{"id":"https://openalex.org/W2137174749","doi":"https://doi.org/10.1109/igarss.2005.1525702","title":"Effect of spectral resolution on foliage biochemical inversion","display_name":"Effect of spectral resolution on foliage biochemical inversion","publication_year":2005,"publication_date":"2005-11-15","ids":{"openalex":"https://openalex.org/W2137174749","doi":"https://doi.org/10.1109/igarss.2005.1525702","mag":"2137174749"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2005.1525702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1525702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Cong Yang","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/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":"Cong Yang","raw_affiliation_strings":["Institute of Geographical Sciences and Natural Resources Research, Graduate School of the Chinese Academy of Sciences, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geographical Sciences and Natural Resources Research, Graduate School of the Chinese Academy of Sciences, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037043871","display_name":"Runhe Shi","orcid":"https://orcid.org/0000-0001-7942-6538"},"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/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":"Runhe Shi","raw_affiliation_strings":["Institute of Geographical Sciences and Natural Resources Research, Graduate School of the Chinese Academy of Sciences, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geographical Sciences and Natural Resources Research, Graduate School of the Chinese Academy of Sciences, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039313219","display_name":"Fadong Li","orcid":"https://orcid.org/0000-0002-6930-3419"},"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/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":"Fadong Li","raw_affiliation_strings":["Institute of Geographical Sciences and Natural Resources Research, Graduate School of the Chinese Academy of Sciences, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geographical Sciences and Natural Resources Research, Graduate School of the Chinese Academy of Sciences, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2318911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"3006","last_page":"3008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9995999932289124,"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":0.9995999932289124,"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":0.996399998664856,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.6594207882881165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.467695951461792},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4646299481391907},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39582252502441406},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.34589844942092896},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3345276713371277},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.28956079483032227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23824837803840637},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12884345650672913},{"id":"https://openalex.org/keywords/paleontology","display_name":"Paleontology","score":0.08232608437538147}],"concepts":[{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.6594207882881165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.467695951461792},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4646299481391907},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39582252502441406},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.34589844942092896},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3345276713371277},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.28956079483032227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23824837803840637},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12884345650672913},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.08232608437538147},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2005.1525702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1525702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","score":0.4699999988079071,"display_name":"Clean water and sanitation"},{"id":"https://metadata.un.org/sdg/15","score":0.4300000071525574,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W91543116","https://openalex.org/W1978617972","https://openalex.org/W1986786848","https://openalex.org/W1988233512","https://openalex.org/W2021467912","https://openalex.org/W2030106896","https://openalex.org/W2030233869","https://openalex.org/W2036417688","https://openalex.org/W2046404820","https://openalex.org/W2065191898","https://openalex.org/W2145470480","https://openalex.org/W2354533596","https://openalex.org/W2546952511","https://openalex.org/W3213429084","https://openalex.org/W7061443759"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W1980470275","https://openalex.org/W2079613018","https://openalex.org/W2121524756","https://openalex.org/W2344971351","https://openalex.org/W2363509351","https://openalex.org/W2377084220","https://openalex.org/W782553550","https://openalex.org/W2086322839","https://openalex.org/W2331899663"],"abstract_inverted_index":{"Hyperspectral":[0],"technology":[1],"brings":[2],"us":[3],"not":[4,100],"only":[5],"the":[6,22,28,86,91,104,107,109],"improvement":[7],"of":[8,24,49,66],"biochemical":[9],"inversion":[10,29,50,87],"precision,":[11],"but":[12],"also":[13],"data":[14,35],"redundant":[15],"in":[16,45],"some":[17],"extent.":[18],"This":[19],"paper":[20],"examines":[21],"relation":[23],"spectral":[25,68,92,119],"resolution":[26,93,105,120],"and":[27,38,54,62,79,129],"precision":[30,88],"with":[31],"two":[32],"field":[33,40],"experiment":[34,41],"sets,":[36],"LOPEX'93":[37],"our":[39,113],"on":[42,59],"rice":[43],"held":[44],"2004.":[46],"Two":[47],"lands":[48],"methods,":[51],"statistical":[52],"regression":[53],"vegetation":[55],"indices,":[56],"are":[57],"employed":[58],"original":[60],"reflectance":[61,65],"first":[63],"derivative":[64],"a":[67,118],"resolutions":[69],"levels,":[70],"2":[71],"nm,":[72,74,76],"5":[73,122],"10":[75],"20":[77],"nm":[78,123],"TM":[80],"simulated":[81],"bands.":[82],"Results":[83],"show":[84],"that":[85,117],"decreases":[89],"When":[90],"becomes":[94],"coarse.":[95],"However,":[96],"such":[97],"change":[98,110],"is":[99,124],"linear.":[101],"The":[102],"finer":[103],"is,":[106],"less":[108],"is.":[111],"In":[112],"study,":[114],"we":[115],"find":[116],"at":[121],"enough":[125],"for":[126],"both":[127],"water":[128],"chlorophyll":[130],"inversion.":[131]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
