{"id":"https://openalex.org/W2066285385","doi":"https://doi.org/10.1109/igarss.2012.6352753","title":"Based on PROSAIL and four scale model to estimation LAI from HJ-1B CCD2 data in Zhangye","display_name":"Based on PROSAIL and four scale model to estimation LAI from HJ-1B CCD2 data in Zhangye","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2066285385","doi":"https://doi.org/10.1109/igarss.2012.6352753","mag":"2066285385"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6352753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6352753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","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/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/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":"Jing Zhao","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Science and Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Science and Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"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/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":"Jing Li","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Science and Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Science and Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018009227","display_name":"Qinhuo Liu","orcid":"https://orcid.org/0000-0002-3713-9511"},"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/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinhuo Liu","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Science and Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Science and Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112357426"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I25254941","https://openalex.org/I4210166112"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.10362911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"6519","last_page":"6522"},"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":0.9980000257492065,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9940999746322632,"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":0.8575268983840942},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7183210253715515},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.6127476096153259},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.5899648666381836},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5636528730392456},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5453691482543945},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.5084018111228943},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.4792375862598419},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.44501107931137085},{"id":"https://openalex.org/keywords/lookup-table","display_name":"Lookup table","score":0.4334099590778351},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.4310835897922516},{"id":"https://openalex.org/keywords/enhanced-vegetation-index","display_name":"Enhanced vegetation index","score":0.42565327882766724},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42164695262908936},{"id":"https://openalex.org/keywords/vegetation-index","display_name":"Vegetation Index","score":0.32727155089378357},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2076418399810791},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16483786702156067},{"id":"https://openalex.org/keywords/structural-basin","display_name":"Structural basin","score":0.14855286478996277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.11703485250473022},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08256524801254272}],"concepts":[{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.8575268983840942},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7183210253715515},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.6127476096153259},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.5899648666381836},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5636528730392456},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5453691482543945},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.5084018111228943},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.4792375862598419},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.44501107931137085},{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.4334099590778351},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.4310835897922516},{"id":"https://openalex.org/C78869512","wikidata":"https://www.wikidata.org/wiki/Q5378810","display_name":"Enhanced vegetation index","level":5,"score":0.42565327882766724},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42164695262908936},{"id":"https://openalex.org/C2780376076","wikidata":"https://www.wikidata.org/wiki/Q1499458","display_name":"Vegetation Index","level":4,"score":0.32727155089378357},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2076418399810791},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16483786702156067},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.14855286478996277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.11703485250473022},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08256524801254272},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2012.6352753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6352753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.75,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1969010087","https://openalex.org/W1978160572","https://openalex.org/W1991276594","https://openalex.org/W2056197778","https://openalex.org/W2060400475","https://openalex.org/W2066612219","https://openalex.org/W2067703153","https://openalex.org/W2132926714","https://openalex.org/W2151647593"],"related_works":["https://openalex.org/W2044177993","https://openalex.org/W3044682787","https://openalex.org/W3207384893","https://openalex.org/W2171400093","https://openalex.org/W2548706448","https://openalex.org/W1747966239","https://openalex.org/W2372207774","https://openalex.org/W2383260421","https://openalex.org/W2460338911","https://openalex.org/W4283156607"],"abstract_inverted_index":{"Leaf":[0],"area":[1],"index":[2],"(LAI)":[3],"is":[4],"an":[5],"important":[6],"ecological":[7],"and":[8,54,59,75,81,87,97],"environmental":[9],"parameter.":[10],"Currently,":[11],"most":[12],"LAI":[13,58,113,146],"inversion":[14,131],"methods":[15],"are":[16],"based":[17,33],"on":[18,34],"single":[19],"model.":[20],"For":[21],"continuous":[22,80],"vegetation":[23,30,44,46,60,83,95],"canopy,":[24,45],"PROSAIL":[25,74],"model":[26,77],"used":[27],"to":[28,109],"retrieve":[29],"biophysical":[31],"properties":[32],"lookup":[35,90],"table":[36],"or":[37],"neural":[38],"network":[39],"methods.":[40],"As":[41],"for":[42],"discontinuous":[43,82],"canopy":[47,84],"reflectance":[48,85],"was":[49,62],"simulated":[50,65,78],"from":[51],"Geometric-Optical":[52],"model,":[53],"the":[55,73,79,118,122,129],"relationship":[56],"between":[57],"indexes":[61],"established":[63],"using":[64,102],"reflectance.":[66],"This":[67],"paper":[68],"introduces":[69],"a":[70],"method":[71,101],"combining":[72],"four-scale":[76],"respectively,":[86],"then":[88],"establishes":[89],"tables":[91],"among":[92],"multispectral":[93],"reflectance,":[94],"indices":[96],"LAI.":[98],"The":[99],"new":[100,130],"land":[103],"cover":[104],"map":[105],"has":[106],"been":[107],"employed":[108],"inverse":[110],"HJ-1B":[111],"CCD2":[112],"in":[114,147],"zhangye":[115],"region":[116],"of":[117,121],"middle":[119],"reaches":[120],"Heihe":[123],"river":[124],"basin.":[125],"Results":[126],"show":[127],"that":[128],"results":[132],"have":[133,141],"much":[134],"more":[135],"deviation":[136],"with":[137,144],"observed":[138],"dataset,":[139],"but":[140],"good":[142],"agreement":[143],"MODIS":[145],"crops.":[148]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
