{"id":"https://openalex.org/W7164934036","doi":"https://doi.org/10.3390/data11060146","title":"A High-Resolution Multi-Temporal Remote Sensing Dataset for Levee-like Feature Segmentation in Arid Regions","display_name":"A High-Resolution Multi-Temporal Remote Sensing Dataset for Levee-like Feature Segmentation in Arid Regions","publication_year":2026,"publication_date":"2026-06-16","ids":{"openalex":"https://openalex.org/W7164934036","doi":"https://doi.org/10.3390/data11060146"},"language":"en","primary_location":{"id":"doi:10.3390/data11060146","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data11060146","pdf_url":null,"source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"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":"Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/data11060146","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087526133","display_name":"Osman Ilniyaz","orcid":"https://orcid.org/0000-0002-0435-6333"},"institutions":[{"id":"https://openalex.org/I4210147819","display_name":"Institute of Archaeology","ror":"https://ror.org/05rnyty77","country_code":"CN","type":"facility","lineage":["https://openalex.org/I114218197","https://openalex.org/I4210147819"]},{"id":"https://openalex.org/I4210161720","display_name":"Museo Egizio","ror":"https://ror.org/058zzep76","country_code":"IT","type":"archive","lineage":["https://openalex.org/I4210161720"]}],"countries":["CN","IT"],"is_corresponding":false,"raw_author_name":"Osman Ilniyaz","raw_affiliation_strings":["Institute of Archaeology, Academia Turfanica, Turpan 838000, China","Turpan Academy of Museology, Turpan 838000, China"],"raw_orcid":"https://orcid.org/0000-0002-0435-6333","affiliations":[{"raw_affiliation_string":"Institute of Archaeology, Academia Turfanica, Turpan 838000, China","institution_ids":["https://openalex.org/I4210147819"]},{"raw_affiliation_string":"Turpan Academy of Museology, Turpan 838000, China","institution_ids":["https://openalex.org/I4210161720"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138691175","display_name":"Qingwu Hu","orcid":"https://orcid.org/0000-0003-0866-6678"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingwu Hu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430072, China"],"raw_orcid":"https://orcid.org/0000-0003-0866-6678","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018882355","display_name":"Hao Lu","orcid":"https://orcid.org/0000-0002-7607-6189"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Lu","raw_affiliation_strings":["Engineering Research Center of Northwest Energy Carbon Neutrality, Ministry of Education, Xinjiang University, Urumqi 830047, China","Laboratory of Energy Carbon Neutrality, School of Electrical Engineering, Xinjiang University, Urumqi 830047, China"],"raw_orcid":"https://orcid.org/0000-0002-7607-6189","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Northwest Energy Carbon Neutrality, Ministry of Education, Xinjiang University, Urumqi 830047, China","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"Laboratory of Energy Carbon Neutrality, School of Electrical Engineering, Xinjiang University, Urumqi 830047, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030376155","display_name":"Kaisar Ahmat","orcid":"https://orcid.org/0000-0001-9961-419X"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kaisar Ahmat","raw_affiliation_strings":["Engineering Research Center of Northwest Energy Carbon Neutrality, Ministry of Education, Xinjiang University, Urumqi 830047, China","Laboratory of Energy Carbon Neutrality, School of Electrical Engineering, Xinjiang University, Urumqi 830047, China"],"raw_orcid":"https://orcid.org/0000-0001-9961-419X","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Northwest Energy Carbon Neutrality, Ministry of Education, Xinjiang University, Urumqi 830047, China","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"Laboratory of Energy Carbon Neutrality, School of Electrical Engineering, Xinjiang University, Urumqi 830047, China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030376155"],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1930},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1930},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.53556382,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"6","first_page":"146","last_page":"146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12543","display_name":"Groundwater and Watershed Analysis","score":0.3391999900341034,"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"}},"topics":[{"id":"https://openalex.org/T12543","display_name":"Groundwater and Watershed Analysis","score":0.3391999900341034,"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"}},{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.2175000011920929,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.09870000183582306,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5519999861717224},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.532800018787384},{"id":"https://openalex.org/keywords/polygon","display_name":"Polygon (computer graphics)","score":0.5275999903678894},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44909998774528503},{"id":"https://openalex.org/keywords/remote-sensing-application","display_name":"Remote sensing application","score":0.4357999861240387},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42890000343322754},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42100000381469727},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40230000019073486}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6639000177383423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6238999962806702},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5519999861717224},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.532800018787384},{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.5275999903678894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4812000095844269},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44909998774528503},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.4357999861240387},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42890000343322754},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42100000381469727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40230000019073486},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4016000032424927},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3458000123500824},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C150772632","wikidata":"https://www.wikidata.org/wiki/Q1330709","display_name":"Arid","level":2,"score":0.3215999901294708},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C2780408538","wikidata":"https://www.wikidata.org/wiki/Q3615217","display_name":"Ancillary data","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25450000166893005},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2508000135421753}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/data11060146","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data11060146","pdf_url":null,"source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"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":"Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:259c14fd007248d7bc79d98f204f2fa5","is_oa":false,"landing_page_url":"https://doaj.org/article/259c14fd007248d7bc79d98f204f2fa5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data, Vol 11, Iss 6, p 146 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/data11060146","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data11060146","pdf_url":null,"source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"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":"Data","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.721862256526947,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"}],"awards":[{"id":"https://openalex.org/G4834125684","display_name":null,"funder_award_id":"5105250180U","funder_id":"https://openalex.org/F4320329872","funder_display_name":"Xinjiang Tianchi Doctoral Project"}],"funders":[{"id":"https://openalex.org/F4320329872","display_name":"Xinjiang Tianchi Doctoral Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2012214138","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2752660403","https://openalex.org/W2804199516","https://openalex.org/W2915254566","https://openalex.org/W2964309882","https://openalex.org/W3081756396","https://openalex.org/W3123813572","https://openalex.org/W4229000962","https://openalex.org/W4360991888","https://openalex.org/W4364323147","https://openalex.org/W4385273559","https://openalex.org/W4390670365","https://openalex.org/W4390826350","https://openalex.org/W4392507800","https://openalex.org/W4398756379","https://openalex.org/W4403976146","https://openalex.org/W4407192196","https://openalex.org/W4407996814","https://openalex.org/W4408144019","https://openalex.org/W4409709894","https://openalex.org/W4410828262","https://openalex.org/W4410925233","https://openalex.org/W4411327743"],"related_works":[],"abstract_inverted_index":{"Levee-like":[0],"features":[1],"are":[2,118,128],"critical":[3],"for":[4,38,171,182],"water":[5],"regulation":[6],"in":[7,54,88],"arid":[8],"regions,":[9],"but":[10],"their":[11,137],"automated":[12],"extraction":[13],"from":[14],"remote":[15,34,188],"sensing":[16,35,189],"imagery":[17],"remains":[18],"challenging":[19],"due":[20],"to":[21,108,130,136],"the":[22,76,92,131,147,151,162],"scarcity":[23],"of":[24,41,67,75],"high-resolution":[25,33],"labeled":[26],"datasets.":[27],"This":[28,175],"data":[29,110,133,180],"descriptor":[30],"introduces":[31],"a":[32,64,105],"image":[36],"dataset":[37,45,103,141,176],"semantic":[39],"segmentation":[40,159],"levee-like":[42,172,185],"features.":[43],"The":[44,102,140],"covers":[46],"11":[47],"regions":[48,78],"across":[49],"Xinjiang":[50],"and":[51,95,115,124,157,192],"Gansu":[52],"Province":[53],"northwestern":[55],"China.":[56],"It":[57],"includes":[58],"459":[59],"single-phase":[60,122],"base":[61],"images":[62,74,127],"with":[63],"spatial":[65,138],"resolution":[66],"0.50":[68],"m,":[69],"as":[70,72],"well":[71],"multi-temporal":[73,126],"same":[77],"captured":[79],"at":[80],"different":[81],"times.":[82],"All":[83],"annotations":[84],"were":[85],"manually":[86],"drawn":[87],"polygon":[89],"mode":[90],"using":[91],"LabelMe":[93],"tool":[94],"converted":[96],"into":[97],"YOLO":[98,156],"format":[99],"label":[100],"files.":[101],"adopts":[104],"strict":[106],"strategy":[107],"prevent":[109],"leakage:":[111],"first,":[112],"training,":[113],"validation":[114],"test":[116,163],"sets":[117],"divided":[119],"based":[120],"on":[121,146,161,184],"images,":[123],"then":[125],"allocated":[129],"corresponding":[132],"subsets":[134],"according":[135],"locations.":[139],"has":[142],"been":[143],"publicly":[144],"released":[145],"ScienceDB":[148],"platform":[149],"under":[150],"CC":[152],"BY":[153],"4.0":[154],"license.":[155],"U-Net":[158],"experiments":[160],"set":[164],"achieved":[165],"promising":[166],"results,":[167],"demonstrating":[168],"its":[169],"usability":[170],"feature":[173,186],"segmentation.":[174],"can":[177],"provide":[178],"fundamental":[179],"support":[181],"research":[183],"extraction,":[187],"change":[190],"detection,":[191],"cross-region":[193],"model":[194],"transfer":[195],"learning.":[196]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-06-17T00:00:00"}