{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T18:56:25Z","timestamp":1771268185726,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":43,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T00:00:00Z","timestamp":1665964800000},"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":[[2022,10,17]]},"DOI":"10.1145\/3511808.3557528","type":"proceedings-article","created":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T01:22:22Z","timestamp":1665883342000},"page":"3893-3897","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery"],"prefix":"10.1145","author":[{"given":"Luca","family":"Colomba","sequence":"first","affiliation":[{"name":"Politecnico di Torino, Torino, Italy"}]},{"given":"Alessandro","family":"Farasin","sequence":"additional","affiliation":[{"name":"Politecnico di Torino, Torino, Italy"}]},{"given":"Simone","family":"Monaco","sequence":"additional","affiliation":[{"name":"Politecnico di Torino, Torino, Italy"}]},{"given":"Salvatore","family":"Greco","sequence":"additional","affiliation":[{"name":"Politecnico di Torino, Torino, Italy"}]},{"given":"Paolo","family":"Garza","sequence":"additional","affiliation":[{"name":"Politecnico di Torino, Torino, Italy"}]},{"given":"Daniele","family":"Apiletti","sequence":"additional","affiliation":[{"name":"Politecnico di Torino, Torino, Italy"}]},{"given":"Elena","family":"Baralis","sequence":"additional","affiliation":[{"name":"Politecnico di Torino, Torino, Italy"}]},{"given":"Tania","family":"Cerquitelli","sequence":"additional","affiliation":[{"name":"Politecnico di Torino, Torino, Italy"}]}],"member":"320","published-online":{"date-parts":[[2022,10,17]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Copernicus Emergency Management Service. Directorate Space, Security and Migration","year":"2022","unstructured":"2022. Copernicus Emergency Management Service. Directorate Space, Security and Migration , European Commission Joint Research Centre (EC JRC) . https:\/\/emergency.copernicus.eu\/. Accessed on March 1, 2022 . 2022. Copernicus Emergency Management Service. Directorate Space, Security and Migration, European Commission Joint Research Centre (EC JRC). https:\/\/emergency.copernicus.eu\/. Accessed on March 1, 2022."},{"key":"e_1_3_2_2_2_1","unstructured":"2022. Sentinel Hub. https:\/\/www.sentinel-hub.com\/. Accessed on March 1 2022.  2022. Sentinel Hub. https:\/\/www.sentinel-hub.com\/. Accessed on March 1 2022."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12145-019-00380-5"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8900399"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs13102001"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1071\/WF15122"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs4020456"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.02.027"},{"key":"e_1_3_2_2_9_1","first-page":"102400","article-title":"Monitoring the summer flooding in the Poyang Lake area of China in 2020 based on Sentinel-1 data and multiple convolutional neural networks","volume":"102","author":"Dong Zhen","year":"2021","unstructured":"Zhen Dong , Guojie Wang , Solomon Obiri Yeboah Amankwah , Xikun Wei , Yifan Hu , and Aiqing Feng . 2021 . Monitoring the summer flooding in the Poyang Lake area of China in 2020 based on Sentinel-1 data and multiple convolutional neural networks . Int. J. Appl. Earth Obs. Geoinf. 102 (2021), 102400 . Zhen Dong, Guojie Wang, Solomon Obiri Yeboah Amankwah, Xikun Wei, Yifan Hu, and Aiqing Feng. 2021. Monitoring the summer flooding in the Poyang Lake area of China in 2020 based on Sentinel-1 data and multiple convolutional neural networks. Int. J. Appl. Earth Obs. Geoinf. 102 (2021), 102400.","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs61212005"},{"key":"e_1_3_2_2_11_1","volume-title":"Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management (ISCRAM","author":"Farasin Alessandro","year":"2020","unstructured":"Alessandro Farasin , Luca Colomba , Giulio Palomba , Giovanni Nini , and Claudio Rossi . 2020 . Supervised Burned Areas delineation by means of Sentinel-2 imagery and Convolutional Neural Networks . In Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2020), Virginia Tech, Blacksburg, VA, USA. 24--27. Alessandro Farasin, Luca Colomba, Giulio Palomba, Giovanni Nini, and Claudio Rossi. 2020. Supervised Burned Areas delineation by means of Sentinel-2 imagery and Convolutional Neural Networks. In Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2020), Virginia Tech, Blacksburg, VA, USA. 24--27."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.geomorph.2017.06.002"},{"key":"e_1_3_2_2_13_1","volume-title":"BAIS2: Burned area index for Sentinel-2. Multidisciplinary digital publishing institute proceedings 2, 7","author":"Filipponi Federico","year":"2018","unstructured":"Federico Filipponi . 2018. BAIS2: Burned area index for Sentinel-2. Multidisciplinary digital publishing institute proceedings 2, 7 ( 2018 ), 364. Federico Filipponi. 2018. BAIS2: Burned area index for Sentinel-2. Multidisciplinary digital publishing institute proceedings 2, 7 (2018), 364."},{"key":"e_1_3_2_2_14_1","volume-title":"Hotspot and NDVI differencing synergy (HANDS): A new technique for burned area mapping over boreal forest. Remote sensing of environment 74, 3","author":"Fraser RH","year":"2000","unstructured":"RH Fraser , Z Li , and J Cihlar . 2000. Hotspot and NDVI differencing synergy (HANDS): A new technique for burned area mapping over boreal forest. Remote sensing of environment 74, 3 ( 2000 ), 362--376. RH Fraser, Z Li, and J Cihlar. 2000. Hotspot and NDVI differencing synergy (HANDS): A new technique for burned area mapping over boreal forest. Remote sensing of environment 74, 3 (2000), 362--376."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1071\/WF08007"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9413346"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1071\/WF08013"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12145-015-0217-3"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ECTICon.2018.8619941"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs12152422"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecolmodel.2006.02.025"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2888641"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2845918"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2636227"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2784560"},{"key":"e_1_3_2_2_27_1","volume-title":"Regionally adaptable dNBRbased algorithm for burned area mapping from MODIS data. Remote sensing of environment 109, 4","author":"Loboda Tatiana","year":"2007","unstructured":"Tatiana Loboda , KJ O?neal, and I Csiszar . 2007. Regionally adaptable dNBRbased algorithm for burned area mapping from MODIS data. Remote sensing of environment 109, 4 ( 2007 ), 429--442. Tatiana Loboda, KJ O?neal, and I Csiszar. 2007. Regionally adaptable dNBRbased algorithm for burned area mapping from MODIS data. Remote sensing of environment 109, 4 (2007), 429--442."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1080\/15481603.2017.1354803"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1979.4310076"},{"key":"e_1_3_2_2_30_1","volume-title":"ISCRAM 2020 Conference Proceedings--17th International Conference on Information Systems for Crisis Response and Management. 1072--1083","author":"Palomba Giulio","year":"2020","unstructured":"Giulio Palomba , Alessandro Farasin , and Claudio Rossi . 2020 . Sentinel-1 flood delineation with supervised machine learning . In ISCRAM 2020 Conference Proceedings--17th International Conference on Information Systems for Crisis Response and Management. 1072--1083 . Giulio Palomba, Alessandro Farasin, and Claudio Rossi. 2020. Sentinel-1 flood delineation with supervised machine learning. In ISCRAM 2020 Conference Proceedings--17th International Conference on Information Systems for Crisis Response and Management. 1072--1083."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs6031827"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/36.739156"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2010.06.008"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs12040674"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs12040741"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.06.011"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs11091123"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs12020334"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1080\/01431161003752430"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2012.01.010"},{"key":"e_1_3_2_2_42_1","volume-title":"Fine-grained air quality inference with remote sensing data and ubiquitous urban data. ACM Transactions on Knowledge Discovery from Data (TKDD) 13, 5","author":"Xu Yanan","year":"2019","unstructured":"Yanan Xu , Yanmin Zhu , Yanyan Shen , and Jiadi Yu. 2019. Fine-grained air quality inference with remote sensing data and ubiquitous urban data. ACM Transactions on Knowledge Discovery from Data (TKDD) 13, 5 ( 2019 ), 1--27. Yanan Xu, Yanmin Zhu, Yanyan Shen, and Jiadi Yu. 2019. Fine-grained air quality inference with remote sensing data and ubiquitous urban data. ACM Transactions on Knowledge Discovery from Data (TKDD) 13, 5 (2019), 1--27."},{"key":"e_1_3_2_2_43_1","volume-title":"Effects of urban form on haze pollution in China: Spatial regression analysis based on PM2. 5 remote sensing data. Applied geography 98","author":"Yuan Man","year":"2018","unstructured":"Man Yuan , Yaping Huang , Huanfeng Shen , and Tongwen Li. 2018. Effects of urban form on haze pollution in China: Spatial regression analysis based on PM2. 5 remote sensing data. Applied geography 98 ( 2018 ), 215--223. Man Yuan, Yaping Huang, Huanfeng Shen, and Tongwen Li. 2018. Effects of urban form on haze pollution in China: Spatial regression analysis based on PM2. 5 remote sensing data. Applied geography 98 (2018), 215--223."},{"key":"e_1_3_2_2_44_1","volume-title":"Feng Gao, Bradley C Reed, and Alfredo Huete.","author":"Zhang Xiaoyang","year":"2003","unstructured":"Xiaoyang Zhang , Mark A Friedl , Crystal B Schaaf , Alan H Strahler , John CF Hodges , Feng Gao, Bradley C Reed, and Alfredo Huete. 2003 . Monitoring vegetation phenology using MODIS. Remote sensing of environment 84, 3 (2003), 471--475. Xiaoyang Zhang, Mark A Friedl, Crystal B Schaaf, Alan H Strahler, John CF Hodges, Feng Gao, Bradley C Reed, and Alfredo Huete. 2003. Monitoring vegetation phenology using MODIS. Remote sensing of environment 84, 3 (2003), 471--475."}],"event":{"name":"CIKM '22: The 31st ACM International Conference on Information and Knowledge Management","location":"Atlanta GA USA","acronym":"CIKM '22","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 31st ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557528","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3511808.3557528","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:51:08Z","timestamp":1750182668000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557528"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,17]]},"references-count":43,"alternative-id":["10.1145\/3511808.3557528","10.1145\/3511808"],"URL":"https:\/\/doi.org\/10.1145\/3511808.3557528","relation":{},"subject":[],"published":{"date-parts":[[2022,10,17]]},"assertion":[{"value":"2022-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}