{"id":"https://openalex.org/W3013267908","doi":"https://doi.org/10.3390/s20061795","title":"Assessing Soil Organic Matter Content in a Coal Mining Area through Spectral Variables of Different Numbers of Dimensions","display_name":"Assessing Soil Organic Matter Content in a Coal Mining Area through Spectral Variables of Different Numbers of Dimensions","publication_year":2020,"publication_date":"2020-03-24","ids":{"openalex":"https://openalex.org/W3013267908","doi":"https://doi.org/10.3390/s20061795","mag":"3013267908","pmid":"https://pubmed.ncbi.nlm.nih.gov/32213967"},"language":"en","primary_location":{"id":"doi:10.3390/s20061795","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20061795","pdf_url":"https://www.mdpi.com/1424-8220/20/6/1795/pdf?version=1585052648","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/1424-8220/20/6/1795/pdf?version=1585052648","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014811680","display_name":"Chuanmei Zhu","orcid":"https://orcid.org/0000-0002-9636-2182"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanmei Zhu","raw_affiliation_strings":["Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100722636","display_name":"Zipeng Zhang","orcid":"https://orcid.org/0000-0003-4529-8704"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zipeng Zhang","raw_affiliation_strings":["Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China","Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, College of Resources and Environment Sciences, Xinjiang University, Urumqi 830046, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, College of Resources and Environment Sciences, Xinjiang University, Urumqi 830046, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100615322","display_name":"Hongwei Wang","orcid":"https://orcid.org/0000-0002-1427-143X"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongwei Wang","raw_affiliation_strings":["Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021209111","display_name":"Jingzhe Wang","orcid":"https://orcid.org/0000-0001-8332-7997"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingzhe Wang","raw_affiliation_strings":["Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources &amp; Guangdong Key Laboratory of Urban Informatics &amp; Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources &amp; Guangdong Key Laboratory of Urban Informatics &amp; Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I211433327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022398344","display_name":"Shengtian Yang","orcid":"https://orcid.org/0000-0003-0255-0471"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengtian Yang","raw_affiliation_strings":["College of Water Sciences, Beijing Normal University, Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"College of Water Sciences, Beijing Normal University, Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100615322"],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.4563,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.78897713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"20","issue":"6","first_page":"1795","last_page":"1795"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9990000128746033,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/coefficient-of-determination","display_name":"Coefficient of determination","score":0.6785366535186768},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6446828842163086},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6342552900314331},{"id":"https://openalex.org/keywords/soil-organic-matter","display_name":"Soil organic matter","score":0.5545220375061035},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5192180275917053},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.49297261238098145},{"id":"https://openalex.org/keywords/soil-quality","display_name":"Soil quality","score":0.4701652228832245},{"id":"https://openalex.org/keywords/soil-test","display_name":"Soil test","score":0.45098739862442017},{"id":"https://openalex.org/keywords/soil-carbon","display_name":"Soil carbon","score":0.41729676723480225},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.41463056206703186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3839561939239502},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3245384693145752},{"id":"https://openalex.org/keywords/soil-water","display_name":"Soil water","score":0.3101154565811157}],"concepts":[{"id":"https://openalex.org/C128990827","wikidata":"https://www.wikidata.org/wiki/Q192830","display_name":"Coefficient of determination","level":2,"score":0.6785366535186768},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6446828842163086},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6342552900314331},{"id":"https://openalex.org/C182124840","wikidata":"https://www.wikidata.org/wiki/Q1154759","display_name":"Soil organic matter","level":3,"score":0.5545220375061035},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5192180275917053},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.49297261238098145},{"id":"https://openalex.org/C2776475172","wikidata":"https://www.wikidata.org/wiki/Q2034420","display_name":"Soil quality","level":3,"score":0.4701652228832245},{"id":"https://openalex.org/C50516716","wikidata":"https://www.wikidata.org/wiki/Q877107","display_name":"Soil test","level":3,"score":0.45098739862442017},{"id":"https://openalex.org/C39464130","wikidata":"https://www.wikidata.org/wiki/Q7554898","display_name":"Soil carbon","level":3,"score":0.41729676723480225},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.41463056206703186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3839561939239502},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3245384693145752},{"id":"https://openalex.org/C159750122","wikidata":"https://www.wikidata.org/wiki/Q96621023","display_name":"Soil water","level":2,"score":0.3101154565811157}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s20061795","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20061795","pdf_url":"https://www.mdpi.com/1424-8220/20/6/1795/pdf?version=1585052648","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:32213967","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32213967","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:a7db1aefa18e4b4bb3e34edb51e94476","is_oa":true,"landing_page_url":"https://doaj.org/article/a7db1aefa18e4b4bb3e34edb51e94476","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 20, Iss 6, p 1795 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/6/1795/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20061795","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:7146514","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7146514","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"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"}],"best_oa_location":{"id":"doi:10.3390/s20061795","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20061795","pdf_url":"https://www.mdpi.com/1424-8220/20/6/1795/pdf?version=1585052648","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":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G1395907851","display_name":null,"funder_award_id":"41861037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3588644658","display_name":null,"funder_award_id":"U1603241","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3013267908.pdf","grobid_xml":"https://content.openalex.org/works/W3013267908.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W119626103","https://openalex.org/W1973273412","https://openalex.org/W1973382063","https://openalex.org/W1973830333","https://openalex.org/W1990592505","https://openalex.org/W1998171787","https://openalex.org/W2002610435","https://openalex.org/W2008295896","https://openalex.org/W2012358846","https://openalex.org/W2025015460","https://openalex.org/W2034334268","https://openalex.org/W2037412776","https://openalex.org/W2037664503","https://openalex.org/W2052903566","https://openalex.org/W2058248435","https://openalex.org/W2072254696","https://openalex.org/W2073858026","https://openalex.org/W2080545724","https://openalex.org/W2084366347","https://openalex.org/W2085647612","https://openalex.org/W2109606373","https://openalex.org/W2156333351","https://openalex.org/W2177772562","https://openalex.org/W2267896622","https://openalex.org/W2292439029","https://openalex.org/W2343827910","https://openalex.org/W2373954140","https://openalex.org/W2537107831","https://openalex.org/W2551518784","https://openalex.org/W2603821060","https://openalex.org/W2612907974","https://openalex.org/W2754473040","https://openalex.org/W2755651270","https://openalex.org/W2762355583","https://openalex.org/W2767633373","https://openalex.org/W2767663224","https://openalex.org/W2773146783","https://openalex.org/W2802435130","https://openalex.org/W2805141116","https://openalex.org/W2883090033","https://openalex.org/W2883646491","https://openalex.org/W2894465964","https://openalex.org/W2894980471","https://openalex.org/W2898280516","https://openalex.org/W2900379892","https://openalex.org/W2901164490","https://openalex.org/W2901928690","https://openalex.org/W2905192710","https://openalex.org/W2917539806","https://openalex.org/W2920254659","https://openalex.org/W2962331302","https://openalex.org/W2962897470","https://openalex.org/W2966384631","https://openalex.org/W2985057784","https://openalex.org/W3003919802","https://openalex.org/W3004994287","https://openalex.org/W6656976664","https://openalex.org/W6821000344"],"related_works":["https://openalex.org/W2049897089","https://openalex.org/W4254420749","https://openalex.org/W2919760763","https://openalex.org/W4324056279","https://openalex.org/W4399264828","https://openalex.org/W4392624531","https://openalex.org/W4384501755","https://openalex.org/W1989508497","https://openalex.org/W303181","https://openalex.org/W3196454767"],"abstract_inverted_index":{"Soil":[0],"organic":[1],"matter":[2],"(SOM)":[3],"is":[4,36,212,249],"a":[5,22,299],"crucial":[6],"indicator":[7],"for":[8,40,135,253,298],"evaluating":[9],"soil":[10,17,67,97,300],"quality":[11],"and":[12,30,44,95,115,129,148,176,205,207,285],"an":[13],"important":[14],"component":[15,112],"of":[16,33,37,47,76,140,151,166,191,210,217,221,230],"carbon":[18],"pools,":[19],"which":[20,294],"play":[21],"vital":[23],"role":[24],"in":[25,57,266],"terrestrial":[26],"ecosystems.":[27],"Rapid,":[28],"non-destructive":[29],"accurate":[31],"monitoring":[32],"SOM":[34,59,82,265],"content":[35,83],"great":[38],"significance":[39],"the":[41,61,72,89,96,103,116,149,152,155,163,167,173,180,186,208,222,227,235,247,250,254,267,272,288],"environmental":[42],"management":[43],"ecological":[45],"restoration":[46],"mining":[48,269],"areas.":[49],"Visible-near-infrared":[50],"(Vis-NIR)":[51],"spectroscopy":[52],"has":[53],"proven":[54],"its":[55],"applicability":[56],"estimating":[58],"over":[60],"years.":[62],"In":[63],"this":[64],"study,":[65],"168":[66],"samples":[68],"were":[69,100,121,133,159,197],"collected":[70],"from":[71,179],"Zhundong":[73],"coal":[74,268],"field":[75],"Xinjiang":[77],"Province,":[78],"Northwest":[79],"China.":[80],"The":[81,138,169,219],"(g":[84],"kg<sup>-1</sup>)":[85],"was":[86],"determined":[87],"by":[88,102],"potassium":[90],"dichromate":[91],"external":[92],"heating":[93],"method":[94],"reflectance":[98],"spectra":[99],"measured":[101],"spectrometer.":[104],"Two":[105],"spectral":[106,125,231,289],"feature":[107],"extraction":[108],"strategies,":[109],"namely,":[110],"principal":[111],"analysis":[113],"(PCA)":[114],"optimal":[117,181,255,273],"band":[118,182,256,274],"combination":[119,183,257,275],"algorithm,":[120],"introduced":[122],"to":[123,154,161,259,264,280,286],"choose":[124],"variables.":[126],"Linear":[127],"models":[128,196],"random":[130],"forests":[131],"(RF)":[132],"used":[134,160],"predictive":[136,164],"models.":[137],"coefficient":[139],"determination":[141],"(<i>R</i><sup>2</sup>),":[142],"root":[143],"mean":[144],"square":[145],"error":[146],"(RMSE),":[147],"ratio":[150],"performance":[153,165,209],"interquartile":[156],"distance":[157],"(RPIQ)":[158],"evaluate":[162],"model.":[168],"results":[170],"indicated":[171],"that":[172,216,246],"variables":[174,188],"(2DI":[175],"3DI)":[177],"derived":[178],"algorithm":[184,258,276],"outperformed":[185],"PCA":[187],"(1DV)":[189],"regardless":[190],"whether":[192],"linear":[193],"or":[194,282],"RF":[195],"used.":[198],"An":[199],"inherent":[200],"gap":[201],"exists":[202],"between":[203],"2DI":[204,211,240],"3DI,":[206],"significantly":[213],"poorer":[214],"than":[215],"3DI.":[218],"accuracy":[220],"prediction":[223],"model":[224],"increases":[225],"with":[226],"increasing":[228],"number":[229],"variable":[232],"dimensions":[233],"(in":[234],"following":[236],"order:":[237],"1DV":[238],"<":[239,241],"3DI).":[242],"This":[243],"study":[244],"proves":[245],"3DI":[248],"first":[251],"choice":[252],"derive":[260],"sensitive":[261],"parameters":[262],"related":[263],"area.":[270],"Furthermore,":[271],"can":[277],"be":[278,296],"applied":[279],"hyperspectral":[281],"multispectral":[283],"images":[284],"convert":[287],"response":[290],"into":[291],"image":[292],"pixels,":[293],"may":[295],"helpful":[297],"property":[301],"spatial":[302],"distribution":[303],"map.":[304]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}