{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T03:20:13Z","timestamp":1772508013469,"version":"3.50.1"},"reference-count":73,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2018,6,14]],"date-time":"2018-06-14T00:00:00Z","timestamp":1528934400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Spanish Ministry of Economy and Competitiveness","award":["CGL2013-48202-C02-02"],"award-info":[{"award-number":["CGL2013-48202-C02-02"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>A Bayesian classifier mapped the Burned Area (BA) in the Northeastern Siberian boreal forest (70\u00b0N 120\u00b0E\u201360\u00b0N 170\u00b0E) from 1982 to 2015. The algorithm selected the 0.05\u00b0 (~5 km) Long-Term Data Record (LTDR) version 3 and 4 data sets to generate 10-day BA composites. Landsat-TM scenes of the entire study site in 2002, 2010, and 2011 assessed the spatial accuracy of this LTDR-BA product, in comparison to Moderate-Resolution Imaging Spectroradiometer (MODIS) MCD45A1 and MCD64A1 BA products. The LTDR-BA algorithm proves a reliable source to quantify BA in this part of Siberia, where comprehensive BA remote sensing products since the 1980s are lacking. Once grouped by year and decade, this study explored the trends in fire activity. The LTDR-BA estimates contained a high interannual variability with a maximum of 2.42 million ha in 2002, an average of 0.78 million ha\/year, and a standard deviation of 0.61 million ha. Going from 6.36 in the 1980s to 10.21 million ha BA in the 2010s, there was a positive linear BA trend of approximately 1.28 million ha\/decade during these last four decades in the Northeastern Siberian boreal forest.<\/jats:p>","DOI":"10.3390\/rs10060940","type":"journal-article","created":{"date-parts":[[2018,6,14]],"date-time":"2018-06-14T11:06:06Z","timestamp":1528974366000},"page":"940","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["Estimation of Burned Area in the Northeastern Siberian Boreal Forest from a Long-Term Data Record (LTDR) 1982\u20132015 Time Series"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3218-509X","authenticated-orcid":false,"given":"Jos\u00e9 R.","family":"Garc\u00eda-L\u00e1zaro","sequence":"first","affiliation":[{"name":"Departamento de Inform\u00e1tica, Universidad of Almer\u00eda, 04120 Almer\u00eda, Spain"}]},{"given":"Jos\u00e9 A.","family":"Moreno-Ruiz","sequence":"additional","affiliation":[{"name":"Departamento de Inform\u00e1tica, Universidad of Almer\u00eda, 04120 Almer\u00eda, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0198-1424","authenticated-orcid":false,"given":"David","family":"Ria\u00f1o","sequence":"additional","affiliation":[{"name":"Instituto de Econom\u00eda, Geograf\u00eda y Demograf\u00eda (IEGD), Centro de Ciencias Humanas y Sociales (CCHS), Consejo Superior de Investigaciones Cient\u00edficas (CSIC), Albasanz 26-28, 28037 Madrid, Spain"},{"name":"Center for Spatial Technologies and Remote Sensing (CSTARS), University of California, 139 Veihmeyer Hall, One Shields Avenue, Davis, CA 95616, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6853-4442","authenticated-orcid":false,"given":"Manuel","family":"Arbelo","sequence":"additional","affiliation":[{"name":"Departamento de F\u00edsica, Universidad de La Laguna, 38200 San Crist\u00f3bal de La Laguna, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2018,6,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1038\/359716a0","article-title":"Effects of Boreal Forest Vegetation on Global Climate","volume":"359","author":"Bonan","year":"1992","journal-title":"Nature"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1016\/j.rse.2008.07.017","article-title":"Estimating aboveground carbon in a catchment of the Siberian forest tundra: Combining satellite imagery and field inventory","volume":"113","author":"Fuchs","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"437","DOI":"10.2307\/1942034","article-title":"Fire, global warming, and the carbon balance of boreal forests","volume":"5","author":"Kasischke","year":"1995","journal-title":"Ecol. Appl."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2370","DOI":"10.1111\/j.1365-2486.2011.02417.x","article-title":"Sensitivity of Siberian larch forests to climate change","volume":"17","author":"Shuman","year":"2011","journal-title":"Glob. Chang. Biol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1046\/j.1365-2486.2000.06022.x","article-title":"Arctic and boreal ecosystems of western North America as components of the climate system","volume":"6","author":"Chapin","year":"2000","journal-title":"Glob. Chang. Biol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2004GB002300","article-title":"Influences of boreal fire emissions on Northern Hemisphere atmospheric carbon and carbon monoxide","volume":"19","author":"Kasischke","year":"2005","journal-title":"Glob. Biogeochem. Cycles"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1007\/BF02940573","article-title":"Ecological effects of forest fires","volume":"26","author":"Ahlgren","year":"1960","journal-title":"Bot. Rev."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1046\/j.1365-2486.2000.06019.x","article-title":"The role of fire in the boreal carbon budget","volume":"6","author":"Harden","year":"2000","journal-title":"Glob. Chang. Biol."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Kasischke, E.S., and Stocks, B.J. (2000). Fire, Climate Change, and Carbon Cycling in the Boreal Forest, Springer.","DOI":"10.1007\/978-0-387-21629-4"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1016\/j.rse.2016.07.022","article-title":"A MODIS-based burned area assessment for Russian croplands: Mapping requirements and challenges","volume":"184","author":"Hall","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Krylov, A., McCarty, J.L., Potapov, P., Loboda, T., Tyukavina, A., Turubanova, S., and Hansen, M.C. (2014). Remote sensing estimates of stand-replacement fires in Russia, 2002\u20132011. Environ. Res. Lett., 9.","DOI":"10.1088\/1748-9326\/9\/10\/105007"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1134\/S1024856015060184","article-title":"Forest fires in Siberia and the Far East: Emissions and atmospheric transport of black carbon to the Arctic","volume":"28","author":"Vinogradova","year":"2015","journal-title":"Atmos. Ocean. Opt."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Chen, D., Loboda, T.V., Krylov, A., and Potapov, P.V. (2016). Mapping stand age dynamics of the Siberian larch forests from recent Landsat observations. Remote Sens. Environ., 187.","DOI":"10.1016\/j.rse.2016.10.033"},{"key":"ref_14","first-page":"1","article-title":"Mapping a burned forest area from Landsat TM data by multiple methods","volume":"5705","author":"Chen","year":"2014","journal-title":"Geomat. Nat. Hazards Risk"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"861","DOI":"10.5721\/EuJRS20164945","article-title":"Mapping recent burned patches in Siberian larch forest using Landsat and MODIS data","volume":"49","author":"Liu","year":"2016","journal-title":"Eur. J. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1080\/01431161.2010.499138","article-title":"Wildfires in Russia in 2000\u20132008: Estimates of burnt areas using the satellite MODIS MCD45 data","volume":"2","author":"Vivchar","year":"2011","journal-title":"Remote Sens. Lett."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Huang, H., Roy, D.P., Boschetti, L., Zhang, H.K., Yan, L., Kumar, S.S., Gomez-Dans, J., and Li, J. (2016). Separability analysis of Sentinel-2A Multi-Spectral Instrument (MSI) data for burned area discrimination. Remote Sens., 8.","DOI":"10.3390\/rs8100873"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1016\/j.rse.2007.01.017","article-title":"Regionally adaptable dNBR-based algorithm for burned area mapping from MODIS data","volume":"109","author":"Loboda","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/0034-4257(93)00074-J","article-title":"Locating and estimating the areal extent of wildfires in alaskan boreal forests using multiple-season AVHRR NDVI composite data","volume":"51","author":"Kasischke","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0034-4257(03)00141-X","article-title":"Monthly burned area and forest fire carbon emission estimates for the Russian Federation from SPOT VGT","volume":"87","author":"Zhang","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2003JD003598","article-title":"Vegetation burning in the year 2000: Global burned area estimates from SPOT VEGETATION data","volume":"109","author":"Tansey","year":"2004","journal-title":"J. Geophys. Res. D Atmos."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1016\/j.rse.2008.10.006","article-title":"An active-fire based burned area mapping algorithm for the MODIS sensor","volume":"113","author":"Giglio","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1003","DOI":"10.1016\/j.rse.2010.12.005","article-title":"Mapping burned areas from landsat TM\/ETM+ data with a two-phase algorithm: Balancing omission and commission errors","volume":"115","author":"Bastarrika","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1080\/17538947.2017.1391341","article-title":"Global operational land imager Landsat-8 reflectance-based active fire detection algorithm","volume":"11","author":"Kumar","year":"2018","journal-title":"Int. J. Digit. Earth"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1080\/014311699213073","article-title":"Multi-temporal active-fire based burn scar detection algorithm","volume":"20","author":"Roy","year":"1999","journal-title":"Int. J. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.rse.2015.01.010","article-title":"Assessment of VIIRS 375 m active fire detection product for direct burned area mapping","volume":"160","author":"Oliva","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_27","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_28","first-page":"18","article-title":"Forest Fire Detection and Monitoring using High Temporal MODIS and NOAA AVHRR Satellite Images in Peninsular Malaysia","volume":"3","author":"Biswajeet","year":"2010","journal-title":"Disaster Adv."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.rse.2015.01.022","article-title":"MODIS-Landsat fusion for large area 30 m burned area mapping","volume":"161","author":"Boschetti","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"3525","DOI":"10.1080\/014311600750037534","article-title":"SPOT VEGETATION for characterizing Boreal forest fires","volume":"21","author":"Fraser","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"362","DOI":"10.1016\/S0034-4257(00)00078-X","article-title":"Hotspot and NDVI differencing synergy (HANDS): A new technique for burned area mapping over boreal forest","volume":"74","author":"Fraser","year":"2000","journal-title":"Remote Sens. Environ."},{"key":"ref_32","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_33","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/S0034-4257(02)00076-7","article-title":"The MODIS fire products","volume":"83","author":"Justice","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.rse.2005.04.007","article-title":"Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data","volume":"97","author":"Roy","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_35","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_36","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_37","first-page":"1","article-title":"Generation and analysis of a new global burned area product based on MODIS 250m reflectance bands and thermal anomalies","volume":"512","author":"Chuvieco","year":"2018","journal-title":"Earth Syst. Sci. Data Discuss"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Al-Saadi, J., Soja, A., Pierce, R.B., Szykman, J., Wiedinmyer, C., Emmons, L.K., Kondragunta, S., Zhang, X., Kittaka, C., and Schaak, T. (2008). Intercomparison of near-real-time biomass burning emissions estimates constrained by satellite fire data. J. Appl. Remote Sens., 2.","DOI":"10.1117\/1.2948785"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"2381","DOI":"10.1016\/j.rse.2007.11.007","article-title":"Generation of long time series of burn area maps of the boreal forest from NOAA-AVHRR composite data","volume":"112","author":"Chuvieco","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2011JG001707","article-title":"Quantifying burned area for North American forests: Implications for direct reduction of carbon stocks","volume":"116","author":"Kasischke","year":"2011","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.rse.2013.03.003","article-title":"Mapping fire extent and burn severity in Alaskan tussock tundra: An analysis of the spectral response of tundra vegetation to wildland fire","volume":"134","author":"Loboda","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/j.rse.2011.10.017","article-title":"Burned area mapping time series in Canada (1984\u20131999) from NOAA-AVHRR LTDR: A comparison with other remote sensing products and fire perimeters","volume":"117","author":"Arbelo","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_43","first-page":"815","article-title":"Burned area mapping in the North American boreal forest using terra-MODIS LTDR (2001\u20132011): A comparison with the MCD45A1, MCD64A1 and BA GEOLAND-2 products","volume":"6","author":"Leal","year":"2013","journal-title":"Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Soja, A.J., Al-Saadi, J., Giglio, L., Randall, D., Kittaka, C., Pouliot, G., Kordzi, J.J., Raffuse, S., Pace, T.G., and Pierce, T.E. (2009). Assessing satellite-based fire data for use in the National Emissions Inventory. J. Appl. Remote Sens., 3.","DOI":"10.1117\/1.3148859"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"George, C., Rowland, C., Gerard, F., and Balzter, H. (2006). Retrospective mapping of burnt areas in Central Siberia using a modification of the normalised difference water index. Remote Sens. Environ., 104.","DOI":"10.1016\/j.rse.2006.05.015"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1479","DOI":"10.1080\/01431160802541549","article-title":"Satellite-derived 2003 wildfires in southern Siberia and their potential influence on carbon sequestration","volume":"30","author":"Huang","year":"2009","journal-title":"Int. J. Remote Sens."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1939","DOI":"10.1080\/01431160310001609725","article-title":"AVHRR-derived fire frequency, distribution and area burned in Siberia","volume":"25","author":"Soja","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"546","DOI":"10.1016\/j.rse.2004.08.011","article-title":"AVHRR-based mapping of fires in Russia: New products for fire management and carbon cycle studies","volume":"93","author":"Sukhinin","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Mueller, L., Sheudshen, A.K., and Eulenstein, F. (2016). Multi-Source Data Integration and Analysis for Land Monitoring in Siberia. Novel Methods for Monitoring and Managing Land and Water Resources in Siberia, Springer International Publishing.","DOI":"10.1007\/978-3-319-24409-9"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.foreco.2012.07.033","article-title":"A comparison of Canadian and Russian boreal forest fire regimes","volume":"294","author":"Cantin","year":"2013","journal-title":"For. Ecol. Manag."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Ponomarev, E.I., Kharuk, V.I., and Ranson, K.J. (2016). Wildfires dynamics in Siberian larch forests. Forests, 7.","DOI":"10.3390\/f7060125"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1139\/cjfr-2012-0367","article-title":"Fire emissions estimates in Siberia: Evaluation of uncertainties in area burned, land cover, and fuel consumption","volume":"43","author":"Kukavskaya","year":"2012","journal-title":"Can. J. For. Res."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Soja, A.J., Cofer, W.R., Shugart, H.H., Sukhinin, A.I., Stackhouse, P.W., McRae, D.J., and Conard, S.G. (2004). Estimating fire emissions and disparities in boreal Siberia (1998\u20132002). J. Geophys. Res. D Atmos., 109.","DOI":"10.1029\/2004JD004570"},{"key":"ref_54","unstructured":"Goldammer, J.G., Stocks, B.J., Sukhinin, A.I., and Ponomarev, E. (2013). Current Fire Regimes, Impacts and the Likely Changes\u2014II: Forest Fires in Russia\u2014Past and Current Trends. Vegetation Fires and Global Change: Challenges for Concerted International Action, Global Fire Monitoring Center."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1175\/1087-3562(2004)8<1:TROTTM>2.0.CO;2","article-title":"MODIS Fire Product and Anthropogenic Features in the Central Siberian Landscape","volume":"8","author":"Kovacs","year":"2004","journal-title":"Earth Interact."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1071\/WF9980103","article-title":"Patterns of Lightning-, and People-Caused Fires in Peninsular Spain","volume":"8","author":"Vazquez","year":"1998","journal-title":"Int. J. Wildland Fire"},{"key":"ref_57","unstructured":"Intergovernmental Panel on Climate Change (2014). Climate Change 2014: Impacts, Adaptation, and Vulnerability. Summaries, Frequently Asked Questions, and Cross-Chapter Boxes, IPCC."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Pedelty, J., Devadiga, S., Masuoka, E., Brown, M., Pinzon, J., Tucker, C., Vermote, E., Prince, S., Nagol, J., and Justice, C. (2007, January 23\u201328). Generating a long-term land data record from the AVHRR and MODIS instruments. Proceedings of the Geoscience and Remote Sensing Symposium, Barcelona, Spain.","DOI":"10.1109\/IGARSS.2007.4422974"},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Chuvieco, E. (2008). Satellite Observation of Biomass Burning. Earth Observation of Global Change: The Role of Satellite Remote Sensing in Monitoring the Global Environment, Springer.","DOI":"10.1007\/978-1-4020-6358-9"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1109","DOI":"10.1046\/j.1365-2699.2003.00901.x","article-title":"A comparison of taiga flora in north-eastern Russia and Alaska\/Yukon","volume":"30","author":"Swanson","year":"2003","journal-title":"J. Biogeogr."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"656","DOI":"10.1175\/1520-0426(1999)016<0656:SBAIEO>2.0.CO;2","article-title":"Scientific Basis and Initial Evaluation of the CLAVR-1 Global Clear\/Cloud Classifcation Algorithm for the Advanced Very High Resolution Radiometer","volume":"16","author":"Stowe","year":"1999","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/S0034-4257(98)00016-9","article-title":"Compositing Criteria for Burned Area Assessment Using Multitemporal Low Resolution Satellite Data","volume":"65","author":"Barbosa","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"1013","DOI":"10.1080\/01431160412331299235","article-title":"AVHRR multitemporal compositing techniques for burned land mapping","volume":"26","author":"Chuvieco","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"1157","DOI":"10.1109\/JSTARS.2013.2292853","article-title":"The synergy of the 0.05\u00b0 (~5 km) AVHRR long-term data record (LTDR) and landsat TM archive to map large fires in the North American boreal region from 1984 to 1998","volume":"7","author":"Riano","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2008JD011361","article-title":"Comparison of L3JRC and MODIS global burned area products from 2000 to 2007","volume":"114","author":"Chang","year":"2009","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_66","first-page":"11577","article-title":"Assessing variability and long-term trends in burned area by merging multiple satellite fire products","volume":"6","author":"Giglio","year":"2009","journal-title":"Biogeosci. Discuss."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"N\u00fa\u00f1ez-Casillas, L., Garc\u00eda L\u00e1zaro, J.R., Moreno-Ruiz, J.A., and Arbelo, M. (2013). A comparative analysis of burned area datasets in canadian boreal forest in 2000. Sci. World J., 2013.","DOI":"10.1155\/2013\/289056"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1023\/A:1020207710195","article-title":"Determining effects of area burned and fire severity on Carbon Cycling and Emissions in Siberia","volume":"55","author":"Conard","year":"2002","journal-title":"Clim. Chang."},{"key":"ref_69","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_70","doi-asserted-by":"crossref","first-page":"1269","DOI":"10.1080\/01431160151144341","article-title":"Improved calibration coefficients for NOAA-14 AVHRR visible and near-infrared channels","volume":"22","author":"Tahnk","year":"2001","journal-title":"Int. J. Remote Sens."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1071\/WF08187","article-title":"Implications of changing climate for global wildland fire","volume":"18","author":"Flannigan","year":"2009","journal-title":"Int. J. Wildland Fire"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"13055","DOI":"10.1073\/pnas.1305069110","article-title":"Recent burning of boreal forests exceeds fire regime limits of the past 10,000 years","volume":"110","author":"Kelly","year":"2013","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1038\/ngeo1027","article-title":"Recent acceleration of biomass burning and carbon losses in Alaskan forests and peatlands","volume":"4","author":"Turetsky","year":"2011","journal-title":"Nat. Geosci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/6\/940\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:08:38Z","timestamp":1760195318000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/6\/940"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,14]]},"references-count":73,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2018,6]]}},"alternative-id":["rs10060940"],"URL":"https:\/\/doi.org\/10.3390\/rs10060940","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6,14]]}}}