{"id":"https://openalex.org/W3005376489","doi":"https://doi.org/10.3390/rs12030475","title":"Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran","display_name":"Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran","publication_year":2020,"publication_date":"2020-02-03","ids":{"openalex":"https://openalex.org/W3005376489","doi":"https://doi.org/10.3390/rs12030475","mag":"3005376489"},"language":"en","primary_location":{"id":"doi:10.3390/rs12030475","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12030475","pdf_url":"https://www.mdpi.com/2072-4292/12/3/475/pdf?version=1580726784","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/2072-4292/12/3/475/pdf?version=1580726784","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":true,"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 732101, West Bengal, India"],"raw_orcid":"https://orcid.org/0000-0003-2739-3716","affiliations":[{"raw_affiliation_string":"Department of Geography, University of Gour Banga, Malda 732101, West Bengal, India","institution_ids":["https://openalex.org/I33932797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110670728","display_name":"Jagabandhu Roy","orcid":null},"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":"Jagabandhu Roy","raw_affiliation_strings":["Department of Geography, University of Gour Banga, Malda 732101, West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Gour Banga, Malda 732101, West Bengal, India","institution_ids":["https://openalex.org/I33932797"]}]},{"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":"https://orcid.org/0000-0002-5825-1422","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/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\u2014Z_GIS, University of Salzburg, 5020 Salzburg, Austria"],"raw_orcid":"https://orcid.org/0000-0002-1860-8458","affiliations":[{"raw_affiliation_string":"Department of Geoinformatics\u2014Z_GIS, University of Salzburg, 5020 Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076352077","display_name":"Dieu Tien Bui","orcid":"https://orcid.org/0000-0001-5161-6479"},"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"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Dieu Tien Bui","raw_affiliation_strings":["Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam"],"raw_orcid":"https://orcid.org/0000-0001-5161-6479","affiliations":[{"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":5,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5063208791","https://openalex.org/A5076352077"],"corresponding_institution_ids":["https://openalex.org/I1516879","https://openalex.org/I170238339"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":1640,"currency":"EUR","value_usd":1768},"fwci":46.8644,"has_fulltext":false,"cited_by_count":232,"citation_normalized_percentile":{"value":0.99853584,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"12","issue":"3","first_page":"475","last_page":"475"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9998999834060669,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9769999980926514,"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/T10555","display_name":"Fire effects on ecosystems","score":0.9714999794960022,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.7870009541511536},{"id":"https://openalex.org/keywords/watershed","display_name":"Watershed","score":0.6447165012359619},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.48431912064552307},{"id":"https://openalex.org/keywords/drainage-basin","display_name":"Drainage basin","score":0.4540886878967285},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.4488877058029175},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.4366612136363983},{"id":"https://openalex.org/keywords/hydrology","display_name":"Hydrology (agriculture)","score":0.41785502433776855},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4054250717163086},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3745590150356293},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3617281913757324},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.34971728920936584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.28709161281585693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2505655884742737},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22131502628326416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18978962302207947},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1629718840122223},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.1552722454071045},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12210845947265625},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.10268133878707886}],"concepts":[{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.7870009541511536},{"id":"https://openalex.org/C150547873","wikidata":"https://www.wikidata.org/wiki/Q947851","display_name":"Watershed","level":2,"score":0.6447165012359619},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.48431912064552307},{"id":"https://openalex.org/C126645576","wikidata":"https://www.wikidata.org/wiki/Q166620","display_name":"Drainage basin","level":2,"score":0.4540886878967285},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.4488877058029175},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.4366612136363983},{"id":"https://openalex.org/C76886044","wikidata":"https://www.wikidata.org/wiki/Q2883300","display_name":"Hydrology (agriculture)","level":2,"score":0.41785502433776855},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4054250717163086},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3745590150356293},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3617281913757324},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.34971728920936584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.28709161281585693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2505655884742737},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22131502628326416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18978962302207947},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1629718840122223},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.1552722454071045},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12210845947265625},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.10268133878707886}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12030475","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12030475","pdf_url":"https://www.mdpi.com/2072-4292/12/3/475/pdf?version=1580726784","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:42fcf43cb24a4cdd9ed2e21f9e748bee","is_oa":true,"landing_page_url":"https://doaj.org/article/42fcf43cb24a4cdd9ed2e21f9e748bee","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 3, p 475 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/3/475/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12030475","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 3; Pages: 475","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12030475","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12030475","pdf_url":"https://www.mdpi.com/2072-4292/12/3/475/pdf?version=1580726784","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":[{"score":0.6899999976158142,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[{"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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":115,"referenced_works":["https://openalex.org/W330585211","https://openalex.org/W573725968","https://openalex.org/W587948812","https://openalex.org/W1541774929","https://openalex.org/W1605688901","https://openalex.org/W1678356000","https://openalex.org/W1728792544","https://openalex.org/W1945589160","https://openalex.org/W1976777460","https://openalex.org/W1977069065","https://openalex.org/W1979486410","https://openalex.org/W1981917018","https://openalex.org/W1983513512","https://openalex.org/W1984195935","https://openalex.org/W1984792953","https://openalex.org/W1984836501","https://openalex.org/W1985245433","https://openalex.org/W1987863459","https://openalex.org/W1989319038","https://openalex.org/W1991929991","https://openalex.org/W2001617968","https://openalex.org/W2003213256","https://openalex.org/W2012360584","https://openalex.org/W2017458088","https://openalex.org/W2022107552","https://openalex.org/W2023155255","https://openalex.org/W2035549409","https://openalex.org/W2042229599","https://openalex.org/W2042951326","https://openalex.org/W2054137409","https://openalex.org/W2054842624","https://openalex.org/W2060465705","https://openalex.org/W2066848039","https://openalex.org/W2067885219","https://openalex.org/W2078026206","https://openalex.org/W2082507487","https://openalex.org/W2083188988","https://openalex.org/W2105714409","https://openalex.org/W2124005542","https://openalex.org/W2128234869","https://openalex.org/W2130697739","https://openalex.org/W2135293965","https://openalex.org/W2137034166","https://openalex.org/W2141397964","https://openalex.org/W2143296882","https://openalex.org/W2193424816","https://openalex.org/W2221487567","https://openalex.org/W2259343653","https://openalex.org/W2277297676","https://openalex.org/W2288228418","https://openalex.org/W2296302855","https://openalex.org/W2316326124","https://openalex.org/W2337403412","https://openalex.org/W2487770199","https://openalex.org/W2499178474","https://openalex.org/W2565127552","https://openalex.org/W2584860397","https://openalex.org/W2590596515","https://openalex.org/W2610291153","https://openalex.org/W2610305023","https://openalex.org/W2616018644","https://openalex.org/W2622015302","https://openalex.org/W2737361719","https://openalex.org/W2741433739","https://openalex.org/W2749324215","https://openalex.org/W2752662423","https://openalex.org/W2761899361","https://openalex.org/W2762568546","https://openalex.org/W2769730725","https://openalex.org/W2773983197","https://openalex.org/W2780363565","https://openalex.org/W2783350994","https://openalex.org/W2791347111","https://openalex.org/W2793729791","https://openalex.org/W2802430161","https://openalex.org/W2847407800","https://openalex.org/W2887697414","https://openalex.org/W2887953559","https://openalex.org/W2890018514","https://openalex.org/W2891131583","https://openalex.org/W2904031581","https://openalex.org/W2905215511","https://openalex.org/W2907882001","https://openalex.org/W2909828915","https://openalex.org/W2911964244","https://openalex.org/W2918763437","https://openalex.org/W2920548804","https://openalex.org/W2921124223","https://openalex.org/W2942378806","https://openalex.org/W2947478025","https://openalex.org/W2952226303","https://openalex.org/W2960766610","https://openalex.org/W2965059688","https://openalex.org/W2968023343","https://openalex.org/W2987204935","https://openalex.org/W2992321006","https://openalex.org/W2994312904","https://openalex.org/W2994847149","https://openalex.org/W2996389362","https://openalex.org/W2998137222","https://openalex.org/W3000302323","https://openalex.org/W3011400958","https://openalex.org/W4250929171","https://openalex.org/W4399570248","https://openalex.org/W6655937572","https://openalex.org/W6664419563","https://openalex.org/W6679000348","https://openalex.org/W6731237938","https://openalex.org/W6741448759","https://openalex.org/W6745064244","https://openalex.org/W6746181134","https://openalex.org/W6758532876","https://openalex.org/W6764307232","https://openalex.org/W6775047284","https://openalex.org/W6869422906"],"related_works":["https://openalex.org/W2389676928","https://openalex.org/W3169474304","https://openalex.org/W2369104181","https://openalex.org/W3201652628","https://openalex.org/W4212972401","https://openalex.org/W2389287188","https://openalex.org/W3081499580","https://openalex.org/W2615020820","https://openalex.org/W3106883776","https://openalex.org/W2950100253"],"abstract_inverted_index":{"This":[0],"analysis":[1],"aims":[2],"to":[3,41,60,95,103,136],"generate":[4],"landslide":[5,65,90,116,153,195,300,342],"susceptibility":[6,196,202,343],"maps":[7,82],"(LSMs)":[8],"using":[9,70,231],"various":[10],"machine":[11],"learning":[12],"methods,":[13],"namely":[14,186],"random":[15],"forest":[16],"(RF),":[17,290],"alternative":[18],"decision":[19],"tree":[20,333],"(ADTree)":[21],"and":[22,34,83,97,105,124,142,147,178,192,209,225,229,246,261,277,280,288,295,308,335,351,355,359,370],"Fisher\u2019s":[23],"Linear":[24],"Discriminant":[25],"Function":[26],"(FLDA).":[27],"The":[28,199,217,251,264,302,338],"results":[29,218,265,303,339],"of":[30,48,57,88,109,129,151,212,219,253,304,323,340,368],"the":[31,49,54,61,107,110,114,127,130,152,160,171,175,213,220,232,259,268,293,305,324,326,330,341,357,366,371],"FLDA,":[32,177],"RF":[33,327],"ADTree":[35,179,336],"models":[36,180,222,254,314],"were":[37,98,119,145,181,227],"compared":[38,230],"with":[39],"regard":[40],"their":[42],"applicability":[43],"for":[44,126,348,353,365],"creating":[45],"an":[46,316],"LSM":[47],"Gallicash":[50],"river":[51],"watershed":[52],"in":[53,74,100,165],"northern":[55],"part":[56],"Iran":[58],"close":[59],"Caspian":[62],"Sea.":[63],"A":[64,86],"inventory":[66],"map":[67],"was":[68,157,255],"created":[69],"GPS":[71],"points":[72],"obtained":[73],"a":[75,148,166,297,321],"field":[76],"analysis,":[77],"high-resolution":[78],"satellite":[79],"images,":[80],"topographic":[81],"historical":[84],"records.":[85],"total":[87,214],"249":[89,115],"sites":[91],"have":[92,315],"been":[93],"identified":[94],"date":[96],"used":[99,120,146],"this":[101],"study":[102,111],"model":[104,328],"validate":[106],"LSMs":[108,172],"region.":[112],"Of":[113],"locations,":[117],"70%":[118],"as":[121,362,364],"training":[122,260],"data":[123],"30%":[125],"validation":[128,262],"resulting":[131],"LSMs.":[132],"Sixteen":[133],"factors":[134,155],"related":[135],"topographical,":[137],"hydrological,":[138],"soil":[139],"type,":[140],"geological":[141],"environmental":[143],"conditions":[144],"multi-collinearity":[149],"test":[150],"conditioning":[154],"(LCFs)":[156],"performed.":[158],"Using":[159],"natural":[161],"break":[162],"method":[163],"(NBM)":[164],"geographic":[167],"information":[168],"system":[169],"(GIS),":[170],"generated":[173],"by":[174],"RF,":[176,224],"categorized":[182],"into":[183],"five":[184],"classes,":[185],"very":[187,193,200],"low,":[188,189],"medium,":[190],"high":[191,194,201],"(LS)":[197],"zones.":[198],"zones":[203],"cover":[204],"15.37%":[205],"(ADTree),":[206,274,285],"16.10%":[207],"(FLDA)":[208,276,287],"11.36%":[210],"(RF)":[211,279],"catchment":[215],"area.":[216],"different":[221],"(FLDA,":[223],"ADTree)":[226],"explained":[228],"area":[233,242],"under":[234],"receiver":[235],"operating":[236],"characteristics":[237],"(AUROC)":[238],"curve,":[239],"seed":[240],"cell":[241],"index":[243],"(SCAI),":[244],"efficiency":[245,307],"true":[247],"skill":[248],"statistic":[249],"(TSS).":[250],"accuracy":[252],"calculated":[256],"considering":[257],"both":[258],"data.":[263],"revealed":[266],"that":[267,312],"AUROC":[269],"success":[270],"rates":[271,282],"are":[272,283],"0.89":[273],"0.92":[275],"0.97":[278],"predication":[281],"0.82":[284],"0.79":[286],"0.98":[289],"which":[291],"justifies":[292],"approach":[294],"indicates":[296],"reasonably":[298],"good":[299],"prediction.":[301],"SCAI,":[306],"TSS":[309],"methods":[310],"showed":[311],"all":[313],"excellent":[317],"modeling":[318,344],"capability.":[319],"In":[320],"comparison":[322],"models,":[325],"outperforms":[329],"boosted":[331],"regression":[332],"(BRT)":[334],"models.":[337],"could":[345],"be":[346],"useful":[347],"land-use":[349],"planning":[350],"decision-makers,":[352],"managing":[354],"controlling":[356],"current":[358],"future":[360],"landslides,":[361],"well":[363],"protection":[367],"society":[369],"ecosystem.":[372]},"counts_by_year":[{"year":2026,"cited_by_count":22},{"year":2025,"cited_by_count":42},{"year":2024,"cited_by_count":40},{"year":2023,"cited_by_count":35},{"year":2022,"cited_by_count":43},{"year":2021,"cited_by_count":29},{"year":2020,"cited_by_count":21}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2020-02-14T00:00:00"}
