{"id":"https://openalex.org/W4312558365","doi":"https://doi.org/10.1109/igarss46834.2022.9884059","title":"Developing Entropies of Predictive Cropland Data Layers for Crop Survey Imputation","display_name":"Developing Entropies of Predictive Cropland Data Layers for Crop Survey Imputation","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312558365","doi":"https://doi.org/10.1109/igarss46834.2022.9884059"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884059","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 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/A5059476199","display_name":"Luca Sartore","orcid":"https://orcid.org/0000-0002-0446-1328"},"institutions":[{"id":"https://openalex.org/I4210134730","display_name":"National Institute of Statistical Sciences","ror":"https://ror.org/03kcsjh25","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210134730"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Luca Sartore","raw_affiliation_strings":["National Institute of Statistical Sciences"],"affiliations":[{"raw_affiliation_string":"National Institute of Statistical Sciences","institution_ids":["https://openalex.org/I4210134730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058756914","display_name":"Claire G. Boryan","orcid":null},"institutions":[{"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/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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Claire G. Boryan","raw_affiliation_strings":["National Agricultural Statistics Service,United States Department of Agriculture"],"affiliations":[{"raw_affiliation_string":"National Agricultural Statistics Service,United States Department of Agriculture","institution_ids":["https://openalex.org/I1287640093","https://openalex.org/I1336096307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088173508","display_name":"Patrick Willis","orcid":null},"institutions":[{"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/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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patrick Willis","raw_affiliation_strings":["National Agricultural Statistics Service,United States Department of Agriculture"],"affiliations":[{"raw_affiliation_string":"National Agricultural Statistics Service,United States Department of Agriculture","institution_ids":["https://openalex.org/I1287640093","https://openalex.org/I1336096307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059476199"],"corresponding_institution_ids":["https://openalex.org/I4210134730"],"apc_list":null,"apc_paid":null,"fwci":0.839,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70760234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1404","last_page":"1407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10439","display_name":"Climate change impacts on agriculture","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10439","display_name":"Climate change impacts on agriculture","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9869999885559082,"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/T10733","display_name":"Wheat and Barley Genetics and Pathology","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.6973016262054443},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5332258343696594},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5098244547843933},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5027551651000977},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4546397924423218},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4433539807796478},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.4425988495349884},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.4180573523044586},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.360734224319458},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2721055746078491},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.24879199266433716},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12022173404693604}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.6973016262054443},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5332258343696594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5098244547843933},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5027551651000977},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4546397924423218},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4433539807796478},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4425988495349884},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.4180573523044586},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.360734224319458},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2721055746078491},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.24879199266433716},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12022173404693604},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884059","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.4300000071525574,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2008085934","https://openalex.org/W2582101906","https://openalex.org/W2978864577","https://openalex.org/W2981691152","https://openalex.org/W3131122836","https://openalex.org/W3182299891","https://openalex.org/W4210699701"],"related_works":["https://openalex.org/W4211215373","https://openalex.org/W3217094455","https://openalex.org/W2989589450","https://openalex.org/W3119637569","https://openalex.org/W2405773734","https://openalex.org/W2791189374","https://openalex.org/W3123325766","https://openalex.org/W2058928557","https://openalex.org/W2374234271","https://openalex.org/W3208043357"],"abstract_inverted_index":{"A":[0],"novel":[1],"approach":[2,114],"for":[3,17,75,78,101,120,143,152],"crop-specific":[4,33],"prediction":[5,104],"of":[6,13,40,61,136,150],"future":[7,153],"crop":[8,26,66],"planting":[9,34],"and":[10,48,124,148],"the":[11,36,59,65,84,91,103,106,110,144],"development":[12],"corresponding":[14],"uncertainty":[15,62],"measures":[16],"all":[18],"predictions":[19],"is":[20,87,94],"proposed.":[21],"Using":[22],"transition":[23],"probabilities,":[24],"predictive":[25],"categories":[27],"are":[28,45],"first":[29],"developed":[30,46],"to":[31,52,72,97,108],"predict":[32],"in":[35],"pilot":[37],"study":[38],"state":[39],"Illinois.":[41],"Corresponding":[42],"entropy":[43],"layers":[44],"concurrently":[47],"can":[49,115],"be":[50,73,109],"used":[51],"flag":[53],"survey":[54,70,99,122],"sample":[55,145],"units":[56,71,100],"based":[57,81],"on":[58,82],"level":[60],"associated":[63],"with":[64],"predictions.":[67],"This":[68,113,139],"allows":[69],"prioritized":[74],"imputation":[76],"or":[77,132],"data":[79],"collection":[80],"whether":[83],"predicted":[85,92],"value":[86],"sufficiently":[88,111],"reliable.":[89],"Further,":[90],"acreage":[93],"assigned":[95],"only":[96],"those":[98],"which":[102],"has":[105,140],"potential":[107],"accurate.":[112],"provide":[116],"a":[117],"solid":[118],"methodology":[119],"reducing":[121],"costs":[123],"farmer":[125],"response":[126],"burdens":[127],"without":[128],"introducing":[129],"estimation":[130],"bias":[131],"incurring":[133],"severe":[134],"losses":[135],"statistical":[137],"efficiency.":[138],"far-reaching":[141],"implications":[142],"design,":[146],"quality,":[147],"timeliness":[149],"results":[151],"surveys.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
