{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T06:37:42Z","timestamp":1782974262200,"version":"3.54.5"},"reference-count":57,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2021,3,28]],"date-time":"2021-03-28T00:00:00Z","timestamp":1616889600000},"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>Fire is one of the most widespread and destructive disasters, which causes property losses, casualties, and disruption of the balance of ecosystems. Therefore, it is highly necessary for firefighting to study the variations in fire and its climatic attributions. This study analyzed the characteristics of fire-burned area (BA) and its response to climatic factors in seven subregions of China from 2001 to 2018 using satellite remote sensing BA products. The results show that the BA in China and most of its subregions shows a decreasing trend. In general, it is negatively correlated with precipitation and positively correlated with air temperature and wind speed based on the regression and correlation analyses. Based on Pearson correlation and random forest methods, it is also found that the temperature is commonly an important factor contributing to BA in China, except for R2 (Inner Mongolia region), where wind speed is more important, and R5 (South China), where precipitation is more important, which coexists at annual and seasonal scales. Besides temperature, precipitation in spring and summer is the main driving factor, such as in R1 (Northeast China), R5, R6 (Northwest China) and R7 (Qinghai\u2013Tibet Plateau) in spring and R4 (Central China), R5 and R7 in summer; and wind speed in autumn and winter is the main driving factor, such as in R2 and R4 in autumn and R2, R3, R5, R6 and R7 in winter. Finally, the distributions of BA with respect to each climatic factor were also analyzed to quantify the range of climatic factors with maximum BA occurrence.<\/jats:p>","DOI":"10.3390\/rs13071287","type":"journal-article","created":{"date-parts":[[2021,3,28]],"date-time":"2021-03-28T23:27:25Z","timestamp":1616974045000},"page":"1287","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Satellite-Derived Variation in Burned Area in China from 2001 to 2018 and Its Response to Climatic Factors"],"prefix":"10.3390","volume":"13","author":[{"given":"Xiaoxiao","family":"Wang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0188-0479","authenticated-orcid":false,"given":"Zhenhua","family":"Di","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mei","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunjun","family":"Yao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,3,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2839","DOI":"10.1080\/01431160121183","article-title":"Monitoring fire danger of northern boreal forests with NOAA-AVHRR NDVI images","volume":"22","author":"Leblon","year":"2001","journal-title":"Int. J. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1023\/A:1005306001055","article-title":"Climate change and forest fire potential in Russian and Canadian boreal forests","volume":"38","author":"Stocks","year":"1998","journal-title":"Clim. Chang."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0304-3800(02)00386-1","article-title":"Spatial patterns of lightning-caused forest fires in Ontario, 1976\u20131998","volume":"164","author":"Podur","year":"2003","journal-title":"Ecol. Model."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/j.foreco.2008.04.030","article-title":"Soil nutrients and microbial activity after early and late season prescribed burns in a Sierra Nevada mixed conifer forest","volume":"256","author":"Hamman","year":"2008","journal-title":"For. Ecol. Manag."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1016\/j.foreco.2018.05.020","article-title":"Forest fire characteristics in China: Spatial patterns and determinants with thresholds","volume":"424","author":"Ying","year":"2018","journal-title":"For. Ecol. Manag."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1046\/j.1466-822X.2001.00175.x","article-title":"The role of fire disturbance for global vegetation dynamics: Coupling fire into a Dynamic Global Vegetation Model","volume":"10","author":"Thonicke","year":"2001","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"707","DOI":"10.1016\/j.foreco.2007.09.044","article-title":"Fire history and the structure and dynamics of a mixed conifer forest landscape in the northern Sierra Nevada, Lake Tahoe Basin, California, USA","volume":"255","author":"Beaty","year":"2008","journal-title":"For. Ecol. Manag."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2008JG000911","article-title":"Forest disturbance and recovery: A general review in the context of spaceborne remote sensing of impacts on aboveground biomass and canopy structure","volume":"114","author":"Frolking","year":"2009","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1890\/0012-9615(1997)067[0251:CSVIEP]2.0.CO;2","article-title":"Continental scale variability in ecosystem processes: Models, data, and the role of disturbance","volume":"67","author":"Schimel","year":"1997","journal-title":"Ecol. Monogr."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1126\/science.1163886","article-title":"Fire in the earth system","volume":"324","author":"Bowman","year":"2009","journal-title":"Science"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.1016\/j.rse.2010.01.001","article-title":"Assessment of tropical forest degradation by selective logging and fire using landsat imagery","volume":"114","author":"Matricardi","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"4473","DOI":"10.3390\/rs70404473","article-title":"Forest fire smoke detection using back-propagation neural network based on MODIS Data","volume":"7","author":"Li","year":"2015","journal-title":"Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/S0379-7112(02)00079-6","article-title":"Statistical analysis on current status of China forest fire safety","volume":"38","author":"Zhong","year":"2003","journal-title":"Fire Saf. J."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.foreco.2015.06.010","article-title":"Global forest area disturbance from fire, insect pests, diseases and severe weather events","volume":"352","author":"Lierop","year":"2015","journal-title":"For. Ecol. Manag."},{"key":"ref_15","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_16","doi-asserted-by":"crossref","first-page":"3690","DOI":"10.1016\/j.rse.2008.05.013","article-title":"The collection 5 MODIS burned area product-Global evaluation by comparison with the MODIS active fire product","volume":"112","author":"Roy","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_17","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_18","doi-asserted-by":"crossref","first-page":"2015","DOI":"10.5194\/essd-10-2015-2018","article-title":"Generation and analysis of a new global burned area product based on MODIS 250 m reflectance bands and thermal anomalies","volume":"10","author":"Chuvieco","year":"2018","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_19","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 250 m from MODIS data","volume":"236","author":"Ramo","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1007\/s10584-011-0112-y","article-title":"Observational and model evidence of global emergence of permanent, unprecedented heat in the 20th and 21st centuries","volume":"107","author":"Diffenbaugh","year":"2011","journal-title":"Clim. Chang."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Zhang, L., Pan, T., Zhang, H., Li, X., and Jiang, L. (2017). The effects of forest area changes on extreme temperature indexes between the 1900s and 2010s in Heilongjiang province, China. Remote Sens., 9.","DOI":"10.3390\/rs9121280"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"940","DOI":"10.1126\/science.1128834","article-title":"Warming and earlier spring increase western U.S. forest wildfire activity","volume":"313","author":"Westerling","year":"2006","journal-title":"Science"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1003","DOI":"10.1890\/07-1183.1","article-title":"Climate and wildfire area burned in western U.S. ecoprovinces, 1916\u20132003","volume":"19","author":"Littell","year":"2009","journal-title":"Ecol. Appl."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1071\/WF03052","article-title":"Seasonal fire danger forecasts for the USA","volume":"14","author":"Roads","year":"2005","journal-title":"Int. J. Wildland Fire"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1020","DOI":"10.1175\/JAM2513.1","article-title":"Statistical model for forecasting monthly large wildfire events in western United States","volume":"46","author":"Preisler","year":"2007","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1023\/B:CLIM.0000018508.94901.9c","article-title":"Changes in fire and climate in the eastern Iberian Peninsula (Mediterranean Basin)","volume":"63","author":"Pausas","year":"2004","journal-title":"Clim. Chang."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1071\/WF07024","article-title":"Climate drivers of regionally synchronous fires in the inland Northwest (1651\u20131900)","volume":"17","author":"Heyerdahl","year":"2008","journal-title":"Int. J. Wildland Fire"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1126\/science.1247355","article-title":"Savanna vegetation-fire-climate relationships differ among continents","volume":"343","author":"Lehmann","year":"2014","journal-title":"Science"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1989","DOI":"10.1007\/s10980-013-9935-4","article-title":"Predicting fire occurrence patterns with logistic regression in Heilongjiang Province, China","volume":"28","author":"Chang","year":"2013","journal-title":"Landsc. Ecol."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Ying, L., Shen, Z., Yang, M., and Piao, S. (2019). Wildfire detection probability of MODIS fire products under the constraint of environmental factors: A study based on confirmed ground wildfire records. Remote Sens., 11.","DOI":"10.3390\/rs11243031"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1879","DOI":"10.1007\/s11069-016-2160-0","article-title":"Building probabilistic models of fire occurrence and fire risk zoning using logistic regression in Shanxi Province, China","volume":"81","author":"Pan","year":"2016","journal-title":"Nat. Hazards"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1016\/j.scitotenv.2014.06.011","article-title":"Relative effects of climatic and local factors on fire occurrence in boreal forest landscapes of northeastern china","volume":"493","author":"Wu","year":"2014","journal-title":"Sci. Total Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s11676-011-0158-8","article-title":"The impact of climate change on forest fire danger rating in China\u2019s boreal forest","volume":"22","author":"Guang","year":"2011","journal-title":"J. For. Res."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2041","DOI":"10.1111\/j.1365-2486.2012.02649.x","article-title":"Spatial patterns and drivers of fire occurrence and its future trend under climate change in a boreal forest of Northeast China","volume":"18","author":"Liu","year":"2012","journal-title":"Glob. Chang. Biol."},{"key":"ref_35","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_36","doi-asserted-by":"crossref","unstructured":"Zhang, T., Wooster, M.J., Jong, M.C.D., and Xu, W. (2018). How well does the \u2018small fire boost\u2019 methodology 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_37","first-page":"1396","article-title":"Study on the relationship among forest fire, temperature and precipitation and its spatial-temporal variability in China","volume":"12","author":"Lv","year":"2011","journal-title":"Agric. Sci. Technol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.foreco.2015.07.012","article-title":"Environmental controls on the characteristics of mean number of forest fires and mean forest area burned (1987\u20132007) in China","volume":"356","author":"Chang","year":"2015","journal-title":"For. Ecol. Manag."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1071\/WF15213","article-title":"Spatial distribution and temporal variability of open fire in China","volume":"26","author":"Yi","year":"2017","journal-title":"Int. J. Wildland Fire"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Ma, W., Feng, Z., Cheng, Z., Chen, S., and Wang, F. (2020). Identifying Forest Fire Driving Factors and Related Impacts in China Using Random Forest Algorithm. Forests, 11.","DOI":"10.3390\/f11050507"},{"key":"ref_41","unstructured":"Chuvieco, E., Pettinari, M.L., Lizundia-Loiola, J., Storm, T., and Padilla Parellada, M. (2018). ESA Fire Climate Change Initiative (Fire_cci): MODIS Fire cci Burned Area Pixel Product, Centre for Environmental Data Analysis. Version 5.1."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1999","DOI":"10.1002\/qj.3803","article-title":"The ERA5 global reanalysis","volume":"146","author":"Hersbach","year":"2020","journal-title":"Q. J. R. Meteor. Soc."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"4347","DOI":"10.1175\/JCLI-D-17-0212.1","article-title":"Evaluation of spatial and temporal performances of ERA-Interim precipitation and temperature in mainland China","volume":"31","author":"Liu","year":"2018","journal-title":"J. Clim."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Yu, J., Zhou, T., Jiang, Z., and Zou, L. (2019). Evaluation of Near-Surface Wind Speed Changes during 1979 to 2011 over China Based on Five Reanalysis Datasets. Atmosphere, 10.","DOI":"10.3390\/atmos10120804"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Jiang, Q., Li, W., Fan, Z., He, X., Sun, W., Chen, S., Wen, J., Gao, J., and Wang, J. (2020). Evaluation of the ERA5 reanalysis precipitation dataset over Chinese mainland. J. Hydrol.","DOI":"10.1016\/j.jhydrol.2020.125660"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Wang, Q., Li, W., Xiao, C., and Ai, W. (2020). Evaluation of High-Resolution Crop Model Meteorological Forcing Datasets at Regional Scale: Air Temperature and Precipitation over Major Land Areas of China. Atmosphere, 11.","DOI":"10.3390\/atmos11091011"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.rse.2009.08.016","article-title":"MODIS collection 5 global land cover: Algorithm refinements and characterization of new datasets","volume":"114","author":"Friedl","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_48","first-page":"1013","article-title":"The IGBP-DIS global 1-km land-cover data set DIScover: A project overview","volume":"65","author":"Belward","year":"1999","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1002\/sam.10103","article-title":"Random survival forests for highdimensional data","volume":"4","author":"Ishwaran","year":"2011","journal-title":"Stat. Anal. Data Min."},{"key":"ref_50","first-page":"89","article-title":"Application of random forest algorithm on the forest fire prediction in Tahe area based on meteorological factors","volume":"52","author":"Liang","year":"2016","journal-title":"Sci. Silvae Sin."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.apgeog.2017.05.013","article-title":"Mapping fire regimes in China using MODIS active fire and burned area data","volume":"85","author":"Chen","year":"2017","journal-title":"Appl. Geogr."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"821","DOI":"10.1002\/joc.4742","article-title":"Recent and future changes in the combination of annual temperature and precipitation throughout China","volume":"37","author":"Liu","year":"2017","journal-title":"Int. J. Climatol."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/S0379-7112(97)00007-6","article-title":"Progress and problems of fire protection in China","volume":"28","author":"Wang","year":"1997","journal-title":"Fire Saf. J."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1016\/j.ssci.2003.10.003","article-title":"China: Some key technologies and the future developments of fire safety science","volume":"42","author":"Zhong","year":"2004","journal-title":"Saf. Sci."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1007\/s11069-014-1507-7","article-title":"Spatial and temporal characteristics of drought in the northeast China Transect","volume":"76","author":"Wang","year":"2015","journal-title":"Nat. Hazards"},{"key":"ref_56","first-page":"1077","article-title":"Spatial and temporal distribution characteristics of drought and its relationship with meteorological factors in Xinjiang in last 17 years","volume":"40","author":"Huang","year":"2020","journal-title":"Acta Ecol. Sin."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1071\/WF15121","article-title":"What drives forest fire in Fujian, China? Evidence from logistic regression and random forests","volume":"25","author":"Guo","year":"2016","journal-title":"Int. J. Wildland Fire"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/7\/1287\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T14:10:15Z","timestamp":1760364615000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/7\/1287"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,28]]},"references-count":57,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2021,4]]}},"alternative-id":["rs13071287"],"URL":"https:\/\/doi.org\/10.3390\/rs13071287","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3,28]]}}}