{"id":"https://openalex.org/W2900494534","doi":"https://doi.org/10.1109/igarss.2018.8519140","title":"Comparison of Four Different Sun-Induced Chlorophyll Fluorescence Retrieval Algorithms Using Simulated and Field-Measured Data","display_name":"Comparison of Four Different Sun-Induced Chlorophyll Fluorescence Retrieval Algorithms Using Simulated and Field-Measured Data","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2900494534","doi":"https://doi.org/10.1109/igarss.2018.8519140","mag":"2900494534"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8519140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8519140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 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/A5047164654","display_name":"Menghao Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Menghao Ji","raw_affiliation_strings":["State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088342796","display_name":"Bo\u2010Hui Tang","orcid":"https://orcid.org/0000-0002-1918-5346"},"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/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo-Hui Tang","raw_affiliation_strings":["State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047164654"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.5718,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71625167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2741","last_page":"2744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9854999780654907,"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":0.9854999780654907,"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/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9693999886512756,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing 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/T14157","display_name":"Environmental and Agricultural Sciences","score":0.9178000092506409,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/mean-squared-error","display_name":"Mean squared error","score":0.6813575029373169},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6177666783332825},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5153076648712158},{"id":"https://openalex.org/keywords/chlorophyll-fluorescence","display_name":"Chlorophyll fluorescence","score":0.4886646568775177},{"id":"https://openalex.org/keywords/spectral-resolution","display_name":"Spectral resolution","score":0.47611695528030396},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46327802538871765},{"id":"https://openalex.org/keywords/fluorescence","display_name":"Fluorescence","score":0.4487898051738739},{"id":"https://openalex.org/keywords/chlorophyll-a","display_name":"Chlorophyll a","score":0.4405536353588104},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.435968816280365},{"id":"https://openalex.org/keywords/spectrometer","display_name":"Spectrometer","score":0.43147027492523193},{"id":"https://openalex.org/keywords/root-mean-square","display_name":"Root mean square","score":0.4281077980995178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4145970046520233},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26185521483421326},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.22581902146339417},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.19127461314201355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18076413869857788},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.16671764850616455},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15148359537124634},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10956034064292908},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09877213835716248}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6813575029373169},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6177666783332825},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5153076648712158},{"id":"https://openalex.org/C24630173","wikidata":"https://www.wikidata.org/wiki/Q1075297","display_name":"Chlorophyll fluorescence","level":3,"score":0.4886646568775177},{"id":"https://openalex.org/C124967146","wikidata":"https://www.wikidata.org/wiki/Q3457898","display_name":"Spectral resolution","level":3,"score":0.47611695528030396},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46327802538871765},{"id":"https://openalex.org/C91881484","wikidata":"https://www.wikidata.org/wiki/Q191807","display_name":"Fluorescence","level":2,"score":0.4487898051738739},{"id":"https://openalex.org/C2778902199","wikidata":"https://www.wikidata.org/wiki/Q133878","display_name":"Chlorophyll a","level":2,"score":0.4405536353588104},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.435968816280365},{"id":"https://openalex.org/C33390570","wikidata":"https://www.wikidata.org/wiki/Q188463","display_name":"Spectrometer","level":2,"score":0.43147027492523193},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.4281077980995178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4145970046520233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26185521483421326},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.22581902146339417},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.19127461314201355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18076413869857788},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.16671764850616455},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15148359537124634},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10956034064292908},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09877213835716248},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8519140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8519140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1804924914","https://openalex.org/W1983310529","https://openalex.org/W1991969088","https://openalex.org/W1994157009","https://openalex.org/W2074749099","https://openalex.org/W2101695001","https://openalex.org/W2111443984","https://openalex.org/W2124274454","https://openalex.org/W2144103517","https://openalex.org/W2266916868","https://openalex.org/W2399831805"],"related_works":["https://openalex.org/W2102148524","https://openalex.org/W2314720829","https://openalex.org/W4385074335","https://openalex.org/W2626189183","https://openalex.org/W2626268514","https://openalex.org/W324331621","https://openalex.org/W4226285110","https://openalex.org/W2765248831","https://openalex.org/W2309916144","https://openalex.org/W2372644133"],"abstract_inverted_index":{"Up":[0],"to":[1,41,110],"now,":[2],"there":[3],"are":[4,89],"four":[5,44],"widely":[6],"used":[7],"retrieval":[8,49],"algorithms":[9,50],"for":[10],"retrieving":[11],"sun-induced":[12,46],"chlorophyll":[13,47],"fluorescence":[14,48],"(SIF)":[15],"from":[16,113],"plant":[17],"photosynthesis:":[18],"the":[19,24,28,33,43,60,63,81,86,91,97,105],"standard":[20],"FLD":[21,26,30],"method":[22,36,93,99,107],"(FLD),":[23],"modified":[25],"(3FLD),":[27],"improved":[29],"(iFLD)":[31],"and":[32,53,62,96],"spectral":[34,122],"fitting":[35],"(SFM).":[37],"This":[38],"paper":[39],"attempts":[40],"compare":[42],"different":[45],"using":[51,80,117],"simulated":[52,82],"field-measured":[54,87],"data.":[55,83],"The":[56],"results":[57],"show":[58],"that":[59,104],"SFM":[61,92,106],"iFLD":[64,98],"methods":[65],"provide":[66],"more":[67],"accurate":[68],"SIF":[69,112],"estimations":[70],"with":[71,121],"root":[72],"mean":[73],"square":[74],"error":[75],"(RMSE)":[76],"less":[77],"than":[78,125],"0.1,":[79],"However,":[84],"when":[85],"data":[88,115],"used,":[90],"is":[94,108],"better":[95],"becomes":[100],"unstable,":[101],"which":[102],"suggests":[103],"appropriate":[109],"retrieve":[111],"field":[114],"measured":[116],"a":[118],"spectrometer":[119],"instrument":[120],"resolution":[123],"lower":[124],"Inm.":[126]},"counts_by_year":[{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}