{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T12:19:21Z","timestamp":1790684361829,"version":"4.1.0"},"reference-count":70,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2016,12,25]],"date-time":"2016-12-25T00:00:00Z","timestamp":1482624000000},"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>Global burned area (BA) datasets from satellite Earth observations provide information for carbon emission and for Dynamic Global Vegetation Model (DGVM) benchmarking. Fire patch identification from pixel-level information recently emerged as an additional way of providing informative features about fire regimes through the analysis of patch size distribution. We evaluated the ability of global BA products to accurately represent morphological features of fire patches, in the fire-prone Brazilian savannas. We used the pixel-level burned area from LANDSAT images, as well as two global products: MODIS MCD45A1 and the European Space Agency (ESA) fire Climate Change Initiative (FIRE_CCI) product for the 2002\u20132009 time period. Individual fire patches were compared by linear regressions to test the consistency of global products as a source of burned patch shape information. Despite commission and omission errors respectively reaching 0.74 and 0.81 for ESA FIRE_CCI and 0.64 and 0.62 for MCD45A1 when compared to LANDSAT due to missing small fires, correlations between patch areas showed R2 &gt; 0.6 for all comparisons, with a slope of 0.99 between ESA FIRE_CCI and MCD45A1 but a lower slope (0.6\u20130.8) when compared to the LANDSAT data. Shape complexity between global products was less correlated (R2 = 0.5) with lower values (R2 = 0.2) between global products and LANDSAT data, due to their coarser resolution. For the morphological features of the ellipse fitted over fire patches, R2 reached 0.6 for the ellipse\u2019s eccentricity and varied from 0.4 to 0.8 for its azimuthal directional angle. We conclude that global BA products underestimate total BA as they miss small fires, but they also underestimate burned patch areas. Patch complexity is the least correlated variable, but ellipse features appear to provide information to be further used for quality product assessment, global pyrogeography or DGVM benchmarking.<\/jats:p>","DOI":"10.3390\/rs9010007","type":"journal-article","created":{"date-parts":[[2016,12,28]],"date-time":"2016-12-28T11:22:14Z","timestamp":1482924134000},"page":"7","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":43,"title":["Can We Go Beyond Burned Area in the Assessment of Global Remote Sensing Products with Fire Patch Metrics?"],"prefix":"10.3390","volume":"9","author":[{"given":"Joana","family":"Nogueira","sequence":"first","affiliation":[{"name":"UMR CEFE 5175, Centre National de la Recherche Scientifique, Universit\u00e9 de Montpellier, Universit\u00e9 Paul-Val\u00e9ry Montpellier, Ecole Pratique des Hautes Etudes, Institut de Recherche pour le D\u00e9veloppement, 1919 route de Mende, 34293 Montpellier Cedex 5, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3647-8172","authenticated-orcid":false,"given":"Julien","family":"Ruffault","sequence":"additional","affiliation":[{"name":"UMR CEFE 5175, Centre National de la Recherche Scientifique, Universit\u00e9 de Montpellier, Universit\u00e9 Paul-Val\u00e9ry Montpellier, Ecole Pratique des Hautes Etudes, Institut de Recherche pour le D\u00e9veloppement, 1919 route de Mende, 34293 Montpellier Cedex 5, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5618-4759","authenticated-orcid":false,"given":"Emilio","family":"Chuvieco","sequence":"additional","affiliation":[{"name":"Environmental Remote Sensing Research Group, Department of Geology, Geography and the Environment, University of Alcal\u00e1, C\/Colegios 2, 28801 Alcal\u00e1 de Henares, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6548-4830","authenticated-orcid":false,"given":"Florent","family":"Mouillot","sequence":"additional","affiliation":[{"name":"UMR CEFE 5175, Centre National de la Recherche Scientifique, Universit\u00e9 de Montpellier, Universit\u00e9 Paul-Val\u00e9ry Montpellier, Ecole Pratique des Hautes Etudes, Institut de Recherche pour le D\u00e9veloppement, 1919 route de Mende, 34293 Montpellier Cedex 5, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2016,12,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"675","DOI":"10.5194\/bg-13-675-2016","article-title":"How have past fire disturbances contributed to the current carbon balance of boreal ecosystems?","volume":"13","author":"Yue","year":"2016","journal-title":"Biogeosciences"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1029\/94GB02086","article-title":"Spatial and temporal distribution of tropical biomass burning","volume":"8","author":"Hao","year":"1994","journal-title":"Glob. Biogeochem. Cycles"},{"key":"ref_3","first-page":"64","article-title":"Ten years of global burned area products from spaceborne remote sensing\u2014A review: Analysis of user needs and recommendations for future developments","volume":"26","author":"Mouillot","year":"2014","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1002\/jgrg.20042","article-title":"Analysis of daily, monthly, and annual burned area using the fourth generation global fire emissions database (GFED4)","volume":"118","author":"Giglio","year":"2013","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"3359","DOI":"10.5194\/bg-13-3359-2016","article-title":"The status and challenge of global fire modelling","volume":"13","author":"Hantson","year":"2016","journal-title":"Biogeosciences"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.rse.2015.01.005","article-title":"Comparing the accuracies of remote sensing global burned area products using stratified random sampling and estimation","volume":"160","author":"Padilla","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"21456","DOI":"10.1029\/2012JG002128","article-title":"Global burned area and biomass burning emissions from small fires","volume":"117","author":"Randerson","year":"2012","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1395","DOI":"10.1007\/s10113-013-0583-7","article-title":"Two thresholds determine climatic control of forest fire size in Europe and North Africa","volume":"14","author":"Loepfe","year":"2014","journal-title":"Reg. Environ. Change"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Archibald, S., and Roy, D.P. (2009, January 12\u201317). Identifying individual fires from satellite-derived burned area data. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Cape Town, South Africa.","DOI":"10.1109\/IGARSS.2009.5417974"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1111\/geb.12246","article-title":"Global fire size distribution is driven by human impact and climate","volume":"24","author":"Hantson","year":"2015","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2747","DOI":"10.5194\/gmd-7-2747-2014","article-title":"Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE\u2013Part 1: Simulating historical global burned area and fire regime","volume":"7","author":"Yue","year":"2014","journal-title":"Geosci. Model Dev."},{"key":"ref_12","unstructured":"Rothermel, R.C. (1972). A Mathematical Model for Predicting Fire Spread in Wildland Fuels."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1007\/s10980-005-7302-9","article-title":"Comparison of the sensitivity of landscape-fire-succession models to variation in terrain, fuel pattern, climate and weather","volume":"21","author":"Cary","year":"2006","journal-title":"Landsc. Ecol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.foreco.2011.09.027","article-title":"Identifying geographical patterns of wildfire orientation: A watershed based analysis","volume":"264","author":"Barros","year":"2012","journal-title":"For. Ecol. Manage."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"197","DOI":"10.3390\/f4010197","article-title":"Spatial characterization of wildfire orientation patterns in California","volume":"4","author":"Barros","year":"2013","journal-title":"Forests"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"10","DOI":"10.4996\/fireecology.1101010","article-title":"Ecological implications of fine scale fire patchiness and severity in tropical savannas of northern Australia","volume":"11","author":"Oliveira","year":"2015","journal-title":"Fire Ecol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.foreco.2009.03.041","article-title":"Factors influencing the formation of unburned forest islands within the perimeter of a large forest fire","volume":"258","author":"Gracia","year":"2009","journal-title":"For. Ecol. Manage."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1007\/BF00162741","article-title":"Indices of landscape pattern","volume":"1","author":"Krummel","year":"1988","journal-title":"Landsc. Ecol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1007\/BF02347791","article-title":"Landform effects on fire behavior and post fire regeneration in the mixed forests of northern Japan","volume":"11","author":"Takaoka","year":"1996","journal-title":"Ecol. Res."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"2050","DOI":"10.3390\/rs6032050","article-title":"Assessing the temporal stability of the accuracy of a time series of burned area products","volume":"6","author":"Padilla","year":"2014","journal-title":"Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"3690","DOI":"10.1016\/j.rse.2008.05.013","article-title":"The collection 5 MODIS burned area product\u2014Global evaluation by comparison with the MODIS active fire product","volume":"112","author":"Roy","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1111\/geb.12440","article-title":"A new global burned area product for climate assessment of fire impacts","volume":"25","author":"Chuvieco","year":"2016","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_23","unstructured":"Viergever, M. (2009). Plano Estadual de Controle de Queimadas e Combate a Inc\u00eandios Florestais, Available online: http:\/\/www.fundoamazonia.gov.br\/ FundoAmazonia\/export\/sites\/default\/site_pt\/Galerias\/Arquivos\/Publicacoes\/Plano_Estadual_do_Tocantins.pdf."},{"key":"ref_24","unstructured":"Jarvis, A., Reuter, H.I., Nelson, A., and Guevara, E. (2008). Hole-Filled Seamless SRTM Data V4, International Centre for Tropical Agriculture (CIAT)."},{"key":"ref_25","unstructured":"ESA\u2014European Space Agency (2014). CCI Land Cover Product User Guide Version 2.4, ESA."},{"key":"ref_26","unstructured":"Instituto Brasileiro de Geografia e Estat\u00edstica, Available online: http:\/\/www.ibge.gov.br\/."},{"key":"ref_27","unstructured":"Instituto Nacional de Pesquisas Espaciais. Available online: http:\/\/www.inpe.br\/."},{"key":"ref_28","unstructured":"Minist\u00e9rio do Meio Ambiente, Available online: http:\/\/www.mma.gov.br\/."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.rse.2012.12.004","article-title":"Strengths and weaknesses of MODIS hotspots to characterize global fire occurrence","volume":"131","author":"Hantson","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"12360","DOI":"10.3390\/rs61212360","article-title":"BAMS: A tool for supervised burned area mapping using Landsat data","volume":"6","author":"Bastarrika","year":"2014","journal-title":"Remote Sens."},{"key":"ref_31","unstructured":"Padilla, M., Chuvieco, E., Hantson, S., Theis, R., and Sandow, C. ESA FIRE CCI Product Validation Plan. Available online: http:\/\/www.esa-fire-cci.org\/webfm_send\/241."},{"key":"ref_32","unstructured":"Boschetti, L., Roy, D., and Justice, C. (2009). International Global Burned Area Satellite Product Validation Protocol Part I\u2014Production and Standardization of Validation Reference Data, Committee on Earth Observation Satellites."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1032","DOI":"10.1109\/TGRS.2008.2009000","article-title":"Southern Africa validation of the MODIS, L3JRC and GlobCarbon burned-area products","volume":"47","author":"Roy","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_34","unstructured":"Hijmans, R.J. Raster: Geographic Data Analysis and Modeling. Available online: http:\/\/CRAN.R-project.org\/package=raster\/."},{"key":"ref_35","unstructured":"Pebesma, E.J., and Bivand, R.S. Classes and Methods for Spatial Data in R. R News 5 (2). Available online: http:\/\/cran.r-project.org\/doc\/Rnews\/."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"McGarigal, K., and Marks, B.J. (1995). FRAGSTATS: Spatial Pattern Analysis Program for Quantifying Landscape Structure V.2.","DOI":"10.2737\/PNW-GTR-351"},{"key":"ref_37","unstructured":"Vanderwal, J., Falconi, L., Januchowski, S., Shoo, L., and Storlie, C. Species Distribution Modelling Tools (SDMTools): Tools for Processing daTa Associated with Species Distribution Modelling Exercises. Available online: http:\/\/CRAN.R-project.org\/package=SDMTools\/."},{"key":"ref_38","unstructured":"Bui, R., Buliung, R.N., and Remmel, T.K. Aspace: A Collection of Functions for Estimating Centrographic Statistics and Computational Geometries for Spatial Point Patterns. Available online: http:\/\/CRAN.R-project.org\/package=aspace."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.rse.2015.01.022","article-title":"MODIS Landsat fusion for large area 30m burned area mapping","volume":"161","author":"Boschetti","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"15782","DOI":"10.3390\/rs71115782","article-title":"An algorithm for burned area detection in the Brazilian Cerrado using 4 \u00b5m MODIS imagery","volume":"7","author":"Libonati","year":"2015","journal-title":"Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"345","DOI":"10.5721\/EuJRS20154820","article-title":"A comparison of remote sensing products and forest fire statistics for improving fire information in Mediterranean Europe","volume":"48","author":"Vilar","year":"2015","journal-title":"Eur. J. Remote Sens."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.rse.2012.08.003","article-title":"Mapping spatial and temporal patterns of Mediterranean wildfires from MODIS","volume":"126","author":"Levin","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1071\/WF14031","article-title":"Comparison of burned areas in mainland China derived from MCD45A1 and data recorded in yearbooks from 2001 to 2011","volume":"24","author":"Li","year":"2014","journal-title":"Int. J. Wildland Fire"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"2384","DOI":"10.1016\/j.rse.2011.05.001","article-title":"Remote sensing approaches for reconstructing fire perimeters and burn severity mosaics in desert spring ecosystems","volume":"115","author":"Sunderman","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1002\/2013GB004664","article-title":"Application of remote sensing to understanding fire regimes and biomass burning emissions of the tropical Andes","volume":"28","author":"Oliveras","year":"2014","journal-title":"Glob. Biogeochem. Cycles."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"8002","DOI":"10.3390\/rs6098002","article-title":"Analysis and assessment of the spatial and temporal distribution of burned areas in the Amazon forest","volume":"6","author":"Cardozo","year":"2014","journal-title":"Remote Sens."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"2221","DOI":"10.1080\/01431160500396550","article-title":"Spatial and temporal scale issues in determining biomass burning regimes in Bolivia and Peru","volume":"27","author":"Bradley","year":"2006","journal-title":"Int. J. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"53","DOI":"10.14358\/PERS.78.1.53","article-title":"Accuracy assessment of burned area products in the Orinoco basin","volume":"78","author":"Anaya","year":"2012","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_49","first-page":"25","article-title":"Semi automated mapping of burned areas in semiarid ecosystems using MODIS time series imagery","volume":"38","author":"Hardtke","year":"2015","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_50","first-page":"94","article-title":"Satellite base automated burned area detection: A performance assessment of the MODIS MCD45A1 in the Brazilian savanna","volume":"36","author":"Araujo","year":"2015","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"2156","DOI":"10.1029\/2008JD011361","article-title":"Comparison of L3JRC and MODIS global burned area products 2000 to 2007","volume":"114","author":"Chang","year":"2009","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"957","DOI":"10.5194\/acp-6-957-2006","article-title":"Global estimation of burned area using MODIS active fire observations","volume":"6","author":"Giglio","year":"2006","journal-title":"Atmos. Chem. Phys."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/j.rse.2005.02.004","article-title":"Comparison of burned area estimates derived from SPOT VEGETATION and Landsat ETM+ data in Africa: Influence of spatial pattern and vegetation type","volume":"96","author":"Silva","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"3583","DOI":"10.1080\/01431160601009672","article-title":"Analysis of the relationship between spatial pattern and spectral detectability of areas burned in southern Africa using satellite data","volume":"28","author":"Sa","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1253","DOI":"10.1139\/x2012-074","article-title":"The influence of wildfire boundary delineation on our understanding of burning patterns in the Alberta foothills","volume":"42","author":"Andison","year":"2012","journal-title":"Can. J. For. Res."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.foreco.2012.08.020","article-title":"Mapped versus actual burned area within wildfire perimeters: Characterizing the unburned","volume":"286","author":"Kolden","year":"2012","journal-title":"For. Ecol. Manage."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1007\/BF00133309","article-title":"The landscape ecology of large disturbances in the design and management of nature reserves","volume":"7","author":"Baker","year":"1992","journal-title":"Landsc. Ecol."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"397","DOI":"10.5194\/npg-20-397-2013","article-title":"An intercomparison of burnt area estimates derived from key operational products: The Greek wildland fires of 2005\u20132007","volume":"20","author":"Kalivas","year":"2013","journal-title":"Nonlinear Proc. Geophys."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1023\/B:LAND.0000021711.40074.ae","article-title":"Effects of changing scale on landscape pattern analysis: Scaling relations","volume":"19","author":"Wu","year":"2004","journal-title":"Landsc. Ecol."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1071\/WF10008","article-title":"Southern African fire regimes as revealed by remote sensing","volume":"19","author":"Archibald","year":"2010","journal-title":"Int. J. Wildland Fire"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1449","DOI":"10.5194\/bg-11-1449-2014","article-title":"Fractal properties of forest fires in Amazonia as a basis for modelling pan tropical burnt area","volume":"11","author":"Fletcher","year":"2014","journal-title":"Biogeosciences"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"13690","DOI":"10.1073\/pnas.1415442111","article-title":"The emergence and promise of functional biogeography","volume":"111","author":"Violle","year":"2014","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Oom, D., Silva, P.C., Bistinas, I., and Pereira, J.M.C. (2016). Highlighting biome specific sensitivity of fire size distributions to time-gap parameters using a new algorithm for fire event individuation. Remote Sens., 8.","DOI":"10.3390\/rs8080663"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.envsoft.2013.02.005","article-title":"Quantifying spatio temporal differences between fire shapes: Estimating fire travel paths for the improvement of dynamic spread models","volume":"46","author":"Duff","year":"2013","journal-title":"Environ. Model. Softw."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1037","DOI":"10.1890\/13-1077.1","article-title":"Climate, fire size and biophysical setting control fire severity and spatial pattern in the northern Cascade Range, USA","volume":"24","author":"Cansler","year":"2014","journal-title":"Ecol. Appl."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"968","DOI":"10.1139\/x92-129","article-title":"Elliptical-fire perimeter and area-intensity distributions","volume":"22","author":"Catchpole","year":"1992","journal-title":"Can. J. For. Res."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1007\/s10980-006-9047-5","article-title":"Spatial patterns of large natural fires in Sierra Nevada wilderness areas","volume":"22","author":"Collins","year":"2007","journal-title":"Landsc. Ecol."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"1157","DOI":"10.1007\/s10980-014-0049-4","article-title":"Spatial attributes of fire regime in eastern Canada: Influences of regional landscape physiography and climate","volume":"29","author":"Mansuy","year":"2014","journal-title":"Landsc. Ecol."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1071\/WF13015","article-title":"Mapping the daily progression of large wildland fire using MODIS active fire data","volume":"23","author":"Veraverbeke","year":"2014","journal-title":"Int. J. Wildland Fire"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1177\/2053019615588790","article-title":"Satellite versus ground-based estimated of burned area: A comparison between MODIS based burned area and fire agency reports over North America in 2007","volume":"3","author":"Mangeon","year":"2015","journal-title":"Anthropocene Rev."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/1\/7\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:29:17Z","timestamp":1760210957000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/1\/7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12,25]]},"references-count":70,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2017,1]]}},"alternative-id":["rs9010007"],"URL":"https:\/\/doi.org\/10.3390\/rs9010007","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,12,25]]}}}