{"id":"https://openalex.org/W2737836416","doi":"https://doi.org/10.1080/17538947.2017.1356388","title":"Winter wheat mapping using a random forest classifier combined with multi-temporal and multi-sensor data","display_name":"Winter wheat mapping using a random forest classifier combined with multi-temporal and multi-sensor data","publication_year":2017,"publication_date":"2017-07-26","ids":{"openalex":"https://openalex.org/W2737836416","doi":"https://doi.org/10.1080/17538947.2017.1356388","mag":"2737836416"},"language":"en","primary_location":{"id":"doi:10.1080/17538947.2017.1356388","is_oa":false,"landing_page_url":"https://doi.org/10.1080/17538947.2017.1356388","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5101450769","display_name":"Jiantao Liu","orcid":"https://orcid.org/0000-0001-5836-5641"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiantao Liu","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, People's Republic of China","University of Chinese Academy of Sciences, Beijing, People's Republic of China","State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, People's Republic of China; University of Chinese Academy of Sciences, Beijing, People's Republic of China"],"raw_orcid":"https://orcid.org/0000-0001-5836-5641","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, People's Republic of China; University of Chinese Academy of Sciences, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210165038","https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078340301","display_name":"Quanlong Feng","orcid":"https://orcid.org/0000-0002-0569-4131"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quanlong Feng","raw_affiliation_strings":["Beijing Piesat Information Technology Co., Ltd., Beijing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Piesat Information Technology Co., Ltd., Beijing, People's Republic of China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111792151","display_name":"Jianhua Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianhua Gong","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, People's Republic of China","University of Chinese Academy of Sciences, Beijing, People's Republic of China","Zhejiang-CAS Application Center for Geoinformatics, Jiashan, People's Republic of China","State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, People's Republic of China; University of Chinese Academy of Sciences, Beijing, People's Republic of China; Zhejiang-CAS Application Center for Geoinformatics, Jiashan, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Zhejiang-CAS Application Center for Geoinformatics, Jiashan, People's Republic of China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, People's Republic of China; University of Chinese Academy of Sciences, Beijing, People's Republic of China; Zhejiang-CAS Application Center for Geoinformatics, Jiashan, People's Republic of China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210165038","https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102223222","display_name":"Jieping Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jieping Zhou","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011531734","display_name":"Jianming Liang","orcid":"https://orcid.org/0000-0002-4043-6816"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianming Liang","raw_affiliation_strings":["School of Life Sciences, Arizona State University, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Life Sciences, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100421454","display_name":"Yi Li","orcid":"https://orcid.org/0000-0002-2092-4505"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Li","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5111792151"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053","https://openalex.org/I4210165038","https://openalex.org/I4210166112"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":null,"fwci":3.6559,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.92698875,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"11","issue":"8","first_page":"783","last_page":"802"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9879000186920166,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7798479795455933},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.5019123554229736},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49844980239868164},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.4546606242656708},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4321925640106201},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.42874976992607117},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3890402317047119},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37750592827796936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34453219175338745},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32916760444641113}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7798479795455933},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.5019123554229736},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49844980239868164},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.4546606242656708},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4321925640106201},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.42874976992607117},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3890402317047119},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37750592827796936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34453219175338745},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32916760444641113}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/17538947.2017.1356388","is_oa":false,"landing_page_url":"https://doi.org/10.1080/17538947.2017.1356388","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3fb1387c73094cb9b59a57e4fae2896f","is_oa":false,"landing_page_url":"https://doaj.org/article/3fb1387c73094cb9b59a57e4fae2896f","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":"International Journal of Digital Earth, Vol 11, Iss 8, Pp 783-802 (2018)","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G6230170133","display_name":"\u57fa\u4e8e\u5143\u80de\u81ea\u52a8\u673a\u7684\u57ce\u5e02\u6d2a\u6c34-\u4eba\u7fa4\u758f\u6563\u8026\u5408\u5efa\u6a21\u65b9\u6cd5","funder_award_id":"41471341","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7063367987","display_name":null,"funder_award_id":"10668","funder_id":"https://openalex.org/F4320309091","funder_display_name":"Center for Remote Sensing of Ice Sheets"},{"id":"https://openalex.org/G7515200537","display_name":null,"funder_award_id":"Y3SG1500CX","funder_id":"https://openalex.org/F4320308448","funder_display_name":"American Society for Photogrammetry and Remote Sensing"}],"funders":[{"id":"https://openalex.org/F4320308448","display_name":"American Society for Photogrammetry and Remote Sensing","ror":"https://ror.org/041v7ky66"},{"id":"https://openalex.org/F4320309091","display_name":"Center for Remote Sensing of Ice Sheets","ror":"https://ror.org/04t2m2598"},{"id":"https://openalex.org/F4320318240","display_name":"European Space Agency","ror":"https://ror.org/03wd9za21"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332183","display_name":"U.S. Geological Survey","ror":"https://ror.org/035a68863"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W14989562","https://openalex.org/W181107242","https://openalex.org/W1509768097","https://openalex.org/W1911093353","https://openalex.org/W1964217023","https://openalex.org/W1972280346","https://openalex.org/W1974714523","https://openalex.org/W1984667420","https://openalex.org/W1985166309","https://openalex.org/W1989649445","https://openalex.org/W1990269578","https://openalex.org/W1991861340","https://openalex.org/W1994790229","https://openalex.org/W2002987700","https://openalex.org/W2006069992","https://openalex.org/W2008183434","https://openalex.org/W2012106844","https://openalex.org/W2014555541","https://openalex.org/W2022555621","https://openalex.org/W2027559015","https://openalex.org/W2028555769","https://openalex.org/W2043490055","https://openalex.org/W2043913960","https://openalex.org/W2049315139","https://openalex.org/W2058530626","https://openalex.org/W2058723831","https://openalex.org/W2061368175","https://openalex.org/W2063907334","https://openalex.org/W2065800647","https://openalex.org/W2066416082","https://openalex.org/W2068730661","https://openalex.org/W2073106140","https://openalex.org/W2076744716","https://openalex.org/W2090151803","https://openalex.org/W2092075602","https://openalex.org/W2104896032","https://openalex.org/W2111626609","https://openalex.org/W2121885753","https://openalex.org/W2125763679","https://openalex.org/W2127038395","https://openalex.org/W2132424470","https://openalex.org/W2133941557","https://openalex.org/W2163989191","https://openalex.org/W2168481151","https://openalex.org/W2168809519","https://openalex.org/W2217048426","https://openalex.org/W2261059368","https://openalex.org/W2307094448","https://openalex.org/W2336879049","https://openalex.org/W2413804405","https://openalex.org/W2465339221","https://openalex.org/W2911964244"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W1924178503","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W4386937079","https://openalex.org/W2889302474"],"abstract_inverted_index":{"Wheat":[0],"is":[1,14],"a":[2,46,51,145,161],"major":[3],"staple":[4],"food":[5,18,21,25],"crop":[6],"in":[7,28,123],"China.":[8,29],"Accurate":[9],"and":[10,24,35,58,74,99,144,169],"cost-effective":[11],"wheat":[12,34,42,81,118,153,197],"mapping":[13,119],"exceedingly":[15],"critical":[16],"for":[17,38],"production":[19],"management,":[20],"security":[22],"warnings,":[23],"trade":[26],"policy-making":[27],"To":[30],"reduce":[31],"confusion":[32],"between":[33],"non-wheat":[36],"crops":[37],"accurate":[39,79,193],"growth":[40],"stage":[41],"mapping,":[43,82],"we":[44],"present":[45],"novel":[47],"approach":[48,90,174,190],"that":[49,130,187],"combines":[50],"random":[52],"forest":[53],"(RF)":[54],"classifier":[55],"with":[56,72,138,160,180],"multi-sensor":[57,73],"multi-temporal":[59,75],"image":[60,182],"data.":[61,116],"This":[62],"study":[63],"aims":[64],"to":[65,84],"(1)":[66],"determine":[67],"whether":[68,87],"an":[69,139],"RF":[70],"combined":[71],"imagery":[76],"can":[77,91,134,191],"achieve":[78,135],"winter":[80,109,152,196],"(2)":[83],"find":[85],"out":[86],"the":[88,96,102,131,172,188],"proposed":[89,132,173,189],"provide":[92,192],"improved":[93],"performance":[94],"over":[95],"traditional":[97],"classifiers,":[98],"(3)":[100],"examine":[101],"feasibility":[103,170],"of":[104,108,142,149,164,171,195],"deriving":[105],"reliable":[106],"estimates":[107],"wheat-growing":[110],"areas":[111],"from":[112],"medium-resolution":[113],"remotely":[114],"sensed":[115],"Winter":[117],"experiments":[120],"were":[121],"conducted":[122],"Boxing":[124],"County.":[125],"The":[126,151,167],"experimental":[127],"results":[128],"suggest":[129],"method":[133],"good":[136],"performance,":[137],"overall":[140],"accuracy":[141],"92.9%":[143],"kappa":[146],"coefficient":[147],"(\u03ba)":[148],"0.858.":[150],"acreage":[154],"was":[155],"estimated":[156],"at":[157],"33,895.71":[158],"ha":[159],"relative":[162],"error":[163],"only":[165],"9.3%.":[166],"effectiveness":[168],"has":[175],"been":[176],"evaluated":[177],"through":[178],"comparison":[179],"other":[181],"classification":[183],"methods.":[184],"We":[185],"conclude":[186],"delineation":[194],"areas.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
