{"id":"https://openalex.org/W2810242891","doi":"https://doi.org/10.3390/rs10071058","title":"Fusion of Moderate Resolution Earth Observations for Operational Crop Type Mapping","display_name":"Fusion of Moderate Resolution Earth Observations for Operational Crop Type Mapping","publication_year":2018,"publication_date":"2018-07-04","ids":{"openalex":"https://openalex.org/W2810242891","doi":"https://doi.org/10.3390/rs10071058","mag":"2810242891"},"language":"en","primary_location":{"id":"doi:10.3390/rs10071058","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10071058","pdf_url":"https://www.mdpi.com/2072-4292/10/7/1058/pdf?version=1530694392","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/10/7/1058/pdf?version=1530694392","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088733940","display_name":"Nathan Torbick","orcid":"https://orcid.org/0000-0002-4165-0910"},"institutions":[{"id":"https://openalex.org/I4210116398","display_name":"Applied GeoSolutions (United States)","ror":"https://ror.org/02gnmy268","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116398"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nathan Torbick","raw_affiliation_strings":["Applied Geosolutions, 15 Newmarket Rd, Durham, NH 03824, USA"],"affiliations":[{"raw_affiliation_string":"Applied Geosolutions, 15 Newmarket Rd, Durham, NH 03824, USA","institution_ids":["https://openalex.org/I4210116398"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016410509","display_name":"Xiaodong Huang","orcid":"https://orcid.org/0000-0002-3573-718X"},"institutions":[{"id":"https://openalex.org/I4210116398","display_name":"Applied GeoSolutions (United States)","ror":"https://ror.org/02gnmy268","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116398"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodong Huang","raw_affiliation_strings":["Applied Geosolutions, 15 Newmarket Rd, Durham, NH 03824, USA"],"affiliations":[{"raw_affiliation_string":"Applied Geosolutions, 15 Newmarket Rd, Durham, NH 03824, USA","institution_ids":["https://openalex.org/I4210116398"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044162621","display_name":"Beth Ziniti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116398","display_name":"Applied GeoSolutions (United States)","ror":"https://ror.org/02gnmy268","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116398"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Beth Ziniti","raw_affiliation_strings":["Applied Geosolutions, 15 Newmarket Rd, Durham, NH 03824, USA"],"affiliations":[{"raw_affiliation_string":"Applied Geosolutions, 15 Newmarket Rd, Durham, NH 03824, USA","institution_ids":["https://openalex.org/I4210116398"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077318052","display_name":"David M. Johnson","orcid":"https://orcid.org/0000-0002-1505-6723"},"institutions":[{"id":"https://openalex.org/I1287640093","display_name":"National Agricultural Statistics Service","ror":"https://ror.org/04dpymk59","country_code":"US","type":"government","lineage":["https://openalex.org/I1287640093","https://openalex.org/I1336096307"]},{"id":"https://openalex.org/I1336096307","display_name":"United States Department of Agriculture","ror":"https://ror.org/01na82s61","country_code":"US","type":"government","lineage":["https://openalex.org/I1336096307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Johnson","raw_affiliation_strings":["United States Department of Agriculture, National Agricultural Statistics Service, 1400 Independence Ave., SW, Washington, DC 20250, USA"],"affiliations":[{"raw_affiliation_string":"United States Department of Agriculture, National Agricultural Statistics Service, 1400 Independence Ave., SW, Washington, DC 20250, USA","institution_ids":["https://openalex.org/I1287640093","https://openalex.org/I1336096307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109810154","display_name":"Jeff Masek","orcid":null},"institutions":[{"id":"https://openalex.org/I1306266525","display_name":"Goddard Space Flight Center","ror":"https://ror.org/0171mag52","country_code":"US","type":"facility","lineage":["https://openalex.org/I1306266525","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeff Masek","raw_affiliation_strings":["NASA Goddard Space Flight Center, 8800 Greenbelt Rd, Greenbelt, MD 20771, USA"],"affiliations":[{"raw_affiliation_string":"NASA Goddard Space Flight Center, 8800 Greenbelt Rd, Greenbelt, MD 20771, USA","institution_ids":["https://openalex.org/I1306266525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061320234","display_name":"Michele L. Reba","orcid":"https://orcid.org/0000-0001-6830-0438"},"institutions":[{"id":"https://openalex.org/I4210117108","display_name":"Delta Water Management Research Unit","ror":"https://ror.org/0257x6t90","country_code":"US","type":"government","lineage":["https://openalex.org/I4210117108"]},{"id":"https://openalex.org/I1336096307","display_name":"United States Department of Agriculture","ror":"https://ror.org/01na82s61","country_code":"US","type":"government","lineage":["https://openalex.org/I1336096307"]},{"id":"https://openalex.org/I1312222531","display_name":"Agricultural Research Service","ror":"https://ror.org/02d2m2044","country_code":"US","type":"government","lineage":["https://openalex.org/I1312222531","https://openalex.org/I1336096307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michele Reba","raw_affiliation_strings":["United States Department of Agriculture, Agricultural Research Service, Delta Water Management Research Unit, 504 University Loop E, Jonesboro, AR 72401, USA"],"affiliations":[{"raw_affiliation_string":"United States Department of Agriculture, Agricultural Research Service, Delta Water Management Research Unit, 504 University Loop E, Jonesboro, AR 72401, USA","institution_ids":["https://openalex.org/I4210117108","https://openalex.org/I1336096307","https://openalex.org/I1312222531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5088733940"],"corresponding_institution_ids":["https://openalex.org/I4210116398"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":5.7176,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.96163821,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"7","first_page":"1058","last_page":"1058"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9988999962806702,"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":0.9988999962806702,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9916999936103821,"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/remote-sensing","display_name":"Remote sensing","score":0.5908679366111755},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4769138991832733},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.43199974298477173},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.34398365020751953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.22596043348312378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.051666438579559326}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5908679366111755},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4769138991832733},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.43199974298477173},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.34398365020751953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.22596043348312378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.051666438579559326}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs10071058","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10071058","pdf_url":"https://www.mdpi.com/2072-4292/10/7/1058/pdf?version=1530694392","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:711f05e0167349aa98755aebf133e357","is_oa":true,"landing_page_url":"https://doaj.org/article/711f05e0167349aa98755aebf133e357","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 10, Iss 7, p 1058 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/10/7/1058/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs10071058","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 10; Issue 7; Pages: 1058","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs10071058","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10071058","pdf_url":"https://www.mdpi.com/2072-4292/10/7/1058/pdf?version=1530694392","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2810242891.pdf","grobid_xml":"https://content.openalex.org/works/W2810242891.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1875061881","https://openalex.org/W1918409236","https://openalex.org/W1937038811","https://openalex.org/W1948133483","https://openalex.org/W1949910136","https://openalex.org/W1967542684","https://openalex.org/W1996905547","https://openalex.org/W2002908628","https://openalex.org/W2008085934","https://openalex.org/W2014158985","https://openalex.org/W2021662310","https://openalex.org/W2025745000","https://openalex.org/W2056251274","https://openalex.org/W2057330951","https://openalex.org/W2063623478","https://openalex.org/W2075001972","https://openalex.org/W2091897928","https://openalex.org/W2105954673","https://openalex.org/W2109606373","https://openalex.org/W2117189556","https://openalex.org/W2138751033","https://openalex.org/W2142196438","https://openalex.org/W2151456308","https://openalex.org/W2169087452","https://openalex.org/W2171659470","https://openalex.org/W2273147317","https://openalex.org/W2332354772","https://openalex.org/W2334147809","https://openalex.org/W2344328155","https://openalex.org/W2414117070","https://openalex.org/W2578830027","https://openalex.org/W2585309444","https://openalex.org/W2594466018","https://openalex.org/W2604086375","https://openalex.org/W2605847660","https://openalex.org/W2734629852","https://openalex.org/W2757797739","https://openalex.org/W2766727660","https://openalex.org/W2769642400","https://openalex.org/W2769677729","https://openalex.org/W2787894218","https://openalex.org/W2911964244","https://openalex.org/W6636950212","https://openalex.org/W6715652707","https://openalex.org/W6998928698"],"related_works":["https://openalex.org/W2324615561","https://openalex.org/W2086120259","https://openalex.org/W2245170124","https://openalex.org/W2076393078","https://openalex.org/W3186982001","https://openalex.org/W1984402782","https://openalex.org/W2137941439","https://openalex.org/W2004200960","https://openalex.org/W1999891779","https://openalex.org/W2029513011"],"abstract_inverted_index":{"Crop":[0],"type":[1,137],"inventory":[2],"and":[3,26,47,82,85,145,157,166,186,203,215,235,240,251],"within":[4,168,189,247],"season":[5,190,248],"estimates":[6,253],"at":[7,177,199],"moderate":[8,231],"(&lt;30":[9],"m)":[10],"resolution":[11,232],"have":[12],"been":[13],"elusive":[14],"in":[15,88,108,113,225],"many":[16],"regions":[17,112,214],"due":[18],"to":[19,74,160,207],"the":[20,34,98,140,158,169,192,204,226],"lack":[21],"of":[22,37,69,100,124,194,228,238],"temporal":[23,217],"frequency,":[24],"clouds,":[25],"restrictive":[27],"data":[28,87,196,233,242],"policies.":[29],"New":[30],"opportunities":[31],"exist":[32],"from":[33,139],"operational":[35],"fusion":[36],"Landsat-8":[38,77],"Operational":[39],"Land":[40],"Imager":[41],"(OLI),":[42],"Sentinel-2":[43,78],"(A":[44,49],"&amp;":[45,50],"B),":[46],"Sentinel-1":[48,80],"B)":[51],"which":[52],"provide":[53,161,243],"more":[54],"frequent":[55],"open":[56],"access":[57],"observations":[58,103],"now":[59],"that":[60,254],"these":[61,101,125],"satellites":[62],"are":[63],"fully":[64],"operating.":[65],"The":[66,149,223],"overarching":[67],"goal":[68],"this":[70],"research":[71],"application":[72],"was":[73,197],"compare":[75],"Harmonized":[76],"(HLS),":[79],"(S1),":[81],"combined":[83],"radar":[84,241],"optical":[86,239],"an":[89],"operational,":[90],"near-real-time":[91],"(within":[92],"24":[93],"h)":[94],"context.":[95],"We":[96],"evaluated":[97],"ability":[99,159],"Earth":[102],"(EO)":[104],"across":[105],"major":[106],"crops":[107],"four":[109],"case":[110],"study":[111],"United":[114],"States":[115],"(US)":[116],"production":[117],"hot":[118],"spots.":[119],"Hindcast":[120],"time":[121,229],"series":[122],"combinations":[123],"EO":[126],"were":[127],"fed":[128],"into":[129],"random":[130],"forest":[131],"classifiers":[132],"trained":[133],"with":[134,174],"crop":[135,164,170,201,249],"cover":[136],"information":[138],"Cropland":[141],"Data":[142],"Layer":[143],"(CDL)":[144],"ancillary":[146],"ground":[147],"truth.":[148],"outcomes":[150],"show":[151],"HLS":[152,172],"achieved":[153],"high":[154],"(&gt;85%)":[155],"accuracies":[156,205],"insight":[162],"on":[163],"location":[165],"extent":[167],"season.":[171],"fused":[173,195],"S1":[175,219],"had,":[176],"times,":[178,200],"a":[179,244],"higher":[180],"accuracy":[181,185],"(5\u201310%":[182],"relative":[183],"overall":[184],"kappa":[187],"increases)":[188],"although":[191],"combination":[193],"minimal":[198],"dependent,":[202],"tended":[206],"converge":[208],"by":[209],"harvest.":[210],"In":[211],"cloud":[212],"prone":[213],"certain":[216],"periods,":[218],"performed":[220],"well":[221],"overall.":[222],"growth":[224],"availability":[227],"dense":[230],"streams":[234],"different":[236],"sensitivities":[237],"mechanism":[245],"for":[246],"mapping":[250],"area":[252],"can":[255],"help":[256],"improve":[257],"food":[258],"security.":[259]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
