{"id":"https://openalex.org/W2054156171","doi":"https://doi.org/10.3390/rs70201300","title":"An Optimal Sampling Design for Observing and Validating Long-Term Leaf Area Index with Temporal Variations in Spatial Heterogeneities","display_name":"An Optimal Sampling Design for Observing and Validating Long-Term Leaf Area Index with Temporal Variations in Spatial Heterogeneities","publication_year":2015,"publication_date":"2015-01-26","ids":{"openalex":"https://openalex.org/W2054156171","doi":"https://doi.org/10.3390/rs70201300","mag":"2054156171"},"language":"en","primary_location":{"id":"doi:10.3390/rs70201300","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs70201300","pdf_url":"https://www.mdpi.com/2072-4292/7/2/1300/pdf?version=1422269419","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/2072-4292/7/2/1300/pdf?version=1422269419","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067681796","display_name":"Yelu Zeng","orcid":"https://orcid.org/0000-0003-4267-1841"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"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"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yelu Zeng","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences,  Beijing 100049, China","Joint Center for Global Change Studies, Beijing 100875, China","State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20A, Datun Road, Chaoyang District, Beijing 100101, China","College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences,  Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Joint Center for Global Change Studies, Beijing 100875, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20A, Datun Road, Chaoyang District, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112559416","display_name":"Jing Li","orcid":"https://orcid.org/0000-0001-9736-5732"},"institutions":[{"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"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Li","raw_affiliation_strings":["Joint Center for Global Change Studies, Beijing 100875, China","State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20A, Datun Road, Chaoyang District, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"Joint Center for Global Change Studies, Beijing 100875, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20A, Datun Road, Chaoyang District, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018009227","display_name":"Qinhuo Liu","orcid":"https://orcid.org/0000-0002-3713-9511"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qinhuo Liu","raw_affiliation_strings":["Joint Center for Global Change Studies, Beijing 100875, China","State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20A, Datun Road, Chaoyang District, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"Joint Center for Global Change Studies, Beijing 100875, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20A, Datun Road, Chaoyang District, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076007515","display_name":"Yonghua Qu","orcid":"https://orcid.org/0000-0001-5940-5764"},"institutions":[{"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"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghua Qu","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20A, Datun Road, Chaoyang District, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20A, Datun Road, Chaoyang District, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046277669","display_name":"Alfredo Huete","orcid":"https://orcid.org/0000-0003-2809-2376"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Alfredo Huete","raw_affiliation_strings":["Plant Functional Biology and Climate Change Cluster (C3), University of Technology,  Sydney 2007, Australia","Plant Functional Biology and Climate Change Cluster (C3), University of Technology, Sydney 2007, Australia"],"affiliations":[{"raw_affiliation_string":"Plant Functional Biology and Climate Change Cluster (C3), University of Technology,  Sydney 2007, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Plant Functional Biology and Climate Change Cluster (C3), University of Technology, Sydney 2007, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027682300","display_name":"Baodong Xu","orcid":"https://orcid.org/0000-0002-2068-8610"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"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"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baodong Xu","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences,  Beijing 100049, China","State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20A, Datun Road, Chaoyang District, Beijing 100101, China","College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences,  Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20A, Datun Road, Chaoyang District, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001902532","display_name":"Geofei Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Geofei Yin","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences,  Beijing 100049, China","State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20A, Datun Road, Chaoyang District, Beijing 100101, China","College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences,  Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20A, Datun Road, Chaoyang District, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112357426","display_name":"Jing Zhao","orcid":"https://orcid.org/0000-0001-7221-3556"},"institutions":[{"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"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhao","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20A, Datun Road, Chaoyang District, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20A, Datun Road, Chaoyang District, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5018009227","https://openalex.org/A5112559416"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053","https://openalex.org/I4210166112"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":5.1801,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.94973447,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"7","issue":"2","first_page":"1300","last_page":"1319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998000264167786,"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":0.9998000264167786,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","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"}}],"keywords":[{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.833938479423523},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.686806321144104},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.5557377934455872},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.545821487903595},{"id":"https://openalex.org/keywords/enhanced-vegetation-index","display_name":"Enhanced vegetation index","score":0.5398667454719543},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4918637275695801},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4865545332431793},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.47042393684387207},{"id":"https://openalex.org/keywords/sampling-design","display_name":"Sampling design","score":0.43012934923171997},{"id":"https://openalex.org/keywords/temporal-resolution","display_name":"Temporal resolution","score":0.4276261627674103},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.388560026884079},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36054447293281555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.29756641387939453},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2697916626930237},{"id":"https://openalex.org/keywords/vegetation-index","display_name":"Vegetation Index","score":0.16702485084533691},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.14957106113433838},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1349983513355255}],"concepts":[{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.833938479423523},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.686806321144104},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.5557377934455872},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.545821487903595},{"id":"https://openalex.org/C78869512","wikidata":"https://www.wikidata.org/wiki/Q5378810","display_name":"Enhanced vegetation index","level":5,"score":0.5398667454719543},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4918637275695801},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4865545332431793},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.47042393684387207},{"id":"https://openalex.org/C75373757","wikidata":"https://www.wikidata.org/wiki/Q7410160","display_name":"Sampling design","level":3,"score":0.43012934923171997},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.4276261627674103},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.388560026884079},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36054447293281555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29756641387939453},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2697916626930237},{"id":"https://openalex.org/C2780376076","wikidata":"https://www.wikidata.org/wiki/Q1499458","display_name":"Vegetation Index","level":4,"score":0.16702485084533691},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.14957106113433838},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1349983513355255},{"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs70201300","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs70201300","pdf_url":"https://www.mdpi.com/2072-4292/7/2/1300/pdf?version=1422269419","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:a12ead180ebe42b7981eda086fbceca5","is_oa":true,"landing_page_url":"https://doaj.org/article/a12ead180ebe42b7981eda086fbceca5","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 2, Pp 1300-1319 (2015)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/7/2/1300/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs70201300","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 2; Pages: 1300-1319","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs70201300","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs70201300","pdf_url":"https://www.mdpi.com/2072-4292/7/2/1300/pdf?version=1422269419","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","id":"https://metadata.un.org/sdg/15","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G3664521330","display_name":null,"funder_award_id":"41271366","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4599591725","display_name":null,"funder_award_id":"2013CB733401","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"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/W2054156171.pdf","grobid_xml":"https://content.openalex.org/works/W2054156171.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W61452412","https://openalex.org/W1969422238","https://openalex.org/W1969801270","https://openalex.org/W1970972243","https://openalex.org/W1977422739","https://openalex.org/W1980879303","https://openalex.org/W1986134545","https://openalex.org/W1997904108","https://openalex.org/W1998776407","https://openalex.org/W2008254003","https://openalex.org/W2012673788","https://openalex.org/W2013018318","https://openalex.org/W2017010640","https://openalex.org/W2023312901","https://openalex.org/W2029984822","https://openalex.org/W2032571483","https://openalex.org/W2037664828","https://openalex.org/W2041906034","https://openalex.org/W2044624560","https://openalex.org/W2048040783","https://openalex.org/W2049763161","https://openalex.org/W2058214432","https://openalex.org/W2065812289","https://openalex.org/W2087987077","https://openalex.org/W2097110832","https://openalex.org/W2108134942","https://openalex.org/W2108245550","https://openalex.org/W2111979722","https://openalex.org/W2121025745","https://openalex.org/W2124233655","https://openalex.org/W2124564759","https://openalex.org/W2125144297","https://openalex.org/W2125763679","https://openalex.org/W2130267033","https://openalex.org/W2131126673","https://openalex.org/W2133497656","https://openalex.org/W2136302747","https://openalex.org/W2151647593","https://openalex.org/W2152721423","https://openalex.org/W2154964583","https://openalex.org/W2156402689","https://openalex.org/W2166964044","https://openalex.org/W2497881439","https://openalex.org/W2575089386","https://openalex.org/W2624803523","https://openalex.org/W2753355986","https://openalex.org/W2785855877","https://openalex.org/W6678493719"],"related_works":["https://openalex.org/W4387131574","https://openalex.org/W4378980784","https://openalex.org/W2374167006","https://openalex.org/W2144855297","https://openalex.org/W3183766399","https://openalex.org/W2250171873","https://openalex.org/W3173165341","https://openalex.org/W2921646734","https://openalex.org/W3207046288","https://openalex.org/W3207384893"],"abstract_inverted_index":{"A":[0],"sampling":[1,6,66,156,163,171],"strategy":[2,67,85,172],"to":[3,37,139,239,250,257,276,280,336],"define":[4],"elementary":[5],"units":[7],"(ESUs)":[8],"for":[9,25,47,59,92,299,350],"an":[10,18,64,79],"entire":[11,132],"site":[12,133],"at":[13,263],"the":[14,22,39,53,107,119,123,128,131,136,146,166,180,186,194,198,206,214,219,224,230,242,259,264,291,300,343],"kilometer":[15],"scale":[16],"is":[17],"important":[19],"step":[20],"in":[21,145,185,204,222,270,355],"validation":[23,340],"process":[24],"moderate-resolution":[26,352],"leaf":[27],"area":[28],"index":[29,103,138,176],"(LAI)":[30],"products.":[31,286],"Current":[32],"LAI-sampling":[33],"strategies":[34,157],"are":[35,44,334],"unable":[36],"consider":[38],"vegetation":[40,102,108,175,215,348],"seasonal":[41],"changes":[42,221],"and":[43,71,81,106,130,134,169,210,241,296,309,326],"better":[45],"suited":[46],"single-day":[48],"LAI":[49,60,83,95,231,285,303,353],"product":[50,314],"validation,":[51],"whereas":[52],"increasingly":[54],"used":[55],"wireless":[56],"sensor":[57],"network":[58],"measurement":[61],"(LAINet)":[62],"requires":[63],"optimal":[65],"across":[68],"both":[69,205],"spatial":[70],"temporal":[72,220],"scales.":[73],"In":[74],"this":[75],"study,":[76],"we":[77],"developed":[78],"efficient":[80],"robust":[82],"Sampling":[84],"based":[86,164,173],"on":[87,165,174,346],"Multi-temporal":[88],"Prior":[89],"knowledge":[90,178],"(SMP)":[91],"long-term,":[93],"fixed-position":[94],"observations.":[96],"The":[97,115,149,190,252,287,312],"SMP":[98,116,150,199,253,344],"approach":[99,117,151,345],"employed":[100],"multi-temporal":[101,120,207],"(VI)":[104],"maps":[105,233],"classification":[109],"map":[110,168],"as":[111],"a":[112,170,318,322,327],"priori":[113],"knowledge.":[114],"minimized":[118],"bias":[121,295,323],"of":[122,229,320,324,330],"VI":[124],"frequency":[125],"histogram":[126],"between":[127],"ESUs":[129,142,195],"maximized":[135],"nearest-neighbor":[137],"ensure":[140],"that":[141,193,290],"were":[143,305],"dispersed":[144],"geographical":[147,211],"space.":[148],"was":[152,255],"compared":[153],"with":[154],"four":[155],"including":[158],"random":[159],"sampling,":[160,162],"systematic":[161],"land-cover":[167],"prior":[177],"using":[179,197,342],"PROSAIL":[181],"model-based":[182],"simulation":[183],"analysis":[184],"Heihe":[187],"River":[188],"basin.":[189],"results":[191,288],"indicate":[192],"selected":[196],"method":[200],"spread":[201],"more":[202,338],"evenly":[203],"feature":[208],"space":[209,212],"over":[213],"cycle.":[216],"By":[217],"considering":[218],"heterogeneity,":[223],"average":[225,292],"root-mean-square":[226],"error":[227,244],"(RMSE)":[228],"reference":[232],"can":[234,245],"be":[235,246],"reduced":[236,247],"from":[237,248,273],"0.12":[238],"0.05,":[240],"relative":[243,297,328],"6.1%":[249],"2.2%.":[251],"technique":[254],"applied":[256],"assign":[258],"LAINet":[260],"ESU":[261],"locations":[262],"Huailai":[265],"Remote":[266],"Sensing":[267],"Experimental":[268],"Station":[269],"Beijing,":[271],"China,":[272],"4":[274],"July":[275],"28":[277],"August":[278],"2013,":[279],"validate":[281],"three":[282,301],"MODIS":[283,302],"C5":[284],"suggest":[289],"R2,":[293],"RMSE,":[294],"uncertainty":[298,329],"products":[304,354],"0.60,":[306],"0.33,":[307],"\u22120.11,":[308],"12.2%,":[310],"respectively.":[311],"MCD15A2":[313],"performed":[315],"best,":[316],"exhibiting":[317],"RMSE":[319],"0.20,":[321],"\u22120.07":[325],"7.4%.":[331],"Future":[332],"efforts":[333],"needed":[335],"obtain":[337],"long-term":[339],"datasets":[341],"different":[347],"types":[349],"validating":[351],"time":[356],"series.":[357]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}