{"id":"https://openalex.org/W7114927644","doi":"https://doi.org/10.1145/3748636.3762730","title":"Geospatial Diffusion for Land Cover Imperviousness Change Forecasting","display_name":"Geospatial Diffusion for Land Cover Imperviousness Change Forecasting","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W7114927644","doi":"https://doi.org/10.1145/3748636.3762730"},"language":null,"primary_location":{"id":"doi:10.1145/3748636.3762730","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748636.3762730","pdf_url":null,"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://doi.org/10.1145/3748636.3762730","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Debvrat Varshney","orcid":"https://orcid.org/0000-0001-8898-1736"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Debvrat Varshney","raw_affiliation_strings":["Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA"],"raw_orcid":"https://orcid.org/0000-0001-8898-1736","affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Vibhas Vats","orcid":"https://orcid.org/0000-0002-7232-0121"},"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":"Vibhas Vats","raw_affiliation_strings":["Indiana University, Bloomington, Indiana, USA"],"raw_orcid":"https://orcid.org/0000-0002-7232-0121","affiliations":[{"raw_affiliation_string":"Indiana University, Bloomington, Indiana, USA","institution_ids":["https://openalex.org/I4210119109"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bhartendu Pandey","orcid":"https://orcid.org/0000-0002-3712-5961"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhartendu Pandey","raw_affiliation_strings":["Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA"],"raw_orcid":"https://orcid.org/0000-0002-3712-5961","affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Christa Brelsford","orcid":"https://orcid.org/0000-0002-3490-8020"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christa Brelsford","raw_affiliation_strings":["Los Alamos National Laboratory, Los Alamos, New Mexico, USA"],"raw_orcid":"https://orcid.org/0000-0002-3490-8020","affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory, Los Alamos, New Mexico, USA","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"last","author":{"id":null,"display_name":"Philipe Dias","orcid":"https://orcid.org/0000-0001-9427-7112"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philipe Dias","raw_affiliation_strings":["Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA"],"raw_orcid":"https://orcid.org/0000-0001-9427-7112","affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA","institution_ids":["https://openalex.org/I1289243028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1289243028"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.58642821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"257","last_page":"260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.1251000016927719,"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":0.1251000016927719,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.11829999834299088,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.09149999916553497,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/impervious-surface","display_name":"Impervious surface","score":0.6978999972343445},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.608299970626831},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5866000056266785},{"id":"https://openalex.org/keywords/data-assimilation","display_name":"Data assimilation","score":0.5005000233650208},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.43779999017715454},{"id":"https://openalex.org/keywords/earth-observation","display_name":"Earth observation","score":0.42910000681877136},{"id":"https://openalex.org/keywords/flood-forecasting","display_name":"Flood forecasting","score":0.42489999532699585},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.414900004863739}],"concepts":[{"id":"https://openalex.org/C2668921","wikidata":"https://www.wikidata.org/wiki/Q1434713","display_name":"Impervious surface","level":2,"score":0.6978999972343445},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6425999999046326},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.608299970626831},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5866000056266785},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5360999703407288},{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.5005000233650208},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.43779999017715454},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.42910000681877136},{"id":"https://openalex.org/C183195422","wikidata":"https://www.wikidata.org/wiki/Q3409303","display_name":"Flood forecasting","level":3,"score":0.42489999532699585},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.414900004863739},{"id":"https://openalex.org/C126197015","wikidata":"https://www.wikidata.org/wiki/Q1586683","display_name":"Hydrological modelling","level":2,"score":0.3718999922275543},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3666999936103821},{"id":"https://openalex.org/C41156917","wikidata":"https://www.wikidata.org/wiki/Q682831","display_name":"Downscaling","level":3,"score":0.32199999690055847},{"id":"https://openalex.org/C133204551","wikidata":"https://www.wikidata.org/wiki/Q838305","display_name":"Weather Research and Forecasting Model","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.28110000491142273},{"id":"https://openalex.org/C153400128","wikidata":"https://www.wikidata.org/wiki/Q3150731","display_name":"Infiltration (HVAC)","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C199491958","wikidata":"https://www.wikidata.org/wiki/Q737514","display_name":"Global change","level":3,"score":0.27239999175071716},{"id":"https://openalex.org/C169087156","wikidata":"https://www.wikidata.org/wiki/Q2131593","display_name":"Framing (construction)","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.26429998874664307},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C80368990","wikidata":"https://www.wikidata.org/wiki/Q3046459","display_name":"Earth system science","level":2,"score":0.26109999418258667}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3748636.3762730","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748636.3762730","pdf_url":null,"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:10.1145/3748636.3762730","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748636.3762730","pdf_url":null,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2060533114","https://openalex.org/W2089892649","https://openalex.org/W3127156490","https://openalex.org/W3155886720","https://openalex.org/W4231942534","https://openalex.org/W4387375986","https://openalex.org/W4399300710","https://openalex.org/W4401565952","https://openalex.org/W6910912078"],"related_works":[],"abstract_inverted_index":{"Land-use":[0],"and":[1,19,26,37,80,135,150],"land-cover":[2],"(LULC)":[3],"has":[4,49],"a":[5,57,73,94,119],"significant":[6],"effect":[7],"on":[8,78,128],"several":[9],"Earth":[10,30],"system":[11],"processes.":[12],"For":[13],"example,":[14],"impervious":[15],"surfaces":[16],"reduce":[17],"infiltration":[18],"speed":[20],"water":[21],"flow,":[22],"impacting":[23],"regional":[24],"hydrology":[25],"flood":[27],"risk.":[28],"While":[29],"System":[31],"models":[32],"have":[33],"improved":[34],"forecasting":[35,68,101],"hydrologic":[36],"atmospheric":[38],"processes":[39],"at":[40],"higher":[41],"resolutions,":[42],"the":[43,85,106],"ability":[44,132],"to":[45,133,145],"forecast":[46],"LULC":[47],"change":[48,67,104],"lagged":[50],"behind.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55,90,141],"propose":[56],"new":[58],"paradigm":[59],"exploiting":[60],"Generative":[61],"AI":[62],"(GenAI)":[63],"for":[64,99,122],"land":[65],"cover":[66],"by":[69],"framing":[70],"it":[71],"as":[72],"data":[74],"synthesis":[75],"problem":[76],"conditioned":[77],"historical":[79],"auxiliary":[81],"data-sources.":[82],"To":[83],"demonstrate":[84],"feasibility":[86],"of":[87,102],"our":[88,113],"methodology,":[89],"perform":[91],"experiments":[92],"where":[93],"diffusion":[95],"model":[96,114],"is":[97],"trained":[98],"decadal":[100],"imperviousness":[103],"across":[105],"entire":[107],"United":[108],"States.":[109],"We":[110],"find":[111],"that":[112],"yields":[115],"MAE":[116],"lower":[117],"than":[118],"no-change":[120],"baseline":[121],"resolutions":[123],"\u2265":[124],"0.7":[125],"X":[126],"0.7km2":[127],"average,":[129],"demonstrating":[130],"its":[131],"capture":[134],"project":[136],"accurate":[137],"spatiotemporal":[138],"patterns.":[139],"Finally,":[140],"discuss":[142],"future":[143],"research":[144],"incorporate":[146],"Earth's":[147],"physical":[148],"properties":[149],"enabling":[151],"scenario":[152],"simulations":[153],"via":[154],"driver":[155],"variables.":[156]},"counts_by_year":[],"updated_date":"2025-12-13T23:11:00.310470","created_date":"2025-12-12T00:00:00"}