{"id":"https://openalex.org/W7114927757","doi":"https://doi.org/10.1145/3748636.3769289","title":"Scalable Terrain-Aware Flood Extent Mapping on Earth Imagery","display_name":"Scalable Terrain-Aware Flood Extent Mapping on Earth Imagery","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W7114927757","doi":"https://doi.org/10.1145/3748636.3769289"},"language":null,"primary_location":{"id":"doi:10.1145/3748636.3769289","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748636.3769289","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3748636.3769289","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3748636.3769289","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Saugat Adhikari","orcid":"https://orcid.org/0000-0002-7846-2200"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Saugat Adhikari","raw_affiliation_strings":["Indiana University, Bloomington, Indiana, USA"],"raw_orcid":"https://orcid.org/0000-0002-7846-2200","affiliations":[{"raw_affiliation_string":"Indiana University, Bloomington, Indiana, USA","institution_ids":["https://openalex.org/I4210119109"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Da Yan","orcid":"https://orcid.org/0000-0002-4653-0408"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Da Yan","raw_affiliation_strings":["Indiana University, Bloomington, Indiana, USA"],"raw_orcid":"https://orcid.org/0000-0002-4653-0408","affiliations":[{"raw_affiliation_string":"Indiana University, Bloomington, Indiana, USA","institution_ids":["https://openalex.org/I4210119109"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhe Jiang","orcid":"https://orcid.org/0000-0002-3576-6976"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhe Jiang","raw_affiliation_strings":["University of Florida, Gainesville, Florida, USA"],"raw_orcid":"https://orcid.org/0000-0002-3576-6976","affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, Florida, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiao Han","orcid":"https://orcid.org/0009-0004-4152-182X"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiao Han","raw_affiliation_strings":["Indiana University, Bloomington, Indiana, USA"],"raw_orcid":"https://orcid.org/0009-0004-4152-182X","affiliations":[{"raw_affiliation_string":"Indiana University, Bloomington, Indiana, USA","institution_ids":["https://openalex.org/I4210119109"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zelin Xu","orcid":"https://orcid.org/0009-0004-4419-3155"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zelin Xu","raw_affiliation_strings":["University of Florida, Gainesville, Florida, USA"],"raw_orcid":"https://orcid.org/0009-0004-4419-3155","affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, Florida, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yupu Zhang","orcid":"https://orcid.org/0009-0007-4448-9089"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yupu Zhang","raw_affiliation_strings":["University of Florida, Gainesville, Florida, USA"],"raw_orcid":"https://orcid.org/0009-0007-4448-9089","affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, Florida, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Arpan Sainju","orcid":"https://orcid.org/0000-0001-5668-194X"},"institutions":[{"id":"https://openalex.org/I169615421","display_name":"Middle Tennessee State University","ror":"https://ror.org/02n1hzn07","country_code":"US","type":"education","lineage":["https://openalex.org/I169615421"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arpan Sainju","raw_affiliation_strings":["Middle Tennessee State University, Murfreesboro, Tennessee, USA"],"raw_orcid":"https://orcid.org/0000-0001-5668-194X","affiliations":[{"raw_affiliation_string":"Middle Tennessee State University, Murfreesboro, Tennessee, USA","institution_ids":["https://openalex.org/I169615421"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yang Zhou","orcid":"https://orcid.org/0000-0001-7839-4933"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Zhou","raw_affiliation_strings":["Auburn University, Auburn, Alabama, USA"],"raw_orcid":"https://orcid.org/0000-0001-7839-4933","affiliations":[{"raw_affiliation_string":"Auburn University, Auburn, Alabama, USA","institution_ids":["https://openalex.org/I82497590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210119109"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.58644204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1302","last_page":"1303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.8363000154495239,"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":0.8363000154495239,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.010400000028312206,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.010099999606609344,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6176000237464905},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.574999988079071},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.5515000224113464},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5271999835968018},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4731000065803528},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46369999647140503},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4634999930858612},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4449000060558319},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4255000054836273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6406999826431274},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6176000237464905},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.574999988079071},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.5515000224113464},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5271999835968018},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4731000065803528},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46369999647140503},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4634999930858612},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4449000060558319},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4410000145435333},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.43309998512268066},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4255000054836273},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.4115000069141388},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.40119999647140503},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4000000059604645},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.37619999051094055},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.35339999198913574},{"id":"https://openalex.org/C191172861","wikidata":"https://www.wikidata.org/wiki/Q7899321","display_name":"Upstream (networking)","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31049999594688416},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.3068999946117401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2978000044822693},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.28850001096725464},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2838999927043915},{"id":"https://openalex.org/C37054046","wikidata":"https://www.wikidata.org/wiki/Q641888","display_name":"Elevation (ballistics)","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2648000121116638},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.26010000705718994}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3748636.3769289","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748636.3769289","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3748636.3769289","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3748636.3769289","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748636.3769289","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3748636.3769289","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7690746784210205,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G1668582382","display_name":null,"funder_award_id":"DE-SC0025228","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G2112097466","display_name":null,"funder_award_id":"OAC-2313191","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G418306546","display_name":"Collaborative Research: OAC CORE: Federated-Learning-Driven Traffic Event Management for Intelligent Transportation Systems","funder_award_id":"2313191","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4729682428","display_name":null,"funder_award_id":"OAC-2410884","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4797720094","display_name":"Collaborative Research: OAC CORE: Federated-Learning-Driven Traffic Event Management for Intelligent Transportation Systems","funder_award_id":"2414474","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5799198204","display_name":null,"funder_award_id":"IIS-2207072","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6296478811","display_name":"Collaborative Research: OAC Core: Learning AI Surrogate of Large-Scale Spatiotemporal Simulations for Coastal Circulation","funder_award_id":"2402946","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6628147552","display_name":"Collaborative Research: OAC Core: Large-Scale Spatial Machine Learning for 3D Surface Topology in Hydrological Applications","funder_award_id":"2414185","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7151262335","display_name":"Elements: A GeoAI Toolset for Identifying Locations and Drivers of Pond Collapse in Salt Marshes from High-Resolution Earth Imagery","funder_award_id":"2410884","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7409119806","display_name":"III: Small: Spatial Deep Learning from Imperfect Volunteered Geographic Information","funder_award_id":"2207072","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8151085534","display_name":null,"funder_award_id":"OAC-2152085","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8243973674","display_name":null,"funder_award_id":"OAC-2402946","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8375357097","display_name":null,"funder_award_id":"OAC-2414185","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G932410845","display_name":null,"funder_award_id":"OAC-2414474","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7114927757.pdf","grobid_xml":"https://content.openalex.org/works/W7114927757.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W2809370672","https://openalex.org/W4404077777"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"and":[1,61,94,142],"prompt":[2],"mapping":[3,42],"of":[4],"flood":[5,41],"extent":[6],"is":[7,45],"important":[8],"for":[9,86,100],"effective":[10],"disaster":[11],"management.":[12],"Prior":[13],"terrain-guided":[14],"methods":[15],"utilizing":[16],"digital":[17],"elevation":[18],"model":[19],"(DEM)":[20],"data":[21],"to":[22,30,48,59,103,115,133,145],"improve":[23],"segmentation":[24],"quality,":[25],"but":[26],"are":[27,113],"only":[28],"applicable":[29,47],"small":[31],"areas":[32],"with":[33,81,137],"restricted":[34],"assumptions.":[35],"We":[36],"propose":[37],"ZoneGraph,":[38],"a":[39,55,82,96,134],"scalable":[40],"approach":[43],"that":[44],"generally":[46],"any":[49],"area.":[50],"Since":[51],"water":[52,84,120],"level":[53,85,121],"varies":[54],"lot":[56],"from":[57],"upstream":[58],"downstream,":[60],"an":[62,74],"Earth":[63,75],"image":[64,76],"may":[65],"contain":[66],"multiple":[67],"river":[68],"channels":[69],"or":[70],"branches,":[71],"ZoneGraph":[72,125],"partitions":[73],"into":[77],"localized":[78],"zones":[79],"each":[80],"consistent":[83],"intra-region":[87],"inference":[88],"using":[89],"hidden":[90],"Markov":[91],"trees":[92],"(HMTs),":[93],"uses":[95],"zone":[97],"adjacency":[98],"graph":[99],"inter-zone":[101],"regularization":[102],"enforce":[104],"flow":[105],"direction":[106],"consistency":[107],"across":[108],"adjacent":[109],"zones.":[110],"Parallelization":[111],"techniques":[112],"applied":[114],"speed":[116],"up":[117,144],"the":[118],"zonal":[119],"computations.":[122],"Experiments":[123],"show":[124],"achieves":[126],"higher":[127],"accuracy":[128],"than":[129],"existing":[130],"methods,":[131],"scale":[132],"large":[135],"area":[136],"24,805":[138],"\u00d7":[139],"40,129":[140],"pixels,":[141],"yields":[143],"14.3\u00d7":[146],"parallelization":[147],"speedup":[148],"on":[149],"32":[150],"threads.":[151]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-12-12T00:00:00"}
