{"id":"https://openalex.org/W6930734429","doi":"https://doi.org/10.5281/zenodo.13943679","title":"GCL_FCS30: a global coastline dataset with 30-m resolution and a fine classification system from 2010 to 2020","display_name":"GCL_FCS30: a global coastline dataset with 30-m resolution and a fine classification system from 2010 to 2020","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W6930734429","doi":"https://doi.org/10.5281/zenodo.13943679"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.13943679","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.13943679","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.13943679","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhang, Li","orcid":"https://orcid.org/0000-0002-5880-7507"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhang, Li","raw_affiliation_strings":["Aerospace Information Research Institute"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zuo, Jian","orcid":"https://orcid.org/0000-0002-1187-9896"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuo, Jian","raw_affiliation_strings":["Aerospace Information Research Institute"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chen, Bowei","orcid":"https://orcid.org/0000-0002-6377-1094"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen, Bowei","raw_affiliation_strings":["Aerospace Information Research Institute"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hu, Yingwen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu, Yingwen","raw_affiliation_strings":["Aerospace Information Research Institute"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wang, Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang, Yang","raw_affiliation_strings":["Aerospace Information Research Institute"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Li, Kaixin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li, Kaixin","raw_affiliation_strings":["Aerospace Information Research Institute"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xie, Zhuoguan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xie, Zhuoguan","raw_affiliation_strings":["Aerospace Information Research Institute"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shao, Yong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shao, Yong","raw_affiliation_strings":["Aerospace Information Research Institute"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tian, Xuan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian, Xuan","raw_affiliation_strings":["Aerospace Information Research Institute"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute","institution_ids":["https://openalex.org/I4210137199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210137199"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"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/T10755","display_name":"HER2/EGFR in Cancer Research","score":0.47209998965263367,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10755","display_name":"HER2/EGFR in Cancer Research","score":0.47209998965263367,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10929","display_name":"Wnt/\u03b2-catenin signaling in development and cancer","score":0.050700001418590546,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11016","display_name":"Monoclonal and Polyclonal Antibodies Research","score":0.04450000077486038,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5256999731063843},{"id":"https://openalex.org/keywords/transect","display_name":"Transect","score":0.46889999508857727},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42879998683929443},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4034000039100647},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.39149999618530273},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.3783999979496002},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.3714999854564667},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.364300012588501}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5792999863624573},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5256999731063843},{"id":"https://openalex.org/C69661492","wikidata":"https://www.wikidata.org/wiki/Q1447141","display_name":"Transect","level":2,"score":0.46889999508857727},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42879998683929443},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4101000130176544},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4034000039100647},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.39149999618530273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3804999887943268},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.3783999979496002},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.3714999854564667},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.364300012588501},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.3521000146865845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.335999995470047},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.3122999966144562},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.3102000057697296},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2791000008583069},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.2728999853134155},{"id":"https://openalex.org/C88160329","wikidata":"https://www.wikidata.org/wiki/Q47053","display_name":"Estuary","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.26170000433921814},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.25589999556541443}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.13943679","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.13943679","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.13943679","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.13943679","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":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.880027711391449}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"A":[0],"Global":[1],"CoastLine":[2],"Dataset":[3],"(GCL_FCS30)":[4],"with":[5,81],"a":[6,36,71,77],"detailed":[7],"classification":[8,67],"system,":[9],"including":[10],"categories":[11],"for":[12,27],"(0)":[13],"artificial,":[14],"(1)":[15],"biogenic,":[16],"(2)":[17],"sandy,":[18],"(3)":[19],"muddy,":[20],"(4)":[21],"rocky,":[22],"and":[23,30,60],"(5)":[24],"estuary":[25],"coastlines":[26],"2010,":[28],"2015,":[29],"2020.":[31],"The":[32,65],"coastline":[33,66],"extraction":[34],"employed":[35],"combined":[37],"algorithm":[38,80],"incorporating":[39],"the":[40,54,61],"Modified":[41],"Normalized":[42],"Difference":[43],"Water":[44],"Index":[45],"(MNDWI),":[46],"an":[47],"adaptive":[48],"threshold":[49],"segmentation":[50],"method":[51],"based":[52],"on":[53],"Maximum":[55],"Between-Class":[56],"Variance":[57],"Method":[58],"(OTSU),":[59],"Canny":[62],"edge":[63],"detector.":[64],"was":[68],"performed":[69],"using":[70],"hybrid":[72],"transect":[73],"classifier":[74],"that":[75],"integrates":[76],"random":[78],"forest":[79],"globally":[82],"stable":[83],"training":[84],"samples":[85],"derived":[86],"from":[87],"multi-source":[88],"geophysical":[89],"data.":[90]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}