{"id":"https://openalex.org/W4391937096","doi":"https://doi.org/10.1109/whispers61460.2023.10431009","title":"Assessing Machine Learning Models for Soil Property Prediction Using Resampled Spectral Data: Implications for Hyperspectral Spaceborne Imaging","display_name":"Assessing Machine Learning Models for Soil Property Prediction Using Resampled Spectral Data: Implications for Hyperspectral Spaceborne Imaging","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4391937096","doi":"https://doi.org/10.1109/whispers61460.2023.10431009"},"language":"en","primary_location":{"id":"doi:10.1109/whispers61460.2023.10431009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers61460.2023.10431009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5036412384","display_name":"Theodoros Tsatsoulis","orcid":"https://orcid.org/0000-0002-4126-4075"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]},{"id":"https://openalex.org/I2801260094","display_name":"Interbalkan Medical Center","ror":"https://ror.org/02hxrrn62","country_code":"GR","type":"healthcare","lineage":["https://openalex.org/I2801260094"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Theodoros Tsatsoulis","raw_affiliation_strings":["Aristotle University of Thessaloniki,SpectraLab Group, Laboratory of Remote Sensing, Spectroscopy, and GIS, School of Agriculture,Thermi,Greece,57001","Interbalkan Environment Center, Lagadas, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,SpectraLab Group, Laboratory of Remote Sensing, Spectroscopy, and GIS, School of Agriculture,Thermi,Greece,57001","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Interbalkan Environment Center, Lagadas, Greece","institution_ids":["https://openalex.org/I2801260094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041629110","display_name":"Nikolaos Tsakiridis","orcid":"https://orcid.org/0000-0002-1904-9029"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]},{"id":"https://openalex.org/I2801260094","display_name":"Interbalkan Medical Center","ror":"https://ror.org/02hxrrn62","country_code":"GR","type":"healthcare","lineage":["https://openalex.org/I2801260094"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikolaos L. Tsakiridis","raw_affiliation_strings":["Aristotle University of Thessaloniki,SpectraLab Group, Laboratory of Remote Sensing, Spectroscopy, and GIS, School of Agriculture,Thermi,Greece,57001","Interbalkan Environment Center, Lagadas, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,SpectraLab Group, Laboratory of Remote Sensing, Spectroscopy, and GIS, School of Agriculture,Thermi,Greece,57001","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Interbalkan Environment Center, Lagadas, Greece","institution_ids":["https://openalex.org/I2801260094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072034221","display_name":"Konstantinos Karyotis","orcid":"https://orcid.org/0000-0003-1190-5772"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]},{"id":"https://openalex.org/I2801260094","display_name":"Interbalkan Medical Center","ror":"https://ror.org/02hxrrn62","country_code":"GR","type":"healthcare","lineage":["https://openalex.org/I2801260094"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantinos Karyotis","raw_affiliation_strings":["Aristotle University of Thessaloniki,SpectraLab Group, Laboratory of Remote Sensing, Spectroscopy, and GIS, School of Agriculture,Thermi,Greece,57001","Interbalkan Environment Center, Lagadas, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,SpectraLab Group, Laboratory of Remote Sensing, Spectroscopy, and GIS, School of Agriculture,Thermi,Greece,57001","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Interbalkan Environment Center, Lagadas, Greece","institution_ids":["https://openalex.org/I2801260094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005613465","display_name":"George Zalidis","orcid":"https://orcid.org/0000-0001-8078-2601"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]},{"id":"https://openalex.org/I2801260094","display_name":"Interbalkan Medical Center","ror":"https://ror.org/02hxrrn62","country_code":"GR","type":"healthcare","lineage":["https://openalex.org/I2801260094"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George C. Zalidis","raw_affiliation_strings":["Aristotle University of Thessaloniki,SpectraLab Group, Laboratory of Remote Sensing, Spectroscopy, and GIS, School of Agriculture,Thermi,Greece,57001","Interbalkan Environment Center, Lagadas, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,SpectraLab Group, Laboratory of Remote Sensing, Spectroscopy, and GIS, School of Agriculture,Thermi,Greece,57001","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Interbalkan Environment Center, Lagadas, Greece","institution_ids":["https://openalex.org/I2801260094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6242,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68821941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9993000030517578,"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":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9576897025108337},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.6735918521881104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.605822741985321},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5435817241668701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46300792694091797},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.46186739206314087},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4202347695827484},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3415451645851135},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18952986598014832}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9576897025108337},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.6735918521881104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.605822741985321},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5435817241668701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46300792694091797},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.46186739206314087},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4202347695827484},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3415451645851135},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18952986598014832},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers61460.2023.10431009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers61460.2023.10431009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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":14,"referenced_works":["https://openalex.org/W3644042","https://openalex.org/W1592341820","https://openalex.org/W2001804870","https://openalex.org/W2019727432","https://openalex.org/W2041079267","https://openalex.org/W2547367975","https://openalex.org/W2768533279","https://openalex.org/W2911964244","https://openalex.org/W2923714778","https://openalex.org/W2971953399","https://openalex.org/W2980322467","https://openalex.org/W3010310735","https://openalex.org/W3208125946","https://openalex.org/W4308695913"],"related_works":["https://openalex.org/W2385371209","https://openalex.org/W2911259277","https://openalex.org/W2800956885","https://openalex.org/W4250051149","https://openalex.org/W2533019003","https://openalex.org/W2083270190","https://openalex.org/W1788560349","https://openalex.org/W2626158795","https://openalex.org/W2078656815","https://openalex.org/W2391021239"],"abstract_inverted_index":{"This":[0,137],"study":[1],"explores":[2],"the":[3,18,27,38,80,86,99,102,106,125,144,152,170],"predictive":[4,115],"capabilities":[5],"of":[6,29,101,117,147,154,172],"machine":[7,65],"learning":[8,66],"models":[9],"for":[10,85,162,175],"soil":[11,120,167],"properties":[12,121],"using":[13,63],"hyperspectral":[14,72,149,163],"data":[15,150],"sourced":[16],"from":[17],"LUCAS":[19,39],"2009":[20,40],"spectral":[21,41,82,173],"library":[22,42],"and":[23,31,43,51,61],"resampled":[24,45,71,107],"to":[25,89,111,142],"match":[26],"characteristics":[28],"DESIS":[30,108,148],"Sentinel-2A":[32],"Multispectral":[33],"Instrument":[34],"(Sentinel-2)":[35],"sensors.":[36],"Leveraging":[37],"its":[44],"versions,":[46],"we":[47,54],"examine":[48],"model":[49],"performance":[50,75,116],"more":[52],"concretely":[53],"assess":[55,143],"organic":[56],"carbon":[57],"content,":[58],"clay":[59],"fraction,":[60],"pH,":[62],"different":[64],"models.":[67],"Models":[68],"trained":[69],"on":[70,159],"exhibit":[73],"similar":[74],"with":[76,124,133],"laboratory":[77,155],"spectra":[78],"within":[79],"same":[81],"range.":[83],"However,":[84],"full":[87,126],"visible":[88],"shortwave":[90],"infrared":[91],"(SWIR)":[92],"spectrum":[93,127],"this":[94],"does":[95],"not":[96],"apply":[97],"since":[98],"omission":[100],"SWIR":[103],"region":[104],"in":[105,114,129,166],"data,":[109,156],"led":[110],"a":[112],"decline":[113],"modeling":[118,145],"key":[119],"compared":[122],"either":[123],"or":[128],"some":[130],"cases":[131],"even":[132],"multispectral":[134],"Sentinel-2":[135],"data.":[136],"work":[138],"is":[139],"an":[140],"effort":[141],"potential":[146],"through":[151],"resampling":[153],"shedding":[157],"light":[158],"their":[160],"implication":[161],"remote":[164],"sensing":[165],"mapping,":[168],"emphasizing":[169],"importance":[171],"fidelity":[174],"accurate":[176],"predictions.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
