{"id":"https://openalex.org/W2133612736","doi":"https://doi.org/10.1109/igarss.2007.4423829","title":"Land surface parameters retrieval using time series remotely sensed observations","display_name":"Land surface parameters retrieval using time series remotely sensed observations","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2133612736","doi":"https://doi.org/10.1109/igarss.2007.4423829","mag":"2133612736"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2007.4423829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 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/A5110734982","display_name":"Dongwei Wang","orcid":null},"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":true,"raw_author_name":"Dongwei Wang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City School of Geography, Beijing Normal University, Beijing, China","Beijing Normal University, Beijing,"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City School of Geography, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"Beijing Normal University, Beijing,","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035656977","display_name":"Jindi Wang","orcid":"https://orcid.org/0000-0003-4962-4888"},"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":"Jindi Wang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City School of Geography, Beijing Normal University, Beijing, China","Beijing Normal University, Beijing,"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City School of Geography, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"Beijing Normal University, Beijing,","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054758467","display_name":"Zhi\u2010Qiang Xiao","orcid":"https://orcid.org/0000-0002-5127-586X"},"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":"Zhiqiang Xiao","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City School of Geography, Beijing Normal University, Beijing, China","Beijing Normal University, Beijing,"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City School of Geography, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"Beijing Normal University, Beijing,","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100326074","display_name":"Ge Zhang","orcid":"https://orcid.org/0000-0002-7807-7695"},"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":"Ge Zhang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City School of Geography, Beijing Normal University, Beijing, China","Beijing Normal University, Beijing,"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City School of Geography, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"Beijing Normal University, Beijing,","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110734982"],"corresponding_institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11865984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"75","issue":null,"first_page":"4401","last_page":"4403"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9980000257492065,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.8988242149353027},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.799689769744873},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.7241755127906799},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6668674349784851},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.5938807129859924},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5562192797660828},{"id":"https://openalex.org/keywords/data-assimilation","display_name":"Data assimilation","score":0.4618237614631653},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2806369662284851},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16113373637199402},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13552597165107727},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.1123829185962677}],"concepts":[{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.8988242149353027},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.799689769744873},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.7241755127906799},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6668674349784851},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.5938807129859924},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5562192797660828},{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.4618237614631653},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2806369662284851},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16113373637199402},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13552597165107727},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.1123829185962677},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2007.4423829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1539818574","https://openalex.org/W1763983701","https://openalex.org/W1969702679","https://openalex.org/W1978160572","https://openalex.org/W2041863660","https://openalex.org/W2157098139","https://openalex.org/W2315373644","https://openalex.org/W2510000870","https://openalex.org/W4296357585"],"related_works":["https://openalex.org/W4383117943","https://openalex.org/W2347729776","https://openalex.org/W2377212262","https://openalex.org/W4327748155","https://openalex.org/W2955967599","https://openalex.org/W2549050738","https://openalex.org/W4387208895","https://openalex.org/W1594879216","https://openalex.org/W2388815296","https://openalex.org/W2350520172"],"abstract_inverted_index":{"Leaf":[0],"area":[1],"index":[2],"(LAI)":[3],"is":[4,24,74,100],"an":[5],"important":[6,15],"parameter":[7],"for":[8,17,71,89],"estimating":[9],"growth":[10,48,57,66,83],"status":[11],"of":[12,114,120],"crops.":[13],"An":[14],"method":[16,70],"retrieving":[18],"LAI":[19,62,90,122],"from":[20],"remotely":[21],"sensed":[22],"observations":[23,113],"by":[25],"the":[26,40,55,86,101],"canopy":[27,78,115],"reflectance":[28,79,116],"model":[29,33,58,105,124],"inversion.":[30,125],"But":[31],"many":[32],"inversion":[34,106],"methods":[35],"didn't":[36],"take":[37],"into":[38,85],"account":[39],"relationship":[41],"between":[42],"estimated":[43,121],"LAIs":[44],"in":[45,81,97,123],"different":[46,82],"crop":[47,56,65],"stages.":[49,67],"In":[50],"this":[51,72,98],"research,":[52],"we":[53,95],"consider":[54],"which":[59],"describe":[60],"how":[61],"change":[63],"with":[64],"The":[68,104],"main":[69],"research":[73],"assimilating":[75],"multiple":[76],"crop's":[77],"observed":[80],"stages":[84],"cost":[87],"function":[88],"retrieval.":[91],"Data":[92],"assimilation":[93],"algorithm":[94],"used":[96],"study":[99],"variation":[102],"algorithm.":[103],"results":[107],"have":[108],"showed":[109],"that":[110],"time":[111],"series":[112],"can":[117],"decrease":[118],"uncertainty":[119]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
