{"id":"https://openalex.org/W2900858315","doi":"https://doi.org/10.1109/igarss.2018.8517346","title":"Earth Science Deep Learning: Applications and Lessons Learned","display_name":"Earth Science Deep Learning: Applications and Lessons Learned","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2900858315","doi":"https://doi.org/10.1109/igarss.2018.8517346","mag":"2900858315"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8517346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ntrs.nasa.gov/api/citations/20180008578/downloads/20180008578.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002530990","display_name":"Manil Maskey","orcid":"https://orcid.org/0000-0002-5087-6903"},"institutions":[{"id":"https://openalex.org/I1294504835","display_name":"Marshall Space Flight Center","ror":"https://ror.org/02epydz83","country_code":"US","type":"facility","lineage":["https://openalex.org/I1294504835","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Manil Maskey","raw_affiliation_strings":["NASA Marshall Space Flight Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NASA Marshall Space Flight Center","institution_ids":["https://openalex.org/I1294504835"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010966122","display_name":"Rahul Ramachandran","orcid":"https://orcid.org/0000-0002-0647-1941"},"institutions":[{"id":"https://openalex.org/I1294504835","display_name":"Marshall Space Flight Center","ror":"https://ror.org/02epydz83","country_code":"US","type":"facility","lineage":["https://openalex.org/I1294504835","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Ramachandran","raw_affiliation_strings":["NASA Marshall Space Flight Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NASA Marshall Space Flight Center","institution_ids":["https://openalex.org/I1294504835"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023315163","display_name":"Jeffrey J. Miller","orcid":"https://orcid.org/0000-0003-2245-679X"},"institutions":[{"id":"https://openalex.org/I82495205","display_name":"University of Alabama in Huntsville","ror":"https://ror.org/02zsxwr40","country_code":"US","type":"education","lineage":["https://openalex.org/I82495205"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.J. Miller","raw_affiliation_strings":["University of Alabama in Huntsville"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alabama in Huntsville","institution_ids":["https://openalex.org/I82495205"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100360704","display_name":"Jia Zhang","orcid":"https://orcid.org/0000-0003-2148-0923"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jia Zhang","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032520715","display_name":"Iksha Gurung","orcid":"https://orcid.org/0000-0001-5124-8856"},"institutions":[{"id":"https://openalex.org/I82495205","display_name":"University of Alabama in Huntsville","ror":"https://ror.org/02zsxwr40","country_code":"US","type":"education","lineage":["https://openalex.org/I82495205"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Iksha Gurung","raw_affiliation_strings":["University of Alabama in Huntsville"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alabama in Huntsville","institution_ids":["https://openalex.org/I82495205"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002530990"],"corresponding_institution_ids":["https://openalex.org/I1294504835"],"apc_list":null,"apc_paid":null,"fwci":0.6769,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78380978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1760","last_page":"1763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9828000068664551,"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"}},"topics":[{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9828000068664551,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9708999991416931,"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.9042999744415283,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/earth","display_name":"Earth (classical element)","score":0.602985680103302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5463342070579529},{"id":"https://openalex.org/keywords/astrobiology","display_name":"Astrobiology","score":0.49880146980285645},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43710488080978394},{"id":"https://openalex.org/keywords/earth-science","display_name":"Earth science","score":0.3996121287345886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3493003249168396},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3297044336795807},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2362910509109497},{"id":"https://openalex.org/keywords/astronomy","display_name":"Astronomy","score":0.07166117429733276}],"concepts":[{"id":"https://openalex.org/C26148502","wikidata":"https://www.wikidata.org/wiki/Q2488752","display_name":"Earth (classical element)","level":2,"score":0.602985680103302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5463342070579529},{"id":"https://openalex.org/C87355193","wikidata":"https://www.wikidata.org/wiki/Q411","display_name":"Astrobiology","level":1,"score":0.49880146980285645},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43710488080978394},{"id":"https://openalex.org/C1965285","wikidata":"https://www.wikidata.org/wiki/Q8008","display_name":"Earth science","level":1,"score":0.3996121287345886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3493003249168396},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3297044336795807},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2362910509109497},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.07166117429733276},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2018.8517346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:casi.ntrs.nasa.gov:20180008578","is_oa":true,"landing_page_url":"http://hdl.handle.net/2060/20180008578","pdf_url":"https://ntrs.nasa.gov/api/citations/20180008578/downloads/20180008578.pdf","source":{"id":"https://openalex.org/S4377196257","display_name":"NASA STI Repository (National Aeronautics and Space Administration)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210124779","host_organization_name":"National Aeronautics and Space Administration","host_organization_lineage":["https://openalex.org/I4210124779"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CASI","raw_type":"MSFC-E-DAA-TN51352"}],"best_oa_location":{"id":"pmh:oai:casi.ntrs.nasa.gov:20180008578","is_oa":true,"landing_page_url":"http://hdl.handle.net/2060/20180008578","pdf_url":"https://ntrs.nasa.gov/api/citations/20180008578/downloads/20180008578.pdf","source":{"id":"https://openalex.org/S4377196257","display_name":"NASA STI Repository (National Aeronautics and Space Administration)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210124779","host_organization_name":"National Aeronautics and Space Administration","host_organization_lineage":["https://openalex.org/I4210124779"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CASI","raw_type":"MSFC-E-DAA-TN51352"},"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2900858315.pdf","grobid_xml":"https://content.openalex.org/works/W2900858315.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1538131130","https://openalex.org/W2003012803","https://openalex.org/W2072128103","https://openalex.org/W2078770669","https://openalex.org/W2108598243","https://openalex.org/W2163605009","https://openalex.org/W2613881683","https://openalex.org/W2753062663","https://openalex.org/W2766018291","https://openalex.org/W2803782762","https://openalex.org/W2889941078","https://openalex.org/W4231109964","https://openalex.org/W6632100814","https://openalex.org/W6676297131","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W1531601525","https://openalex.org/W1637585205","https://openalex.org/W3027684452","https://openalex.org/W3087128175","https://openalex.org/W3156371387","https://openalex.org/W2327420602","https://openalex.org/W1527673896"],"abstract_inverted_index":{"Deep":[0],"learning":[1,36],"has":[2,32],"revolutionized":[3],"computer":[4],"vision":[5],"and":[6,20,51],"natural":[7],"language":[8],"processing":[9],"with":[10],"various":[11],"algorithms":[12],"scaled":[13],"using":[14,34],"high-performance":[15],"computing.":[16],"The":[17],"Data":[18],"Science":[19],"Informatics":[21],"Group":[22],"(DSIG)":[23],"at":[24],"the":[25,49,56],"NASA":[26],"Marshall":[27],"Space":[28],"Flight":[29],"Center":[30],"(MSFC),":[31],"been":[33,60],"deep":[35],"for":[37],"a":[38],"variety":[39],"of":[40,48,55],"Earth":[41],"science":[42],"applications.":[43],"This":[44],"paper":[45],"provides":[46],"examples":[47],"applications":[50],"also":[52],"addresses":[53],"some":[54],"challenges":[57],"that":[58],"have":[59],"encountered.":[61]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
