{"id":"https://openalex.org/W2891747104","doi":"https://doi.org/10.3390/s18093169","title":"Transfer Learning for Soil Spectroscopy Based on Convolutional Neural Networks and Its Application in Soil Clay Content Mapping Using Hyperspectral Imagery","display_name":"Transfer Learning for Soil Spectroscopy Based on Convolutional Neural Networks and Its Application in Soil Clay Content Mapping Using Hyperspectral Imagery","publication_year":2018,"publication_date":"2018-09-19","ids":{"openalex":"https://openalex.org/W2891747104","doi":"https://doi.org/10.3390/s18093169","mag":"2891747104","pmid":"https://pubmed.ncbi.nlm.nih.gov/30235885"},"language":"en","primary_location":{"id":"doi:10.3390/s18093169","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18093169","pdf_url":"https://www.mdpi.com/1424-8220/18/9/3169/pdf?version=1537428170","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/18/9/3169/pdf?version=1537428170","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049165867","display_name":"Lanfa Liu","orcid":"https://orcid.org/0000-0002-2001-7542"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lanfa Liu","raw_affiliation_strings":["Institute for Cartography, TU Dresden, 01062 Dresden, Germany"],"raw_orcid":"https://orcid.org/0000-0002-2001-7542","affiliations":[{"raw_affiliation_string":"Institute for Cartography, TU Dresden, 01062 Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119206298","display_name":"Min Ji","orcid":"https://orcid.org/0000-0002-5898-9910"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Min Ji","raw_affiliation_strings":["Institute for Cartography, TU Dresden, 01062 Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Cartography, TU Dresden, 01062 Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013701885","display_name":"Manfred F. Buchroithner","orcid":"https://orcid.org/0000-0002-6051-2249"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Manfred Buchroithner","raw_affiliation_strings":["Institute for Cartography, TU Dresden, 01062 Dresden, Germany"],"raw_orcid":"https://orcid.org/0000-0002-6051-2249","affiliations":[{"raw_affiliation_string":"Institute for Cartography, TU Dresden, 01062 Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5119206298"],"corresponding_institution_ids":["https://openalex.org/I78650965"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":316,"currency":"EUR","value_usd":340},"fwci":7.7898,"has_fulltext":true,"cited_by_count":142,"citation_normalized_percentile":{"value":0.98157274,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"18","issue":"9","first_page":"3169","last_page":"3169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9976999759674072,"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":0.9976999759674072,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9937999844551086,"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"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9919000267982483,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8565338253974915},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6699647903442383},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.625761091709137},{"id":"https://openalex.org/keywords/soil-water","display_name":"Soil water","score":0.5687428712844849},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5338574051856995},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5232069492340088},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4824848473072052},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.4175082743167877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4147328734397888},{"id":"https://openalex.org/keywords/coefficient-of-determination","display_name":"Coefficient of determination","score":0.41117435693740845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3972264528274536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23332110047340393},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18484336137771606},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15262627601623535},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13124248385429382}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8565338253974915},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6699647903442383},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.625761091709137},{"id":"https://openalex.org/C159750122","wikidata":"https://www.wikidata.org/wiki/Q96621023","display_name":"Soil water","level":2,"score":0.5687428712844849},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5338574051856995},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5232069492340088},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4824848473072052},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.4175082743167877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4147328734397888},{"id":"https://openalex.org/C128990827","wikidata":"https://www.wikidata.org/wiki/Q192830","display_name":"Coefficient of determination","level":2,"score":0.41117435693740845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3972264528274536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23332110047340393},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18484336137771606},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15262627601623535},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13124248385429382}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.3390/s18093169","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18093169","pdf_url":"https://www.mdpi.com/1424-8220/18/9/3169/pdf?version=1537428170","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:30235885","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30235885","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:c3356f13fb4a44d9b0918c1ed9884456","is_oa":true,"landing_page_url":"https://doaj.org/article/c3356f13fb4a44d9b0918c1ed9884456","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":"Sensors, Vol 18, Iss 9, p 3169 (2018)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5127240","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC6165490","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/18/9/3169/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s18093169","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":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6165490","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6165490","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:qucosa:de:qucosa:32490","is_oa":true,"landing_page_url":"https://tud.qucosa.de/id/qucosa%3A32490","pdf_url":null,"source":{"id":"https://openalex.org/S4377196312","display_name":"Qucosa (Saxon State and University Library Dresden)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I3132420320","host_organization_name":"SLUB Dresden","host_organization_lineage":["https://openalex.org/I3132420320"],"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":null,"raw_type":"doc-type:Text"}],"best_oa_location":{"id":"doi:10.3390/s18093169","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18093169","pdf_url":"https://www.mdpi.com/1424-8220/18/9/3169/pdf?version=1537428170","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321613","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320334701","display_name":"Joint Research Centre","ror":"https://ror.org/04j5wtv36"},{"id":"https://openalex.org/F4320335584","display_name":"Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ","ror":"https://ror.org/04z8jg394"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2891747104.pdf","grobid_xml":"https://content.openalex.org/works/W2891747104.grobid-xml"},"referenced_works_count":83,"referenced_works":["https://openalex.org/W180166045","https://openalex.org/W873619941","https://openalex.org/W1190219959","https://openalex.org/W1521436688","https://openalex.org/W1592341820","https://openalex.org/W1606445564","https://openalex.org/W1744548635","https://openalex.org/W1877350092","https://openalex.org/W1965548396","https://openalex.org/W1965619562","https://openalex.org/W1970431923","https://openalex.org/W1972094619","https://openalex.org/W1976779727","https://openalex.org/W1979243527","https://openalex.org/W1986938560","https://openalex.org/W1993720070","https://openalex.org/W2008833378","https://openalex.org/W2010212234","https://openalex.org/W2026469743","https://openalex.org/W2039908035","https://openalex.org/W2043359577","https://openalex.org/W2045679636","https://openalex.org/W2047222026","https://openalex.org/W2052296745","https://openalex.org/W2058311689","https://openalex.org/W2068305721","https://openalex.org/W2075140676","https://openalex.org/W2077076389","https://openalex.org/W2080545724","https://openalex.org/W2084366347","https://openalex.org/W2096804626","https://openalex.org/W2097693102","https://openalex.org/W2098676252","https://openalex.org/W2100459848","https://openalex.org/W2105172787","https://openalex.org/W2106054499","https://openalex.org/W2106112656","https://openalex.org/W2123056638","https://openalex.org/W2144400012","https://openalex.org/W2146738048","https://openalex.org/W2156056024","https://openalex.org/W2159840012","https://openalex.org/W2165993842","https://openalex.org/W2172601898","https://openalex.org/W2237118555","https://openalex.org/W2292439029","https://openalex.org/W2327661402","https://openalex.org/W2412588858","https://openalex.org/W2431738724","https://openalex.org/W2485393522","https://openalex.org/W2519034056","https://openalex.org/W2519151797","https://openalex.org/W2555930296","https://openalex.org/W2561843522","https://openalex.org/W2573524522","https://openalex.org/W2579348194","https://openalex.org/W2588000623","https://openalex.org/W2602051357","https://openalex.org/W2722683790","https://openalex.org/W2738423991","https://openalex.org/W2751694392","https://openalex.org/W2752788177","https://openalex.org/W2764034829","https://openalex.org/W2766217827","https://openalex.org/W2766359225","https://openalex.org/W2768533279","https://openalex.org/W2769747912","https://openalex.org/W2775614191","https://openalex.org/W2781542913","https://openalex.org/W2782522152","https://openalex.org/W2792329155","https://openalex.org/W2793604277","https://openalex.org/W2801397115","https://openalex.org/W2811197153","https://openalex.org/W2885739804","https://openalex.org/W2898817521","https://openalex.org/W2970807030","https://openalex.org/W3104341624","https://openalex.org/W3108380258","https://openalex.org/W6642500733","https://openalex.org/W6675665255","https://openalex.org/W6755452832","https://openalex.org/W6786592973"],"related_works":["https://openalex.org/W2659933339","https://openalex.org/W2364784002","https://openalex.org/W2755828367","https://openalex.org/W4383721055","https://openalex.org/W2909099826","https://openalex.org/W4214620440","https://openalex.org/W4309845446","https://openalex.org/W3212595790","https://openalex.org/W3194565370","https://openalex.org/W2902336595"],"abstract_inverted_index":{"Soil":[0],"spectra":[1,204],"are":[2,30],"often":[3],"measured":[4],"in":[5,199],"the":[6,21,39,46,50,54,71,112,127,156,182,188,200,224,231],"laboratory,":[7],"and":[8,52,79,125,147,219,235],"there":[9],"is":[10,68,97],"an":[11,210],"increasing":[12],"number":[13],"of":[14,65,73,137,149,158,184,212],"large-scale":[15],"soil":[16,28,77,83,225],"spectral":[17,35],"libraries":[18,29],"establishing":[19],"across":[20],"world.":[22],"However,":[23],"calibration":[24,55],"models":[25],"developed":[26],"from":[27,38,58,206],"difficult":[31],"to":[32,34,48,61,69,123],"apply":[33],"data":[36],"acquired":[37],"field":[40,196],"or":[41],"space.":[42],"Transfer":[43],"learning":[44,75],"has":[45],"potential":[47,72],"bridge":[49],"gap":[51],"make":[53],"model":[56,115,131,191,234],"transferrable":[57,168],"one":[59],"sensor":[60],"another.":[62],"The":[63,129],"objective":[64],"this":[66],"study":[67,201],"explore":[70],"transfer":[74],"for":[76,155],"spectroscopy":[78],"its":[80],"performance":[81],"on":[82,99,173,181],"clay":[84,159,185,226],"content":[85],"estimation":[86,157,183],"using":[87],"hyperspectral":[88,236],"data.":[89,237],"First,":[90],"a":[91,133,166],"one-dimensional":[92],"convolutional":[93],"neural":[94],"network":[95],"(1D-CNN)":[96],"used":[98,122],"Land":[100],"Use/Land":[101],"Cover":[102],"Area":[103],"Frame":[104],"Survey":[105],"(LUCAS)":[106],"mineral":[107],"soils.":[108],"To":[109],"evaluate":[110],"whether":[111],"pre-trained":[113,189],"1D-CNN":[114,190,233],"was":[116,170,192,228],"transferrable,":[117],"LUCAS":[118,174],"organic":[119],"soils":[120],"were":[121],"fine-tune":[124],"validate":[126],"model.":[128],"fine-tuned":[130,194,232],"achieved":[132,209],"good":[134],"accuracy":[135,211],"(coefficient":[136],"determination":[138],"(R2)":[139],"=":[140,145,153,214,217,221],"0.756,":[141],"root-mean-square":[142],"error":[143],"(RMSE)":[144],"7.07":[146],"ratio":[148],"percent":[150],"deviation":[151],"(RPD)":[152],"2.26)":[154],"content.":[160,186],"Spectral":[161],"index,":[162],"as":[163,165],"suggested":[164],"simple":[167],"feature,":[169],"also":[171],"explored":[172],"data,":[175],"but":[176],"did":[177],"not":[178],"performed":[179],"well":[180],"Then,":[187],"further":[193],"by":[195],"samples":[197],"collect":[198],"area":[202],"with":[203,230],"extracted":[205],"HyMap":[207],"imagery,":[208],"R2":[213],"0.601,":[215],"RMSE":[216],"8.62":[218],"RPD":[220],"1.54.":[222],"Finally,":[223],"map":[227],"generated":[229]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
