{"id":"https://openalex.org/W4378229441","doi":"https://doi.org/10.3390/rs15112733","title":"Confidence Intervals and Regions for Proportions under Various Three-Endmember Linear Mixture Models","display_name":"Confidence Intervals and Regions for Proportions under Various Three-Endmember Linear Mixture Models","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4378229441","doi":"https://doi.org/10.3390/rs15112733"},"language":"en","primary_location":{"id":"doi:10.3390/rs15112733","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112733","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2733/pdf?version=1684935656","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/2072-4292/15/11/2733/pdf?version=1684935656","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066228171","display_name":"Mark Berman","orcid":"https://orcid.org/0000-0003-3124-1934"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Mark Berman","raw_affiliation_strings":["CSIRO Data61, Marsfield, NSW 2122, Australia"],"affiliations":[{"raw_affiliation_string":"CSIRO Data61, Marsfield, NSW 2122, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5066228171"],"corresponding_institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.5108,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68242705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"15","issue":"11","first_page":"2733","last_page":"2733"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.9100304841995239},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7585357427597046},{"id":"https://openalex.org/keywords/thematic-mapper","display_name":"Thematic Mapper","score":0.7252630591392517},{"id":"https://openalex.org/keywords/thematic-map","display_name":"Thematic map","score":0.6497350931167603},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6308532953262329},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6062904000282288},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.5143731832504272},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.5052857995033264},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.4954484701156616},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.44143831729888916},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4100416302680969},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40743380784988403},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3528646230697632},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33252397179603577},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3220589756965637},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.2721811532974243},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19839993119239807},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.1022530198097229}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9100304841995239},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7585357427597046},{"id":"https://openalex.org/C2775938548","wikidata":"https://www.wikidata.org/wiki/Q1565182","display_name":"Thematic Mapper","level":3,"score":0.7252630591392517},{"id":"https://openalex.org/C93692415","wikidata":"https://www.wikidata.org/wiki/Q1502030","display_name":"Thematic map","level":2,"score":0.6497350931167603},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6308532953262329},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6062904000282288},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.5143731832504272},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.5052857995033264},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.4954484701156616},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.44143831729888916},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4100416302680969},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40743380784988403},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3528646230697632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33252397179603577},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3220589756965637},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.2721811532974243},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19839993119239807},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.1022530198097229},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15112733","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112733","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2733/pdf?version=1684935656","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:e5c043f71e0e465386de0ced212f4dbb","is_oa":true,"landing_page_url":"https://doaj.org/article/e5c043f71e0e465386de0ced212f4dbb","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 11, p 2733 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/11/2733/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15112733","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 15; Issue 11; Pages: 2733","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15112733","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112733","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2733/pdf?version=1684935656","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/11","display_name":"Sustainable cities and communities","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4378229441.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1933929712","https://openalex.org/W1967395374","https://openalex.org/W1972293418","https://openalex.org/W1975855611","https://openalex.org/W1981247083","https://openalex.org/W1988797124","https://openalex.org/W1991774413","https://openalex.org/W2002664198","https://openalex.org/W2016907874","https://openalex.org/W2018027183","https://openalex.org/W2026332487","https://openalex.org/W2042348866","https://openalex.org/W2049827513","https://openalex.org/W2055822950","https://openalex.org/W2060384859","https://openalex.org/W2065051496","https://openalex.org/W2069921544","https://openalex.org/W2075539328","https://openalex.org/W2085918337","https://openalex.org/W2087964169","https://openalex.org/W2095834923","https://openalex.org/W2108762284","https://openalex.org/W2131356725","https://openalex.org/W2134770540","https://openalex.org/W2143457518","https://openalex.org/W2144881411","https://openalex.org/W2149929306","https://openalex.org/W2200610005","https://openalex.org/W2328039029","https://openalex.org/W2527882685","https://openalex.org/W2578949130","https://openalex.org/W2904952091","https://openalex.org/W2907480931","https://openalex.org/W2963180193","https://openalex.org/W3099824548","https://openalex.org/W4317932540","https://openalex.org/W6757033030"],"related_works":["https://openalex.org/W2136635809","https://openalex.org/W2018409903","https://openalex.org/W2122965290","https://openalex.org/W2039688465","https://openalex.org/W2051369786","https://openalex.org/W4214827030","https://openalex.org/W2955751284","https://openalex.org/W2163622029","https://openalex.org/W2514217887","https://openalex.org/W2014539564"],"abstract_inverted_index":{"Many":[0,48],"studies":[1],"in":[2,42,108],"recent":[3],"years":[4],"have":[5],"been":[6],"devoted":[7],"to":[8,38,77,121,134,150,197,204],"estimating":[9],"the":[10,33,58,68,88,106,109,118,131,161,195,199],"per-pixel":[11],"proportions":[12,35,89],"of":[13,17,49,64,70,102,130,140,183],"three":[14],"broad":[15],"classes":[16],"materials":[18],"(e.g.,":[19],"photosynthetic":[20],"vegetation,":[21],"non-photosynthetic":[22],"vegetation":[23],"and":[24,45,82],"bare":[25],"soil)":[26],"using":[27,170],"data":[28,176],"from":[29,172],"multispectral":[30],"sensors.":[31],"Oftentimes,":[32],"estimated":[34,132,136],"are":[36,97,111,144,148,156],"used":[37],"monitor":[39],"environmental":[40],"change":[41],"both":[43,101],"urban":[44],"non-urban":[46],"environments.":[47],"these":[50,65,141],"papers":[51,66],"use":[52],"proportion":[53],"estimation":[54],"methods":[55],"based":[56],"on":[57],"linear":[59,93],"mixture":[60,94],"model.":[61],"Very":[62],"few":[63],"assess":[67],"accuracy":[69],"their":[71],"estimators.":[72],"This":[73],"paper":[74],"shows":[75],"how":[76],"produce":[78,135],"confidence":[79,84],"intervals":[80],"(CIs)":[81],"joint":[83],"regions":[85],"(JCRs)":[86],"for":[87],"associated":[90,186],"with":[91],"various":[92],"models.":[95],"There":[96,189],"two":[98,142],"main":[99],"models,":[100],"which":[103,184,198],"assume":[104],"that":[105,117],"coefficients":[107,119,133],"model":[110,115],"non-negative.":[112],"The":[113,123,166],"first":[114],"assumes":[116],"sum":[120],"1.":[122],"second":[124],"does":[125],"not,":[126],"but":[127],"uses":[128],"rescaling":[129],"proportions.":[137],"Three":[138],"variants":[139],"models":[143],"also":[145,191],"analysed.":[146],"JCRs":[147],"shown":[149],"be":[151,202],"particularly":[152],"informative,":[153],"because":[154],"they":[155],"typically":[157],"better":[158],"at":[159,177],"localising":[160],"information":[162],"than":[163],"CIs":[164],"are.":[165],"methodology":[167,200],"is":[168,190],"illustrated":[169],"examples":[171],"Landsat":[173],"Thematic":[174],"Mapper":[175],"1169":[178],"locations":[179],"across":[180],"Australia,":[181],"each":[182],"has":[185],"field":[187],"observations.":[188],"a":[192],"discussion":[193],"about":[194],"extent":[196],"can":[201],"extended":[203],"hyperspectral":[205],"data.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-02-03T23:48:18.283914","created_date":"2025-10-10T00:00:00"}
