{"id":"https://openalex.org/W2188750171","doi":"https://doi.org/10.3390/rs71215817","title":"Evaluation of Sampling Methods for Validation of Remotely Sensed Fractional Vegetation Cover","display_name":"Evaluation of Sampling Methods for Validation of Remotely Sensed Fractional Vegetation Cover","publication_year":2015,"publication_date":"2015-12-02","ids":{"openalex":"https://openalex.org/W2188750171","doi":"https://doi.org/10.3390/rs71215817","mag":"2188750171"},"language":"en","primary_location":{"id":"doi:10.3390/rs71215817","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs71215817","pdf_url":"https://www.mdpi.com/2072-4292/7/12/15817/pdf?version=1449477104","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/2072-4292/7/12/15817/pdf?version=1449477104","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082646129","display_name":"Xihan Mu","orcid":"https://orcid.org/0000-0003-4812-3045"},"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/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":false,"raw_author_name":"Xihan Mu","raw_affiliation_strings":["The State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Maogui Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141657","display_name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application","ror":"https://ror.org/045yewh40","country_code":"CN","type":"facility","lineage":["https://openalex.org/I152031979","https://openalex.org/I4210141657"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Maogui Hu","raw_affiliation_strings":["Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China","The State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, A11, Datun road, Beijing 100101 China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China","institution_ids":["https://openalex.org/I4210141657"]},{"raw_affiliation_string":"The State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, A11, Datun road, Beijing 100101 China","institution_ids":["https://openalex.org/I4210160793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040574628","display_name":"Wanjuan Song","orcid":"https://orcid.org/0000-0003-3321-1499"},"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/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":false,"raw_author_name":"Wanjuan Song","raw_affiliation_strings":["The State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110674154","display_name":"Gaiyan Ruan","orcid":null},"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/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":false,"raw_author_name":"Gaiyan Ruan","raw_affiliation_strings":["The State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027113543","display_name":"Yong Ge","orcid":"https://orcid.org/0000-0002-5175-5812"},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Ge","raw_affiliation_strings":["The State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, A11, Datun road, Beijing 100101 China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, A11, Datun road, Beijing 100101 China","institution_ids":["https://openalex.org/I4210160793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100344683","display_name":"Jinfeng Wang","orcid":"https://orcid.org/0000-0002-6687-9420"},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfeng Wang","raw_affiliation_strings":["The State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, A11, Datun road, Beijing 100101 China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, A11, Datun road, Beijing 100101 China","institution_ids":["https://openalex.org/I4210160793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103590653","display_name":"Shuai Huang","orcid":null},"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/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":false,"raw_author_name":"Shuai Huang","raw_affiliation_strings":["The State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107597668","display_name":"Guangjian Yan","orcid":"https://orcid.org/0000-0001-5030-748X"},"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/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":false,"raw_author_name":"Guangjian Yan","raw_affiliation_strings":["The State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210141657","https://openalex.org/I4210160793"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.437,"has_fulltext":true,"cited_by_count":56,"citation_normalized_percentile":{"value":0.9169398,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":"12","first_page":"16164","last_page":"16182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9994999766349792,"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":0.9994999766349792,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9976000189781189,"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9901999831199646,"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/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.6878630518913269},{"id":"https://openalex.org/keywords/homogeneity","display_name":"Homogeneity (statistics)","score":0.6737195253372192},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6310886740684509},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.605525016784668},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5877071619033813},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5369593501091003},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.5198422074317932},{"id":"https://openalex.org/keywords/vegetation-cover","display_name":"Vegetation cover","score":0.500901460647583},{"id":"https://openalex.org/keywords/physical-geography","display_name":"Physical geography","score":0.4439474046230316},{"id":"https://openalex.org/keywords/plant-cover","display_name":"Plant cover","score":0.43513721227645874},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29066145420074463},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21646103262901306},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.2163105010986328},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1521603763103485},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.1403193473815918},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12792706489562988},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.11537045240402222},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.1037006676197052},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.09021246433258057}],"concepts":[{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.6878630518913269},{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.6737195253372192},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6310886740684509},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.605525016784668},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5877071619033813},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5369593501091003},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.5198422074317932},{"id":"https://openalex.org/C2983732647","wikidata":"https://www.wikidata.org/wiki/Q187997","display_name":"Vegetation cover","level":3,"score":0.500901460647583},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.4439474046230316},{"id":"https://openalex.org/C201401522","wikidata":"https://www.wikidata.org/wiki/Q7201505","display_name":"Plant cover","level":3,"score":0.43513721227645874},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29066145420074463},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21646103262901306},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.2163105010986328},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1521603763103485},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1403193473815918},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12792706489562988},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.11537045240402222},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.1037006676197052},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.09021246433258057},{"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"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/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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/rs71215817","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs71215817","pdf_url":"https://www.mdpi.com/2072-4292/7/12/15817/pdf?version=1449477104","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:dac11e141500478baee5c8cb72b4c8f7","is_oa":true,"landing_page_url":"https://doaj.org/article/dac11e141500478baee5c8cb72b4c8f7","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 7, Iss 12, Pp 16164-16182 (2015)","raw_type":"article"},{"id":"pmh:oai:ir.igsnrr.ac.cn:311030/43556","is_oa":true,"landing_page_url":"http://ir.igsnrr.ac.cn/handle/311030/43556","pdf_url":null,"source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mu X. H.,Hu, M. G.,Song, W. J.,et al. Evaluation of Sampling Methods for Validation of Remotely Sensed Fractional Vegetation Cover. 2015.","raw_type":"SCI/SSCI\u8bba\u6587"},{"id":"pmh:oai:mdpi.com:/2072-4292/7/12/15817/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs71215817","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 7; Issue 12; Pages: 16164-16182","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/2072-4292/7/12/16164/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/rs71215817","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/rs71215817","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs71215817","pdf_url":"https://www.mdpi.com/2072-4292/7/12/15817/pdf?version=1449477104","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":0.7799999713897705,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G1025605902","display_name":null,"funder_award_id":"91125004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1828425977","display_name":null,"funder_award_id":"973 Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G316194696","display_name":null,"funder_award_id":"2013CB733402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3658301272","display_name":null,"funder_award_id":"41331171","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4157386456","display_name":null,"funder_award_id":"2013CB733402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4544462699","display_name":null,"funder_award_id":"2012AA12A305","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6051178840","display_name":null,"funder_award_id":"41301425","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6194230105","display_name":null,"funder_award_id":"2013CB","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7129907147","display_name":null,"funder_award_id":"(973 Program","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8208342437","display_name":null,"funder_award_id":"1 and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G82534181","display_name":null,"funder_award_id":"2012AA12A305","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320312274","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320321432","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35"},{"id":"https://openalex.org/F4320321575","display_name":"Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences","ror":"https://ror.org/01jz1e142"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2188750171.pdf","grobid_xml":"https://content.openalex.org/works/W2188750171.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W592995438","https://openalex.org/W1594422304","https://openalex.org/W1830025886","https://openalex.org/W1964615151","https://openalex.org/W1965722003","https://openalex.org/W1969000410","https://openalex.org/W1969801270","https://openalex.org/W1973749534","https://openalex.org/W1983975180","https://openalex.org/W1993703763","https://openalex.org/W1997837167","https://openalex.org/W2008547125","https://openalex.org/W2012673788","https://openalex.org/W2021302122","https://openalex.org/W2025039816","https://openalex.org/W2032571483","https://openalex.org/W2034261862","https://openalex.org/W2068492232","https://openalex.org/W2073201099","https://openalex.org/W2074038916","https://openalex.org/W2084829975","https://openalex.org/W2097110832","https://openalex.org/W2103886906","https://openalex.org/W2112261846","https://openalex.org/W2114088565","https://openalex.org/W2116569388","https://openalex.org/W2120356636","https://openalex.org/W2125763679","https://openalex.org/W2128228580","https://openalex.org/W2129016866","https://openalex.org/W2136408258","https://openalex.org/W2143022286","https://openalex.org/W2143100005","https://openalex.org/W2144752086","https://openalex.org/W2150863424","https://openalex.org/W2240519691","https://openalex.org/W2293874811","https://openalex.org/W2491899010","https://openalex.org/W2498628756","https://openalex.org/W4211131047","https://openalex.org/W4285719527","https://openalex.org/W4388311003"],"related_works":["https://openalex.org/W2021379394","https://openalex.org/W2368915900","https://openalex.org/W2385922464","https://openalex.org/W2357195633","https://openalex.org/W2568779994","https://openalex.org/W2399356217","https://openalex.org/W4396668917","https://openalex.org/W4389339194","https://openalex.org/W2793544772","https://openalex.org/W2379529243"],"abstract_inverted_index":{"Validation":[0],"over":[1,118],"heterogeneous":[2],"areas":[3],"is":[4,198,231,246],"critical":[5],"to":[6,22,129,208,248],"ensuring":[7],"the":[8,18,24,32,37,51,61,94,107,131,146,150,161,169,176,180,185,203,209,217,223,239,254],"quality":[9],"of":[10,39,55,63,84,96,122,155,168,184,205,211,238,253],"remote":[11],"sensing":[12],"products.":[13],"This":[14],"paper":[15],"focuses":[16],"on":[17],"sampling":[19,58,72,102,135,170],"methods":[20,73,103,171],"used":[21],"validate":[23],"coarse-resolution":[25],"fractional":[26,86],"vegetation":[27,87,111,123],"cover":[28,46,88,116],"(FVC)":[29],"product":[30],"in":[31,42,50,80,133,160,175,179,202],"Heihe":[33],"River":[34],"Basin,":[35],"where":[36],"patterns":[38],"spatial":[40],"variations":[41,174],"and":[43,69,98,114,139,194,228],"between":[44,196,226],"land":[45,115],"types":[47],"vary":[48],"significantly":[49],"different":[52,181],"growth":[53],"stages":[54,183],"vegetation.":[56,186],"A":[57,82],"method,":[59,68,189],"called":[60],"mean":[62],"surface":[64],"with":[65,76,173,251],"non-homogeneity":[66,178],"(MSN)":[67],"three":[70],"other":[71],"are":[74],"examined":[75],"real-world":[77],"data":[78],"obtained":[79],"2012.":[81],"series":[83],"15-m-resolution":[85,108],"reference":[89],"maps":[90,117],"were":[91,104,127,137],"generated":[92],"using":[93,106,149,242],"regressions":[95],"field-measured":[97],"satellite":[99],"data.":[100],"The":[101,142,165,187,233],"tested":[105],"normalized":[109],"difference":[110],"index":[112],"(NDVI)":[113],"a":[119,243],"complete":[120],"period":[121],"growth.":[124],"Two":[125],"scenes":[126],"selected":[128,163],"represent":[130],"situations":[132],"which":[134,190],"locations":[136],"sparsely":[138],"densely":[140],"distributed.":[141],"results":[143],"show":[144],"that":[145,252],"FVCs":[147],"estimated":[148],"MSN":[151,188],"method":[152],"have":[153],"errors":[154],"approximately":[156],"less":[157],"than":[158],"0.03":[159],"two":[162],"scenes.":[164],"validation":[166],"accuracy":[167],"varies":[172],"stratified":[177],"growing":[182],"considers":[191],"both":[192],"heterogeneity":[193],"autocorrelations":[195],"strata,":[197],"recommended":[199],"for":[200],"use":[201],"determination":[204],"samplings":[206],"prior":[207],"design":[210],"an":[212],"experimental":[213],"campaign.":[214],"In":[215],"addition,":[216],"slight":[218],"scaling":[219],"bias":[220],"caused":[221],"by":[222],"non-linear":[224],"relationship":[225],"NDVI":[227],"FVC":[229],"samples":[230],"discussed.":[232],"positive":[234],"or":[235],"negative":[236],"trend":[237],"biases":[240],"predicted":[241],"Taylor":[244],"expansion":[245],"found":[247],"be":[249],"consistent":[250],"real":[255],"biases.":[256]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2016-06-24T00:00:00"}