{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T14:50:40Z","timestamp":1779893440722,"version":"3.53.1"},"reference-count":50,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2020,2,21]],"date-time":"2020-02-21T00:00:00Z","timestamp":1582243200000},"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":["41801315"],"award-info":[{"award-number":["41801315"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the program of China Scholarships Council","award":["201908510029"],"award-info":[{"award-number":["201908510029"]}]},{"name":"the Open Research Fund of Chongqing Meteorological Bureau","award":["KFJJ-201705"],"award-info":[{"award-number":["KFJJ-201705"]}]},{"name":"the Project Supported by the Scientific Research Foundation of CUIT","award":["KYTZ201742"],"award-info":[{"award-number":["KYTZ201742"]}]},{"name":"the Scientific Research Projects of Sichuan Provincial Department of Education","award":["18ZB0128"],"award-info":[{"award-number":["18ZB0128"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In recent years, global forest fires have occurred more frequently, seriously destroying the structural functions of forest ecosystem. Mapping the burn severity after forest fires is of great significance for quantifying fire\u2019s effects on landscapes and establishing restoration measures. Generally, intensive field surveys across burned areas are required for the effective application of traditional methods. Unfortunately, this requirement could not be satisfied in most cases, since the field work demands a lot of personnel and funding. For mapping severity levels across burned areas without field survey data, a semi-supervised transfer component analysis-based support vector regression model (SSTCA-SVR) was proposed in this study to transfer knowledge trained from other burned areas with field survey data. Its performance was further evaluated in various eco-type regions of southwestern United States. Results show that SSTCA-SVR which was trained on source domain areas could effectively be transferred to a target domain area. Meanwhile, the SSTCA-SVR could maintain as much spectral information as possible to map burn severity. Its mapped results are more accurate (RMSE values were between 0.4833 and 0.6659) and finer, compared to those mapped by \u2206NDVI-, \u2206LST-, \u2206NBR- (RMSE values ranged from 0.7362 to 1.1187) and SVR-based models (RMSE values varied from 1.7658 to 2.0055). This study has introduced a potentially efficient mechanism to map burn severity, which will speed up the response of post-fire management.<\/jats:p>","DOI":"10.3390\/rs12040708","type":"journal-article","created":{"date-parts":[[2020,2,21]],"date-time":"2020-02-21T08:59:47Z","timestamp":1582275587000},"page":"708","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["A New Model for Transfer Learning-Based Mapping of Burn Severity"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8603-7335","authenticated-orcid":false,"given":"Zhong","family":"Zheng","sequence":"first","affiliation":[{"name":"College of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, China"},{"name":"Department of Geography, The University of Western Ontario, London, ON N6A 5C2, Canada"},{"name":"Chongqing Institute of Meteorological Sciences, Chongqing 401147, China"},{"name":"School of Geographical Sciences, Southwest University, Chongqing 400715, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8404-0530","authenticated-orcid":false,"given":"Jinfei","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Geography, The University of Western Ontario, London, ON N6A 5C2, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Shan","sequence":"additional","affiliation":[{"name":"Department of Geography, The University of Western Ontario, London, ON N6A 5C2, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1656-560X","authenticated-orcid":false,"given":"Yongjun","family":"He","sequence":"additional","affiliation":[{"name":"Department of Geography, The University of Western Ontario, London, ON N6A 5C2, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5504-206X","authenticated-orcid":false,"given":"Chunhua","family":"Liao","sequence":"additional","affiliation":[{"name":"Department of Geography, The University of Western Ontario, London, ON N6A 5C2, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanghua","family":"Gao","sequence":"additional","affiliation":[{"name":"Chongqing Institute of Meteorological Sciences, Chongqing 401147, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shiqi","family":"Yang","sequence":"additional","affiliation":[{"name":"Chongqing Institute of Meteorological Sciences, Chongqing 401147, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,2,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1126\/science.263.5144.185","article-title":"Carbon pools and flux of global forest ecosystems","volume":"263","author":"Dixon","year":"1994","journal-title":"Science"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"107795","DOI":"10.1016\/j.agrformet.2019.107795","article-title":"Co-elevated CO2 and temperature and changed water availability do not change litter quantity and quality of pine and oak","volume":"280","author":"Park","year":"2020","journal-title":"Agric. 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