R. Hänsch, J. Arndt, M. Gibb, Arnold P. Boedihardjo, Tyler Pedelose, Todd M. Bacastow
{"title":"The SpaceNet 8 Challenge - From Foundation Mapping to Flood Detection","authors":"R. Hänsch, J. Arndt, M. Gibb, Arnold P. Boedihardjo, Tyler Pedelose, Todd M. Bacastow","doi":"10.1109/IGARSS46834.2022.9883741","DOIUrl":null,"url":null,"abstract":"Floods are one of the major types of natural disasters responsible for loss of life, destruction of buildings and infrastructure, erosion of arable land, and environmental hazards around the world. Climate change, increasing populations, and urbanisation of flood plains will only increase the risk of flooding in the next few years. SpaceNet 8 presents a dataset that combines building footprint detection, road network extraction, and flood detection covering 850km2, including ~32,000 buildings and ~ 1,300 km of roads, of which ~ 13% and ~ 15% are flooded, respectively.","PeriodicalId":426003,"journal":{"name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","volume":"35 9","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS46834.2022.9883741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Floods are one of the major types of natural disasters responsible for loss of life, destruction of buildings and infrastructure, erosion of arable land, and environmental hazards around the world. Climate change, increasing populations, and urbanisation of flood plains will only increase the risk of flooding in the next few years. SpaceNet 8 presents a dataset that combines building footprint detection, road network extraction, and flood detection covering 850km2, including ~32,000 buildings and ~ 1,300 km of roads, of which ~ 13% and ~ 15% are flooded, respectively.