{"id":"https://openalex.org/W2116090268","doi":"https://doi.org/10.1109/igarss.2005.1526233","title":"Assimilation of ASAR data for wheat yield prediction: matera case study","display_name":"Assimilation of ASAR data for wheat yield prediction: matera case study","publication_year":2005,"publication_date":"2005-11-15","ids":{"openalex":"https://openalex.org/W2116090268","doi":"https://doi.org/10.1109/igarss.2005.1526233","mag":"2116090268"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2005.1526233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1526233","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":"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/A5063345076","display_name":"Laura Dente","orcid":"https://orcid.org/0000-0003-0087-4667"},"institutions":[{"id":"https://openalex.org/I4210146308","display_name":"Institute of Intelligent Systems for Automation","ror":"https://ror.org/051t1q308","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210146308","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"L. Dente","raw_affiliation_strings":["Istituto di Studi Sui Sistemi Intelligenti per L'Automazione, ISSIA-CNR, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto di Studi Sui Sistemi Intelligenti per L'Automazione, ISSIA-CNR, Bari, Italy","institution_ids":["https://openalex.org/I4210146308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026288161","display_name":"Michele Rinaldi","orcid":"https://orcid.org/0000-0002-1211-8052"},"institutions":[{"id":"https://openalex.org/I4210158622","display_name":"Istituto Sperimentale Agronomico","ror":"https://ror.org/05dsxr353","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210125105","https://openalex.org/I4210158622"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Rinaldi","raw_affiliation_strings":["Istituto Sperimentale Agronomico, ISA, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto Sperimentale Agronomico, ISA, Bari, Italy","institution_ids":["https://openalex.org/I4210158622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091232821","display_name":"Francesco Mattia","orcid":"https://orcid.org/0000-0002-0180-564X"},"institutions":[{"id":"https://openalex.org/I4210146308","display_name":"Institute of Intelligent Systems for Automation","ror":"https://ror.org/051t1q308","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210146308","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"F. Mattia","raw_affiliation_strings":["Istituto di Studi Sui Sistemi Intelligenti per L'Automazione, ISSIA-CNR, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto di Studi Sui Sistemi Intelligenti per L'Automazione, ISSIA-CNR, Bari, Italy","institution_ids":["https://openalex.org/I4210146308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036633931","display_name":"Giuseppe Satalino","orcid":"https://orcid.org/0000-0003-1566-5497"},"institutions":[{"id":"https://openalex.org/I4210146308","display_name":"Institute of Intelligent Systems for Automation","ror":"https://ror.org/051t1q308","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210146308","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G. Satalino","raw_affiliation_strings":["Istituto di Studi Sui Sistemi Intelligenti per L'Automazione, ISSIA-CNR, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto di Studi Sui Sistemi Intelligenti per L'Automazione, ISSIA-CNR, Bari, Italy","institution_ids":["https://openalex.org/I4210146308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063345076"],"corresponding_institution_ids":["https://openalex.org/I4210146308"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11041497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"1","issue":null,"first_page":"550","last_page":"553"},"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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":0.9897000193595886,"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/data-assimilation","display_name":"Data assimilation","score":0.8518743515014648},{"id":"https://openalex.org/keywords/winter-wheat","display_name":"Winter wheat","score":0.6705374717712402},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.5628265738487244},{"id":"https://openalex.org/keywords/grain-yield","display_name":"Grain yield","score":0.5557491183280945},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5546886324882507},{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.5010151863098145},{"id":"https://openalex.org/keywords/crop-yield","display_name":"Crop yield","score":0.4941606819629669},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45886629819869995},{"id":"https://openalex.org/keywords/assimilation","display_name":"Assimilation (phonology)","score":0.4586583971977234},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.43276065587997437},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.42924806475639343},{"id":"https://openalex.org/keywords/backscatter","display_name":"Backscatter (email)","score":0.4233441948890686},{"id":"https://openalex.org/keywords/crop","display_name":"Crop","score":0.4146067202091217},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.36252015829086304},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.2751384973526001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2201440930366516},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16295000910758972},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10307580232620239},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0891478955745697}],"concepts":[{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.8518743515014648},{"id":"https://openalex.org/C3018661444","wikidata":"https://www.wikidata.org/wiki/Q6977574","display_name":"Winter wheat","level":2,"score":0.6705374717712402},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.5628265738487244},{"id":"https://openalex.org/C2992211155","wikidata":"https://www.wikidata.org/wiki/Q889514","display_name":"Grain yield","level":2,"score":0.5557491183280945},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5546886324882507},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.5010151863098145},{"id":"https://openalex.org/C126343540","wikidata":"https://www.wikidata.org/wiki/Q889514","display_name":"Crop yield","level":2,"score":0.4941606819629669},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45886629819869995},{"id":"https://openalex.org/C75649859","wikidata":"https://www.wikidata.org/wiki/Q148877","display_name":"Assimilation (phonology)","level":2,"score":0.4586583971977234},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.43276065587997437},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.42924806475639343},{"id":"https://openalex.org/C30354325","wikidata":"https://www.wikidata.org/wiki/Q204667","display_name":"Backscatter (email)","level":3,"score":0.4233441948890686},{"id":"https://openalex.org/C137580998","wikidata":"https://www.wikidata.org/wiki/Q235352","display_name":"Crop","level":2,"score":0.4146067202091217},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.36252015829086304},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.2751384973526001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2201440930366516},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16295000910758972},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10307580232620239},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0891478955745697},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2005.1526233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1526233","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":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1538578532","https://openalex.org/W2059349490","https://openalex.org/W2126087248","https://openalex.org/W2158883105","https://openalex.org/W2160982437","https://openalex.org/W2169390017"],"related_works":["https://openalex.org/W4383117943","https://openalex.org/W4385180878","https://openalex.org/W4382366283","https://openalex.org/W4382519655","https://openalex.org/W842789846","https://openalex.org/W2654527859","https://openalex.org/W4391897620","https://openalex.org/W2394447903","https://openalex.org/W2354237351","https://openalex.org/W4238891807"],"abstract_inverted_index":{"The":[0,36],"objective":[1],"of":[2,11,32,39,46,86],"this":[3],"work":[4,81],"is":[5],"to":[6,28,95],"investigate":[7],"the":[8,30,44,60,70,84,92,99,104],"synergistic":[9],"use":[10],"leaf":[12],"area":[13],"index":[14],"(LAI)":[15],"retrieved":[16],"by":[17,74],"ENVISAT":[18,87],"ASAR":[19,88],"data":[20,90],"and":[21,103],"crop":[22],"growth":[23],"models,":[24],"such":[25],"as":[26],"CERES-Wheat,":[27],"improve":[29],"accuracy":[31,45],"wheat":[33,71,100],"yield":[34,106],"predictions.":[35,108],"estimate":[37],"reliability":[38],"CERES-Wheat":[40],"strongly":[41],"depends":[42],"on":[43,69],"its":[47],"numerous":[48],"inputs,":[49],"which":[50],"are":[51],"not":[52],"always":[53],"available":[54],"or":[55],"accurate.":[56],"As":[57],"a":[58],"consequence,":[59],"model":[61,93,107],"would":[62],"largely":[63],"benefit":[64],"from":[65],"using":[66],"updated":[67],"information":[68],"status,":[72],"provided":[73],"remote":[75],"sensing":[76],"at":[77],"field":[78],"scale.":[79],"This":[80],"shows":[82],"that":[83],"assimilation":[85],"AP":[89],"into":[91],"lead":[94],"significant":[96],"improvements":[97],"in":[98],"dry":[101],"biomass":[102],"grain":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}