{"id":"https://openalex.org/W2536525838","doi":"https://doi.org/10.3390/s16111783","title":"Optimal Subset Selection of Time-Series MODIS Images and Sample Data Transfer with Random Forests for Supervised Classification Modelling","display_name":"Optimal Subset Selection of Time-Series MODIS Images and Sample Data Transfer with Random Forests for Supervised Classification Modelling","publication_year":2016,"publication_date":"2016-10-25","ids":{"openalex":"https://openalex.org/W2536525838","doi":"https://doi.org/10.3390/s16111783","mag":"2536525838","pmid":"https://pubmed.ncbi.nlm.nih.gov/27792152"},"language":"en","primary_location":{"id":"doi:10.3390/s16111783","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s16111783","pdf_url":"https://www.mdpi.com/1424-8220/16/11/1783/pdf?version=1477393189","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/16/11/1783/pdf?version=1477393189","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108726279","display_name":"Fuqun Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I1281735042","display_name":"Natural Resources Canada","ror":"https://ror.org/05hepy730","country_code":"CA","type":"government","lineage":["https://openalex.org/I1281735042","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Fuqun Zhou","raw_affiliation_strings":["Canada Centre for Remote Sensing, Natural Resources Canada, 560 Rochester Street, 6th Floor, Ottawa, ON K1A 0E4, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Canada Centre for Remote Sensing, Natural Resources Canada, 560 Rochester Street, 6th Floor, Ottawa, ON K1A 0E4, Canada","institution_ids":["https://openalex.org/I1281735042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059822687","display_name":"Aining Zhang","orcid":"https://orcid.org/0000-0002-7859-5273"},"institutions":[{"id":"https://openalex.org/I1281735042","display_name":"Natural Resources Canada","ror":"https://ror.org/05hepy730","country_code":"CA","type":"government","lineage":["https://openalex.org/I1281735042","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Aining Zhang","raw_affiliation_strings":["Canada Centre for Remote Sensing, Natural Resources Canada, 560 Rochester Street, 6th Floor, Ottawa, ON K1A 0E4, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Canada Centre for Remote Sensing, Natural Resources Canada, 560 Rochester Street, 6th Floor, Ottawa, ON K1A 0E4, Canada","institution_ids":["https://openalex.org/I1281735042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108726279"],"corresponding_institution_ids":["https://openalex.org/I1281735042"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.235,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.81910687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"16","issue":"11","first_page":"1783","last_page":"1783"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9951000213623047,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9940000176429749,"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/moderate-resolution-imaging-spectroradiometer","display_name":"Moderate-resolution imaging spectroradiometer","score":0.7372620105743408},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6843756437301636},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.571512758731842},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5593568086624146},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5483893752098083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.536782443523407},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5122262835502625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48290181159973145},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.47131046652793884},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4589451551437378},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42899924516677856},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4154312014579773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3112685978412628},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.28336870670318604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2746782600879669},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.2266184687614441},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20612689852714539},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.15933987498283386},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08759957551956177}],"concepts":[{"id":"https://openalex.org/C2777007095","wikidata":"https://www.wikidata.org/wiki/Q676840","display_name":"Moderate-resolution imaging spectroradiometer","level":3,"score":0.7372620105743408},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6843756437301636},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.571512758731842},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5593568086624146},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5483893752098083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.536782443523407},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5122262835502625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48290181159973145},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47131046652793884},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4589451551437378},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42899924516677856},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4154312014579773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3112685978412628},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.28336870670318604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2746782600879669},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.2266184687614441},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20612689852714539},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.15933987498283386},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08759957551956177},{"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s16111783","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s16111783","pdf_url":"https://www.mdpi.com/1424-8220/16/11/1783/pdf?version=1477393189","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:27792152","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27792152","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:b7eecf68467f4f1a9005fea172293c3a","is_oa":true,"landing_page_url":"https://doaj.org/article/b7eecf68467f4f1a9005fea172293c3a","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":"Sensors, Vol 16, Iss 11, p 1783 (2016)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/16/11/1783/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s16111783","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":"Sensors; Volume 16; Issue 11; Pages: 1783","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5134442","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5134442","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s16111783","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s16111783","pdf_url":"https://www.mdpi.com/1424-8220/16/11/1783/pdf?version=1477393189","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334436","display_name":"Canadian Space Agency","ror":"https://ror.org/03a1gte98"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2536525838.pdf","grobid_xml":"https://content.openalex.org/works/W2536525838.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W199541590","https://openalex.org/W1968232416","https://openalex.org/W1981435276","https://openalex.org/W1990653740","https://openalex.org/W2014555541","https://openalex.org/W2028607560","https://openalex.org/W2030165874","https://openalex.org/W2071401923","https://openalex.org/W2077202991","https://openalex.org/W2087965082","https://openalex.org/W2088941391","https://openalex.org/W2103653062","https://openalex.org/W2104985664","https://openalex.org/W2121025662","https://openalex.org/W2138433202","https://openalex.org/W2141206308","https://openalex.org/W2147055881","https://openalex.org/W2155632266","https://openalex.org/W2156842927","https://openalex.org/W2159570078","https://openalex.org/W2168341506","https://openalex.org/W2328432802","https://openalex.org/W2911964244","https://openalex.org/W6608044769","https://openalex.org/W6684897094"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2921923888","https://openalex.org/W1968232416","https://openalex.org/W2908695806","https://openalex.org/W2086038705"],"abstract_inverted_index":{"Nowadays,":[0],"various":[1],"time-series":[2,43,85,136],"Earth":[3],"Observation":[4],"data":[5,66,79,86,154],"with":[6,99,112],"multiple":[7],"bands":[8],"are":[9],"freely":[10],"available,":[11],"such":[12],"as":[13],"Moderate":[14],"Resolution":[15],"Imaging":[16],"Spectroradiometer":[17],"(MODIS)":[18],"datasets":[19,45],"including":[20],"8-day":[21],"composites":[22,27,111],"from":[23,28,156],"NASA,":[24],"and":[25,55,131,144],"10-day":[26,109],"the":[29,75,95,113,145,170,190,204],"Canada":[30],"Centre":[31],"for":[32,46,80,84,139,151,163,221],"Remote":[33],"Sensing":[34],"(CCRS).":[35],"It":[36],"is":[37,74,127,149],"challenging":[38],"to":[39,51,93,129,159,200],"efficiently":[40],"use":[41],"these":[42],"MODIS":[44,110,137],"long-term":[47],"environmental":[48],"monitoring":[49],"due":[50],"their":[52],"vast":[53],"volume":[54],"information":[56],"redundancy.":[57],"This":[58],"challenge":[59,70],"will":[60],"be":[61],"greater":[62],"when":[63],"Sentinel":[64],"2-3":[65],"become":[67],"available.":[68],"Another":[69],"that":[71,183,201],"researchers":[72],"face":[73],"lack":[76],"of":[77,103,115,135,169,173,189,213],"in-situ":[78],"supervised":[81,164,218],"modelling,":[82],"especially":[83],"analysis.":[87],"In":[88],"this":[89],"study,":[90],"we":[91,192],"attempt":[92],"tackle":[94],"two":[96],"important":[97],"issues":[98],"a":[100,179,187],"case":[101,171],"study":[102,172],"land":[104,141,175,195],"cover":[105,142,176,196],"mapping":[106],"using":[107,184,203],"CCRS":[108],"help":[114],"Random":[116],"Forests'":[117],"features:":[118],"variable":[119,124],"importance,":[120],"outlier":[121,146],"identification.":[122],"The":[123,167,207],"importance":[125],"feature":[126,148],"used":[128],"analyze":[130],"select":[132],"optimal":[133],"subsets":[134],"imagery":[138],"efficient":[140],"mapping,":[143],"identification":[147],"utilized":[150],"transferring":[152,215],"sample":[153,214,224],"available":[155],"one":[157],"year":[158,162],"an":[160],"adjacent":[161],"classification":[165,177,197],"modelling.":[166],"results":[168],"agricultural":[174],"at":[178],"regional":[180],"scale":[181],"show":[182],"only":[185],"about":[186],"half":[188],"variables":[191],"can":[193],"achieve":[194],"accuracy":[198],"close":[199],"generated":[202],"full":[205],"dataset.":[206],"proposed":[208],"simple":[209],"but":[210],"effective":[211],"solution":[212],"could":[216],"make":[217],"modelling":[219],"possible":[220],"applications":[222],"lacking":[223],"data.":[225]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}