{"id":"https://openalex.org/W2134180438","doi":"https://doi.org/10.1109/igarss.2008.4780154","title":"A Methodology for Selection of Optimal Viewing Angles for an Accurate Estimation of Leaf Area Index based on Information Theory","display_name":"A Methodology for Selection of Optimal Viewing Angles for an Accurate Estimation of Leaf Area Index based on Information Theory","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2134180438","doi":"https://doi.org/10.1109/igarss.2008.4780154","mag":"2134180438"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2008.4780154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4780154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 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/A5102198875","display_name":"Yanjuan Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"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":true,"raw_author_name":"Yanjuan Yao","raw_affiliation_strings":["Institute of Remote Sensing and GIS, Peking University, Beijing, China","State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and GIS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409478","display_name":"Qiang Liu","orcid":"https://orcid.org/0000-0002-5302-9849"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Liu","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"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/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":"Qinhuo Liu","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089188165","display_name":"Wenjie Fan","orcid":"https://orcid.org/0000-0002-3727-4748"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Fan","raw_affiliation_strings":["Institute of Remote Sensing and GIS, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and GIS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106824166","display_name":"Xiaowen Li","orcid":"https://orcid.org/0009-0005-7910-7912"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowen Li","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Beijing normal university, Beijing, China","State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing normal university, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102198875"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11325357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"71","issue":null,"first_page":"V ","last_page":" 562"},"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":0.9976999759674072,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.98580002784729,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7525661587715149},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.7085740566253662},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.6783853769302368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.65446937084198},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.5312948822975159},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.511424720287323},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.450437068939209},{"id":"https://openalex.org/keywords/information-theory","display_name":"Information theory","score":0.41093724966049194},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19878512620925903},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18352189660072327},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18344858288764954},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13465115427970886},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13244572281837463}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7525661587715149},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.7085740566253662},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.6783853769302368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.65446937084198},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.5312948822975159},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.511424720287323},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.450437068939209},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.41093724966049194},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19878512620925903},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18352189660072327},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18344858288764954},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13465115427970886},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13244572281837463},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2008.4780154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4780154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1978160572","https://openalex.org/W1992833595","https://openalex.org/W1995875735","https://openalex.org/W2021950464","https://openalex.org/W2033815159","https://openalex.org/W2037117298","https://openalex.org/W2047160544","https://openalex.org/W2100953091","https://openalex.org/W2153940207","https://openalex.org/W2165715131","https://openalex.org/W2319800158"],"related_works":["https://openalex.org/W2350520172","https://openalex.org/W2075237332","https://openalex.org/W2061278088","https://openalex.org/W2163103544","https://openalex.org/W3039080452","https://openalex.org/W3033899355","https://openalex.org/W3025482071","https://openalex.org/W4210452449","https://openalex.org/W2921877942","https://openalex.org/W2055254734"],"abstract_inverted_index":{"More":[0],"and":[1,24,68,119],"more":[2],"wide-view":[3],"angle":[4,33],"or":[5],"multi-angular":[6,47],"sensors":[7],"provide":[8],"the":[9,22,27,42,46,61,72,76,85,89,96,106,120],"possibility":[10],"to":[11,20,40],"retrieve":[12],"vegetation":[13,97],"parameters.":[14],"It":[15],"is":[16,54,79,124],"an":[17,38],"important":[18],"issue":[19],"access":[21],"accuracy":[23,94,123],"uncertainty":[25],"of":[26,45,95],"products":[28],"retrieved":[29,99],"from":[30,100],"different":[31],"view":[32],"observations.":[34,113],"This":[35],"paper":[36],"presents":[37],"approach":[39],"evaluate":[41],"information":[43,57,77,86,107,117],"content":[44,78,87,118],"remote":[48,73,90],"sensing":[49,74,91],"data.":[50,92],"The":[51,81,93,114],"proposed":[52],"method":[53],"based":[55],"on":[56,105],"theory.":[58],"By":[59],"using":[60],"entropy":[62],"difference":[63],"between":[64,116],"all":[65],"unknown":[66],"parameters":[67,70,98],"non-target":[69],"for":[71],"data,":[75],"quantified.":[80],"presented":[82],"methodology":[83],"revealed":[84],"in":[88,126],"canopy":[101],"reflectance":[102],"depends":[103],"mainly":[104],"about":[108],"target":[109],"parameter":[110],"contained":[111],"within":[112],"relationship":[115],"LAI":[121],"inversion":[122],"listed":[125],"this":[127],"paper.":[128]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}