{"id":"https://openalex.org/W4402263487","doi":"https://doi.org/10.1109/igarss53475.2024.10642538","title":"Near-Real-Time Global Probabilistic Flood Mapping via Local Thresholds and Cloud Computing","display_name":"Near-Real-Time Global Probabilistic Flood Mapping via Local Thresholds and Cloud Computing","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402263487","doi":"https://doi.org/10.1109/igarss53475.2024.10642538"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10642538","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10642538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017479061","display_name":"Jiayong Liang","orcid":"https://orcid.org/0000-0001-7046-1230"},"institutions":[{"id":"https://openalex.org/I258800397","display_name":"New York University Shanghai","ror":"https://ror.org/02vpsdb40","country_code":"CN","type":"education","lineage":["https://openalex.org/I258800397","https://openalex.org/I57206974"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiayong Liang","raw_affiliation_strings":["NYU Shanghai"],"affiliations":[{"raw_affiliation_string":"NYU Shanghai","institution_ids":["https://openalex.org/I258800397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101237577","display_name":"Lihan Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I258800397","display_name":"New York University Shanghai","ror":"https://ror.org/02vpsdb40","country_code":"CN","type":"education","lineage":["https://openalex.org/I258800397","https://openalex.org/I57206974"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihan Feng","raw_affiliation_strings":["NYU Shanghai"],"affiliations":[{"raw_affiliation_string":"NYU Shanghai","institution_ids":["https://openalex.org/I258800397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017479061"],"corresponding_institution_ids":["https://openalex.org/I258800397"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13770784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3947","last_page":"3951"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.8236169815063477},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7622549533843994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.70575350522995},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.5196769833564758},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34645146131515503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16241049766540527},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09750685095787048},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0556698739528656}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8236169815063477},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7622549533843994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.70575350522995},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.5196769833564758},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34645146131515503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16241049766540527},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09750685095787048},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0556698739528656},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10642538","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10642538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1984670836","https://openalex.org/W2037385122","https://openalex.org/W2054402786","https://openalex.org/W2074504304","https://openalex.org/W2113255414","https://openalex.org/W2119911758","https://openalex.org/W2160434086","https://openalex.org/W2169087452","https://openalex.org/W2344360129","https://openalex.org/W2462089918","https://openalex.org/W2472563594","https://openalex.org/W2518149467","https://openalex.org/W2520202505","https://openalex.org/W2531340046","https://openalex.org/W2560167313","https://openalex.org/W2564932286","https://openalex.org/W2598524286","https://openalex.org/W2611472826","https://openalex.org/W2725897987","https://openalex.org/W2783445976","https://openalex.org/W2793688949","https://openalex.org/W2891007421","https://openalex.org/W2988892668","https://openalex.org/W2989014883","https://openalex.org/W2996052253","https://openalex.org/W3003923526","https://openalex.org/W3016979159","https://openalex.org/W3017161625","https://openalex.org/W3019976889","https://openalex.org/W3022360563","https://openalex.org/W3036059328","https://openalex.org/W3046468540","https://openalex.org/W3097718639","https://openalex.org/W3128576321","https://openalex.org/W3134338018","https://openalex.org/W3166721759","https://openalex.org/W3190581971","https://openalex.org/W3206988665","https://openalex.org/W3207027620","https://openalex.org/W3216560689","https://openalex.org/W4214742436","https://openalex.org/W4220923873","https://openalex.org/W4226232409","https://openalex.org/W4283658303","https://openalex.org/W4295837118","https://openalex.org/W4296041413","https://openalex.org/W4319993289","https://openalex.org/W4379967631","https://openalex.org/W4385343145"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W1997222214"],"abstract_inverted_index":{"This":[0],"study":[1],"introduces":[2],"a":[3],"novel":[4],"approach":[5],"to":[6,67,97,117,120,136],"creating":[7],"probabilistic":[8,123],"flood":[9,35,124,127],"maps":[10],"by":[11],"employing":[12],"local":[13,115],"thresholding":[14],"techniques":[15],"with":[16],"near-real-time":[17],"Sentinel-1":[18],"satellite":[19],"imagery":[20,119],"and":[21,57,74,82,90,111,129],"comprehensive":[22],"global":[23],"land":[24,58,80],"cover":[25,81],"data.":[26],"The":[27,40,126],"methodology's":[28],"accuracy":[29],"was":[30],"evaluated":[31],"across":[32],"eleven":[33],"distinct":[34],"events":[36,128],"spanning":[37],"multiple":[38],"continents.":[39],"process":[41],"encompasses":[42],"several":[43],"key":[44],"steps:":[45],"(1)":[46],"extracting":[47],"Synthetic":[48],"Aperture":[49],"Radar":[50],"(SAR)":[51],"backscatter":[52],"samples":[53],"for":[54,78],"various":[55],"polarizations":[56],"covers,":[59],"including":[60],"inundated":[61],"areas;":[62],"(2)":[63],"fitting":[64],"Gamma":[65,95],"distributions":[66],"derive":[68],"both":[69],"the":[70,87,106,109,130,137,140],"probability":[71,99],"density":[72],"function":[73,77],"cumulative":[75],"distribution":[76,96],"each":[79,94],"polarization":[83],"type;":[84],"(3)":[85],"utilizing":[86],"shape,":[88],"location,":[89],"scale":[91],"parameters":[92],"from":[93],"calculate":[98],"thresholds":[100,116],"as":[101],"percent":[102],"points":[103],"(percentiles,":[104],"or":[105],"inverse":[107],"of":[108],"CDF);":[110],"(4)":[112],"applying":[113],"these":[114],"SAR":[118],"generate":[121],"detailed":[122],"maps.":[125],"mapping":[131],"tool":[132],"are":[133],"made":[134],"accessible":[135],"public":[138],"via":[139],"Google":[141],"Earth":[142],"Engine":[143],"platform.":[144]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}