{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T18:34:08Z","timestamp":1779388448686,"version":"3.53.1"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T00:00:00Z","timestamp":1750636800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2306453, 2229881"],"award-info":[{"award-number":["2306453, 2229881"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,6,23]]},"DOI":"10.1145\/3715275.3732135","type":"proceedings-article","created":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T17:01:18Z","timestamp":1750698078000},"page":"1998-2008","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Now you see it, Now you don\u2019t: Damage Label Agreement in Drone & Satellite Post-Disaster Imagery"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-4937-1948","authenticated-orcid":false,"given":"Thomas","family":"Manzini","sequence":"first","affiliation":[{"name":"Department of Computer Science & Engineering, Texas A&M University, College Station, Texas, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2735-1415","authenticated-orcid":false,"given":"Priyankari","family":"Perali","sequence":"additional","affiliation":[{"name":"Department of Computer Science & Engineering, Texas A&M University, College Station, Texas, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9286-195X","authenticated-orcid":false,"given":"Jayesh","family":"Tripathi","sequence":"additional","affiliation":[{"name":"Department of Computer Science & Engineering, Texas A&M University, College Station, Texas, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0774-4312","authenticated-orcid":false,"given":"Robin R.","family":"Murphy","sequence":"additional","affiliation":[{"name":"Department of Computer Science & Engineering, Texas A&M University, College Station, Texas, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,6,23]]},"reference":[{"key":"e_1_3_3_2_2_2","volume-title":"Maxar Open Data","unstructured":"[n. d.]. Maxar Open Data. https:\/\/registry.opendata.aws\/maxar-open-data\/"},{"key":"e_1_3_3_2_3_2","unstructured":"2021. Microsoft US Building Footprints. https:\/\/github.com\/Microsoft\/USBuildingFootprints."},{"key":"e_1_3_3_2_4_2","volume-title":"Labelbox","year":"2024","unstructured":"2024. Labelbox. https:\/\/labelbox.com"},{"key":"e_1_3_3_2_5_2","volume-title":"Use of EO Satellites in Support of Recovery from Major Disasters: Taking Stock and Moving Forward","author":"Afonso Stefanie","year":"2019","unstructured":"Stefanie Afonso, Samir Belabbes, H\u00e9l\u00e8ne\u00a0de Boissezon, Jens Danzeglocke, Andrew Eddy, Joe Leitmann, Mare Lo, Rita Missal, Fran\u00e7oise Villette, Ricardo\u00a0Zapata Marti, and Simona Zoffoli. 2019. Use of EO Satellites in Support of Recovery from Major Disasters: Taking Stock and Moving Forward. Report. Global Facility for Disaster Reduction and Recovery."},{"key":"e_1_3_3_2_6_2","unstructured":"Federal Emergency\u00a0Management Agency. 2021. 2021 Preliminary Damage Assessment Guide."},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"publisher","unstructured":"Shahriar Akter and Samuel\u00a0Fosso Wamba. 2019. Big data and disaster management: a systematic review and agenda for future research. Annals of Operations Research 283 1 (2019) 939\u2013959. https:\/\/doi.org\/10.1007\/s10479-017-2584-2","DOI":"10.1007\/s10479-017-2584-2"},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"publisher","unstructured":"W.\u00a0J.\u00a0Wouter Botzen Olivier Deschenes and Mark Sanders. 2019. The Economic Impacts of Natural Disasters: A Review of Models and Empirical Studies. Review of Environmental Economics and Policy 13 2 (2019) 167\u2013188. https:\/\/doi.org\/10.1093\/reep\/rez004","DOI":"10.1093\/reep\/rez004"},{"key":"e_1_3_3_2_9_2","unstructured":"Hongruixuan Chen Jian Song Olivier Dietrich Clifford Broni-Bediako Weihao Xuan Junjue Wang Xinlei Shao Yimin Wei Junshi Xia Cuiling Lan et\u00a0al. 2025. BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2501.06019 (2025)."},{"key":"e_1_3_3_2_10_2","unstructured":"Sean\u00a0Andrew Chen Andrew Escay Christopher Haberland Tessa Schneider Valentina Staneva and Youngjun Choe. 2018. Benchmark dataset for automatic damaged building detection from post-hurricane remotely sensed imagery. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1812.05581 (2018)."},{"key":"e_1_3_3_2_11_2","unstructured":"Chih-Shen Cheng Amir\u00a0H Behzadan and Arash Noshadravan. 2021. DoriaNET: A visual dataset from Hurricane Dorian for post-disaster building damage assessment. DesignSafe-CI (2021)."},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"crossref","unstructured":"Rapha\u00ebl d\u2019Andrimont Martin Claverie Pieter Kempeneers Davide Muraro Momchil Yordanov Devis Peressutti Matej Bati\u010d and Fran\u00e7ois Waldner. 2023. AI4Boundaries: an open AI-ready dataset to map field boundaries with Sentinel-2 and aerial photography. Earth System Science Data 15 1 (2023) 317\u2013329.","DOI":"10.5194\/essd-15-317-2023"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"crossref","unstructured":"Chengyong Fang Xuanmei Fan Xin Wang Lorenzo Nava Hao Zhong Xiujun Dong Jixiao Qi and Filippo Catani. 2024. A globally distributed dataset of coseismic landslide mapping via multi-source high-resolution remote sensing images. Earth System Science Data 16 10 (2024) 4817\u20134842.","DOI":"10.5194\/essd-16-4817-2024"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/SSRR.2018.8468647"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/SSRR.2019.8848935"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.23919\/MVA.2017.7986759"},{"key":"e_1_3_3_2_17_2","unstructured":"Ren\u00e9\u00a0Andr\u00e9s Garc\u00eda\u00a0Franceschini. 2021. Computer vision-based post-disaster needs assessment from low altitude aerial imagery. Ph.\u00a0D. Dissertation. Massachusetts Institute of Technology."},{"key":"e_1_3_3_2_18_2","unstructured":"Anatol Garioud Nicolas Gonthier Loic Landrieu Apolline De\u00a0Wit Marion Valette Marc Poup\u00e9e S\u00e9bastien Giordano et\u00a0al. 2024. FLAIR: a country-scale land cover semantic segmentation dataset from multi-source optical imagery. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_3_2_19_2","unstructured":"Gottfried Gr\u00fcnthal. 1998. European macroseismic scale 1998 (EMS-98). (1998)."},{"key":"e_1_3_3_2_20_2","first-page":"10","volume-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition workshops","author":"Gupta Ritwik","year":"2019","unstructured":"Ritwik Gupta, Bryce Goodman, Nirav Patel, Ricky Hosfelt, Sandra Sajeev, Eric Heim, Jigar Doshi, Keane Lucas, Howie Choset, and Matthew Gaston. 2019. Creating xBD: A dataset for assessing building damage from satellite imagery. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition workshops. 10\u201317."},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","unstructured":"Joseph Gyegyiri Hongbo Su and Ajay Thapa. 2024. Ian-BD: pre- and post-disaster high-resolution aerial imagery for building damage assessment from Hurricane Ian.https:\/\/doi.org\/10.17603\/DS2-2N0D-4S77","DOI":"10.17603\/DS2-2N0D-4S77"},{"key":"e_1_3_3_2_22_2","first-page":"331","volume-title":"Reconstruction following disaster","author":"Haas J\u00a0Eugene","year":"1977","unstructured":"J\u00a0Eugene Haas, Robert\u00a0W Kates, and Martyn\u00a0J Bowden. 1977. Reconstruction following disaster. In Reconstruction following disaster. 331\u2013331."},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1201\/9781420038194"},{"key":"e_1_3_3_2_24_2","unstructured":"Ilan Kelman. 2003. Physical flood vulnerability of residential properties in coastal eastern England. Ph.\u00a0D. Dissertation. University of Cambridge Cambridge United Kingdom."},{"key":"e_1_3_3_2_25_2","doi-asserted-by":"publisher","unstructured":"Cheng-Chun Lee Navjot Kaur Ali Mahdavi-Amiri and Ali Mostafavi. 2022. Ida-BD: pre- and post-disaster high-resolution satellite imagery for building damage assessment from Hurricane Ida. https:\/\/doi.org\/10.17603\/DS2-PD9H-6K05","DOI":"10.17603\/DS2-PD9H-6K05"},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"publisher","unstructured":"Szu-Yun Lin Marisa Edocia Fang\u00a0Jung Tsai Lien\u00a0an Chen and Wen-Ni Kuo. 2023. HaitiBRD: A labeled satellite imagery dataset for building and road damage assessment of the 2010 Haiti earthquake. https:\/\/doi.org\/10.17603\/DS2-FQAT-4V02","DOI":"10.17603\/DS2-FQAT-4V02"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1109\/HPEC.2019.8916437"},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"publisher","unstructured":"Jorge-Mario Lozano and Iris Tien. 2023. Data collection tools for post-disaster damage assessment of building and lifeline infrastructure systems. International Journal of Disaster Risk Reduction 94 (2023) 103819. https:\/\/doi.org\/10.1016\/j.ijdrr.2023.103819","DOI":"10.1016\/j.ijdrr.2023.103819"},{"key":"e_1_3_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.1109\/SSRR59696.2023.10499943"},{"key":"e_1_3_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/IROS55552.2023.10342413"},{"key":"e_1_3_3_2_31_2","doi-asserted-by":"crossref","unstructured":"Thomas Manzini Robin\u00a0R Murphy Eric Heim Caleb Robinson Guido Zarrella and Ritwik Gupta. 2023. Harnessing AI and robotics in humanitarian assistance and disaster response. Science robotics 8 80 (2023) eadj2767.","DOI":"10.1126\/scirobotics.adj2767"},{"key":"e_1_3_3_2_32_2","unstructured":"Thomas Manzini Priyankari Perali Raisa Karnik and Robin Murphy. 2024. CRASAR-U-DROIDs: A Large Scale Benchmark Dataset for Building Alignment and Damage Assessment in Georectified sUAS Imagery. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2407.17673 (2024)."},{"key":"e_1_3_3_2_33_2","volume-title":"Compounding Disasters in Gulf Coast Communities 2020-2021: Impacts, Findings, and Lessons Learned","author":"Sciences Engineering National Academies\u00a0of","year":"2024","unstructured":"Engineering National Academies\u00a0of Sciences and Medicine. 2024. Compounding Disasters in Gulf Coast Communities 2020-2021: Impacts, Findings, and Lessons Learned. The National Academies Press, Washington, DC. 296 pages. https:\/\/doi.org\/doi:10.17226\/27170"},{"key":"e_1_3_3_2_34_2","doi-asserted-by":"crossref","unstructured":"Yalong Pi Nipun\u00a0D. Nath and Amir\u00a0H. Behzadan. 2020. Convolutional neural networks for object detection in aerial imagery for disaster response and recovery. Advanced Engineering Informatics 43 (2020) 101009.","DOI":"10.1016\/j.aei.2019.101009"},{"key":"e_1_3_3_2_35_2","doi-asserted-by":"crossref","unstructured":"Maryam Rahnemoonfar Tashnim Chowdhury and Robin Murphy. 2022. RescueNet: A high resolution UAV semantic segmentation benchmark dataset for natural disaster damage assessment. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2202.12361 (2022).","DOI":"10.1038\/s41597-023-02799-4"},{"key":"e_1_3_3_2_36_2","doi-asserted-by":"crossref","unstructured":"Maryam Rahnemoonfar Tashnim Chowdhury Argho Sarkar Debvrat Varshney Masoud Yari and Robin\u00a0Roberson Murphy. 2021. Floodnet: A high resolution aerial imagery dataset for post flood scene understanding. IEEE Access 9 (2021) 89644\u201389654.","DOI":"10.1109\/ACCESS.2021.3090981"},{"key":"e_1_3_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW60793.2023.00405"},{"key":"e_1_3_3_2_38_2","unstructured":"S Sadek M Dabaghi I Elhajj P Zimmaro YMA Hashash SH Yun TM O\u2019Donnell JP Stewart et\u00a0al. 2021. Engineering impacts of the August 4 2020 Port of Beirut Lebanon explosion. (2021)."},{"key":"e_1_3_3_2_39_2","doi-asserted-by":"crossref","unstructured":"Peter\u00a0J Vickery Jason Lin Peter\u00a0F Skerlj Lawrence\u00a0A Twisdale\u00a0Jr and Kevin Huang. 2006. HAZUS-MH hurricane model methodology. I: Hurricane hazard terrain and wind load modeling. Natural Hazards Review 7 2 (2006) 82\u201393.","DOI":"10.1061\/(ASCE)1527-6988(2006)7:2(82)"},{"key":"e_1_3_3_2_40_2","doi-asserted-by":"crossref","unstructured":"Peter\u00a0J Vickery Peter\u00a0F Skerlj Jason Lin Lawrence\u00a0A Twisdale\u00a0Jr Michael\u00a0A Young and Francis\u00a0M Lavelle. 2006. HAZUS-MH hurricane model methodology. II: Damage and loss estimation. Natural Hazards Review 7 2 (2006) 94\u2013103.","DOI":"10.1061\/(ASCE)1527-6988(2006)7:2(94)"},{"key":"e_1_3_3_2_41_2","doi-asserted-by":"publisher","DOI":"10.1201\/9781420005684"},{"key":"e_1_3_3_2_42_2","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00207"}],"event":{"name":"FAccT '25: The 2025 ACM Conference on Fairness, Accountability, and Transparency","location":"Athens Greece","acronym":"FAccT '25"},"container-title":["Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3715275.3732135","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3715275.3732135","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T11:18:45Z","timestamp":1750763925000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3715275.3732135"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,23]]},"references-count":41,"alternative-id":["10.1145\/3715275.3732135","10.1145\/3715275"],"URL":"https:\/\/doi.org\/10.1145\/3715275.3732135","relation":{},"subject":[],"published":{"date-parts":[[2025,6,23]]},"assertion":[{"value":"2025-06-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}