{"id":"https://openalex.org/W3093835305","doi":"https://doi.org/10.3390/rs12203423","title":"Modeling Spatial Flood using Novel Ensemble Artificial Intelligence Approaches in Northern Iran","display_name":"Modeling Spatial Flood using Novel Ensemble Artificial Intelligence Approaches in Northern Iran","publication_year":2020,"publication_date":"2020-10-18","ids":{"openalex":"https://openalex.org/W3093835305","doi":"https://doi.org/10.3390/rs12203423","mag":"3093835305"},"language":"en","primary_location":{"id":"doi:10.3390/rs12203423","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12203423","pdf_url":"https://www.mdpi.com/2072-4292/12/20/3423/pdf?version=1603695895","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/12/20/3423/pdf?version=1603695895","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063208791","display_name":"Alireza Arabameri","orcid":"https://orcid.org/0000-0002-1142-1666"},"institutions":[{"id":"https://openalex.org/I1516879","display_name":"Tarbiat Modares University","ror":"https://ror.org/03mwgfy56","country_code":"IR","type":"education","lineage":["https://openalex.org/I1516879"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Alireza Arabameri","raw_affiliation_strings":["Department of Geomorphology, Tarbiat Modares University, Tehran 14117-13116, Iran"],"raw_orcid":"https://orcid.org/0000-0002-1142-1666","affiliations":[{"raw_affiliation_string":"Department of Geomorphology, Tarbiat Modares University, Tehran 14117-13116, Iran","institution_ids":["https://openalex.org/I1516879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030817787","display_name":"Sunil Saha","orcid":"https://orcid.org/0000-0003-2739-3716"},"institutions":[{"id":"https://openalex.org/I33932797","display_name":"University of Gour Banga","ror":"https://ror.org/00pyh2y32","country_code":"IN","type":"education","lineage":["https://openalex.org/I33932797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sunil Saha","raw_affiliation_strings":["Department of Geography, University of Gour Banga, Malda 732103, West Bengal"],"raw_orcid":"https://orcid.org/0000-0003-2739-3716","affiliations":[{"raw_affiliation_string":"Department of Geography, University of Gour Banga, Malda 732103, West Bengal","institution_ids":["https://openalex.org/I33932797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012676749","display_name":"Kaustuv Mukherjee","orcid":"https://orcid.org/0000-0003-4726-9288"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaustuv Mukherjee","raw_affiliation_strings":["Department of Geography, Chandidas Mahavidyalaya, Birbhum 731215, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, Chandidas Mahavidyalaya, Birbhum 731215, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056842687","display_name":"Thomas Blaschke","orcid":"https://orcid.org/0000-0002-1860-8458"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Thomas Blaschke","raw_affiliation_strings":["Department of Geoinformatics\u2013Z_GIS, University of Salzburg, 5020 Salzburg, Austria"],"raw_orcid":"https://orcid.org/0000-0002-1860-8458","affiliations":[{"raw_affiliation_string":"Department of Geoinformatics\u2013Z_GIS, University of Salzburg, 5020 Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100719254","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0002-5825-1422"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210098205","display_name":"State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation","ror":"https://ror.org/00ftbmy59","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098205"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["College of Geology &amp; Environment, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China","Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Land and Resources, Xi\u2019an 710021, China","Shaanxi Provincial Key Laboratory of Geological Support for Coal Green Exploitation, Xi\u2019an 710054, China","Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Land and Resources, Xi'an 710021, China","Shaanxi Provincial Key Laboratory of Geological Support for Coal Green Exploitation, Xi'an 710054, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geology &amp; Environment, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China","institution_ids":["https://openalex.org/I110440473"]},{"raw_affiliation_string":"Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Land and Resources, Xi\u2019an 710021, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Geological Support for Coal Green Exploitation, Xi\u2019an 710054, China","institution_ids":["https://openalex.org/I4210098205"]},{"raw_affiliation_string":"Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Land and Resources, Xi'an 710021, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Geological Support for Coal Green Exploitation, Xi'an 710054, China","institution_ids":["https://openalex.org/I4210098205"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043053868","display_name":"Phuong Thao Thi Ngo","orcid":"https://orcid.org/0000-0002-6574-5762"},"institutions":[{"id":"https://openalex.org/I29199639","display_name":"Hanoi University of Mining and Geology","ror":"https://ror.org/01rw3qm79","country_code":"VN","type":"education","lineage":["https://openalex.org/I29199639"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Phuong Thao Thi Ngo","raw_affiliation_strings":["Faculty of Information Technology, Hanoi University of Mining and Geology, No. 18 Pho Vien, Duc Thang, Bac Tu Liem, Hanoi 10000, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-6574-5762","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Hanoi University of Mining and Geology, No. 18 Pho Vien, Duc Thang, Bac Tu Liem, Hanoi 10000, Vietnam","institution_ids":["https://openalex.org/I29199639"]}]},{"author_position":"last","author":{"id":null,"display_name":"Shahab S. Band","orcid":"https://orcid.org/0000-0002-6605-498X"},"institutions":[{"id":"https://openalex.org/I170238339","display_name":"Duy Tan University","ror":"https://ror.org/05ezss144","country_code":"VN","type":"education","lineage":["https://openalex.org/I170238339"]},{"id":"https://openalex.org/I75357094","display_name":"National Yunlin University of Science and Technology","ror":"https://ror.org/04qkq2m54","country_code":"TW","type":"education","lineage":["https://openalex.org/I75357094"]}],"countries":["TW","VN"],"is_corresponding":true,"raw_author_name":"Shahab S. Band","raw_affiliation_strings":["Future Technology Research Center, College of Future, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan","Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-6605-498X","affiliations":[{"raw_affiliation_string":"Future Technology Research Center, College of Future, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan","institution_ids":["https://openalex.org/I75357094"]},{"raw_affiliation_string":"Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam","institution_ids":["https://openalex.org/I170238339"]}]}],"institutions":[],"countries_distinct_count":6,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170238339","https://openalex.org/I75357094"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":1961,"currency":"EUR","value_usd":2114},"fwci":3.8991,"has_fulltext":true,"cited_by_count":86,"citation_normalized_percentile":{"value":0.94834715,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"12","issue":"20","first_page":"3423","last_page":"3423"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":1.0,"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":1.0,"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":0.9987999796867371,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/adaboost","display_name":"AdaBoost","score":0.7982675433158875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7323124408721924},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5736249685287476},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5335970520973206},{"id":"https://openalex.org/keywords/flash-flood","display_name":"Flash flood","score":0.5269875526428223},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.49425506591796875},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48910313844680786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4786347448825836},{"id":"https://openalex.org/keywords/flood-forecasting","display_name":"Flood forecasting","score":0.45646846294403076},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4543362259864807},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.433565229177475},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.40388229489326477},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.39731186628341675},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2982150912284851},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1694391369819641}],"concepts":[{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.7982675433158875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7323124408721924},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5736249685287476},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5335970520973206},{"id":"https://openalex.org/C120417685","wikidata":"https://www.wikidata.org/wiki/Q860333","display_name":"Flash flood","level":3,"score":0.5269875526428223},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.49425506591796875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48910313844680786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4786347448825836},{"id":"https://openalex.org/C183195422","wikidata":"https://www.wikidata.org/wiki/Q3409303","display_name":"Flood forecasting","level":3,"score":0.45646846294403076},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4543362259864807},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.433565229177475},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.40388229489326477},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.39731186628341675},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2982150912284851},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1694391369819641},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12203423","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12203423","pdf_url":"https://www.mdpi.com/2072-4292/12/20/3423/pdf?version=1603695895","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8185b0fde52542c789899c071165d9fa","is_oa":true,"landing_page_url":"https://doaj.org/article/8185b0fde52542c789899c071165d9fa","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 12, Iss 20, p 3423 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/20/3423/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12203423","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 12; Issue 20; Pages: 3423","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12203423","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12203423","pdf_url":"https://www.mdpi.com/2072-4292/12/20/3423/pdf?version=1603695895","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G3085262636","display_name":null,"funder_award_id":"W 1237-N23","funder_id":"https://openalex.org/F4320321181","funder_display_name":"Austrian Science Fund"},{"id":"https://openalex.org/G5644440379","display_name":null,"funder_award_id":"DK W 1237-N23","funder_id":"https://openalex.org/F4320323345","funder_display_name":"Universit\u00e4t Salzburg"},{"id":"https://openalex.org/G5869621006","display_name":"Geographic Information Science. Integrating interdisciplinary concepts and methods","funder_award_id":"W1237","funder_id":"https://openalex.org/F4320321181","funder_display_name":"Austrian Science Fund"},{"id":"https://openalex.org/G669921295","display_name":null,"funder_award_id":"DKW1237-N23","funder_id":"https://openalex.org/F4320321181","funder_display_name":"Austrian Science Fund"}],"funders":[{"id":"https://openalex.org/F4320321181","display_name":"Austrian Science Fund","ror":"https://ror.org/013tf3c58"},{"id":"https://openalex.org/F4320323345","display_name":"Universit\u00e4t Salzburg","ror":"https://ror.org/05gs8cd61"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3093835305.pdf","grobid_xml":"https://content.openalex.org/works/W3093835305.grobid-xml"},"referenced_works_count":131,"referenced_works":["https://openalex.org/W616556232","https://openalex.org/W1186112364","https://openalex.org/W1191482210","https://openalex.org/W1496671870","https://openalex.org/W1497310198","https://openalex.org/W1510447231","https://openalex.org/W1826392439","https://openalex.org/W1945589160","https://openalex.org/W1973663667","https://openalex.org/W1974614011","https://openalex.org/W1976950802","https://openalex.org/W1977085977","https://openalex.org/W1981646498","https://openalex.org/W1984663111","https://openalex.org/W1985288162","https://openalex.org/W1988790447","https://openalex.org/W1989319038","https://openalex.org/W1991524991","https://openalex.org/W1993934953","https://openalex.org/W1996072998","https://openalex.org/W2003203391","https://openalex.org/W2003269946","https://openalex.org/W2003275689","https://openalex.org/W2006790792","https://openalex.org/W2007802759","https://openalex.org/W2008783538","https://openalex.org/W2023092151","https://openalex.org/W2023155255","https://openalex.org/W2024046085","https://openalex.org/W2026304613","https://openalex.org/W2029639243","https://openalex.org/W2030675529","https://openalex.org/W2052982604","https://openalex.org/W2057039778","https://openalex.org/W2059816099","https://openalex.org/W2061046949","https://openalex.org/W2062186327","https://openalex.org/W2063958435","https://openalex.org/W2065511632","https://openalex.org/W2065642067","https://openalex.org/W2067885219","https://openalex.org/W2069802481","https://openalex.org/W2072509556","https://openalex.org/W2073883415","https://openalex.org/W2083029259","https://openalex.org/W2093572647","https://openalex.org/W2094255508","https://openalex.org/W2106044591","https://openalex.org/W2107759439","https://openalex.org/W2108949035","https://openalex.org/W2130900035","https://openalex.org/W2137204852","https://openalex.org/W2138516811","https://openalex.org/W2140695747","https://openalex.org/W2141948130","https://openalex.org/W2142605527","https://openalex.org/W2143296882","https://openalex.org/W2143593953","https://openalex.org/W2150359067","https://openalex.org/W2161701013","https://openalex.org/W2272894421","https://openalex.org/W2291176401","https://openalex.org/W2304932561","https://openalex.org/W2309165934","https://openalex.org/W2318568688","https://openalex.org/W2343905117","https://openalex.org/W2408377373","https://openalex.org/W2423094380","https://openalex.org/W2478414316","https://openalex.org/W2487087946","https://openalex.org/W2495036309","https://openalex.org/W2519746072","https://openalex.org/W2549184242","https://openalex.org/W2618830634","https://openalex.org/W2762568546","https://openalex.org/W2769668329","https://openalex.org/W2780363565","https://openalex.org/W2783350994","https://openalex.org/W2791328889","https://openalex.org/W2802411748","https://openalex.org/W2808905074","https://openalex.org/W2811032661","https://openalex.org/W2887887128","https://openalex.org/W2889025915","https://openalex.org/W2891454244","https://openalex.org/W2899645870","https://openalex.org/W2907882001","https://openalex.org/W2920548804","https://openalex.org/W2960766610","https://openalex.org/W2969857695","https://openalex.org/W2970885557","https://openalex.org/W2975358916","https://openalex.org/W2987204935","https://openalex.org/W2989700724","https://openalex.org/W2991459440","https://openalex.org/W2992321006","https://openalex.org/W2994312904","https://openalex.org/W2994854023","https://openalex.org/W2995502771","https://openalex.org/W2996389362","https://openalex.org/W2996971784","https://openalex.org/W2998137222","https://openalex.org/W2998709485","https://openalex.org/W3000302323","https://openalex.org/W3001758897","https://openalex.org/W3004928015","https://openalex.org/W3005376489","https://openalex.org/W3007086118","https://openalex.org/W3010185485","https://openalex.org/W3010914732","https://openalex.org/W3020916385","https://openalex.org/W3021602566","https://openalex.org/W3034994110","https://openalex.org/W3040332201","https://openalex.org/W3042732618","https://openalex.org/W3049181801","https://openalex.org/W3049651666","https://openalex.org/W3099487920","https://openalex.org/W3109885934","https://openalex.org/W4230777928","https://openalex.org/W4239313320","https://openalex.org/W4399570248","https://openalex.org/W6627674431","https://openalex.org/W6657577332","https://openalex.org/W6680677366","https://openalex.org/W6680692258","https://openalex.org/W6682194598","https://openalex.org/W6693698958","https://openalex.org/W6738500321","https://openalex.org/W6754693072","https://openalex.org/W6869422906"],"related_works":["https://openalex.org/W2327035729","https://openalex.org/W2348748958","https://openalex.org/W3039673966","https://openalex.org/W1538046993","https://openalex.org/W2884325279","https://openalex.org/W1570592793","https://openalex.org/W1525436954","https://openalex.org/W2385662756","https://openalex.org/W2585372724","https://openalex.org/W2241444561"],"abstract_inverted_index":{"The":[0,14,100,230,273,312],"uncertainty":[1],"of":[2,18,22,35,73,130,138,147,156,166,196,209,232,251,287,293,296,300,344],"flash":[3,19,85],"flood":[4,20,86,151,158,168,367],"makes":[5],"them":[6],"highly":[7,52],"difficult":[8,28],"to":[9,29,47,55,68,126,149,177,189,261,338,365],"predict":[10],"through":[11,76,88],"conventional":[12],"models.":[13,247,323],"physical":[15],"hydrologic":[16],"models":[17,44,75],"prediction":[21,61,71,98,216],"any":[23,135],"large":[24],"area":[25,282],"is":[26,64,82],"very":[27],"compute":[30],"as":[31,160,172,202],"it":[32],"requires":[33],"lot":[34],"data":[36,42,57],"and":[37,59,115,163,183,193,215,225,242,268,298,319,361],"time.":[38],"Therefore":[39],"remote":[40],"sensing":[41],"based":[43],"(from":[45],"statistical":[46,185],"machine":[48,91,102,198,354],"learning)":[49],"have":[50,334,358],"become":[51,303],"popular":[53],"due":[54],"open":[56],"access":[58],"lesser":[60],"times.":[62],"There":[63],"a":[65,164],"continuous":[66],"effort":[67],"improve":[69,96],"the":[70,97,108,128,131,143,179,191,203,210,233,249,252,284,304,310,331,335,342,345,348,353],"accuracy":[72],"these":[74,197],"introducing":[77],"new":[78],"methods.":[79],"This":[80],"study":[81,253],"focused":[83],"on":[84,341],"modeling":[87],"novel":[89],"hybrid":[90,101],"learning":[92,103,199,355],"models,":[93,200],"which":[94],"can":[95,123,362],"accuracy.":[99],"ensemble":[104,278,307,356],"approaches":[105],"that":[106,122,330],"combine":[107],"three":[109],"meta-classifiers":[110],"(Real":[111],"AdaBoost,":[112,238],"Random":[113,274],"Subspace,":[114],"MultiBoosting)":[116],"with":[117,280],"J48":[118,276],"(a":[119],"tree-based":[120],"algorithm":[121],"be":[124,363],"used":[125,141,176,364],"evaluate":[127],"behavior":[129],"attribute":[132],"vector":[133],"for":[134,321],"defined":[136],"number":[137],"instances)":[139],"were":[140,175,187],"in":[142,308,370],"Gorganroud":[144],"River":[145],"Basin":[146],"Iran":[148],"assess":[150],"susceptibility":[152],"(FS).":[153],"A":[154],"total":[155,165],"426":[157],"positions":[159],"dependent":[161],"variables":[162,174],"14":[167],"conditioning":[169],"factors":[170],"(FCFs)":[171],"independent":[173,184],"model":[178],"FS.":[180,311],"Several":[181],"threshold-dependent":[182],"tests":[186],"applied":[188],"verify":[190],"performance":[192,318],"predictive":[194],"capability":[195],"such":[201],"receiver":[204],"operating":[205],"characteristic":[206],"(ROC)":[207],"curve":[208,213,218,285],"success":[211],"rate":[212,217],"(SRC)":[214],"(PRC),":[219,291],"efficiency":[220],"(E),":[221],"root-mean":[222],"square-error":[223],"(RMSE),":[224],"true":[226],"skill":[227],"statistics":[228],"(TSS).":[229],"valuation":[231],"FCFs":[234],"was":[235],"done":[236],"using":[237,352],"frequency":[239],"ratio":[240],"(FR),":[241],"Boosted":[243],"Regression":[244],"Tree":[245],"(BRT)":[246],"In":[248],"flooding":[250],"area,":[254],"altitude,":[255],"land":[256],"use/land":[257],"cover":[258],"(LU/LC),":[259],"distance":[260],"stream,":[262],"normalized":[263],"differential":[264],"vegetation":[265],"index":[266],"(NDVI),":[267],"rainfall":[269],"played":[270],"important":[271],"roles.":[272],"Subspace":[275],"(RSJ48)":[277],"method":[279],"an":[281],"under":[283],"(AUC)":[286],"0.931":[288],"(SRC),":[289],"0.951":[290],"E":[292],"0.89,":[294],"sensitivity":[295,326,337],"0.87,":[297],"TSS":[299],"0.78,":[301],"has":[302],"most":[305],"effective":[306],"predicting":[309],"FR":[313],"technique":[314],"also":[315],"showed":[316],"good":[317],"reliability":[320],"all":[322],"Map":[324],"removal":[325],"analysis":[327],"(MRSA)":[328],"revealed":[329],"FS":[332,349],"maps":[333,350],"highest":[336],"elevation.":[339],"Based":[340],"findings":[343],"validation":[346],"methods,":[347],"prepared":[351],"techniques":[357],"high":[359],"robustness":[360],"advise":[366],"management":[368],"initiatives":[369],"flood-prone":[371],"areas.":[372]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
