{"id":"https://openalex.org/W7225001383","doi":"https://doi.org/10.5281/zenodo.23844105","title":"Event-Conditional Flood Susceptibility from Land-Surface Predictors: A Globally Trained Random Forest Framework","display_name":"Event-Conditional Flood Susceptibility from Land-Surface Predictors: A Globally Trained Random Forest Framework","publication_year":2026,"publication_date":"2026-10-31","ids":{"openalex":"https://openalex.org/W7225001383","doi":"https://doi.org/10.5281/zenodo.23844105"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.23844105","doi":"https://doi.org/10.5281/zenodo.23844105","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23844105","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.23844105","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087529811","display_name":"Ishan Pande","orcid":"https://orcid.org/0000-0002-0033-5201","observed_orcids":["https://orcid.org/0000-0002-0033-5201"]},"institutions":[{"id":"https://openalex.org/I4210126747","display_name":"Zionsville Community High School","ror":"https://ror.org/02wr4ty93","country_code":"US","type":"education","lineage":["https://openalex.org/I4210126747"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pande, Ishan","raw_affiliation_strings":["Zionsville Community High School"],"raw_orcid":"https://orcid.org/0009-0006-2384-0995","affiliations":[{"raw_affiliation_string":"Zionsville Community High School","institution_ids":["https://openalex.org/I4210126747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087529811"],"corresponding_institution_ids":["https://openalex.org/I4210126747"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9994999766349792,"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":0.9994999766349792,"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/T10535","display_name":"Landslides and related hazards","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/flood-susceptibility","display_name":"flood susceptibility","score":0.8519999980926514},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.8460000157356262},{"id":"https://openalex.org/keywords/inundation-prediction","display_name":"inundation prediction","score":0.5809999704360962},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"NDVI","score":0.8019999861717224},{"id":"https://openalex.org/keywords/hillshade","display_name":"hillshade","score":0.4440000057220459},{"id":"https://openalex.org/keywords/global-forest-watch","display_name":"Global Forest Watch","score":0.492000013589859},{"id":"https://openalex.org/keywords/imperviousness","display_name":"imperviousness","score":0.8970000147819519},{"id":"https://openalex.org/keywords/soil-properties","display_name":"soil properties","score":0.5460000038146973},{"id":"https://openalex.org/keywords/vegetation","display_name":"vegetation","score":0.5410000085830688},{"id":"https://openalex.org/keywords/error-propagation","display_name":"error propagation","score":0.7580000162124634},{"id":"https://openalex.org/keywords/data-scarce-regions","display_name":"data-scarce regions","score":0.871999979019165}],"concepts":[{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.7042999863624573},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5101000070571899},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.475600004196167},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4690000116825104},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.44020000100135803},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.43320000171661377},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.41600000858306885},{"id":"https://openalex.org/C76886044","wikidata":"https://www.wikidata.org/wiki/Q2883300","display_name":"Hydrology (agriculture)","level":2,"score":0.3792000114917755},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.37689998745918274},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.37599998712539673},{"id":"https://openalex.org/C2778061687","wikidata":"https://www.wikidata.org/wiki/Q5460077","display_name":"Flood risk assessment","level":3,"score":0.3564000129699707},{"id":"https://openalex.org/C2987896495","wikidata":"https://www.wikidata.org/wiki/Q5416716","display_name":"Event data","level":3,"score":0.33660000562667847},{"id":"https://openalex.org/C44492722","wikidata":"https://www.wikidata.org/wiki/Q327069","display_name":"Conditional probability","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C171878848","wikidata":"https://www.wikidata.org/wiki/Q336797","display_name":"100-year flood","level":3,"score":0.31839999556541443},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3181999921798706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29499998688697815},{"id":"https://openalex.org/C67592535","wikidata":"https://www.wikidata.org/wiki/Q7481320","display_name":"Drainage","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C49898467","wikidata":"https://www.wikidata.org/wiki/Q1517706","display_name":"Stratified sampling","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2632000148296356},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.2547999918460846},{"id":"https://openalex.org/C126197015","wikidata":"https://www.wikidata.org/wiki/Q1586683","display_name":"Hydrological modelling","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.23844105","doi":"https://doi.org/10.5281/zenodo.23844105","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23844105","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.5281/zenodo.23844106","doi":"https://doi.org/10.5281/zenodo.23844106","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23844106","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.5281/zenodo.23844105","doi":"https://doi.org/10.5281/zenodo.23844105","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23844105","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.5351999998092651,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7214079933","https://openalex.org/W4414522833","https://openalex.org/W7067613345","https://openalex.org/W7220420648","https://openalex.org/W4390881691","https://openalex.org/W4413350576","https://openalex.org/W4316096776","https://openalex.org/W7215900516","https://openalex.org/W7223985601","https://openalex.org/W7213543305"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,19,53,89],"globally":[3],"trained":[4],"random":[5],"forest":[6],"framework":[7,82],"for":[8,91],"estimating":[9],"conditional":[10],"flood":[11,20,93],"susceptibility":[12,73,85],"at":[13],"250":[14],"m":[15],"resolution,":[16],"given":[17],"that":[18],"event":[21],"occurs.":[22],"Using":[23],"binary":[24],"inundation":[25],"labels":[26],"from":[27],"the":[28,32],"Global":[29],"Flood":[30],"Database,":[31],"model":[33],"integrates":[34],"terrain,":[35],"vegetation,":[36],"imperviousness,":[37],"and":[38,49,60,78,87],"soil":[39],"predictors":[40],"without":[41],"precipitation":[42],"or":[43],"drainage":[44],"infrastructure":[45],"inputs.":[46],"Balanced":[47],"sampling":[48],"geographic":[50],"cross-validation":[51],"yielded":[52],"ROC-AUC":[54],"of":[55],"0.92,":[56],"with":[57],"NDVI,":[58],"HAND,":[59],"GFI":[61],"contributing":[62],"most":[63],"strongly.":[64],"Monte":[65],"Carlo":[66],"perturbations":[67],"propagate":[68],"assumed":[69],"input":[70],"uncertainties":[71],"into":[72],"scores,":[74],"producing":[75],"spatial":[76],"summaries":[77],"uncertainty":[79],"intervals.":[80],"The":[81],"supports":[83],"relative":[84],"assessment":[86],"provides":[88],"foundation":[90],"future":[92],"simulation":[94],"applications,":[95],"specifically":[96],"in":[97],"data-scarce":[98],"regions.":[99]},"counts_by_year":[],"updated_date":"2026-11-02T09:45:03.842371","created_date":"2026-11-01T00:00:00"}