{"id":"https://openalex.org/W3086784046","doi":"https://doi.org/10.3390/rs12182954","title":"Refining Land-Cover Maps Based on Probabilistic Re-Classification in CCA Ordination Space","display_name":"Refining Land-Cover Maps Based on Probabilistic Re-Classification in CCA Ordination Space","publication_year":2020,"publication_date":"2020-09-11","ids":{"openalex":"https://openalex.org/W3086784046","doi":"https://doi.org/10.3390/rs12182954","mag":"3086784046"},"language":"en","primary_location":{"id":"doi:10.3390/rs12182954","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12182954","pdf_url":"https://www.mdpi.com/2072-4292/12/18/2954/pdf?version=1600100131","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/12/18/2954/pdf?version=1600100131","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101406457","display_name":"Yue Wan","orcid":"https://orcid.org/0009-0006-5333-3871"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wan","raw_affiliation_strings":["School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073457865","display_name":"Jingxiong Zhang","orcid":"https://orcid.org/0000-0001-8036-5293"},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingxiong Zhang","raw_affiliation_strings":["School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016603628","display_name":"Wenjing Yang","orcid":"https://orcid.org/0000-0002-6997-0406"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Yang","raw_affiliation_strings":["College of Geography and Environment, Shandong Normal University, Jinan 250358, China"],"affiliations":[{"raw_affiliation_string":"College of Geography and Environment, Shandong Normal University, Jinan 250358, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112114877","display_name":"Yunwei Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunwei Tang","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 South Road, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 South Road, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073457865"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.1601,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56223199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":"18","first_page":"2954","last_page":"2954"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9976000189781189,"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":0.9976000189781189,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/land-cover","display_name":"Land cover","score":0.6643080711364746},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6214994192123413},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5901085734367371},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5723920464515686},{"id":"https://openalex.org/keywords/ordination","display_name":"Ordination","score":0.5574142932891846},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4946422278881073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49003326892852783},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4667017459869385},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4355505108833313},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.2704109847545624},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1741677224636078}],"concepts":[{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6643080711364746},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6214994192123413},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5901085734367371},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5723920464515686},{"id":"https://openalex.org/C175570560","wikidata":"https://www.wikidata.org/wiki/Q2029312","display_name":"Ordination","level":2,"score":0.5574142932891846},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4946422278881073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49003326892852783},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4667017459869385},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4355505108833313},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.2704109847545624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1741677224636078},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12182954","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12182954","pdf_url":"https://www.mdpi.com/2072-4292/12/18/2954/pdf?version=1600100131","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a1e589888b03473e96a134e21a1de653","is_oa":true,"landing_page_url":"https://doaj.org/article/a1e589888b03473e96a134e21a1de653","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":"Remote Sensing, Vol 12, Iss 18, p 2954 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/18/2954/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12182954","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":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12182954","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12182954","pdf_url":"https://www.mdpi.com/2072-4292/12/18/2954/pdf?version=1600100131","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.699999988079071,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7181329206","display_name":null,"funder_award_id":"41471375","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310094","display_name":"University of Washington","ror":"https://ror.org/00cvxb145"},{"id":"https://openalex.org/F4320311401","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60"},{"id":"https://openalex.org/F4320320332","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90"},{"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/W3086784046.pdf","grobid_xml":"https://content.openalex.org/works/W3086784046.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W1254560965","https://openalex.org/W1584308190","https://openalex.org/W1665877257","https://openalex.org/W1938682326","https://openalex.org/W1965173367","https://openalex.org/W1967575690","https://openalex.org/W1978351656","https://openalex.org/W1986806303","https://openalex.org/W1995716834","https://openalex.org/W1997859853","https://openalex.org/W1998298224","https://openalex.org/W2001747857","https://openalex.org/W2005866031","https://openalex.org/W2006929658","https://openalex.org/W2011500029","https://openalex.org/W2014078207","https://openalex.org/W2036367059","https://openalex.org/W2042692910","https://openalex.org/W2050919167","https://openalex.org/W2054296973","https://openalex.org/W2057820360","https://openalex.org/W2059373134","https://openalex.org/W2060335617","https://openalex.org/W2065816667","https://openalex.org/W2083518641","https://openalex.org/W2083568166","https://openalex.org/W2091258541","https://openalex.org/W2105841516","https://openalex.org/W2115732295","https://openalex.org/W2121795775","https://openalex.org/W2131472136","https://openalex.org/W2136628387","https://openalex.org/W2144506763","https://openalex.org/W2144819008","https://openalex.org/W2156127902","https://openalex.org/W2161992104","https://openalex.org/W2167518054","https://openalex.org/W2175200523","https://openalex.org/W2244457783","https://openalex.org/W2318268925","https://openalex.org/W2326453093","https://openalex.org/W2419087408","https://openalex.org/W2511832075","https://openalex.org/W2557745879","https://openalex.org/W2580696810","https://openalex.org/W2581706360","https://openalex.org/W2584952387","https://openalex.org/W2763039255","https://openalex.org/W2763734094","https://openalex.org/W2780555403","https://openalex.org/W2790945232","https://openalex.org/W2810789567","https://openalex.org/W2885908041","https://openalex.org/W2891721681","https://openalex.org/W2895606587","https://openalex.org/W2897121675","https://openalex.org/W2897344053","https://openalex.org/W2905252428","https://openalex.org/W2910046262","https://openalex.org/W2914118367","https://openalex.org/W2953011380","https://openalex.org/W2972750635","https://openalex.org/W2977808141","https://openalex.org/W3034892684","https://openalex.org/W4249726854","https://openalex.org/W6628065871","https://openalex.org/W6677155404","https://openalex.org/W6768190841"],"related_works":["https://openalex.org/W4285046547","https://openalex.org/W4251916484","https://openalex.org/W2007458775","https://openalex.org/W2366862245","https://openalex.org/W94665575","https://openalex.org/W2971483510","https://openalex.org/W4244139590","https://openalex.org/W2299758783","https://openalex.org/W2018456895","https://openalex.org/W2088899772"],"abstract_inverted_index":{"Due":[0],"to":[1,51,60,95,100,254,285],"spatial":[2,155],"inhomogeneity":[3],"of":[4,38,90,104,160,179,206,215,226,295,321,354,366,371],"land-cover":[5,12,124],"types":[6,227],"and":[7,66,81,153,171,212,220,229,281,307,324,343,378,387,390],"spectral":[8],"confusions":[9],"among":[10],"them,":[11],"maps":[13,50,59],"suffer":[14],"from":[15,176],"misclassification":[16],"errors.":[17],"While":[18],"much":[19],"research":[20],"has":[21],"focused":[22],"on":[23,47,164,202,352],"improving":[24],"image":[25],"classification":[26,219],"by":[27,64,116,150],"re-processing":[28,48],"source":[29],"images":[30,37],"with":[31,335],"more":[32,240],"advanced":[33],"algorithms":[34],"and/or":[35],"using":[36,122,132,209,312],"finer":[39],"resolution,":[40],"there":[41],"is":[42,239,358],"rarely":[43],"any":[44],"systematic":[45],"work":[46],"existing":[49,58,367],"increase":[52],"their":[53,154,392],"accuracy.":[54],"We":[55],"propose":[56],"refining":[57],"achieve":[61],"accuracy":[62,139,256,263,274,305,330,365],"gains":[63,264,275,331,337,345],"exploring":[65],"utilizing":[67],"relationships":[68,383],"between":[69,217,384],"reference":[70,133,218,372,385],"data,":[71,373],"which":[72,317],"are":[73,283,326,332],"often":[74],"already":[75],"available":[76],"or":[77],"can":[78],"be":[79],"collected,":[80],"map":[82,105,117,151,221,356,376,388],"data.":[83],"For":[84],"this,":[85],"we":[86],"make":[87],"novel":[88],"use":[89],"canonical":[91],"correspondence":[92],"analysis":[93],"(CCA)":[94],"analyze":[96],"reference-map":[97],"class":[98,118],"co-occurrences":[99],"facilitate":[101],"probabilistic":[102],"re-classification":[103],"classes":[106,152,280],"in":[107,141,224,245,266,276,302,316,328,338,346],"CCA":[108],"ordination":[109],"space,":[110],"a":[111,177,193,203,210,291,299,313],"synthesized":[112],"feature":[113],"space":[114],"constrained":[115],"occurrence":[119],"patterns.":[120],"Experiments":[121],"GlobeLand30":[123],"(2010)":[125],"over":[126],"Wuhan,":[127],"China":[128],"were":[129,148,174],"carried":[130],"out":[131],"sample":[134,146,162,181,205,249,294],"data":[135,147,386,389],"collected":[136],"previously":[137],"for":[138,196],"assessment":[140],"the":[142,236],"same":[143],"area.":[144],"Reference":[145],"stratified":[149],"heterogeneity.":[156],"To":[157],"examine":[158],"effects":[159],"model-training":[161],"size":[163],"refinements,":[165,290],"three":[166],"subset":[167],"samples":[168],"(360,":[169],"720,":[170],"1480":[172],"pixels)":[173],"selected":[175],"pool":[178],"3000":[180],"pixels":[182,208,297],"(the":[183],"full":[184],"training":[185],"sample).":[186],"Logistic":[187],"regression":[188,244],"modeling":[189],"was":[190,200,233,270],"employed":[191],"as":[192,362],"baseline":[194],"method":[195,238],"comparisons.":[197],"Performance":[198],"evaluation":[199],"based":[201],"test":[204],"1020":[207],"strict":[211],"relaxed":[213],"definitions":[214],"agreement":[216],"classification,":[222],"resulting":[223],"measures":[225],"I":[228],"II,":[230],"respectively.":[231],"It":[232,269],"found":[234],"that":[235,273],"CCA-based":[237,289],"accurate":[241],"than":[242,265],"logistic":[243],"general.":[246],"With":[247],"increasing":[248],"sizes,":[250],"refinements":[251],"generally":[252],"lead":[253],"greater":[255,262],"gains.":[257],"Heterogeneous":[258],"sub-strata":[259],"usually":[260],"see":[261],"homogeneous":[267],"sub-strata.":[268],"also":[271],"revealed":[272],"specific":[277],"strata":[278,286,320],"(map":[279],"sub-strata)":[282],"related":[284],"refinability.":[287],"Regarding":[288],"relatively":[292],"small":[293],"360":[296],"achieved":[298],"3%":[300],"gain":[301],"both":[303],"overall":[304],"(OA)":[306],"F0.01":[308,347],"score":[309],"(II).":[310,349],"By":[311],"selective":[314],"strategy":[315],"only":[318],"refinable":[319],"cultivated":[322],"land":[323],"forest":[325],"included":[327],"refinement,":[329],"further":[333],"increased,":[334],"5\u201311%":[336],"users\u2019":[339],"accuracies":[340],"(UAs)":[341],"(II)":[342],"4\u201310%":[344],"scores":[348],"In":[350],"conclusion,":[351],"condition":[353],"refinability,":[355],"refinement":[357],"well":[359],"worth":[360],"pursuing,":[361],"it":[363],"increases":[364],"maps,":[368],"extends":[369],"utility":[370],"facilitates":[374],"uncertainty-informed":[375],"representation,":[377],"enhances":[379],"our":[380],"understanding":[381],"about":[382,391],"synthesis.":[393]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}