{"id":"https://openalex.org/W7083671141","doi":"https://doi.org/10.5281/zenodo.17218027","title":"A High-Resolution Crop Parcel Dataset for Anhui Province, China (2024) - Part 2 of 2","display_name":"A High-Resolution Crop Parcel Dataset for Anhui Province, China (2024) - Part 2 of 2","publication_year":2025,"publication_date":"2025-09-29","ids":{"openalex":"https://openalex.org/W7083671141","doi":"https://doi.org/10.5281/zenodo.17218027"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.17218027","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.17218027","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.17218027","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhu, Yu","orcid":"https://orcid.org/0000-0002-3405-0909"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhu, Yu","raw_affiliation_strings":["Beijing Normal University"],"raw_orcid":"https://orcid.org/0000-0002-3405-0909","affiliations":[{"raw_affiliation_string":"Beijing Normal University","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6560999751091003,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6560999751091003,"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/T13067","display_name":"Geological Modeling and Analysis","score":0.026499999687075615,"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"}},{"id":"https://openalex.org/T14311","display_name":"Electrical and Electromagnetic Research","score":0.019999999552965164,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.7656999826431274},{"id":"https://openalex.org/keywords/crop","display_name":"Crop","score":0.4941999912261963},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4643999934196472},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4641999900341034},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.44209998846054077},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.37540000677108765}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.7656999826431274},{"id":"https://openalex.org/C137580998","wikidata":"https://www.wikidata.org/wiki/Q235352","display_name":"Crop","level":2,"score":0.4941999912261963},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4643999934196472},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4641999900341034},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4438000023365021},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.44209998846054077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4099000096321106},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3961000144481659},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.37540000677108765},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36070001125335693},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.34150001406669617},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.2766999900341034},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.27000001072883606},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.26010000705718994}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.17218027","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.17218027","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.17218027","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.17218027","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"score":0.5981002449989319,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,57,128],"data":[1,29,43],"record":[2,44,129],"contains":[3,48],"the":[4,33,38,119,131,135,137],"second":[5,132],"of":[6,134],"a":[7,13,67,96],"two-part":[8],"set":[9],"that":[10],"together":[11],"form":[12],"complete":[14],"high-resolution":[15],"crop":[16,111],"parcel":[17,139],"dataset":[18,58,121],"for":[19,87],"Anhui":[20],"Province,":[21],"China.":[22],"It":[23],"is":[24,75],"essential":[25],"to":[26,36,61,103,108,114],"use":[27],"this":[28],"in":[30,66,77],"conjunction":[31],"with":[32],"first":[34],"part":[35],"access":[37],"full":[39,120],"dataset.":[40],"The":[41,73],"primary":[42],"(Part":[45],"1),":[46],"which":[47],"parcel_1.zip":[49],"and":[50,69,90,142],"image_1.rar,":[51],"can":[52],"be":[53],"accessed":[54],"here:":[55],"[https://zenodo.org/uploads/17218024].":[56],"was":[59,101,122],"created":[60],"facilitate":[62],"advanced":[63],"geospatial":[64],"analysis":[65],"critical":[68],"diverse":[70],"agricultural":[71],"region.":[72],"methodology":[74],"detailed":[76],"our":[78],"publication,":[79],"\"PT-PEFT":[80],"SAM:":[81],"A":[82],"Hierarchical":[83],"Foundation":[84],"Model":[85],"Framework":[86],"Generalizable":[88],"Agricultural":[89],"Crop":[91],"Parcel":[92],"Delineation\"":[93],",":[94],"where":[95],"novel":[97],"deep":[98],"learning":[99],"framework":[100],"applied":[102],"2-meter":[104,145],"super-resolved":[105],"Sentinel-2":[106],"imagery":[107,147],"delineate":[109],"fine-grained":[110],"parcels.":[112],"Due":[113],"Zenodo's":[115],"file":[116],"size":[117],"limits,":[118],"split":[123],"into":[124],"two":[125],"corresponding":[126,144],"halves.":[127],"provides":[130],"half":[133],"data:":[136],"vector":[138],"archive":[140],"(parcel_2.zip)":[141],"its":[143],"super-resolution":[146],"(image_2.rar).":[148]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
