{"id":"https://openalex.org/W4387802010","doi":"https://doi.org/10.1109/igarss52108.2023.10281554","title":"Use of Sar Based Regressors for Leaf Area Index (Lai) Spatial/Temporal Filling: a Machine Learning (Ml)-Based Outlook","display_name":"Use of Sar Based Regressors for Leaf Area Index (Lai) Spatial/Temporal Filling: a Machine Learning (Ml)-Based Outlook","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387802010","doi":"https://doi.org/10.1109/igarss52108.2023.10281554"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10281554","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10281554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 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/A5072238667","display_name":"Pietro Mastro","orcid":"https://orcid.org/0000-0002-3299-3567"},"institutions":[{"id":"https://openalex.org/I4210125249","display_name":"Istituto per il Rilevamento Elettromagnetico dell'Ambiente","ror":"https://ror.org/02wxw4x45","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210125249","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Pietro Mastro","raw_affiliation_strings":["Institute for Electromagnetic Sensing of the Environment (IREA),Italian National Research Council,Napoli,Italy,80124"],"affiliations":[{"raw_affiliation_string":"Institute for Electromagnetic Sensing of the Environment (IREA),Italian National Research Council,Napoli,Italy,80124","institution_ids":["https://openalex.org/I4210125249","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032185790","display_name":"Mirco Boschetti","orcid":"https://orcid.org/0000-0003-2156-4166"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210125249","display_name":"Istituto per il Rilevamento Elettromagnetico dell'Ambiente","ror":"https://ror.org/02wxw4x45","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210125249","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mirco Boschetti","raw_affiliation_strings":["Institute for Electromagnetic Sensing of the Environment (IREA),Italian National Research Council,Napoli,Italy,80124"],"affiliations":[{"raw_affiliation_string":"Institute for Electromagnetic Sensing of the Environment (IREA),Italian National Research Council,Napoli,Italy,80124","institution_ids":["https://openalex.org/I4210125249","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012583126","display_name":"Margherita De Peppo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210125249","display_name":"Istituto per il Rilevamento Elettromagnetico dell'Ambiente","ror":"https://ror.org/02wxw4x45","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210125249","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Margherita De Peppo","raw_affiliation_strings":["Institute for Electromagnetic Sensing of the Environment (IREA),Italian National Research Council,Napoli,Italy,80124"],"affiliations":[{"raw_affiliation_string":"Institute for Electromagnetic Sensing of the Environment (IREA),Italian National Research Council,Napoli,Italy,80124","institution_ids":["https://openalex.org/I4210125249","https://openalex.org/I4210155236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084862352","display_name":"Antonio Pepe","orcid":"https://orcid.org/0000-0002-7843-3565"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210125249","display_name":"Istituto per il Rilevamento Elettromagnetico dell'Ambiente","ror":"https://ror.org/02wxw4x45","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210125249","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Pepe","raw_affiliation_strings":["Institute for Electromagnetic Sensing of the Environment (IREA),Italian National Research Council,Napoli,Italy,80124"],"affiliations":[{"raw_affiliation_string":"Institute for Electromagnetic Sensing of the Environment (IREA),Italian National Research Council,Napoli,Italy,80124","institution_ids":["https://openalex.org/I4210125249","https://openalex.org/I4210155236"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072238667"],"corresponding_institution_ids":["https://openalex.org/I4210125249","https://openalex.org/I4210155236"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15267001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"0","issue":null,"first_page":"2113","last_page":"2116"},"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":0.9994999766349792,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.711220383644104},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6297305822372437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6242615580558777},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6078898310661316},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5454893112182617},{"id":"https://openalex.org/keywords/backscatter","display_name":"Backscatter (email)","score":0.5217336416244507},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.5110765695571899},{"id":"https://openalex.org/keywords/interferometry","display_name":"Interferometry","score":0.501610279083252},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.46966683864593506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4434260129928589},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43131983280181885},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.32645535469055176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16915109753608704},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10438242554664612},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10136756300926208},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09001204371452332},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.073099285364151}],"concepts":[{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.711220383644104},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6297305822372437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6242615580558777},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6078898310661316},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5454893112182617},{"id":"https://openalex.org/C30354325","wikidata":"https://www.wikidata.org/wiki/Q204667","display_name":"Backscatter (email)","level":3,"score":0.5217336416244507},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.5110765695571899},{"id":"https://openalex.org/C166689943","wikidata":"https://www.wikidata.org/wiki/Q850283","display_name":"Interferometry","level":2,"score":0.501610279083252},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.46966683864593506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4434260129928589},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43131983280181885},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.32645535469055176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16915109753608704},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10438242554664612},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10136756300926208},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09001204371452332},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.073099285364151},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/igarss52108.2023.10281554","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10281554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W221493477","https://openalex.org/W385663865","https://openalex.org/W633320881","https://openalex.org/W1532691246","https://openalex.org/W1566144858","https://openalex.org/W1969568499","https://openalex.org/W1977109485","https://openalex.org/W2005185411","https://openalex.org/W2025207305","https://openalex.org/W2036745212","https://openalex.org/W2038617433","https://openalex.org/W2061577342","https://openalex.org/W2080441468","https://openalex.org/W2121005491","https://openalex.org/W2126087248","https://openalex.org/W2129206142","https://openalex.org/W2149764047","https://openalex.org/W2150666871","https://openalex.org/W2152863443","https://openalex.org/W2155361198","https://openalex.org/W2160434086","https://openalex.org/W2217449633","https://openalex.org/W2781973163","https://openalex.org/W2806394060","https://openalex.org/W2905254777","https://openalex.org/W2984811207","https://openalex.org/W3016949421","https://openalex.org/W3023149787","https://openalex.org/W3037944168","https://openalex.org/W3189164715","https://openalex.org/W4230031267","https://openalex.org/W4311493446","https://openalex.org/W4312914166"],"related_works":["https://openalex.org/W4383117943","https://openalex.org/W4385180878","https://openalex.org/W4382366283","https://openalex.org/W4382519655","https://openalex.org/W4383117825","https://openalex.org/W2118750013","https://openalex.org/W4382897207","https://openalex.org/W4312759319","https://openalex.org/W2012613798","https://openalex.org/W2333823683"],"abstract_inverted_index":{"This":[0,89],"study":[1,58],"investigates":[2],"the":[3,46,75,99,105,108],"efficacy":[4],"of":[5,61,107],"incoherent":[6],"and":[7,14,85],"coherent":[8],"SAR":[9,51,82],"descriptors":[10],"for":[11,97],"filling":[12],"spatial":[13],"temporal":[15],"gaps":[16],"in":[17,44,53,111],"optical-driven":[18],"Leaf":[19,66],"Area":[20,67],"Index":[21,68],"(LAI)":[22,69],"time":[23,115],"series.":[24],"Within":[25],"this":[26],"context,":[27],"an":[28],"artificial":[29],"intelligence":[30],"(AI)":[31],"algorithm":[32],"based":[33],"on":[34],"Multi-Output":[35],"Gaussian":[36],"Process":[37],"(MOGP)":[38],"[1],":[39],"[2]":[40],"demonstrated":[41],"its":[42],"effectiveness":[43],"handling":[45],"different":[47],"information":[48],"derived":[49],"from":[50],"signatures":[52],"a":[54],"unified":[55],"corpus.":[56],"The":[57],"utilizes":[59],"sequences":[60],"Sentinel-2":[62],"imagery":[63],"to":[64,80],"derive":[65],"maps,":[70],"while":[71],"Sentinel-1":[72],"observations":[73],"over":[74],"same":[76],"area":[77],"are":[78],"utilized":[79],"obtain":[81],"backscatter":[83],"coefficients":[84],"interferometric":[86],"coherence":[87],"data.":[88],"comprehensive":[90],"dataset":[91],"is":[92],"then":[93],"employed":[94],"as":[95],"input":[96],"training":[98],"MOGP":[100,109],"model.":[101],"Experimental":[102],"tests":[103],"demonstrate":[104],"usefulness":[106],"model":[110],"obtaining":[112],"accurate":[113],"LAI":[114],"series":[116],"even":[117],"during":[118],"very":[119],"cloudy":[120],"periods.":[121]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}