{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T09:43:02Z","timestamp":1784713382649,"version":"3.55.0"},"reference-count":71,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2020,9,4]],"date-time":"2020-09-04T00:00:00Z","timestamp":1599177600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41661144007"],"award-info":[{"award-number":["41661144007"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41675022"],"award-info":[{"award-number":["41675022"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41375148"],"award-info":[{"award-number":["41375148"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41375030"],"award-info":[{"award-number":["41375030"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the \u201cHundred Talents Program\u201d of the Chinese Academy of Sciences, the Jiangsu Provincial 2011 Program (Collaborative Innovation Center of Climate Change), and the Hefei Institute of Physical Science","award":["2014FXZY007"],"award-info":[{"award-number":["2014FXZY007"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Fire omission and commission errors, and the accuracy of fire radiative power (FRP) from satellite moderate-resolution impede the studies on fire regimes and FRP-based fire emissions estimation. In this study, we compared the accuracy between the extensively used 1-km fire product of MYD14 from the Moderate Resolution Imaging Spectroradiometer (MODIS) and the 375-m fire product of VNP14IMG from the Visible Infrared Imaging Radiometer Suite (VIIRS) in Northeastern Asia using data from 2012\u20132017. We extracted almost simultaneous observation of fire detection and FRP from MODIS-VIIRS overlapping orbits from the two fire products, and identified and removed duplicate fire detections and corresponding FRP in each fire product. We then compared the performance of the two products between forests and low-biomass lands (croplands, grasslands, and herbaceous vegetation). Among fire pixels detected by VIIRS, 65% and 83% were missed by MODIS in forests and low-biomass lands, respectively; whereas associated omission rates by VIIRS for MODIS fire pixels were 35% and 53%, respectively. Commission errors of the two fire products, based on the annual mean measurements of burned area by Landsat, decreased with increasing FRP per fire pixel, and were higher in low-biomass lands than those in forests. Monthly total FRP from MODIS was considerably lower than that from VIIRS due to more fire omission by MODIS, particularly in low-biomass lands. However, for fires concurrently detected by both sensors, total FRP was lower with VIIRS than with MODIS. This study contributes to a better understanding of fire detection and FRP retrieval performance between MODIS and its successor VIIRS, providing valuable information for using those data in the study of fire regimes and FRP-based fire emission estimation.<\/jats:p>","DOI":"10.3390\/rs12182870","type":"journal-article","created":{"date-parts":[[2020,9,4]],"date-time":"2020-09-04T11:24:24Z","timestamp":1599218664000},"page":"2870","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":81,"title":["Fire Detection and Fire Radiative Power in Forests and Low-Biomass Lands in Northeast Asia: MODIS versus VIIRS Fire Products"],"prefix":"10.3390","volume":"12","author":[{"given":"Yuyun","family":"Fu","sequence":"first","affiliation":[{"name":"School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China"},{"name":"Institut de recherche sur les for\u00eats, Universit\u00e9 du Qu\u00e9bec en Abitibi-T\u00e9miscamingue (UQAT), Rouyn-Noranda, QC J9X 5E4, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4461-6507","authenticated-orcid":false,"given":"Rui","family":"Li","sequence":"additional","affiliation":[{"name":"School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China"},{"name":"Comparative Planetary Excellence Innovation Center, Chinese Academy of Sciences, Hefei 230026, China"},{"name":"State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuewen","family":"Wang","sequence":"additional","affiliation":[{"name":"GreenEarth Research Company Inc., Slingerlands, NY 12209, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3707-3687","authenticated-orcid":false,"given":"Yves","family":"Bergeron","sequence":"additional","affiliation":[{"name":"Institut de recherche sur les for\u00eats, Universit\u00e9 du Qu\u00e9bec en Abitibi-T\u00e9miscamingue (UQAT), Rouyn-Noranda, QC J9X 5E4, Canada"},{"name":"D\u00e9partement des sciences biologiques universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al C.P. 8888.Succursale Centre-Ville, Montr\u00e9al, QC H3C 3P8, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9921-7474","authenticated-orcid":false,"given":"Osvaldo","family":"Valeria","sequence":"additional","affiliation":[{"name":"Institut de recherche sur les for\u00eats, Universit\u00e9 du Qu\u00e9bec en Abitibi-T\u00e9miscamingue (UQAT), Rouyn-Noranda, QC J9X 5E4, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rapha\u00ebl D.","family":"Chavard\u00e8s","sequence":"additional","affiliation":[{"name":"Institut de recherche sur les for\u00eats, Universit\u00e9 du Qu\u00e9bec en Abitibi-T\u00e9miscamingue (UQAT), Rouyn-Noranda, QC J9X 5E4, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8355-3174","authenticated-orcid":false,"given":"Yipu","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6666-5457","authenticated-orcid":false,"given":"Jiheng","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,9,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41559-016-0058","article-title":"Human exposure and sensitivity to globally extreme wildfire events","volume":"1","author":"Bowman","year":"2017","journal-title":"Nat. Ecol. Evol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"470","DOI":"10.3390\/rs6010470","article-title":"Remote sensing techniques in monitoring post-fire effects and patterns of forest recovery in boreal forest regions: A review","volume":"6","author":"Chu","year":"2014","journal-title":"Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"625","DOI":"10.5194\/gmd-4-625-2011","article-title":"The Fire INventory from NCAR (FINN): A high resolution global model to estimate the emissions from open burning","volume":"4","author":"Wiedinmyer","year":"2011","journal-title":"Geosci. Model Dev."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"992","DOI":"10.4209\/aaqr.2012.10.0277","article-title":"Agricultural fires and their potential impacts on regional air quality over China","volume":"13","author":"Zha","year":"2013","journal-title":"Aerosol Air Qual. Res."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1007\/s40725-020-00116-5","article-title":"Satellite Remote Sensing Contributions to Wildland Fire Science and Management","volume":"6","author":"Chuvieco","year":"2020","journal-title":"Curr. For. Rep."},{"key":"ref_6","unstructured":"Bergeron, Y., and Gauthier, S. (2017). Fire Regimes: Spatial and Temporal Variability and Their Effects on Forests, Multidisciplinary Digital Publishing Institute."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.rse.2019.02.013","article-title":"Historical background and current developments for mapping burned area from satellite Earth observation","volume":"225","author":"Chuvieco","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1016\/j.atmosenv.2019.05.017","article-title":"Estimation of biomass-burning emissions by fusing the fire radiative power retrievals from polar-orbiting and geostationary satellites across the conterminous United States","volume":"211","author":"Li","year":"2019","journal-title":"Atmos. Environ."},{"key":"ref_9","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 Himarawi-8 AHI","volume":"193","author":"Xu","year":"2017","journal-title":"Remote Sens. Environ."},{"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. Atmos."},{"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":"258","DOI":"10.1016\/j.gloplacha.2006.07.015","article-title":"Reconstruction of fire spread within wildland fire events in Northern Eurasia from the MODIS active fire product","volume":"56","author":"Loboda","year":"2007","journal-title":"Glob. Planet. Chang."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"8253","DOI":"10.1002\/ece3.5400","article-title":"The influence of fire frequency on the structure and botanical composition of savanna ecosystems","volume":"9","author":"Ribeiro","year":"2019","journal-title":"Ecol. Evol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1109\/JSTARS.2012.2210699","article-title":"Hotspot analysis of vegetation fires and intensity in the Indian region","volume":"6","author":"Vadrevu","year":"2012","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"3401","DOI":"10.1002\/2013JD021067","article-title":"Quantifying the potential for high-altitude smoke injection in the North American boreal forest using the standard MODIS fire products and subpixel-based methods","volume":"119","author":"Peterson","year":"2014","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"910","DOI":"10.1071\/WF12087","article-title":"Is burn severity related to fire intensity? Observations from landscape scale remote sensing","volume":"22","author":"Heward","year":"2013","journal-title":"Int. J. Wildland Fire"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1173","DOI":"10.5194\/bg-15-1173-2018","article-title":"Fire intensity impacts on post-fire temperate coniferous forest net primary productivity","volume":"15","author":"Sparks","year":"2018","journal-title":"Biogeosciences"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"8326","DOI":"10.1029\/2017JD027927","article-title":"Satellite-Observed Impacts of Wildfires on Regional Atmosphere Composition and the Shortwave Radiative Forcing: A Multiple Case Study","volume":"123","author":"Fu","year":"2018","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"6643","DOI":"10.5194\/acp-14-6643-2014","article-title":"Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements","volume":"14","author":"Ichoku","year":"2014","journal-title":"Atmos. Chem. Phys."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"527","DOI":"10.5194\/bg-9-527-2012","article-title":"Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power","volume":"9","author":"Kaiser","year":"2012","journal-title":"Biogeosciences"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Wooster, M.J., Roberts, G., Perry, G., and Kaufman, Y. (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. Atmos., 110.","DOI":"10.1029\/2005JD006318"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2636","DOI":"10.1109\/TGRS.2005.857328","article-title":"A method to derive smoke emission rates from MODIS fire radiative energy measurements","volume":"43","author":"Ichoku","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"2509","DOI":"10.5194\/acp-14-2509-2014","article-title":"Space-based observations of fire NOx emission coefficients: A global biome-scale comparison","volume":"14","author":"Mebust","year":"2014","journal-title":"Atmos. Chem. Phys"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"5839","DOI":"10.5194\/acp-11-5839-2011","article-title":"Characterization of wildfire NOx emissions using MODIS fire radiative power and OMI tropospheric NO2 columns","volume":"11","author":"Mebust","year":"2011","journal-title":"Atmos. Chem. Phys."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2447","DOI":"10.5194\/acp-14-2447-2014","article-title":"The empirical relationship between satellite-derived tropospheric NO2 and fire radiative power and possible implications for fire emission rates of NOx","volume":"14","author":"Schreier","year":"2014","journal-title":"Atmos. Chem. Phys."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1988","DOI":"10.1002\/2013GL059086","article-title":"Quantification of MODIS fire radiative power (FRP) measurement uncertainty for use in satellite-based active fire characterization and biomass burning estimation","volume":"41","author":"Freeborn","year":"2014","journal-title":"Geophys. Res. Lett."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Zhang, T., de Jong, M.C., Wooster, M.J., Xu, W., and Wang, L. (2020). New eastern China agricultural burning fire emission inventory and trends analysis from combined geostationary (Himawari-8) and polar-orbiting (VIIRS-IM) fire radiative power products. Atmos. Chem. Phys. Discuss., 1\u201330. accepted.","DOI":"10.5194\/acp-2019-968"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"4061","DOI":"10.3390\/rs6054061","article-title":"A decade long, multi-scale map comparison of fire regime parameters derived from three publically available satellite-based fire products: A case study in the Central African Republic","volume":"6","author":"Freeborn","year":"2014","journal-title":"Remote Sens."},{"key":"ref_29","unstructured":"Schroeder, W. (2020, January 17). Visible Infrared Imaging Radiometer Suite (VIIRS) 375 m & 750 m Active Fire Detection Data Sets Based on Nasa VIIRS Land Science Investigator Processing System (SIPS) Reprocessed Data-Version 1, NASA, Available online: https:\/\/lpdaac.usgs.gov\/documents\/132\/VNP14_User_Guide_v1.3.pdf."},{"key":"ref_30","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_31","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1002\/2013JD020453","article-title":"Active fires from the Suomi NPP Visible Infrared Imaging Radiometer Suite: Product status and first evaluation results","volume":"119","author":"Csiszar","year":"2014","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_32","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_33","unstructured":"Schroeder, W., and Giglio, L. (2016). Visible Infrared Imaging Radiometer Suite (VIIRS) 375 m Active Fire Detection and Characterization Algorithm Theoretical Basis Document, University of Maryland."},{"key":"ref_34","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_35","doi-asserted-by":"crossref","first-page":"11508","DOI":"10.1002\/jgrd.50873","article-title":"Suomi NPP VIIRS prelaunch and on-orbit geometric calibration and characterization","volume":"118","author":"Wolfe","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/j.rse.2017.06.028","article-title":"Approaches for synergistically exploiting VIIRS I-and M-Band data in regional active fire detection and FRP assessment: A demonstration with respect to agricultural residue burning in Eastern China","volume":"198","author":"Zhang","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"011007","DOI":"10.1088\/2515-7620\/ab056c","article-title":"Missing emissions from post-monsoon agricultural fires in northwestern India: Regional limitations of MODIS burned area and active fire products","volume":"1","author":"Liu","year":"2019","journal-title":"Environ. Res. Commun."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Vadrevu, K., and Lasko, K. (2018). Intercomparison of MODIS AQUA and VIIRS I-Band fires and emissions in an agricultural landscape\u2014Implications for air pollution research. Remote Sens., 10.","DOI":"10.3390\/rs10070978"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-019-43940-x","article-title":"Trends in vegetation fires in south and Southeast Asian countries","volume":"9","author":"Vadrevu","year":"2019","journal-title":"Sci. Rep."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.foreco.2015.01.011","article-title":"Quantifying influences and relative importance of fire weather, topography, and vegetation on fire size and fire severity in a Chinese boreal forest landscape","volume":"356","author":"Fang","year":"2015","journal-title":"For. Ecol. Manag."},{"key":"ref_41","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_42","unstructured":"ESA (2020, May 18). Land Cover CCI Product User Guide Version 2. Tech. Rep., Available online: Maps.elie.ucl.ac.be\/CCI\/viewer\/download\/ESACCI-LC-Ph2-PUGv2_2.0.pdf."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1007\/s11676-011-0185-5","article-title":"Future impacts of climate change on forest fire danger in northeastern China","volume":"22","author":"Tian","year":"2011","journal-title":"J. For. Res."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Song, Y., Liu, B., Miao, W., Chang, D., and Zhang, Y. (2009). Spatiotemporal variation in nonagricultural open fire emissions in China from 2000 to 2007. Glob. Biogeochem. Cycles, 23.","DOI":"10.1029\/2008GB003344"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.atmosenv.2012.01.017","article-title":"A high-resolution emission inventory of crop burning in fields in China based on MODIS Thermal Anomalies\/Fire products","volume":"50","author":"Huang","year":"2012","journal-title":"Atmos. Environ."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Bertschi, I.T., and Jaffe, D.A. (2005). Long-range transport of ozone, carbon monoxide, and aerosols to the NE Pacific troposphere during the summer of 2003: Observations of smoke plumes from Asian boreal fires. J. Geophys. Res. Atmos., 110.","DOI":"10.1029\/2004JD005135"},{"key":"ref_47","first-page":"3","article-title":"Impacts of vegetation fire emissions on the environment, human health, and security: A global perspective","volume":"8","author":"Goldammer","year":"2008","journal-title":"Dev. Environ. Sci."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"18627","DOI":"10.1029\/94JD01024","article-title":"Satellite analysis of the severe 1987 forest fires in northern China and southeastern Siberia","volume":"99","author":"Cahoon","year":"1994","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_49","unstructured":"Giglio, L., Schroeder, W., Hall, J.V., and Justice, C.O. (2020, January 17). MODIS Collection 6 Active Fire Product User\u2019s Guide Revision B. Available online: http:\/\/modis-fire.umd.edu\/files\/MODIS_C6_Fire_User_Guide_B.pdf."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/S0034-4257(02)00085-8","article-title":"Achieving sub-pixel geolocation accuracy in support of MODIS land science","volume":"83","author":"Wolfe","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_51","unstructured":"MODIS Characterization Support Team (MCST) (2017). MODIS Geolocation Fields Product, NASA MODIS Adaptive Processing System, Goddard Space Flight Center."},{"key":"ref_52","unstructured":"Goddard Space Flight Center (GSFC) (2018, October 07). VIIRS Geolocation Fields Product, Available online: https:\/\/ladsweb.modaps.eosdis.nasa.gov\/."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Long, T., Zhang, Z., He, G., Jiao, W., Tang, C., Wu, B., Zhang, X., Wang, G., and Yin, R. (2019). 30 m Resolution Global Annual Burned Area Mapping Based on Landsat Images and Google Earth Engine. Remote Sens., 11.","DOI":"10.3390\/rs11050489"},{"key":"ref_54","unstructured":"(2020, May 18). C3SCDS. Available online: https:\/\/cds.climate.copernicus.eu\/."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Sharma, A., Wang, J., and Lennartson, E.M. (2017). Intercomparison of MODIS and VIIRS fire products in Khanty-Mansiysk Russia: Implications for characterizing gas flaring from space. Atmosphere, 8.","DOI":"10.20944\/preprints201705.0051.v1"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"470","DOI":"10.1038\/nclimate2581","article-title":"Recent reversal in loss of global terrestrial biomass","volume":"5","author":"Liu","year":"2015","journal-title":"Nat. Clim. Chang."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"2074","DOI":"10.1016\/j.foreco.2007.12.024","article-title":"Carbon content in vegetation, litter, and soil under 10 different land-use and land-cover classes in the Central Highlands of Michoacan, Mexico","volume":"255","author":"Guerrero","year":"2008","journal-title":"For. Ecol. Manag."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Randerson, J., Chen, Y., Van Der Werf, G., Rogers, B., and Morton, D. (2012). Global burned area and biomass burning emissions from small fires. J. Geophys. Res. Biogeosci., 117.","DOI":"10.1029\/2012JG002128"},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Hoelzemann, J.J., Schultz, M.G., Brasseur, G.P., Granier, C., and Simon, M. (2004). Global Wildland Fire Emission Model (GWEM): Evaluating the use of global area burnt satellite data. J. Geophys. Res. Atmos., 109.","DOI":"10.1029\/2003JD003666"},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Kganyago, M., and Shikwambana, L. (2020). Assessment of the Characteristics of Recent Major Wildfires in the USA, Australia and Brazil in 2018\u20132019 Using Multi-Source Satellite Products. Remote Sens., 12.","DOI":"10.3390\/rs12111803"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Kganyago, M., and Shikwambana, L. (2019). Assessing spatio-temporal variability of wildfires and their impact on sub-Saharan ecosystems and air quality using multisource remotely sensed data and trend analysis. Sustainability, 11.","DOI":"10.3390\/su11236811"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"2711","DOI":"10.1016\/j.rse.2008.01.005","article-title":"Validation of GOES and MODIS active fire detection products using ASTER and ETM+ data","volume":"112","author":"Schroeder","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"4423","DOI":"10.3390\/rs5094423","article-title":"VIIRS nightfire: Satellite pyrometry at night","volume":"5","author":"Elvidge","year":"2013","journal-title":"Remote Sens."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Kumar, S.S., Hult, J., Picotte, J., and Peterson, B. (2020). Potential Underestimation of Satellite Fire Radiative Power Retrievals over Gas Flares and Wildland Fires. Remote Sens., 12.","DOI":"10.3390\/rs12020238"},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Oliva, P., and Schroeder, W. (2015, January 26\u201331). Atmospheric correction of VIIRS and MODIS fire radiative power retrievals for multi-sensor comparison. Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy.","DOI":"10.1109\/IGARSS.2015.7326200"},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Madhavan, S., Brinkmann, J., Wenny, B.N., Wu, A., and Xiong, X. (2016). Evaluation of VIIRS and MODIS thermal emissive band calibration stability using ground target. Remote Sens., 8.","DOI":"10.3390\/rs8020158"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.rse.2012.10.036","article-title":"A sub-pixel-based calculation of fire radiative power from MODIS observations: 1: Algorithm development and initial assessment","volume":"129","author":"Peterson","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Schroeder, W., Csiszar, I., Giglio, L., and Schmidt, C.C. (2010). On the use of fire radiative power, area, and temperature estimates to characterize biomass burning via moderate to coarse spatial resolution remote sensing data in the Brazilian Amazon. J. Geophys. Res. Atmos., 115.","DOI":"10.1029\/2009JD013769"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1080\/01431161.2017.1395970","article-title":"Transitioning from MODIS to VIIRS: An analysis of inter-consistency of NDVI data sets for agricultural monitoring","volume":"39","author":"Skakun","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/j.atmosenv.2017.11.048","article-title":"Verification, improvement and application of aerosol optical depths in China Part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS","volume":"175","author":"Wei","year":"2018","journal-title":"Atmos. Environ."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1071\/WF15090","article-title":"Measuring radiant emissions from entire prescribed fires with ground, airborne and satellite sensors\u2013RxCADRE 2012","volume":"25","author":"Dickinson","year":"2016","journal-title":"Int. J. Wildland Fire"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/18\/2870\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:06:45Z","timestamp":1760177205000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/18\/2870"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,4]]},"references-count":71,"journal-issue":{"issue":"18","published-online":{"date-parts":[[2020,9]]}},"alternative-id":["rs12182870"],"URL":"https:\/\/doi.org\/10.3390\/rs12182870","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,4]]}}}