{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T04:42:37Z","timestamp":1773204157397,"version":"3.50.1"},"reference-count":42,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2023,2,23]],"date-time":"2023-02-23T00:00:00Z","timestamp":1677110400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Sichuan Science and Technology Program","award":["2021YJ0375"],"award-info":[{"award-number":["2021YJ0375"]}]},{"name":"Sichuan Science and Technology Program","award":["E0R2170"],"award-info":[{"award-number":["E0R2170"]}]},{"name":"Sichuan Science and Technology Program","award":["SDS-QN-1904"],"award-info":[{"award-number":["SDS-QN-1904"]}]},{"name":"Chinese Academy of Sciences (CAS) \u201cLight of West China\u201d Program","award":["2021YJ0375"],"award-info":[{"award-number":["2021YJ0375"]}]},{"name":"Chinese Academy of Sciences (CAS) \u201cLight of West China\u201d Program","award":["E0R2170"],"award-info":[{"award-number":["E0R2170"]}]},{"name":"Chinese Academy of Sciences (CAS) \u201cLight of West China\u201d Program","award":["SDS-QN-1904"],"award-info":[{"award-number":["SDS-QN-1904"]}]},{"name":"Youth Fund of Institute of Mountain Hazards and Environment, Chinese Academy of Sciences","award":["2021YJ0375"],"award-info":[{"award-number":["2021YJ0375"]}]},{"name":"Youth Fund of Institute of Mountain Hazards and Environment, Chinese Academy of Sciences","award":["E0R2170"],"award-info":[{"award-number":["E0R2170"]}]},{"name":"Youth Fund of Institute of Mountain Hazards and Environment, Chinese Academy of Sciences","award":["SDS-QN-1904"],"award-info":[{"award-number":["SDS-QN-1904"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Fire severity mapping can capture heterogeneous fire severity patterns over large spatial extents. Although numerous remote sensing approaches have been established, regional-scale fire severity mapping at fine spatial scales (&lt;5 m) from high-resolution satellite images is challenging. The fire severity of a vast forest fire that occurred in Southwest China was mapped at 2 m spatial resolution by random forest models using Sentinel 2 and GF series remote sensing images. This study demonstrated that using the combination of Sentinel 2 and GF series satellite images showed some improvement (from 85% to 91%) in global classification accuracy compared to using only Sentinel 2 images. The classification accuracy of unburnt, moderate, and high severity classes was significantly higher (&gt;85%) than the accuracy of low severity classes in both cases. Adding high-resolution GF series images to the training dataset reduced the probability of low severity being under-predicted and improved the accuracy of the low severity class from 54.55% to 72.73%. RdNBR was the most important feature, and the red edge bands of Sentinel 2 images had relatively high importance. Additional studies are needed to explore the sensitivity of different spatial scales satellite images for mapping fire severity at fine spatial scales across various ecosystems.<\/jats:p>","DOI":"10.3390\/s23052492","type":"journal-article","created":{"date-parts":[[2023,2,24]],"date-time":"2023-02-24T02:03:26Z","timestamp":1677204206000},"page":"2492","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Mapping Fire Severity in Southwest China Using the Combination of Sentinel 2 and GF Series Satellite Images"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1322-9942","authenticated-orcid":false,"given":"Xiyu","family":"Zhang","sequence":"first","affiliation":[{"name":"Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China"}]},{"given":"Jianrong","family":"Fan","sequence":"additional","affiliation":[{"name":"Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China"}]},{"given":"Jun","family":"Zhou","sequence":"additional","affiliation":[{"name":"Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China"}]},{"given":"Linhua","family":"Gui","sequence":"additional","affiliation":[{"name":"Sichuan Forestry and Grassland Inventory and Planning Institute, Chengdu 610081, China"}]},{"given":"Yongqing","family":"Bi","sequence":"additional","affiliation":[{"name":"Sichuan Chuanjian Geotechnical Survey Design Institute Co., Ltd., Chengdu 610000, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1479","DOI":"10.1007\/s10346-022-01867-x","article-title":"Evolutionary History of Post-Fire Debris Flows in Ren\u2019e Yong Valley in Sichuan Province of China","volume":"19","author":"Wang","year":"2022","journal-title":"Landslides"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Sazeides, C.I., Christopoulou, A., and Fyllas, N.M. 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