11.","DOI":"10.1371\/journal.pone.0159410"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1177","DOI":"10.5194\/isprsarchives-XL-7-W3-1177-2015","article-title":"Data Validation and Case Studies using the TET-1 Thermal Infrared Satellite System","volume":"XL-7\/W3","author":"Fischer","year":"2015","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"7966","DOI":"10.1002\/2015GL065564","article-title":"The ASTER Global Emissivity Dataset (ASTER GED): Mapping Earth\u2019s emissivity at 100 meter spatial scale","volume":"42","author":"Hulley","year":"2015","journal-title":"Geophys. Res. Lett."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1016\/0034-4257(94)90102-3","article-title":"Emissivity of terrestrial materials in the 3 \u03bcm to 5 \u03bcm atmospheric window","volume":"47","author":"Salisbury","year":"1994","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1947","DOI":"10.1080\/014311699212290","article-title":"Evaluation of global fire detection algorithms using simulated AVHRR infrared data","volume":"20","author":"Giglio","year":"1999","journal-title":"Int. J. Remote Sens."},{"key":"ref_25","unstructured":"Gao, B.-C., and Kaufman, Y.J. (1998). Algorithm Technical Background Document. The MODIS Near-IR Water Vapor Algorithm Product ID: MOD05-Total Precipitable Water, Naval Research Laboratory. Remote Sensing Division, Code 7212."},{"key":"ref_26","unstructured":"National Aeronautics and Space Administration (NASA) (2021, February 03). ASTER Global Digital Elevation Map Announcement, Available online: https:\/\/asterweb.jpl.nasa.gov\/gdem.asp."},{"key":"ref_27","unstructured":"Berk, A., Hawes, F., van den Bosch, J., and Anderson, G.P. (2016). MODTRAN5.4.0 User\u2019s Manual, Spectral Sciences Inc."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.rse.2005.09.019","article-title":"Space-borne detection and characterization of fires during the bi-spectral infrared detection (BIRD) experimental small satellite mission (2001\u20132004)","volume":"100","author":"Zhukov","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_29","unstructured":"Uber Engineering (2021, February 04). H3: Uber\u2019s Hexagonal Hierarchical Spatial Index. Brodsky, I.\/Uber Engineering. Available online: https:\/\/eng.uber.com\/h3\/."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Plank, S., and Martinis, S. (2018). A fully automatic burnt area mapping processor based on AVHRR imagery\u2014A timeline thematic processor. Remote Sens., 10.","DOI":"10.3390\/rs10020341"},{"key":"ref_31","unstructured":"Khalip, A. (2016). Fires Kill 4 People in Portugal, 1000 Evacuated on Madeira, Thomson Reuters. Available online: https:\/\/www.reuters.com\/article\/us-portugal-wildfires-idUSKCN10L0W7."},{"key":"ref_32","unstructured":"Center for Satellite-Based Crisis Information (ZKI) (2016). DLR FireBIRD Mission Provides Data of Recent Fires in Portugal, ZKI\/DLR. Available online: https:\/\/activations.zki.dlr.de\/de\/activations\/items\/ACT129.html."},{"key":"ref_33","unstructured":"Amichai, A. (2016). Wildfires Tear Across Israel, Netanyahu Calls Arsonists \u2018Terrorists\u2019, Thomson Reuters. Available online: https:\/\/www.reuters.com\/article\/us-israel-fires-idUSKBN13J0YJ."},{"key":"ref_34","unstructured":"Center for Satellite-Based Crisis Information (ZKI) (2016). DLR FireBIRD Mission Provides Data of Recent Fires in Israel and the West Bank, ZKI\/DLR. Available online: https:\/\/activations.zki.dlr.de\/de\/activations\/items\/ACT131.html."},{"key":"ref_35","unstructured":"Esposito, A. (2017). Chile Declares State of Emergency Due to Massive Wildfires, Thomson Reuters. Available online: https:\/\/www.reuters.com\/article\/us-chile-wildfire-idUSKBN1542XI."},{"key":"ref_36","unstructured":"Center for Satellite-Based Crisis Information (ZKI) (2017). Fire Disaster in Chile\u2014ZKI Uses FireBIRD to Deliver Situational Information, ZKI\/DLR. Available online: https:\/\/activations.zki.dlr.de\/de\/activations\/items\/ACT133.html."},{"key":"ref_37","unstructured":"Vercammen, P. (2017). Southern California Fires Growing Quickly, Forcing Thousands to Evacuate, CNN. Available online: https:\/\/edition.cnn.com\/2017\/12\/05\/us\/ventura-county-fire-california\/index.html."},{"key":"ref_38","unstructured":"Center for Satellite-Based Crisis Information (ZKI) (2017). FireBIRD Monitors Forest Fires in California, ZKI\/DLR. Available online: https:\/\/activations.zki.dlr.de\/de\/activations\/items\/act137.html."},{"key":"ref_39","unstructured":"British Broadcasting Corporation (BBC) (2018). California Wildfire Declared \u2018Largest in State\u2019s History\u2019, BBC. Available online: https:\/\/www.bbc.com\/news\/world-us-canada-45093636."},{"key":"ref_40","unstructured":"Center for Satellite-Based Crisis Information (ZKI) (2018). Fire Disaster in California\u2014DLR Supports with FireBIRD Data, ZKI\/DLR. Available online: https:\/\/activations.zki.dlr.de\/de\/activations\/items\/ACT139.html."},{"key":"ref_41","unstructured":"Green, M. (2020). Australia\u2019s Massive Fires Could Become Routine, Climate Scientists Warn, Thomson Reuters. Available online: https:\/\/www.reuters.com\/article\/us-climate-change-australia-report\/australias-massive-fires-could-become-routine-climate-scientists-warn-idUSKBN1ZD06W."},{"key":"ref_42","unstructured":"Center for Satellite-Based Crisis Information (ZKI) (2019). FireBIRD Monitors Fires in Australia, ZKI\/DLR. Available online: https:\/\/www.dlr.de\/eoc\/de\/desktopdefault.aspx\/tabid-13297\/23615_read-59537."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/8\/1459\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T13:26:40Z","timestamp":1760362000000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/8\/1459"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,9]]},"references-count":42,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2021,4]]}},"alternative-id":["rs13081459"],"URL":"https:\/\/doi.org\/10.3390\/rs13081459","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4,9]]}}}