{"id":"https://openalex.org/W3130561622","doi":"https://doi.org/10.1109/igarss39084.2020.9324712","title":"Advancements in the Open Data Cube and Analysis Ready Data \u2014 Past, Present and Future","display_name":"Advancements in the Open Data Cube and Analysis Ready Data \u2014 Past, Present and Future","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3130561622","doi":"https://doi.org/10.1109/igarss39084.2020.9324712","mag":"3130561622"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9324712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 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/A5021997499","display_name":"Brian Killough","orcid":null},"institutions":[{"id":"https://openalex.org/I1319063186","display_name":"Langley Research Center","ror":"https://ror.org/0399mhs52","country_code":"US","type":"facility","lineage":["https://openalex.org/I1319063186","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Brian Killough","raw_affiliation_strings":["NASA Langley Research Center"],"affiliations":[{"raw_affiliation_string":"NASA Langley Research Center","institution_ids":["https://openalex.org/I1319063186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017416815","display_name":"Andreia Siqueira","orcid":null},"institutions":[{"id":"https://openalex.org/I1331816111","display_name":"Geoscience Australia","ror":"https://ror.org/04ge02x20","country_code":"AU","type":"government","lineage":["https://openalex.org/I1331816111","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Andreia Siqueira","raw_affiliation_strings":["Geoscience,Australia","Geoscience, Australia"],"affiliations":[{"raw_affiliation_string":"Geoscience,Australia","institution_ids":["https://openalex.org/I1331816111"]},{"raw_affiliation_string":"Geoscience, Australia","institution_ids":["https://openalex.org/I1331816111"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112695881","display_name":"George Dyke","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"George Dyke","raw_affiliation_strings":["Symbios"],"affiliations":[{"raw_affiliation_string":"Symbios","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021997499"],"corresponding_institution_ids":["https://openalex.org/I1319063186"],"apc_list":null,"apc_paid":null,"fwci":3.6652,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.94774715,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3373","last_page":"3375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14280","display_name":"Big Data Technologies and Applications","score":0.9563000202178955,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14280","display_name":"Big Data Technologies and Applications","score":0.9563000202178955,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.9241999983787537,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9138000011444092,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.6978593468666077},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6633597612380981},{"id":"https://openalex.org/keywords/open-data","display_name":"Open data","score":0.5281484127044678},{"id":"https://openalex.org/keywords/cube","display_name":"Cube (algebra)","score":0.5062843561172485},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4105665683746338},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2639913260936737},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.25596287846565247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07869729399681091}],"concepts":[{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.6978593468666077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6633597612380981},{"id":"https://openalex.org/C2780535194","wikidata":"https://www.wikidata.org/wiki/Q309901","display_name":"Open data","level":2,"score":0.5281484127044678},{"id":"https://openalex.org/C53051483","wikidata":"https://www.wikidata.org/wiki/Q861555","display_name":"Cube (algebra)","level":2,"score":0.5062843561172485},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4105665683746338},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2639913260936737},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.25596287846565247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07869729399681091},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9324712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6200000047683716,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2605433586","https://openalex.org/W2773549323","https://openalex.org/W2901011788","https://openalex.org/W2901469020","https://openalex.org/W2983099966"],"related_works":["https://openalex.org/W2087724950","https://openalex.org/W2366586806","https://openalex.org/W2407777725","https://openalex.org/W1969639826","https://openalex.org/W1964212383","https://openalex.org/W1582972698","https://openalex.org/W2352476121","https://openalex.org/W2355987888","https://openalex.org/W2161001463","https://openalex.org/W2198278743"],"abstract_inverted_index":{"The":[0],"Open":[1],"Data":[2,139],"Cube":[3],"(ODC),":[4],"created":[5],"and":[6,35,44,64,68,106,134,166,174,186,191],"facilitated":[7],"by":[8,162],"the":[9,55,66,81,88,103,131,143,155,183,189],"Committee":[10],"on":[11],"Earth":[12,47],"Observation":[13],"Satellites":[14],"(CEOS),":[15],"is":[16,121,142],"an":[17],"open":[18],"source":[19],"software":[20],"architecture":[21],"that":[22],"supports":[23],"analysis-ready":[24],"satellite":[25],"data":[26,32,85,95,148],"packaged":[27],"into":[28],"\u201ccubes\u201d":[29],"to":[30,61,90],"minimize":[31],"preparation":[33],"complexity":[34],"take":[36],"advantage":[37],"of":[38,46,83,136,146,157,168,177,188],"modern":[39],"computing":[40],"for":[41,79,159],"increased":[42,164,175],"value":[43,156],"impact":[45],"observation":[48],"data.":[49],"Since":[50],"its":[51,69,107],"inception":[52],"in":[53,76,102,116,130],"2017,":[54],"ODC":[56,104,190],"has":[57,74],"fostered":[58],"a":[59,92,113],"community":[60],"develop,":[62],"sustain":[63],"grow":[65],"technology":[67],"applications.":[70],"Such":[71,151],"early":[72],"success":[73],"resulted":[75],"bold":[77],"goals":[78],"facilitating":[80],"implementation":[82],"country-level":[84],"cubes":[86],"around":[87],"world":[89],"achieve":[91],"virtual":[93],"global":[94,160],"cube":[96,149],"through":[97],"connected":[98],"regional":[99,114],"deployments.":[100],"Advancements":[101],"infrastructure":[105],"associated":[108],"application":[109],"algorithms":[110],"along":[111],"with":[112],"demonstration":[115],"Africa":[117],"suggest":[118],"this":[119],"goal":[120],"achievable.":[122],"In":[123],"addition,":[124],"there":[125],"are":[126],"also":[127],"considerable":[128],"advancements":[129,152],"specification,":[132],"production":[133],"use":[135,167,176],"Analysis":[137],"Ready":[138],"(ARD),":[140],"which":[141],"core":[144],"element":[145],"any":[147],"deployment.":[150],"will":[153],"optimize":[154],"ARD":[158,192],"users":[161],"demonstrating":[163],"access":[165],"diverse":[169],"datasets,":[170,173],"interoperability":[171],"between":[172],"machine":[178],"learning.":[179],"This":[180],"paper":[181],"summarizes":[182],"past,":[184],"present":[185],"future":[187],"initiatives.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2025-10-10T00:00:00"}
