{"id":"https://openalex.org/W4399362359","doi":"https://doi.org/10.3390/make6020059","title":"Machine Learning in Geosciences: A Review of Complex Environmental Monitoring Applications","display_name":"Machine Learning in Geosciences: A Review of Complex Environmental Monitoring Applications","publication_year":2024,"publication_date":"2024-06-05","ids":{"openalex":"https://openalex.org/W4399362359","doi":"https://doi.org/10.3390/make6020059"},"language":"en","primary_location":{"id":"doi:10.3390/make6020059","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make6020059","pdf_url":"https://www.mdpi.com/2504-4990/6/2/59/pdf?version=1717575807","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"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":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"type":"review","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-4990/6/2/59/pdf?version=1717575807","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049018784","display_name":"Maria Silvia Binetti","orcid":"https://orcid.org/0000-0002-3696-1589"},"institutions":[{"id":"https://openalex.org/I4210118596","display_name":"Water Research Institute","ror":"https://ror.org/02db0kh50","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210118596","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Maria Silvia Binetti","raw_affiliation_strings":["Department of Earth and Geoenvironmental Sciences, University of Bari Aldo Moro, 70125 Bari, Italy","Water Research Institute, Italian National Research Council (IRSA-CNR), 70132 Bari, Italy"],"raw_orcid":"https://orcid.org/0000-0002-3696-1589","affiliations":[{"raw_affiliation_string":"Department of Earth and Geoenvironmental Sciences, University of Bari Aldo Moro, 70125 Bari, Italy","institution_ids":["https://openalex.org/I5561750"]},{"raw_affiliation_string":"Water Research Institute, Italian National Research Council (IRSA-CNR), 70132 Bari, Italy","institution_ids":["https://openalex.org/I4210155236","https://openalex.org/I4210118596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039513971","display_name":"Carmine Massarelli","orcid":"https://orcid.org/0000-0001-8006-6998"},"institutions":[{"id":"https://openalex.org/I4210118596","display_name":"Water Research Institute","ror":"https://ror.org/02db0kh50","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210118596","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carmine Massarelli","raw_affiliation_strings":["Water Research Institute, Italian National Research Council (IRSA-CNR), 70132 Bari, Italy"],"raw_orcid":"https://orcid.org/0000-0001-8006-6998","affiliations":[{"raw_affiliation_string":"Water Research Institute, Italian National Research Council (IRSA-CNR), 70132 Bari, Italy","institution_ids":["https://openalex.org/I4210155236","https://openalex.org/I4210118596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007472398","display_name":"Vito Felice Uricchio","orcid":"https://orcid.org/0000-0003-1373-7055"},"institutions":[{"id":"https://openalex.org/I4210118596","display_name":"Water Research Institute","ror":"https://ror.org/02db0kh50","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210118596","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Vito Felice Uricchio","raw_affiliation_strings":["Water Research Institute, Italian National Research Council (IRSA-CNR), 70132 Bari, Italy"],"raw_orcid":"https://orcid.org/0000-0003-1373-7055","affiliations":[{"raw_affiliation_string":"Water Research Institute, Italian National Research Council (IRSA-CNR), 70132 Bari, Italy","institution_ids":["https://openalex.org/I4210155236","https://openalex.org/I4210118596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007472398","https://openalex.org/A5049018784"],"corresponding_institution_ids":["https://openalex.org/I4210118596","https://openalex.org/I4210155236","https://openalex.org/I5561750"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":14.6431,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.99179584,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"6","issue":"2","first_page":"1263","last_page":"1280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9517999887466431,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9517999887466431,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9456999897956848,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9276999831199646,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.5155572891235352},{"id":"https://openalex.org/keywords/environmental-monitoring","display_name":"Environmental monitoring","score":0.42357397079467773},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.3389394283294678},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3377782106399536},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.27475255727767944},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20294812321662903},{"id":"https://openalex.org/keywords/environmental-engineering","display_name":"Environmental engineering","score":0.07140004634857178}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5155572891235352},{"id":"https://openalex.org/C539469273","wikidata":"https://www.wikidata.org/wiki/Q1749732","display_name":"Environmental monitoring","level":2,"score":0.42357397079467773},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.3389394283294678},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3377782106399536},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.27475255727767944},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20294812321662903},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.07140004634857178}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/make6020059","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make6020059","pdf_url":"https://www.mdpi.com/2504-4990/6/2/59/pdf?version=1717575807","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"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":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f1c0abd003814276954c7914b06fcbe8","is_oa":false,"landing_page_url":"https://doaj.org/article/f1c0abd003814276954c7914b06fcbe8","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning and Knowledge Extraction, Vol 6, Iss 2, Pp 1263-1280 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/make6020059","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make6020059","pdf_url":"https://www.mdpi.com/2504-4990/6/2/59/pdf?version=1717575807","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"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":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399362359.pdf"},"referenced_works_count":96,"referenced_works":["https://openalex.org/W43382659","https://openalex.org/W139586639","https://openalex.org/W195238530","https://openalex.org/W964460774","https://openalex.org/W1887369574","https://openalex.org/W2062848325","https://openalex.org/W2068141066","https://openalex.org/W2078839611","https://openalex.org/W2088252378","https://openalex.org/W2122111042","https://openalex.org/W2132221774","https://openalex.org/W2162387923","https://openalex.org/W2216946510","https://openalex.org/W2334791991","https://openalex.org/W2342603028","https://openalex.org/W2576683119","https://openalex.org/W2756291343","https://openalex.org/W2765651931","https://openalex.org/W2768149277","https://openalex.org/W2895860622","https://openalex.org/W2902775161","https://openalex.org/W2911964244","https://openalex.org/W2934386742","https://openalex.org/W2963008249","https://openalex.org/W2976651693","https://openalex.org/W2998681661","https://openalex.org/W3003165758","https://openalex.org/W3011668469","https://openalex.org/W3033828772","https://openalex.org/W3037223096","https://openalex.org/W3037287417","https://openalex.org/W3042432682","https://openalex.org/W3082128161","https://openalex.org/W3093016721","https://openalex.org/W3104060823","https://openalex.org/W3107569396","https://openalex.org/W3111017134","https://openalex.org/W3114575555","https://openalex.org/W3118851135","https://openalex.org/W3128444610","https://openalex.org/W3132082502","https://openalex.org/W3135028703","https://openalex.org/W3146691563","https://openalex.org/W3152894225","https://openalex.org/W3157710750","https://openalex.org/W3168039476","https://openalex.org/W3172805721","https://openalex.org/W3185276638","https://openalex.org/W3193638860","https://openalex.org/W3195438473","https://openalex.org/W3198631552","https://openalex.org/W3199946089","https://openalex.org/W3200542697","https://openalex.org/W3209340886","https://openalex.org/W3214436241","https://openalex.org/W4200390735","https://openalex.org/W4206046985","https://openalex.org/W4206385763","https://openalex.org/W4224839097","https://openalex.org/W4225114460","https://openalex.org/W4226309365","https://openalex.org/W4236137412","https://openalex.org/W4244190327","https://openalex.org/W4280528163","https://openalex.org/W4283390659","https://openalex.org/W4284958113","https://openalex.org/W4309234634","https://openalex.org/W4310999218","https://openalex.org/W4311365868","https://openalex.org/W4313427710","https://openalex.org/W4313472525","https://openalex.org/W4313559031","https://openalex.org/W4313650698","https://openalex.org/W4318617179","https://openalex.org/W4321607535","https://openalex.org/W4322742191","https://openalex.org/W4323349270","https://openalex.org/W4360849780","https://openalex.org/W4365148287","https://openalex.org/W4365814664","https://openalex.org/W4384343639","https://openalex.org/W4385978192","https://openalex.org/W4387365579","https://openalex.org/W4387741727","https://openalex.org/W4388797465","https://openalex.org/W4389314768","https://openalex.org/W4389430947","https://openalex.org/W4391723040","https://openalex.org/W4392477513","https://openalex.org/W4392956504","https://openalex.org/W4400134761","https://openalex.org/W6601744372","https://openalex.org/W6729429595","https://openalex.org/W6799744991","https://openalex.org/W6836544347","https://openalex.org/W6869554581"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"This":[0,57],"is":[1],"a":[2,17,115,136],"systematic":[3],"literature":[4,125],"review":[5,58],"of":[6,9,32,72,85,108,130,174],"the":[7,70,81,106,112,127,172,177],"application":[8],"machine":[10],"learning":[11],"(ML)":[12],"algorithms":[13],"in":[14,90,132],"geosciences,":[15],"with":[16,25,114],"focus":[18,117],"on":[19,50,111,118,191],"environmental":[20,98,175,207],"monitoring":[21,99],"applications.":[22],"ML":[23,131],"algorithms,":[24],"their":[26],"ability":[27],"to":[28,46,103],"analyze":[29],"vast":[30],"quantities":[31],"data,":[33],"decipher":[34],"complex":[35],"relationships,":[36],"and":[37,41,53,62,80,83,87,120,168,188,200,206],"predict":[38],"future":[39],"events,":[40],"they":[42],"offer":[43,180],"promising":[44],"capabilities":[45],"implement":[47],"technologies":[48],"based":[49,190],"more":[51,192],"precise":[52],"reliable":[54],"data":[55,204],"processing.":[56],"considers":[59],"several":[60],"vulnerable":[61],"particularly":[63],"at-risk":[64],"themes":[65],"as":[66],"landfills,":[67],"mining":[68],"activities,":[69],"protection":[71],"coastal":[73],"dunes,":[74],"illegal":[75],"discharges":[76],"into":[77],"water":[78,88,119],"bodies,":[79],"pollution":[82],"degradation":[84],"soil":[86,121],"matrices":[89],"large":[91],"industrial":[92],"complexes.":[93],"These":[94],"case":[95],"studies":[96],"about":[97],"provide":[100],"an":[101],"opportunity":[102],"better":[104],"examine":[105],"impact":[107],"human":[109],"activities":[110],"environment,":[113],"specific":[116],"matrices.":[122],"The":[123],"recent":[124],"underscores":[126],"increasing":[128],"importance":[129],"these":[133],"contexts,":[134],"highlighting":[135],"preference":[137],"for":[138],"adapted":[139],"classic":[140],"models:":[141],"random":[142],"forest":[143],"(RF)":[144],"(the":[145],"most":[146],"widely":[147],"used),":[148],"decision":[149],"trees":[150],"(DTs),":[151],"support":[152],"vector":[153],"machines":[154],"(SVMs),":[155],"artificial":[156],"neural":[157,161],"networks":[158,162],"(ANNs),":[159],"convolutional":[160],"(CNNs),":[163],"principal":[164],"component":[165],"analysis":[166],"(PCA),":[167],"much":[169],"more.":[170],"In":[171],"field":[173],"management,":[176],"following":[178],"methodologies":[179],"invaluable":[181],"insights":[182],"that":[183],"can":[184],"steer":[185],"strategic":[186],"planning":[187],"decision-making":[189],"accurate":[193],"image":[194],"classification,":[195,203,205],"prediction":[196],"models,":[197],"object":[198],"detection":[199],"recognition,":[201],"map":[202],"variable":[208],"predictions.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
