{"id":"https://openalex.org/W4389917259","doi":"https://doi.org/10.1109/tgrs.2023.3344188","title":"Remote Sensing Inversion of Vegetation Parameters With IPROSAIL-Net","display_name":"Remote Sensing Inversion of Vegetation Parameters With IPROSAIL-Net","publication_year":2023,"publication_date":"2023-12-18","ids":{"openalex":"https://openalex.org/W4389917259","doi":"https://doi.org/10.1109/tgrs.2023.3344188"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3344188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3344188","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5085627064","display_name":"Yunli Han","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"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":"Yunli Han","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057149005","display_name":"Yingying Dong","orcid":"https://orcid.org/0000-0002-2865-5020"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingying Dong","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2865-5020","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075126167","display_name":"Yining Zhu","orcid":"https://orcid.org/0000-0003-4498-477X"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yining Zhu","raw_affiliation_strings":["School of Mathematical Sciences, Capital Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4498-477X","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109619264","display_name":"Wenjiang Huang","orcid":"https://orcid.org/0000-0003-1710-8301"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjiang Huang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4499,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80344837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9803000092506409,"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"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9803000092506409,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.965399980545044,"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":0.9161999821662903,"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/remote-sensing","display_name":"Remote sensing","score":0.7517586946487427},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.6604835987091064},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.5992845296859741},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3964448571205139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36704182624816895},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.31539177894592285},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.0721055269241333}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7517586946487427},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.6604835987091064},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.5992845296859741},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3964448571205139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36704182624816895},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.31539177894592285},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0721055269241333},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3344188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3344188","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.6299999952316284,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G1569596900","display_name":"\u8349\u5730\u8d2a\u591c\u86fe\u9002\u751f\u533a\u9065\u611f\u63d0\u53d6\u4e0e\u53d1\u751f\u9884\u6d4b\u7814\u7a76","funder_award_id":"42071320","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6485959331","display_name":null,"funder_award_id":"ANSO-CR-KP-2021-06","funder_id":"https://openalex.org/F4320332035","funder_display_name":"Alliance of International Science Organizations"},{"id":"https://openalex.org/G775825118","display_name":"\u533a\u57df\u5c0f\u9ea6\u8d64\u9709\u75c5\u9065\u611f\u52a8\u6001\u9884\u6d4b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"42071423","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8109118608","display_name":null,"funder_award_id":"2021YFB3901303","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/F4320332035","display_name":"Alliance of International Science Organizations","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1978160572","https://openalex.org/W2002934707","https://openalex.org/W2005908679","https://openalex.org/W2015320045","https://openalex.org/W2020860387","https://openalex.org/W2024039740","https://openalex.org/W2051128904","https://openalex.org/W2055842947","https://openalex.org/W2059501000","https://openalex.org/W2066612219","https://openalex.org/W2069883641","https://openalex.org/W2101010747","https://openalex.org/W2107647949","https://openalex.org/W2121025745","https://openalex.org/W2122377927","https://openalex.org/W2165124968","https://openalex.org/W2521632474","https://openalex.org/W2552055347","https://openalex.org/W2596051487","https://openalex.org/W2609233015","https://openalex.org/W2782772130","https://openalex.org/W2804105389","https://openalex.org/W2806394060","https://openalex.org/W2883847543","https://openalex.org/W2918294784","https://openalex.org/W2943149585","https://openalex.org/W2985010831","https://openalex.org/W2990165672","https://openalex.org/W3000544281","https://openalex.org/W3087553925","https://openalex.org/W3094232264","https://openalex.org/W3130567644","https://openalex.org/W3130858219","https://openalex.org/W3162408390","https://openalex.org/W3179490821","https://openalex.org/W3199172234","https://openalex.org/W3199450174","https://openalex.org/W3208086545","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2324615561","https://openalex.org/W2086120259","https://openalex.org/W2245170124","https://openalex.org/W2076393078","https://openalex.org/W3186982001","https://openalex.org/W1984402782","https://openalex.org/W2137941439","https://openalex.org/W2004200960","https://openalex.org/W1999891779","https://openalex.org/W2029513011"],"abstract_inverted_index":{"Vegetation":[0],"parameters":[1,15],"are":[2],"important":[3],"for":[4,30,227,243],"the":[5,10,22,81,85,88,96,105,110,113,117,121,144,163,173,188,194,203,210,235],"global":[6],"carbon":[7],"cycle.":[8],"Therefore,":[9,234],"quantitative":[11],"acquisition":[12],"of":[13,21,84,99,112,154,175,196,247],"vegetation":[14,31,114,248],"is":[16,239],"crucial.":[17],"The":[18,34,74,166,218],"inverse":[19,37,66,97],"process":[20,38,67,83,98],"PROSAIL":[23,36,65,75,156],"model":[24,76],"has":[25,47],"provided":[26],"a":[27,64,126],"classic":[28],"method":[29,69],"parameter":[32],"estimation.":[33],"current":[35],"simulation,":[39],"based":[40,70,94],"on":[41,71,95],"lookup":[42],"tables":[43],"and":[44,53,102,119,138,190,209,212,241],"other":[45],"methods,":[46],"challenges,":[48],"such":[49],"as":[50,116,143],"low":[51],"accuracy":[52,168,205],"poor":[54],"spatial":[55],"universality.":[56],"To":[57],"address":[58],"these":[59],"issues,":[60],"this":[61],"study":[62],"proposed":[63],"simulation":[68,157],"deep":[72],"learning.":[73],"was":[77,92,169,206,221],"decomposed":[78],"according":[79],"to":[80,161,186,230],"physical":[82],"model.":[86],"Then,":[87],"corresponding":[89],"network":[90,108,238],"module":[91,101],"designed":[93],"each":[100],"combined":[103],"into":[104,224],"IPROSAIL-Net.":[106],"This":[107,146],"uses":[109],"reflectance":[111],"canopies":[115],"input":[118],"presents":[120],"leaf":[122,139],"structure":[123],"parameter,":[124],"chlorophyll":[125],"+":[127],"b":[128],"content":[129,136],"Cab,":[130],"equivalent":[131],"water":[132],"thickness,":[133],"dry":[134],"matter":[135],"Cm,":[137],"area":[140],"index":[141],"(LAI)":[142],"output.":[145],"article":[147],"conducted":[148],"experiments":[149],"using":[150],"two":[151],"different":[152],"sets":[153],"data.":[155],"data":[158,183],"were":[159,184,215],"used":[160,185],"invert":[162,187],"five":[164],"values.":[165,192],"inversion":[167,246],"above":[170,207,216],"0.99":[171],"when":[172],"number":[174,195],"training":[176,197],"samples":[177,198],"reached":[178,199],"more":[179,200],"than":[180,201],"30000.":[181],"EnMAP":[182],"Cab":[189],"LAI":[191],"When":[193],"120,":[202],"cereals":[204],"0.97":[208],"maize":[211],"rapeseed":[213],"accuracies":[214],"0.99.":[217],"IPROSAIL-Net":[219,236],"design":[220],"further":[222],"split":[223],"six":[225],"networks":[226],"separate":[228],"trainings":[229],"verify":[231],"its":[232],"rationality.":[233],"neural":[237],"reasonable":[240],"feasible":[242],"remote":[244],"sensing":[245],"parameters.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}