{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T22:14:30Z","timestamp":1762640070842,"version":"build-2065373602"},"reference-count":37,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"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":["42101414;41771504"],"award-info":[{"award-number":["42101414;41771504"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Natural Science Foundation of Jilin Province","award":["20200201214JC"],"award-info":[{"award-number":["20200201214JC"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Burning crop residues is a common way to remove them during the final stages of crop ripening in China. To conduct research effectively, it is critical to reliably and quantitatively estimate the extent and location of a burned area. Here, we investigated three publicly available burned area products\u2014MCD64A1, FireCCI 5.1, and the Copernicus Burnt Area\u2014and evaluated their relative performance at estimating total burned areas for cropland regions in China between 2015 and 2019. We compared these burned area products at a fine spatial and temporal scale using a grid system comprised of three-dimensional cells spanning both space and time. In general, the Copernicus Burnt Area product detected the largest annual average burned area (37,095.1 km2), followed by MCD64A1 (21,631.4 km2) and FireCCI 5.1 (12,547.99 km2). The Copernicus Burnt Area product showed a consistent pattern of monthly burned areas during the study period, whereas MCD64A1 and FireCCI 5.1 showed frequent changes in monthly burned area peaks. The greatest spatial differences between all three products occurred in Northeast and North China, where cultivated land is concentrated. The burned area detected by Copernicus in Xinjiang Province was larger than that detected by the other two products. In conclusion, we found that all three products underestimated the amount of crop residues present in a burned area. This limits the ability of end users to understand fire-related impacts and burned area characteristics, and hinders them in making an informed choice of which product is most appropriate for their application.<\/jats:p>","DOI":"10.3390\/rs14030693","type":"journal-article","created":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T22:16:18Z","timestamp":1643753778000},"page":"693","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Comparing the Ability of Burned Area Products to Detect Crop Residue Burning in China"],"prefix":"10.3390","volume":"14","author":[{"given":"Sumei","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China"}]},{"given":"Hongmei","family":"Zhao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China"}]},{"given":"Zehao","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China"}]},{"given":"Longda","family":"Tan","sequence":"additional","affiliation":[{"name":"College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,2,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1080\/17538947.2018.1433727","article-title":"Spatial and temporal intercomparison of four global burned area products","volume":"12","author":"Humber","year":"2019","journal-title":"Int. J. Digit. Earth."},{"key":"ref_2","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_3","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.rse.2004.02.015","article-title":"Analysis of the conflict between omission and commission in low spatial resolution dichotomic thematic products: The Pareto boundary","volume":"91","author":"Boschetti","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"D16106","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_5","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_6","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.rse.2014.01.008","article-title":"Validation of the 2008 MODIS MCD45 global burned area product using stratified random sampling","volume":"144","author":"Padilla","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_7","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_8","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1071\/WF19044","article-title":"Accuracy and spatiotemporal distribution of fire in the Brazilian biomes from the MODIS burned-area products","volume":"29","author":"Santana","year":"2020","journal-title":"Int. J. Wildland Fire."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"e2011160118","DOI":"10.1073\/pnas.2011160118","article-title":"African burned area and fire carbon emissions are strongly impacted by small fires undetected by coarse resolution satellite data","volume":"118","author":"Ramo","year":"2021","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_10","first-page":"102443","article-title":"Validation of MCD64A1 and FireCCI 51 cropland burned area mapping in Ukraine","volume":"102","author":"Hall","year":"2021","journal-title":"Int. J. Appl. Earth. Obs. Geoinf."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Pess\u00f4a, A., Anderson, L.O., Carvalho, N.S., Campanharo, W.A., and Arago, L.E.O.C. (2020). Intercomparison of Burned Area Products and Its Implication for Carbon Emission Estimations in the Amazon. Remote Sens., 12.","DOI":"10.3390\/rs12233864"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Valencia, G.M., Anaya, J.A., Vel\u00e1squez, V.A., Ramo, R., and Caro-Lopera, F.J. (2020). About Validation-Comparison of Burned Area Product. Remote Sens., 12.","DOI":"10.3390\/rs12233972"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Belenguer-Plomer, M.A., Chuvieco, E., and Tanase, M.A. (2019). Temporal decorrelation of C-Band backscatter coefficient in Mediterranean burned areas. Remote Sens., 11.","DOI":"10.3390\/rs11222661"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/j.atmosenv.2019.04.039","article-title":"Spatial and temporal distribution of open bio-mass burning in China from 2013 to 2017","volume":"210","author":"Ke","year":"2019","journal-title":"Atmos. Environ."},{"key":"ref_15","first-page":"1","article-title":"Straw resource quantity and its regional distribution in China","volume":"3","author":"Bi","year":"2010","journal-title":"J. Agric. Mechanizat. Res."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1000","DOI":"10.1016\/j.scitotenv.2016.11.025","article-title":"A review of biomass burning: Emissions and impacts on air quality, health and climate in china","volume":"579","author":"Chen","year":"2017","journal-title":"Sci. Total Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1016\/j.foreco.2013.08.025","article-title":"Distribution characteristics and the influence factors of forest fires in China","volume":"310","author":"Tian","year":"2013","journal-title":"For. Ecol. Manag."},{"key":"ref_18","first-page":"191","article-title":"Spatio-temporal change of straw burning fire points in field of China from 2014 to 2018","volume":"35","author":"Zhang","year":"2019","journal-title":"Trans. Chin. Soc. Agric. Eng."},{"key":"ref_19","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_20","doi-asserted-by":"crossref","first-page":"815","DOI":"10.3390\/rs6010815","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":"Ruiz","year":"2014","journal-title":"Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Fornacca, D., Ren, G., and Xiao, W. (2017). Performance of Three MODIS Fire Products (MCD45A1, MCD64A1, MCD14ML), and ESA Fire_CCI in a Mountainous Area of Northwest Yunnan, China, Characterized by Frequent Small Fires. Remote Sens., 9.","DOI":"10.3390\/rs9111131"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"035015","DOI":"10.1088\/1748-9326\/abd3d1","article-title":"Evaluating accuracy of four MODIS-derived burned area products for tropical peatland and non-peatland fires","volume":"16","author":"Vetrita","year":"2021","journal-title":"Environ. Res. Lett."},{"key":"ref_23","unstructured":"Tansey, K., and Wolfs, D. (2017). Copernicus Global Land Service: Burnt Area and Seasonality Collection 300 m; Version 1; Algorithm Theoretical Basis Document, Zenodo."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.rse.2018.08.005","article-title":"The Collection 6 MODIS burned area mapping algorithm and product","volume":"217","author":"Giglio","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"111493","DOI":"10.1016\/j.rse.2019.111493","article-title":"A spatio-temporal active-fire clustering approach for global burned area mapping at 250m from MODIS data","volume":"236","author":"Ramo","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_26","unstructured":"Buchhorn, M., Bertels, L., Smets, B., De Roo, B., Lesiv, M., Tsendbazar, N.E., Masiliunas, D., and Linlin, L. (2020). Copernicus Global Land Service: Land Cover 100 m: Version 3 Globe 2015\u20132019: Algorithm Theoretical Basis Document, Zenodo."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1016\/j.rse.2016.09.016","article-title":"A stratified random sampling design in space and time for regional to global scale burned area product validation","volume":"186","author":"Boschetti","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_28","unstructured":"Tansey, K., Rasul, A., and Ibrahim, S. (2020). Scientific Quality Evaluation Report 2019 Burned Areas 300 m V1, Zenodo."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Zhang, T., Wooster, M.J., De Jong, M.C., and Xu, W. (2018). How well does the \u2018small fire boost\u2019methodology used within the GFED4. 1s fire emissions database represent the timing, location and magnitude of agricultural burning?. Remote Sens., 10.","DOI":"10.3390\/rs10060823"},{"key":"ref_30","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 \u03bcm MODIS imagery","volume":"7","author":"Libonati","year":"2015","journal-title":"Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.rse.2015.03.011","article-title":"Global burned area mapping from ENVISAT-MERIS and MODIS active fire data","volume":"163","author":"Chuvieco","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1016\/j.rse.2004.06.023","article-title":"Modeling and sensitivity analysis of fire emissions in southern Africa during SAFARI 2000","volume":"92","author":"Korontzi","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"4181","DOI":"10.1038\/s41598-017-03739-0","article-title":"Size-dependent validation of MODIS MCD64A1 burned area over six vegetation types in boreal Eurasia: Large underestimation in croplands","volume":"7","author":"Zhu","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"112115","DOI":"10.1016\/j.rse.2020.112115","article-title":"A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas","volume":"252","author":"Campagnolo","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_35","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_36","doi-asserted-by":"crossref","first-page":"5701","DOI":"10.1016\/j.scitotenv.2009.07.009","article-title":"The spatial and temporal distribution of crop residue burning in the contiguous United States","volume":"407","author":"McCarty","year":"2009","journal-title":"Sci. Total 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."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/3\/693\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:12:30Z","timestamp":1760134350000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/3\/693"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,1]]},"references-count":37,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2022,2]]}},"alternative-id":["rs14030693"],"URL":"https:\/\/doi.org\/10.3390\/rs14030693","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2022,2,1]]}}}