{"id":"https://openalex.org/W7138996245","doi":"https://doi.org/10.48550/arxiv.2603.16429","title":"LenghuSky-8: An 8-Year All-Sky Cloud Dataset with Star-Aware Masks and Alt-Az Calibration for Segmentation and Nowcasting","display_name":"LenghuSky-8: An 8-Year All-Sky Cloud Dataset with Star-Aware Masks and Alt-Az Calibration for Segmentation and Nowcasting","publication_year":2026,"publication_date":"2026-03-17","ids":{"openalex":"https://openalex.org/W7138996245","doi":"https://doi.org/10.48550/arxiv.2603.16429"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.16429","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.16429","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.16429","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129911673","display_name":"Yicheng Rui","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rui, Yicheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102931876","display_name":"Xiao-Wei Duan","orcid":"https://orcid.org/0000-0002-6573-6719"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duan, Xiao-Wei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037075801","display_name":"L. Deng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deng, Licai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129879581","display_name":"Fan Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Fan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129824078","display_name":"Zhengming Dang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dang, Zhengming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129866599","display_name":"Zhengjun Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Zhengjun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130149336","display_name":"Junhao Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Junhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129827668","display_name":"Wenhao Chu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chu, Wenhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093718159","display_name":"Umut Mahmut","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahmut, Umut","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129881493","display_name":"Kexin Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Kexin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129964875","display_name":"Yiyun Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Yiyun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129960033","display_name":"Fabo Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Fabo","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5129911673"],"corresponding_institution_ids":[],"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":false,"primary_topic":{"id":"https://openalex.org/T11323","display_name":"Gamma-ray bursts and supernovae","score":0.18950000405311584,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11323","display_name":"Gamma-ray bursts and supernovae","score":0.18950000405311584,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.11680000275373459,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.044199999421834946,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nowcasting","display_name":"Nowcasting","score":0.8191999793052673},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6686000227928162},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6115999817848206},{"id":"https://openalex.org/keywords/observatory","display_name":"Observatory","score":0.5307999849319458},{"id":"https://openalex.org/keywords/bundle-adjustment","display_name":"Bundle adjustment","score":0.5139999985694885},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.499099999666214},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4921000003814697},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4887000024318695}],"concepts":[{"id":"https://openalex.org/C2781013037","wikidata":"https://www.wikidata.org/wiki/Q1433331","display_name":"Nowcasting","level":2,"score":0.8191999793052673},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6686000227928162},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6413000226020813},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6115999817848206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6031000018119812},{"id":"https://openalex.org/C2779919027","wikidata":"https://www.wikidata.org/wiki/Q62832","display_name":"Observatory","level":2,"score":0.5307999849319458},{"id":"https://openalex.org/C179458375","wikidata":"https://www.wikidata.org/wiki/Q1020763","display_name":"Bundle adjustment","level":3,"score":0.5139999985694885},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.499099999666214},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4921000003814697},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4887000024318695},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4869999885559082},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4397999942302704},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43860000371932983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.424699991941452},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39820000529289246},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.3370000123977661},{"id":"https://openalex.org/C2780848835","wikidata":"https://www.wikidata.org/wiki/Q4213","display_name":"Telescope","level":2,"score":0.3278999924659729},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3131999969482422},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2718000113964081}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.16429","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.16429","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.16429","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.16429","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Ground-based":[0],"time-domain":[1],"observatories":[2],"require":[3],"minute-by-minute,":[4],"site-scale":[5],"awareness":[6],"of":[7,87,105,164],"cloud":[8,46,57,166],"cover,":[9],"yet":[10],"existing":[11],"all-sky":[12,27],"datasets":[13],"are":[14],"short,":[15],"daylight-biased,":[16],"or":[17],"lack":[18],"astrometric":[19],"calibration.":[20,54],"We":[21,168],"present":[22],"LenghuSky-8,":[23],"an":[24,174],"eight-year":[25],"(2018-2025)":[26],"imaging":[28],"dataset":[29],"from":[30],"a":[31,67,82,129],"premier":[32],"astronomical":[33],"site,":[34],"comprising":[35],"429,620":[36],"$512":[37],"\\times":[38],"512$":[39],"frames":[40],"with":[41,122,138],"81.2%":[42],"night-time":[43],"coverage,":[44],"star-aware":[45],"masks,":[47,49],"background":[48],"and":[50,62,74,101,111,149,173,180,190],"per-pixel":[51,134],"altitude-azimuth":[52],"(Alt-Az)":[53],"For":[55],"robust":[56],"segmentation":[58],"across":[59],"day,":[60],"night,":[61],"lunar":[63],"phases,":[64],"we":[65,93,127],"train":[66],"linear":[68],"probe":[69],"on":[70,81],"DINOv3":[71],"local":[72,98],"features":[73],"obtain":[75],"93.3%":[76],"$\\pm$":[77],"1.1%":[78],"overall":[79],"accuracy":[80],"balanced,":[83],"manually":[84],"labeled":[85],"set":[86],"1,111":[88],"images.":[89],"Using":[90],"stellar":[91],"astrometry,":[92],"map":[94],"each":[95],"pixel":[96],"to":[97,184],"alt-az":[99,182],"coordinates":[100],"measure":[102],"calibration":[103],"uncertainties":[104],"approximately":[106,112],"0.37":[107],"deg":[108,114,117],"at":[109,115],"zenith":[110],"1.34":[113],"30":[116],"altitude,":[118],"sufficient":[119],"for":[120,177],"integration":[121],"telescope":[123],"schedulers.":[124],"Beyond":[125],"segmentation,":[126,188],"introduce":[128],"short-horizon":[130],"nowcasting":[131],"benchmark":[132],"over":[133,159],"three-class":[135],"logits":[136],"(sky/cloud/contamination)":[137],"four":[139],"baselines:":[140],"persistence":[141],"(copying":[142],"the":[143,162,170],"last":[144],"frame),":[145],"optical":[146],"flow,":[147],"ConvLSTM,":[148],"VideoGPT.":[150],"ConvLSTM":[151],"performs":[152],"best":[153],"but":[154],"yields":[155],"only":[156],"limited":[157],"gains":[158],"persistence,":[160],"underscoring":[161],"difficulty":[163],"near-term":[165],"evolution.":[167],"release":[169],"dataset,":[171],"calibrations,":[172],"open-source":[175],"toolkit":[176],"loading,":[178],"evaluation,":[179],"scheduler-ready":[181],"maps":[183],"boost":[185],"research":[186],"in":[187],"nowcasting,":[189],"autonomous":[191],"observatory":[192],"operations.":[193]},"counts_by_year":[],"updated_date":"2026-03-20T20:54:20.808490","created_date":"2026-03-20T00:00:00"}