{"id":"https://openalex.org/W4402261728","doi":"https://doi.org/10.1109/igarss53475.2024.10640651","title":"Electrical Conductivity and Calcium Carbonate Mapping Combining Prisma Imagery and Machine Learning Techniques","display_name":"Electrical Conductivity and Calcium Carbonate Mapping Combining Prisma Imagery and Machine Learning Techniques","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402261728","doi":"https://doi.org/10.1109/igarss53475.2024.10640651"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10640651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10640651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094119175","display_name":"Najmeh Rasooli","orcid":null},"institutions":[{"id":"https://openalex.org/I115566878","display_name":"Shahid Bahonar University of Kerman","ror":"https://ror.org/04zn42r77","country_code":"IR","type":"education","lineage":["https://openalex.org/I115566878"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"N. Rasooli","raw_affiliation_strings":["Shahid Bahonar University of Kerman,Faculty of Agriculture,Department of Soil Science"],"affiliations":[{"raw_affiliation_string":"Shahid Bahonar University of Kerman,Faculty of Agriculture,Department of Soil Science","institution_ids":["https://openalex.org/I115566878"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041849233","display_name":"Saham Mirzaei","orcid":"https://orcid.org/0000-0002-8724-1725"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210115556","display_name":"National Research Council - Institute of Methodologies for Environmental Analysis","ror":"https://ror.org/024ye7w89","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"S. Mirzaei","raw_affiliation_strings":["Institute of Methodologies for Environmental Analysis (IMAA)- Italian National Research Council (CNR),Tito Scalo,Italy,85050"],"affiliations":[{"raw_affiliation_string":"Institute of Methodologies for Environmental Analysis (IMAA)- Italian National Research Council (CNR),Tito Scalo,Italy,85050","institution_ids":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011054993","display_name":"Stefano Pignatti","orcid":"https://orcid.org/0000-0002-0587-8926"},"institutions":[{"id":"https://openalex.org/I4210115556","display_name":"National Research Council - Institute of Methodologies for Environmental Analysis","ror":"https://ror.org/024ye7w89","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"S. Pignatti","raw_affiliation_strings":["Institute of Methodologies for Environmental Analysis (IMAA)- Italian National Research Council (CNR),Tito Scalo,Italy,85050"],"affiliations":[{"raw_affiliation_string":"Institute of Methodologies for Environmental Analysis (IMAA)- Italian National Research Council (CNR),Tito Scalo,Italy,85050","institution_ids":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5094119175"],"corresponding_institution_ids":["https://openalex.org/I115566878"],"apc_list":null,"apc_paid":null,"fwci":0.7274,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75909501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3678","last_page":"3681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9901999831199646,"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":0.9901999831199646,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9757000207901001,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9508000016212463,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/conductivity","display_name":"Conductivity","score":0.5111425518989563},{"id":"https://openalex.org/keywords/calcium-carbonate","display_name":"Calcium carbonate","score":0.4946746528148651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48002853989601135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47083353996276855},{"id":"https://openalex.org/keywords/electrical-resistivity-and-conductivity","display_name":"Electrical resistivity and conductivity","score":0.4106462001800537},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3625587224960327},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34228357672691345},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.15387478470802307},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.13608527183532715},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12723752856254578},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.07699382305145264}],"concepts":[{"id":"https://openalex.org/C131540310","wikidata":"https://www.wikidata.org/wiki/Q907564","display_name":"Conductivity","level":2,"score":0.5111425518989563},{"id":"https://openalex.org/C2778039128","wikidata":"https://www.wikidata.org/wiki/Q23767","display_name":"Calcium carbonate","level":2,"score":0.4946746528148651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48002853989601135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47083353996276855},{"id":"https://openalex.org/C69990965","wikidata":"https://www.wikidata.org/wiki/Q65402698","display_name":"Electrical resistivity and conductivity","level":2,"score":0.4106462001800537},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3625587224960327},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34228357672691345},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.15387478470802307},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.13608527183532715},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12723752856254578},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.07699382305145264},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10640651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10640651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2015989799","https://openalex.org/W2056774953","https://openalex.org/W2095713192","https://openalex.org/W2155330034","https://openalex.org/W2217725511","https://openalex.org/W2907522931","https://openalex.org/W3012072859","https://openalex.org/W3205068699","https://openalex.org/W4210539174","https://openalex.org/W4381434752","https://openalex.org/W4383499476","https://openalex.org/W4392646289"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Soil":[0],"salinization":[1],"and":[2,17,33,38,47,70,117],"calcification":[3],"in":[4,29,85],"arid":[5],"lands":[6],"facilitate":[7],"the":[8,12,24,58,61,82,107,124,142,147],"desertification":[9],"process,":[10],"reduce":[11],"nutrient":[13],"availability":[14],"for":[15,98,118,151],"plants,":[16],"disturb":[18],"ecological":[19],"equilibrium.":[20],"The":[21,95],"achievement":[22],"of":[23,26,60,68,149],"perspectives":[25],"spatial":[27,66],"variation":[28],"electrical":[30],"conductivity":[31],"(EC)":[32],"calcium":[34],"carbonate":[35],"equivalent":[36],"(CCE)":[37],"monitoring":[39],"based":[40],"on":[41],"imaging":[42],"spectroscopy":[43],"sensors":[44],"ensures":[45],"sustainable":[46],"reliable":[48],"management":[49],"over":[50],"large":[51],"areas.":[52],"In":[53],"this":[54],"study,":[55],"to":[56,64],"evaluate":[57],"capability":[59,148],"PRISMA":[62,102,150],"imagery":[63,103],"predict":[65],"variations":[67],"EC":[69,152],"CCE":[71,99],"using":[72,101],"machine":[73],"learning":[74],"(ML)":[75],"regression":[76,128],"algorithms,":[77],"252":[78],"soil":[79],"samples":[80],"from":[81],"Sirjan":[83],"region":[84],"Iran,":[86],"which":[87],"is":[88,141],"mainly":[89],"under":[90],"pistachio":[91],"cultivation,":[92],"were":[93],"used.":[94],"highest":[96],"accuracy":[97],"estimation":[100],"was":[104,121],"acquired":[105,122],"by":[106,123],"Gaussian":[108],"Process":[109],"Regression":[110],"(GPR)":[111],"algorithm":[112,130],"(R<sup":[113,131],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[114,132],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>=0.75,":[115],"RMSE=4.09),":[116],"EC,":[119],"it":[120],"partial":[125],"least":[126],"squares":[127],"(PLSR)":[129],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>=0.64,":[133],"RMSE=44.8).":[134],"Moreover,":[135],"results":[136],"demonstrate":[137],"that":[138],"gypsum":[139],"abundance":[140],"main":[143],"confounding":[144],"parameter":[145],"impacting":[146],"estimation.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
