{"id":"https://openalex.org/W4407566433","doi":"https://doi.org/10.1109/tgrs.2025.3542095","title":"A Novel Approach for Cloud-Free MODIS NDSI Reconstruction on the Tibetan Plateau Combining Spatiotemporal Cube and Environmental Features","display_name":"A Novel Approach for Cloud-Free MODIS NDSI Reconstruction on the Tibetan Plateau Combining Spatiotemporal Cube and Environmental Features","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407566433","doi":"https://doi.org/10.1109/tgrs.2025.3542095"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3542095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3542095","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5100407450","display_name":"Linxin Dong","orcid":"https://orcid.org/0000-0002-4962-2420"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linxin Dong","raw_affiliation_strings":["Key Laboratory of Geographic Information Science (Ministry of Education), the School of Geographic Sciences, East China Normal University, Shanghai, China","School of Geographic Sciences, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, and the Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4962-2420","affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science (Ministry of Education), the School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"School of Geographic Sciences, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, and the Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), Shanghai, China","institution_ids":["https://openalex.org/I66867065","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102832601","display_name":"Haixi Zhou","orcid":"https://orcid.org/0009-0003-8440-321X"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixi Zhou","raw_affiliation_strings":["Key Laboratory of Geographic Information Science (Ministry of Education), the School of Geographic Sciences, East China Normal University, Shanghai, China","School of Geographic Sciences, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, and the Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0003-8440-321X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science (Ministry of Education), the School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"School of Geographic Sciences, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, and the Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), Shanghai, China","institution_ids":["https://openalex.org/I66867065","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057824956","display_name":"Qingyu Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyu Gu","raw_affiliation_strings":["Key Laboratory of Geographic Information Science (Ministry of Education), the School of Geographic Sciences, East China Normal University, Shanghai, China","School of Geographic Sciences, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, and the Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science (Ministry of Education), the School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"School of Geographic Sciences, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, and the Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), Shanghai, China","institution_ids":["https://openalex.org/I66867065","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052065564","display_name":"Jiahui Xu","orcid":"https://orcid.org/0000-0002-2218-2509"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Xu","raw_affiliation_strings":["Key Laboratory of Geographic Information Science (Ministry of Education), the School of Geographic Sciences, East China Normal University, Shanghai, China","School of Geographic Sciences, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, and the Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2218-2509","affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science (Ministry of Education), the School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"School of Geographic Sciences, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, and the Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), Shanghai, China","institution_ids":["https://openalex.org/I66867065","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116267287","display_name":"Ruiyang Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiyang Hua","raw_affiliation_strings":["Key Laboratory of Geographic Information Science (Ministry of Education), the School of Geographic Sciences, East China Normal University, Shanghai, China","School of Geographic Sciences, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, and the Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science (Ministry of Education), the School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"School of Geographic Sciences, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, and the Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), Shanghai, China","institution_ids":["https://openalex.org/I66867065","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435026","display_name":"Bailang Yu","orcid":"https://orcid.org/0000-0001-5628-0003"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bailang Yu","raw_affiliation_strings":["Key Laboratory of Geographic Information Science (Ministry of Education), the School of Geographic Sciences, East China Normal University, Shanghai, China","School of Geographic Sciences, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, and the Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5628-0003","affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science (Ministry of Education), the School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"School of Geographic Sciences, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, and the Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), Shanghai, China","institution_ids":["https://openalex.org/I66867065","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001949272","display_name":"Jianping Wu","orcid":"https://orcid.org/0000-0002-8887-8031"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Wu","raw_affiliation_strings":["Key Laboratory of Geographic Information Science (Ministry of Education), the School of Geographic Sciences, East China Normal University, Shanghai, China","School of Geographic Sciences, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, and the Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8887-8031","affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science (Ministry of Education), the School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"School of Geographic Sciences, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, and the Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), Shanghai, China","institution_ids":["https://openalex.org/I66867065","https://openalex.org/I211433327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019891697","display_name":"Yan Huang","orcid":"https://orcid.org/0000-0001-6314-1802"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Huang","raw_affiliation_strings":["Key Laboratory of Geographic Information Science (Ministry of Education), the School of Geographic Sciences, East China Normal University, Shanghai, China","School of Geographic Sciences, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, and the Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6314-1802","affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science (Ministry of Education), the School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"School of Geographic Sciences, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, and the Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), Shanghai, China","institution_ids":["https://openalex.org/I66867065","https://openalex.org/I211433327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100407450"],"corresponding_institution_ids":["https://openalex.org/I211433327","https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":2.3099,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8440534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.986299991607666,"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/T12019","display_name":"Calibration and Measurement Techniques","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/cloud-computing","display_name":"Cloud computing","score":0.708088219165802},{"id":"https://openalex.org/keywords/plateau","display_name":"Plateau (mathematics)","score":0.6387613415718079},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6295906901359558},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4912094473838806},{"id":"https://openalex.org/keywords/cube","display_name":"Cube (algebra)","score":0.4772324860095978},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.40082496404647827},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3175589442253113}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.708088219165802},{"id":"https://openalex.org/C2780030769","wikidata":"https://www.wikidata.org/wiki/Q4968575","display_name":"Plateau (mathematics)","level":2,"score":0.6387613415718079},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6295906901359558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4912094473838806},{"id":"https://openalex.org/C53051483","wikidata":"https://www.wikidata.org/wiki/Q861555","display_name":"Cube (algebra)","level":2,"score":0.4772324860095978},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.40082496404647827},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3175589442253113},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3542095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3542095","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3338843115","display_name":null,"funder_award_id":"42071306","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7054256060","display_name":null,"funder_award_id":"42471143","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1533551908","https://openalex.org/W1894072831","https://openalex.org/W1976984800","https://openalex.org/W1978836251","https://openalex.org/W1986702774","https://openalex.org/W1987882549","https://openalex.org/W2022106079","https://openalex.org/W2063140107","https://openalex.org/W2067739701","https://openalex.org/W2096842752","https://openalex.org/W2099596680","https://openalex.org/W2115713536","https://openalex.org/W2125368795","https://openalex.org/W2147284659","https://openalex.org/W2155806297","https://openalex.org/W2165028526","https://openalex.org/W2263248977","https://openalex.org/W2298850945","https://openalex.org/W2355489586","https://openalex.org/W2560167313","https://openalex.org/W2766439007","https://openalex.org/W2770654566","https://openalex.org/W2791711478","https://openalex.org/W2802059742","https://openalex.org/W2885442465","https://openalex.org/W2893104692","https://openalex.org/W2896326029","https://openalex.org/W2896964948","https://openalex.org/W2907360793","https://openalex.org/W2975519403","https://openalex.org/W2987210090","https://openalex.org/W2990927747","https://openalex.org/W2992820108","https://openalex.org/W3002343708","https://openalex.org/W3024310856","https://openalex.org/W3036207951","https://openalex.org/W3140488659","https://openalex.org/W3174540719","https://openalex.org/W3198091214","https://openalex.org/W3208592396","https://openalex.org/W3211093300","https://openalex.org/W4205401405","https://openalex.org/W4220732734","https://openalex.org/W4220830889","https://openalex.org/W4224256157","https://openalex.org/W4285009599","https://openalex.org/W4285139367","https://openalex.org/W4291624785","https://openalex.org/W4297997886","https://openalex.org/W4306954705","https://openalex.org/W4310772686","https://openalex.org/W4322740147","https://openalex.org/W4324056586","https://openalex.org/W4390241551","https://openalex.org/W4390498889","https://openalex.org/W4390505245","https://openalex.org/W4394926253","https://openalex.org/W4401705585","https://openalex.org/W6745609711"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2380822794","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W2802581102"],"abstract_inverted_index":{"Snow":[0],"cover":[1,33,49,206],"is":[2,22],"essential":[3],"for":[4,27,238],"the":[5,12,36,44,72,97,107,198,213,222,231],"hydrological":[6,243],"cycle":[7],"and":[8,50,79,110,139,146,165,173,188,208,227,242],"ecological":[9],"balance":[10],"of":[11,39,113,127,143,169,224],"Tibetan":[13],"Plateau":[14],"(TP).":[15],"The":[16],"normalized":[17],"difference":[18],"snow":[19,28,48,205,225],"index":[20],"(NDSI)":[21],"a":[23,57,65,82,89,234],"widely":[24],"used":[25],"indicator":[26],"detection,":[29],"yet":[30],"extensive":[31],"cloud":[32],"often":[34],"disrupts":[35],"spatiotemporal":[37,73,83,193],"continuity":[38],"MODIS":[40,93],"NDSI":[41,67,94,219],"data.":[42],"Given":[43],"close":[45],"link":[46],"between":[47],"environmental":[51,54,76,179],"conditions,":[52],"introducing":[53],"factors":[55],"provides":[56],"novel":[58,216],"perspective":[59],"on":[60,212,230],"reconstruction.":[61],"Here,":[62],"we":[63,105],"developed":[64],"LightGBM-based":[66],"reconstruction":[68,220],"method":[69,87,120,200],"that":[70,118],"integrates":[71],"cube":[74],"with":[75,81,124],"features\u2014meteorological,":[77],"topographical,":[78],"geographical\u2014along":[80],"reliability":[84],"assessment.":[85],"This":[86,215],"generated":[88],"robust,":[90],"long-term,":[91],"cloud-free":[92],"dataset":[95],"over":[96],"TP":[98],"(daily,":[99],"500":[100],"m).":[101],"Through":[102],"simulation":[103],"experiments,":[104],"evaluated":[106],"numerical,":[108],"spatial,":[109],"classification":[111,150],"accuracy":[112,123,153,203],"our":[114],"method.":[115],"Results":[116],"showed":[117],"this":[119],"achieved":[121],"high":[122],"averaged":[125],"coefficient":[126],"determination":[128],"(<inline-formula":[129],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[130,156],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[131,157],"<tex-math":[132,158],"notation=\"LaTeX\">$R^{2}$":[133],"</tex-math></inline-formula>),":[134],"mean":[135],"absolute":[136],"error":[137,141,163,167],"(MAE),":[138],"root-mean-square":[140],"(RMSE)":[142],"0.81,":[144],"0.090,":[145],"0.138,":[147],"respectively,":[148],"while":[149],"metrics":[151],"overall":[152],"(OA),":[154],"<inline-formula":[155],"notation=\"LaTeX\">$F1$":[159],"</tex-math></inline-formula>-score":[160],"(FS),":[161],"commission":[162],"(CE),":[164],"omission":[166],"(OE)":[168],"0.94,":[170],"0.82,":[171],"0.038,":[172],"0.20,":[174],"respectively.":[175],"Notably,":[176],"incorporating":[177],"snow-related":[178],"features":[180],"resulted":[181],"in":[182,209],"superior":[183],"metric":[184],"accuracy,":[185],"image":[186],"quality,":[187],"spatial":[189],"detail":[190],"compared":[191],"to":[192,218],"interpolation":[194],"(SI)":[195],"alone.":[196],"Furthermore,":[197],"proposed":[199],"demonstrated":[201],"higher":[202],"during":[204],"periods":[207],"high-altitude":[210],"regions":[211],"TP.":[214],"approach":[217],"enhances":[221],"understanding":[223],"accumulation":[226],"melting":[228],"processes":[229],"TP,":[232],"offering":[233],"robust":[235],"data":[236],"foundation":[237],"climate":[239],"change":[240],"monitoring":[241],"modeling.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}