{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:07:58Z","timestamp":1755907678654,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T00:00:00Z","timestamp":1695340800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,9,22]]},"DOI":"10.1145\/3627377.3627433","type":"proceedings-article","created":{"date-parts":[[2023,12,4]],"date-time":"2023-12-04T12:08:25Z","timestamp":1701691705000},"page":"360-364","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Pixel-wise Wildfire Burn Severity Classification with Bi-temporal Sentinel-2 Data and Deep Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-1043-8256","authenticated-orcid":false,"given":"Mingda","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Earth, Atmosphere and Environment, Noethern Illinois University, USA and Spatial Computing and Data Mining Lab, University of Wisconsin-Madison, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3499-7294","authenticated-orcid":false,"given":"Qunying","family":"Huang","sequence":"additional","affiliation":[{"name":"Spatial Computing and Data Mining Lab, University of Wisconsin-Madison, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6685-2660","authenticated-orcid":false,"given":"Tang","family":"Sui","sequence":"additional","affiliation":[{"name":"College of Surveying and Geo-informatics, Tongji University, China and Spatial Computing and Data Mining Lab, University of Wisconsin-Madison, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5246-4603","authenticated-orcid":false,"given":"Meiliu","family":"Wu","sequence":"additional","affiliation":[{"name":"Spatial Computing and Data Mining Lab, University of Wisconsin-Madison, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,12,4]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Random forests. Machine learning 45","author":"Breiman Leo","year":"2001","unstructured":"Leo Breiman. 2001. Random forests. Machine learning 45 (2001), 5\u201332."},{"volume-title":"Algorithms for multispectral, hyperspectral, and ultraspectral imagery VII, Vol.\u00a04381","author":"Brumby P","key":"e_1_3_2_1_2_1","unstructured":"Steven\u00a0P Brumby, Neal\u00a0R Harvey, Jeffrey\u00a0J Bloch, James\u00a0P Theiler, Simon\u00a0J Perkins, Aaron\u00a0Cody Young, and John\u00a0J Szymanski. 2001. Evolving forest fire burn severity classification algorithms for multispectral imagery. In Algorithms for multispectral, hyperspectral, and ultraspectral imagery VII, Vol.\u00a04381. SPIE, 236\u2013245."},{"key":"e_1_3_2_1_3_1","unstructured":"CA.Gov. 2020. August Complex (includes Doe Fire) | CAL FIRE. https:\/\/www.fire.ca.gov\/incidents\/2020\/8\/16\/august-complex-includes-doe-fire\/"},{"key":"e_1_3_2_1_4_1","unstructured":"CA.Gov. 2022. Mosquito Fire | CAL FIRE. https:\/\/www.fire.ca.gov\/incidents\/2022\/9\/6\/mosquito-fire\/"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs14153591"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2022.12.026"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5120\/ijca2017913083"},{"key":"e_1_3_2_1_9_1","volume-title":"Use of remote sensing in wildfire management. Sustainable development-authoritative and leading edge content for environmental management","author":"Leblon Brigitte","year":"2012","unstructured":"Brigitte Leblon, Laura Bourgeau-Chavez, and Jes\u00fas San-Miguel-Ayanz. 2012. Use of remote sensing in wildfire management. Sustainable development-authoritative and leading edge content for environmental management (2012), 55\u201382."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"e_1_3_2_1_11_1","volume-title":"Spatial and temporal pattern of wildfires in California from 2000 to","author":"Li Shu","year":"2019","unstructured":"Shu Li and Tirtha Banerjee. 2021. Spatial and temporal pattern of wildfires in California from 2000 to 2019. Scientific reports 11, 1 (2021), 8779."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs11050489"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-009-9114-9"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.2737\/RMRS-GTR-164"},{"key":"e_1_3_2_1_16_1","volume-title":"Attention u-net: Learning where to look for the pancreas. arXiv preprint arXiv:1804.03999","author":"Oktay Ozan","year":"2018","unstructured":"Ozan Oktay, Jo Schlemper, Loic\u00a0Le Folgoc, Matthew Lee, Mattias Heinrich, Kazunari Misawa, Kensaku Mori, Steven McDonagh, Nils\u00a0Y Hammerla, Bernhard Kainz, 2018. Attention u-net: Learning where to look for the pancreas. arXiv preprint arXiv:1804.03999 (2018)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-005-6704-1"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3047677"},{"key":"e_1_3_2_1_19_1","volume-title":"U-net: Convolutional networks for biomedical image segmentation. In Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015: 18th International Conference","author":"Ronneberger Olaf","year":"2015","unstructured":"Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015. U-net: Convolutional networks for biomedical image segmentation. In Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18. Springer, 234\u2013241."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1063\/1.4987107"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs13020220"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.5555\/211359"},{"key":"e_1_3_2_1_23_1","unstructured":"Jirapa\u00a0Jamp Vongkusolkit. 2022. Physics-Informed Weakly Supervised Learning for Near Real-Time Flood Mapping. Ph.\u00a0D. Dissertation."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.07.042"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2021.112467"}],"event":{"name":"ICBDT 2023: 2023 6th International Conference on Big Data Technologies","acronym":"ICBDT 2023","location":"Qingdao China"},"container-title":["Proceedings of the 2023 6th International Conference on Big Data Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627377.3627433","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3627377.3627433","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T16:19:55Z","timestamp":1755879595000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627377.3627433"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,22]]},"references-count":25,"alternative-id":["10.1145\/3627377.3627433","10.1145\/3627377"],"URL":"https:\/\/doi.org\/10.1145\/3627377.3627433","relation":{},"subject":[],"published":{"date-parts":[[2023,9,22]]},"assertion":[{"value":"2023-12-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}