{"id":"https://openalex.org/W2791669102","doi":"https://doi.org/10.3390/rs10030487","title":"Using a Similarity Matrix Approach to Evaluate the Accuracy of Rescaled Maps","display_name":"Using a Similarity Matrix Approach to Evaluate the Accuracy of Rescaled Maps","publication_year":2018,"publication_date":"2018-03-20","ids":{"openalex":"https://openalex.org/W2791669102","doi":"https://doi.org/10.3390/rs10030487","mag":"2791669102"},"language":"en","primary_location":{"id":"doi:10.3390/rs10030487","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10030487","pdf_url":"https://www.mdpi.com/2072-4292/10/3/487/pdf?version=1525344531","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/2072-4292/10/3/487/pdf?version=1525344531","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077434208","display_name":"Peijun Sun","orcid":"https://orcid.org/0000-0002-7380-2384"},"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"]},{"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":true,"raw_author_name":"Peijun Sun","raw_affiliation_strings":["Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100875, China"],"raw_orcid":"https://orcid.org/0000-0002-7380-2384","affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941","https://openalex.org/I4210128053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022247838","display_name":"Russell G. Congalton","orcid":"https://orcid.org/0000-0003-3891-2163"},"institutions":[{"id":"https://openalex.org/I161057412","display_name":"University of New Hampshire","ror":"https://ror.org/01rmh9n78","country_code":"US","type":"education","lineage":["https://openalex.org/I161057412"]},{"id":"https://openalex.org/I4210135981","display_name":"Louisiana Department of Natural Resources","ror":"https://ror.org/03n7hja66","country_code":"US","type":"government","lineage":["https://openalex.org/I4210135981"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Russell Congalton","raw_affiliation_strings":["Department of Natural Resources & the Environment, University of New Hampshire, Durham, NH 03824, USA"],"raw_orcid":"https://orcid.org/0000-0003-3891-2163","affiliations":[{"raw_affiliation_string":"Department of Natural Resources & the Environment, University of New Hampshire, Durham, NH 03824, USA","institution_ids":["https://openalex.org/I161057412","https://openalex.org/I4210135981"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077434208"],"corresponding_institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210128053","https://openalex.org/I4210166112"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.4386,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64401283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"10","issue":"3","first_page":"487","last_page":"487"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9987999796867371,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9955000281333923,"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9916999936103821,"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/similarity","display_name":"Similarity (geometry)","score":0.6714036464691162},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5432679653167725},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5133715867996216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4614082872867584},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.43516698479652405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3486939072608948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23479709029197693},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.22486278414726257},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15509608387947083}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6714036464691162},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5432679653167725},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5133715867996216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4614082872867584},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.43516698479652405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3486939072608948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23479709029197693},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.22486278414726257},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15509608387947083},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs10030487","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10030487","pdf_url":"https://www.mdpi.com/2072-4292/10/3/487/pdf?version=1525344531","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:31adf772d53d4bd9ac6094dfa60853d9","is_oa":true,"landing_page_url":"https://doaj.org/article/31adf772d53d4bd9ac6094dfa60853d9","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":"Remote Sensing, Vol 10, Iss 3, p 487 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/10/3/487/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs10030487","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"},{"id":"pmh:oai:scholars.unh.edu:faculty_pubs-2297","is_oa":true,"landing_page_url":"https://www.mdpi.com/2072-4292/10/3/487","pdf_url":null,"source":{"id":"https://openalex.org/S4377196362","display_name":"University of New Hampshire Scholars Repository (University of New Hampshire at Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I179093154","host_organization_name":"University of New Hampshire at Manchester","host_organization_lineage":["https://openalex.org/I179093154"],"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":"Faculty Publications","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3390/rs10030487","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10030487","pdf_url":"https://www.mdpi.com/2072-4292/10/3/487/pdf?version=1525344531","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":[{"score":0.4300000071525574,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G299962460","display_name":null,"funder_award_id":"#NH00077-M (Accession #1002519)","funder_id":"https://openalex.org/F4320338006","funder_display_name":"New Hampshire Agricultural Experiment Station"}],"funders":[{"id":"https://openalex.org/F4320306114","display_name":"U.S. Department of Agriculture","ror":"https://ror.org/01na82s61"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320332299","display_name":"National Institute of Food and Agriculture","ror":"https://ror.org/05qx3fv49"},{"id":"https://openalex.org/F4320332662","display_name":"Department of Natural Resources and the Environment, University of New Hampshire","ror":"https://ror.org/01rmh9n78"},{"id":"https://openalex.org/F4320332785","display_name":"National Agricultural Statistics Service","ror":"https://ror.org/04dpymk59"},{"id":"https://openalex.org/F4320338006","display_name":"New Hampshire Agricultural Experiment Station","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2791669102.pdf","grobid_xml":"https://content.openalex.org/works/W2791669102.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1980444344","https://openalex.org/W1997604133","https://openalex.org/W2008085934","https://openalex.org/W2011868515","https://openalex.org/W2013360540","https://openalex.org/W2021899548","https://openalex.org/W2040998916","https://openalex.org/W2043157867","https://openalex.org/W2080504767","https://openalex.org/W2082818192","https://openalex.org/W2091376808","https://openalex.org/W2102011204","https://openalex.org/W2130621597","https://openalex.org/W2142534795","https://openalex.org/W2148899516","https://openalex.org/W2150776669","https://openalex.org/W2157144502","https://openalex.org/W2157278886","https://openalex.org/W2185301601","https://openalex.org/W2256456552","https://openalex.org/W2278645403","https://openalex.org/W2510994359","https://openalex.org/W2567939211","https://openalex.org/W2568420287","https://openalex.org/W2584444164","https://openalex.org/W2606034233","https://openalex.org/W2730238284","https://openalex.org/W2753474338","https://openalex.org/W2802670811","https://openalex.org/W4236354984","https://openalex.org/W4285719527","https://openalex.org/W6683293562","https://openalex.org/W6686103558","https://openalex.org/W7018294876"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2962838298","https://openalex.org/W2600246793"],"abstract_inverted_index":{"Rescaled":[0],"maps":[1,31,78,91,180,194,202,238],"have":[2],"been":[3,34,126],"extensively":[4],"utilized":[5,210],"to":[6,27,46,60,74,79,120,231,249,282,293,311,321],"provide":[7,223,240],"data":[8,326],"at":[9,111,137,189,203],"the":[10,62,76,148,157,172,183,198,212,224,228,233,236,250,262,266,285,298,304,307,312],"appropriate":[11],"spatial":[12],"resolution":[13,88,113,117,269],"for":[14,99,197,211,284,319],"use":[15,283,324],"in":[16,327],"various":[17],"Earth":[18,328],"science":[19,329],"models.":[20,330],"However,":[21],"a":[22,38,43,107,115,121,218,272],"simple":[23],"and":[24,56,161,200,206,243,265,301],"easy":[25],"way":[26],"evaluate":[28,61],"these":[29,131,325],"rescaled":[30,63,119,299,308],"has":[32,124],"not":[33,125],"developed.":[35],"We":[36],"propose":[37],"similarity":[39,51,219,273],"matrix":[40,220,274],"approach":[41],"using":[42,271],"contingency":[44],"table":[45],"compute":[47],"three":[48,138],"measures:":[49],"overall":[50],"(OS),":[52],"omission":[53],"error":[54,58],"(OE),":[55],"commission":[57],"(CE)":[59],"maps.":[64,253],"The":[65,101,214],"Majority":[66],"Rule":[67],"Based":[68],"aggregation":[69],"(MRB)":[70],"method":[71],"was":[72],"employed":[73],"produce":[75],"upscaled":[77,237,263],"demonstrate":[80],"this":[81],"approach.":[82],"In":[83],"addition,":[84],"previously":[85],"created,":[86],"coarser":[87,252,268],"land":[89,314],"cover":[90,315],"from":[92,182],"other":[93],"research":[94],"projects":[95],"were":[96,195,209],"also":[97],"available":[98],"comparison.":[100,213],"question":[102],"of":[103,261,297,303,306],"which":[104,280],"is":[105,317],"better,":[106],"map":[108,118,225,264,270,300,309,316],"initially":[109],"produced":[110],"coarse":[112,122],"or":[114],"fine":[116],"resolution,":[123],"quantitatively":[127],"investigated.":[128],"To":[129],"address":[130],"issues,":[132],"we":[133,143,152,163,255],"selected":[134,144,153,164,174],"study":[135,177],"sites":[136],"different":[139],"extent":[140],"levels.":[141],"First,":[142],"twelve":[145],"regions":[146],"covering":[147],"continental":[149,159],"USA,":[150],"then":[151],"nine":[154,165,173],"states":[155],"(from":[156,170],"whole":[158],"USA),":[160],"finally":[162],"Agriculture":[166],"Statistical":[167],"Districts":[168],"(ASDs)":[169],"within":[171],"states)":[175],"as":[176,192],"sites.":[178],"Crop/non-crop":[179],"derived":[181],"USDA":[184],"Crop":[185],"Data":[186],"Layer":[187],"(CDL)":[188],"30":[190],"m":[191,205],"base":[193],"used":[196],"upscaling":[199],"existing":[201,251,267,313],"250":[204],"1":[207],"km":[208],"results":[215],"showed":[216],"that":[217,258],"can":[221,239],"effectively":[222,323],"user":[226],"with":[227],"information":[229],"needed":[230],"assess":[232],"rescaling.":[234],"Additionally,":[235],"higher":[241],"accuracy":[242],"better":[244],"represent":[245],"landscape":[246],"pattern":[247],"compared":[248,310],"Therefore,":[254],"strongly":[256],"recommend":[257],"an":[259,295],"evaluation":[260,296],"should":[275],"be":[276],"conducted":[277],"before":[278],"deciding":[279],"dataset":[281],"modelling.":[286],"Overall,":[287],"extending":[288],"our":[289],"understanding":[290],"on":[291],"how":[292],"perform":[294],"investigation":[302],"applicability":[305],"necessary":[318],"users":[320],"most":[322]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
