{"id":"https://openalex.org/W4402260821","doi":"https://doi.org/10.1109/igarss53475.2024.10640375","title":"Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications","display_name":"Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402260821","doi":"https://doi.org/10.1109/igarss53475.2024.10640375"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10640375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10640375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 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/A5022033505","display_name":"Francisco Mena","orcid":"https://orcid.org/0000-0002-5004-6571"},"institutions":[{"id":"https://openalex.org/I2802076133","display_name":"University of Koblenz and Landau","ror":"https://ror.org/01j9f6752","country_code":"DE","type":"education","lineage":["https://openalex.org/I2802076133"]},{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Francisco Mena","raw_affiliation_strings":["University of Kaiserslautern-Landau (RPTU),Kaiserslautern,Germany"],"affiliations":[{"raw_affiliation_string":"University of Kaiserslautern-Landau (RPTU),Kaiserslautern,Germany","institution_ids":["https://openalex.org/I2802076133","https://openalex.org/I153267046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059348827","display_name":"Diego Arenas","orcid":"https://orcid.org/0000-0001-7829-6102"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Diego Arenas","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI),Kaiserslautern,Germany"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI),Kaiserslautern,Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008628120","display_name":"Marcela Charfuel\u00e0n","orcid":"https://orcid.org/0009-0005-6886-0415"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcela Charfuelan","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI),Kaiserslautern,Germany"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI),Kaiserslautern,Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013923731","display_name":"Marlon Nuske","orcid":"https://orcid.org/0000-0002-0651-0664"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marlon Nuske","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI),Kaiserslautern,Germany"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI),Kaiserslautern,Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101904182","display_name":"Andreas Dengel","orcid":"https://orcid.org/0000-0002-6100-8255"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]},{"id":"https://openalex.org/I2802076133","display_name":"University of Koblenz and Landau","ror":"https://ror.org/01j9f6752","country_code":"DE","type":"education","lineage":["https://openalex.org/I2802076133"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Dengel","raw_affiliation_strings":["University of Kaiserslautern-Landau (RPTU),Kaiserslautern,Germany"],"affiliations":[{"raw_affiliation_string":"University of Kaiserslautern-Landau (RPTU),Kaiserslautern,Germany","institution_ids":["https://openalex.org/I2802076133","https://openalex.org/I153267046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022033505"],"corresponding_institution_ids":["https://openalex.org/I153267046","https://openalex.org/I2802076133"],"apc_list":null,"apc_paid":null,"fwci":1.0863,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74353132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"967","last_page":"971"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9929999709129333,"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"}},"topics":[{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9929999709129333,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9907000064849854,"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/T13067","display_name":"Geological Modeling and Analysis","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5628610849380493},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5362723469734192},{"id":"https://openalex.org/keywords/earth-observation","display_name":"Earth observation","score":0.4299914538860321},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.42954036593437195},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32700246572494507},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.26406800746917725},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1415414810180664},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13219520449638367},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.11686939001083374},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07876262068748474}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5628610849380493},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5362723469734192},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.4299914538860321},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.42954036593437195},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32700246572494507},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.26406800746917725},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1415414810180664},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13219520449638367},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.11686939001083374},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07876262068748474},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10640375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10640375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.8100000023841858,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2943325261","https://openalex.org/W3022895944","https://openalex.org/W3048631361","https://openalex.org/W3102692100","https://openalex.org/W4220917101","https://openalex.org/W4317500271","https://openalex.org/W4367597985","https://openalex.org/W4386707824","https://openalex.org/W4387801818","https://openalex.org/W4391468031"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2357875252","https://openalex.org/W126533163","https://openalex.org/W2507965015","https://openalex.org/W4380629442","https://openalex.org/W1994815372","https://openalex.org/W2249146193","https://openalex.org/W3020946232","https://openalex.org/W3039495454","https://openalex.org/W2980322467"],"abstract_inverted_index":{"Earth":[0],"observation":[1],"(EO)":[2],"applications":[3],"involving":[4],"complex":[5],"and":[6,56,68,79],"heterogeneous":[7],"data":[8,24],"sources":[9,25,59],"are":[10,83,107],"commonly":[11],"approached":[12],"with":[13,66],"machine":[14],"learning":[15],"models.":[16],"However,":[17],"there":[18],"is":[19,123,130],"a":[20,96],"common":[21],"assumption":[22],"that":[23,81,104,119],"will":[26],"be":[27],"persistently":[28],"available.":[29],"Different":[30],"situations":[31],"could":[32],"affect":[33],"the":[34,51,73,120,124],"availability":[35],"of":[36,53,76],"EO":[37,58],"sources,":[38],"like":[39],"noise,":[40],"clouds,":[41],"or":[42],"satellite":[43],"mission":[44],"failures.":[45],"In":[46],"this":[47],"work,":[48],"we":[49,117],"assess":[50],"impact":[52],"missing":[54,88,105,131],"temporal":[55],"static":[57],"in":[60,93,111],"trained":[61],"models":[62],"across":[63],"four":[64],"datasets":[65],"classification":[67,114],"regression":[69,112],"tasks.":[70,115],"We":[71,102],"compare":[72],"predictive":[74],"quality":[75],"different":[77],"methods":[78],"find":[80,118],"some":[82],"naturally":[84],"more":[85,109],"robust":[86],"to":[87,100],"data.":[89],"The":[90],"Ensemble":[91],"strategy,":[92],"particular,":[94],"achieves":[95],"prediction":[97],"robustness":[98],"up":[99],"100%.":[101],"evidence":[103],"scenarios":[106],"significantly":[108],"challenging":[110],"than":[113],"Finally,":[116],"optical":[121],"view":[122,127],"most":[125],"critical":[126],"when":[128],"it":[129],"individually.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2024-09-06T00:00:00"}