{"id":"https://openalex.org/W2895606587","doi":"https://doi.org/10.3390/rs10101581","title":"An Explorative Study on Estimating Local Accuracies in Land-Cover Information Using Logistic Regression and Class-Heterogeneity-Stratified Data","display_name":"An Explorative Study on Estimating Local Accuracies in Land-Cover Information Using Logistic Regression and Class-Heterogeneity-Stratified Data","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2895606587","doi":"https://doi.org/10.3390/rs10101581","mag":"2895606587"},"language":"en","primary_location":{"id":"doi:10.3390/rs10101581","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10101581","pdf_url":"https://www.mdpi.com/2072-4292/10/10/1581/pdf?version=1538387452","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/2072-4292/10/10/1581/pdf?version=1538387452","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073457865","display_name":"Jingxiong Zhang","orcid":"https://orcid.org/0000-0001-8036-5293"},"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":true,"raw_author_name":"Jingxiong Zhang","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China","School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["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/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":"Wenjing Yang","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036768385","display_name":"Wangle Zhang","orcid":"https://orcid.org/0000-0002-9769-4277"},"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":"Wangle Zhang","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110491535","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0003-3436-4251"},"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":"Yu Wang","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078097610","display_name":"Di Liu","orcid":"https://orcid.org/0000-0002-5002-0259"},"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":"Di Liu","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China","School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053262072","display_name":"Yingchang Xiu","orcid":null},"institutions":[{"id":"https://openalex.org/I196934937","display_name":"Liaocheng University","ror":"https://ror.org/03yh0n709","country_code":"CN","type":"education","lineage":["https://openalex.org/I196934937"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingchang Xiu","raw_affiliation_strings":["College of Agronomy, Liaocheng University, Liaocheng 252059, China"],"affiliations":[{"raw_affiliation_string":"College of Agronomy, Liaocheng University, Liaocheng 252059, China","institution_ids":["https://openalex.org/I196934937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5016603628","https://openalex.org/A5073457865"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.7763,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75068357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"10","issue":"10","first_page":"1581","last_page":"1581"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9976999759674072,"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":0.9933000206947327,"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/computer-science","display_name":"Computer science","score":0.6405328512191772},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5908241271972656},{"id":"https://openalex.org/keywords/stratified-sampling","display_name":"Stratified sampling","score":0.5872523188591003},{"id":"https://openalex.org/keywords/stratification","display_name":"Stratification (seeds)","score":0.5656856298446655},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5562453866004944},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5211679935455322},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5098975896835327},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4744609296321869},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.45274314284324646},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4481573700904846},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.44286873936653137},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4172891080379486},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3956022262573242},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36570775508880615},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3493664860725403},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.2884524166584015},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2758985757827759},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26550817489624023},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1764468252658844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6405328512191772},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5908241271972656},{"id":"https://openalex.org/C49898467","wikidata":"https://www.wikidata.org/wiki/Q1517706","display_name":"Stratified sampling","level":2,"score":0.5872523188591003},{"id":"https://openalex.org/C192943249","wikidata":"https://www.wikidata.org/wiki/Q1893382","display_name":"Stratification (seeds)","level":5,"score":0.5656856298446655},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5562453866004944},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5211679935455322},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5098975896835327},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4744609296321869},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.45274314284324646},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4481573700904846},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.44286873936653137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4172891080379486},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3956022262573242},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36570775508880615},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3493664860725403},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.2884524166584015},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2758985757827759},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26550817489624023},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1764468252658844},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C100701293","wikidata":"https://www.wikidata.org/wiki/Q193838","display_name":"Germination","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C88548481","wikidata":"https://www.wikidata.org/wiki/Q2397491","display_name":"Seed dormancy","level":4,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C3527866","wikidata":"https://www.wikidata.org/wiki/Q162267","display_name":"Dormancy","level":3,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs10101581","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10101581","pdf_url":"https://www.mdpi.com/2072-4292/10/10/1581/pdf?version=1538387452","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:982694c0713848b3ba4e0211b3bd2406","is_oa":true,"landing_page_url":"https://doaj.org/article/982694c0713848b3ba4e0211b3bd2406","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 10, Iss 10, p 1581 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/10/10/1581/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs10101581","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; Volume 10; Issue 10; Pages: 1581","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs10101581","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10101581","pdf_url":"https://www.mdpi.com/2072-4292/10/10/1581/pdf?version=1538387452","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":[{"display_name":"Life in Land","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"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/G5994120800","display_name":null,"funder_award_id":"Natural","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"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2895606587.pdf","grobid_xml":"https://content.openalex.org/works/W2895606587.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W617614292","https://openalex.org/W1537097090","https://openalex.org/W1606181590","https://openalex.org/W1964849317","https://openalex.org/W1974275316","https://openalex.org/W1981377684","https://openalex.org/W1985864794","https://openalex.org/W1989314352","https://openalex.org/W1990511816","https://openalex.org/W1990748933","https://openalex.org/W1992949796","https://openalex.org/W1995716834","https://openalex.org/W2001747857","https://openalex.org/W2003034323","https://openalex.org/W2005866031","https://openalex.org/W2006617902","https://openalex.org/W2011500029","https://openalex.org/W2012950829","https://openalex.org/W2014078207","https://openalex.org/W2042692910","https://openalex.org/W2043341201","https://openalex.org/W2059293506","https://openalex.org/W2060335617","https://openalex.org/W2067080351","https://openalex.org/W2074124346","https://openalex.org/W2081403294","https://openalex.org/W2081482096","https://openalex.org/W2089454337","https://openalex.org/W2091259694","https://openalex.org/W2096189390","https://openalex.org/W2111512695","https://openalex.org/W2114828048","https://openalex.org/W2116383038","https://openalex.org/W2118869136","https://openalex.org/W2120085530","https://openalex.org/W2122511043","https://openalex.org/W2123284266","https://openalex.org/W2125261478","https://openalex.org/W2137155271","https://openalex.org/W2144506763","https://openalex.org/W2152901131","https://openalex.org/W2161846988","https://openalex.org/W2176635760","https://openalex.org/W2199321793","https://openalex.org/W2318268925","https://openalex.org/W2326453093","https://openalex.org/W2333376289","https://openalex.org/W2432008113","https://openalex.org/W2474829489","https://openalex.org/W2498119267","https://openalex.org/W2505793812","https://openalex.org/W2513566916","https://openalex.org/W2515184067","https://openalex.org/W2539651710","https://openalex.org/W2557745879","https://openalex.org/W2580696810","https://openalex.org/W2584743460","https://openalex.org/W2584952387","https://openalex.org/W2744060687","https://openalex.org/W2751445003","https://openalex.org/W2780555403","https://openalex.org/W2794437207","https://openalex.org/W2885908041","https://openalex.org/W6674759607","https://openalex.org/W6676592569","https://openalex.org/W6677715356","https://openalex.org/W6687780495"],"related_works":["https://openalex.org/W2142706325","https://openalex.org/W2373268560","https://openalex.org/W4386554877","https://openalex.org/W4236138976","https://openalex.org/W1495904142","https://openalex.org/W3203136021","https://openalex.org/W2356880469","https://openalex.org/W2348862395","https://openalex.org/W3173424037","https://openalex.org/W4239581157"],"abstract_inverted_index":{"It":[0,294],"is":[1,40,104,129,136,301,318],"increasingly":[2],"recognized":[3],"that":[4,143,269,297],"classification":[5],"accuracy":[6,39,120,177,207,241],"should":[7],"be":[8],"characterized":[9],"locally":[10],"at":[11],"the":[12,61,133,183,195,247,298,304,333],"level":[13],"of":[14,28,101,112,121,213,231,239,278,332],"individual":[15,99],"pixels":[16],"to":[17,22,68,80,118,150,157,202,245,328],"depict":[18],"its":[19,69,322],"spatial":[20],"variability":[21],"better":[23],"inform":[24],"users":[25],"and":[26,168,179,200,237,266,329],"producers":[27],"land-cover":[29],"information":[30,180,325],"than":[31,159],"by":[32],"conventional":[33],"error-matrix-based":[34],"methods.":[35],"Local":[36],"or":[37,56],"per-pixel":[38],"usually":[41,130],"estimated":[42],"through":[43,216],"empirical":[44],"modelling,":[45,82,84],"such":[46,189],"as":[47,307],"logistic":[48,87,258],"regression,":[49],"which":[50,86],"often":[51],"proceeds":[52],"in":[53,74,85,98,106,115,124,139,186,209,250,272,302],"a":[54,57,190,217,251],"class-aggregated":[55],"class-stratified":[58,81],"way,":[59],"with":[60,211,289,309,338],"latter":[62],"being":[63],"generally":[64],"more":[65,144,155],"accurate":[66],"due":[67],"accommodation":[70],"for":[71,92,109,166,176,234,257,324],"between-class":[72],"inhomogeneity":[73,114],"accuracy-context":[75,116],"relations.":[76],"As":[77,182],"an":[78,173,285],"extension":[79],"class-heterogeneity-stratified":[83,163],"models":[88],"are":[89,147,154],"built":[90],"separately":[91],"contextually":[93],"heterogeneous":[94,151],"vs.":[95],"homogeneous":[96,160],"sub-strata":[97,152],"strata":[100],"map":[102,263],"classes,":[103,264],"proposed":[105,196,248,299,314,334],"this":[107,192],"paper":[108,193],"proper":[110],"handling":[111],"within-class":[113],"relations":[117],"increase":[119],"estimation.":[122],"Unlike":[123],"existing":[125,214,232],"literature":[126],"where":[127],"sampling":[128,140,167],"approached":[131],"separately,":[132],"double-stratification":[134,197],"method":[135,164,300,335],"also":[137],"adopted":[138],"design":[141],"so":[142],"sample":[145,203,261,311],"data":[146],"likely":[148],"allocated":[149],"(which":[153],"prone":[156],"misclassifications":[158],"ones).":[161],"This":[162],"furnished":[165],"modelling":[169],"jointly":[170],"thus":[171,319],"constitutes":[172],"integrative":[174],"framework":[175],"estimation":[178,208],"refinement.":[181,326],"first":[184],"step":[185],"building":[187],"up":[188],"framework,":[191],"investigates":[194],"method\u2019s":[198,315],"performance":[199,317],"sensitivity":[201],"size":[204],"regarding":[205],"local":[206,240],"comparison":[210],"those":[212],"methods":[215,233,280,291],"case":[218],"study":[219],"concerning":[220],"Globeland30":[221],"2010":[222],"land":[223],"cover":[224],"over":[225],"Wuhan,":[226],"China.":[227],"A":[228],"detailed":[229],"review":[230],"analyses,":[235],"estimation,":[236],"use":[238],"was":[242,295],"provided,":[243],"helping":[244],"put":[246],"research":[249,340],"broader":[252],"context.":[253],"Candidate":[254],"explanatory":[255],"variables":[256],"regression":[259],"included":[260],"pixels\u2019":[262],"positions,":[265],"contextual":[267],"features":[268],"were":[270,281,336],"computed":[271],"different-sized":[273],"moving":[274],"windows.":[275],"Relative":[276],"performances":[277],"these":[279],"evaluated":[282],"based":[283],"on":[284],"independent":[286],"reference":[287],"sample,":[288],"all":[290],"found":[292],"reliable.":[293],"confirmed":[296],"general":[303],"most":[305],"accurate,":[306],"observed":[308],"varying":[310],"sizes.":[312],"The":[313],"competitive":[316],"proved,":[320],"reinforcing":[321],"potential":[323],"Extensions":[327],"uncertainty":[330],"aspects":[331],"discussed,":[337],"further":[339],"proposed.":[341]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2018-10-12T00:00:00"}
