{"id":"https://openalex.org/W4399893296","doi":"https://doi.org/10.3390/rs16132260","title":"A New Retrieval Algorithm of Fractional Snow over the Tibetan Plateau Derived from AVH09C1","display_name":"A New Retrieval Algorithm of Fractional Snow over the Tibetan Plateau Derived from AVH09C1","publication_year":2024,"publication_date":"2024-06-21","ids":{"openalex":"https://openalex.org/W4399893296","doi":"https://doi.org/10.3390/rs16132260"},"language":"en","primary_location":{"id":"doi:10.3390/rs16132260","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16132260","pdf_url":"https://www.mdpi.com/2072-4292/16/13/2260/pdf?version=1718959817","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/13/2260/pdf?version=1718959817","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086814293","display_name":"Hang Yin","orcid":"https://orcid.org/0000-0002-4007-1546"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Yin","raw_affiliation_strings":["College of Architecture and Landscape Architecture, Peking University, 5 Summer Palace Road, Haidian, Beijing 100871, China","College of Urban and Environmental Sciences, Peking University, 5 Summer Palace Road, Haidian, Beijing 100871, China"],"affiliations":[{"raw_affiliation_string":"College of Architecture and Landscape Architecture, Peking University, 5 Summer Palace Road, Haidian, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"College of Urban and Environmental Sciences, Peking University, 5 Summer Palace Road, Haidian, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066949435","display_name":"Liyan Xu","orcid":"https://orcid.org/0000-0002-6933-3394"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liyan Xu","raw_affiliation_strings":["College of Architecture and Landscape Architecture, Peking University, 5 Summer Palace Road, Haidian, Beijing 100871, China"],"affiliations":[{"raw_affiliation_string":"College of Architecture and Landscape Architecture, Peking University, 5 Summer Palace Road, Haidian, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034452949","display_name":"Yihang Li","orcid":"https://orcid.org/0000-0002-0401-7315"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihang Li","raw_affiliation_strings":["College of Architecture and Landscape Architecture, Peking University, 5 Summer Palace Road, Haidian, Beijing 100871, China","College of Urban and Environmental Sciences, Peking University, 5 Summer Palace Road, Haidian, Beijing 100871, China"],"affiliations":[{"raw_affiliation_string":"College of Architecture and Landscape Architecture, Peking University, 5 Summer Palace Road, Haidian, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"College of Urban and Environmental Sciences, Peking University, 5 Summer Palace Road, Haidian, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066949435"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.7194,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64449676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"16","issue":"13","first_page":"2260","last_page":"2260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9998999834060669,"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/T10644","display_name":"Cryospheric studies and observations","score":0.9998999834060669,"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/T11459","display_name":"Arctic and Antarctic ice dynamics","score":0.9958999752998352,"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/T11333","display_name":"Climate change and permafrost","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.6302276253700256},{"id":"https://openalex.org/keywords/plateau","display_name":"Plateau (mathematics)","score":0.5480000972747803},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.46165570616722107},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3711148500442505},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3588600158691406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32996582984924316},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3225085139274597},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16485047340393066},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1550186276435852},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.12340128421783447},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0683855414390564}],"concepts":[{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.6302276253700256},{"id":"https://openalex.org/C2780030769","wikidata":"https://www.wikidata.org/wiki/Q4968575","display_name":"Plateau (mathematics)","level":2,"score":0.5480000972747803},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.46165570616722107},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3711148500442505},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3588600158691406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32996582984924316},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3225085139274597},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16485047340393066},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1550186276435852},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.12340128421783447},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0683855414390564}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16132260","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16132260","pdf_url":"https://www.mdpi.com/2072-4292/16/13/2260/pdf?version=1718959817","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b54966dec49a4db6927e58d72beb881c","is_oa":true,"landing_page_url":"https://doaj.org/article/b54966dec49a4db6927e58d72beb881c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 13, p 2260 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16132260","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16132260","pdf_url":"https://www.mdpi.com/2072-4292/16/13/2260/pdf?version=1718959817","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399893296.pdf"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1580827583","https://openalex.org/W1969732328","https://openalex.org/W1990226794","https://openalex.org/W2001279469","https://openalex.org/W2013098885","https://openalex.org/W2018060382","https://openalex.org/W2033084889","https://openalex.org/W2035234005","https://openalex.org/W2038006265","https://openalex.org/W2041887742","https://openalex.org/W2045827465","https://openalex.org/W2047201909","https://openalex.org/W2061688579","https://openalex.org/W2063140107","https://openalex.org/W2063544218","https://openalex.org/W2080671440","https://openalex.org/W2085335861","https://openalex.org/W2088548373","https://openalex.org/W2089616742","https://openalex.org/W2091128817","https://openalex.org/W2092970725","https://openalex.org/W2096842752","https://openalex.org/W2107118194","https://openalex.org/W2117396433","https://openalex.org/W2124006030","https://openalex.org/W2126468629","https://openalex.org/W2142800341","https://openalex.org/W2143561049","https://openalex.org/W2146952331","https://openalex.org/W2147284659","https://openalex.org/W2169403664","https://openalex.org/W2171221184","https://openalex.org/W2567937534","https://openalex.org/W2589003880","https://openalex.org/W2601113219","https://openalex.org/W2601812400","https://openalex.org/W2760849513","https://openalex.org/W2810160223","https://openalex.org/W2921440769","https://openalex.org/W2924154667","https://openalex.org/W2975519403","https://openalex.org/W2990927747","https://openalex.org/W3005591933","https://openalex.org/W3025949386","https://openalex.org/W3197235033","https://openalex.org/W3198091214","https://openalex.org/W4210323957","https://openalex.org/W4283016951","https://openalex.org/W4284971022","https://openalex.org/W4285012084","https://openalex.org/W6775975336"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2910852340","https://openalex.org/W2051487156","https://openalex.org/W2913143114","https://openalex.org/W1975930865","https://openalex.org/W2060524912","https://openalex.org/W2314704010","https://openalex.org/W1584003442","https://openalex.org/W4399703474","https://openalex.org/W2317224478"],"abstract_inverted_index":{"Snow":[0,120],"cover":[1,25,32,62,91,163,227,321,360,379],"products":[2,33],"are":[3,291,346],"primarily":[4],"derived":[5],"from":[6,94],"the":[7,53,57,68,72,84,95,129,141,144,160,180,187,202,210,249,253,259,273,287,318,334,349,354],"Moderate-resolution":[8],"Imaging":[9],"Spectrometer":[10],"(MODIS)":[11],"and":[12,23,81,107,134,147,154,174,193,198,215,269,278,343,366],"Advanced":[13],"Very-High-Resolution":[14],"Radiometer":[15],"(AVHRR)":[16],"datasets.":[17],"MODIS":[18,85],"achieves":[19],"both":[20],"snow/non-snow":[21,37],"discrimination":[22],"snow":[24,31,61,86,90,137,162,226,320,359,378],"fractional":[26,63,377],"retrieval,":[27],"while":[28],"early":[29],"AVHRR-based":[30],"only":[34],"focused":[35],"on":[36,136,184,364],"discrimination.":[38],"The":[39,89,157,176,217,238,302,313],"AVHRR":[40,96,161,319],"Climate":[41],"Data":[42],"Record":[43],"(AVHRR-CDR)":[44],"provides":[45],"a":[46,116,306,357,369,374],"nearly":[47],"40-year":[48],"global":[49,358],"dataset":[50,97],"that":[51,179,317,340],"has":[52,186],"potential":[54],"to":[55,127,348],"fill":[56],"gap":[58],"in":[59,125,242,327,333],"long-term":[60,375],"monitoring.":[64],"Our":[65,351],"study":[66,329,352],"selects":[67],"Qinghai\u2013Tibet":[69],"Plateau":[70,336],"as":[71,284],"experimental":[73],"area,":[74],"utilizing":[75],"AVHRR-CDR":[76,365],"surface":[77],"reflectance":[78],"data":[79,165],"(AVH09C1)":[80],"calibrating":[82],"with":[83,115,146,191,245,248,295,311],"product":[87,166,325,362],"MOD10A1.":[88],"percentage":[92,164,322,361],"retrieval":[93],"is":[98,167,219,261,270,275],"performed":[99],"using":[100,169,221],"Surface":[101,108],"Reflectance":[102,109],"at":[103,110],"0.64":[104],"\u03bcm":[105,112],"(SR1)":[106],"0.86":[111],"(SR2),":[113],"along":[114],"simulated":[117],"Normalized":[118],"Difference":[119],"Index":[121],"(NDSI)":[122],"model.":[123],"Also,":[124],"order":[126],"detect":[128],"effects":[130,211],"of":[131,143,159,196,212,230,300,309],"land-cover":[132,213,341],"type":[133,214,342],"topography":[135],"inversion,":[138],"we":[139],"tested":[140],"accuracy":[142,158,203,332],"algorithm":[145,153,240],"without":[148],"these":[149],"influences,":[150],"respectively":[151],"(vanilla":[152],"improved":[155,205,239],"algorithm).":[156],"evaluated":[168],"MOD10A1,":[170],"ground":[171,281,285],"snow-depth":[172,282],"measurements":[173,283],"ERA5.":[175,312],"results":[177,241,303,315],"indicate":[178],"logic":[181],"model":[182,218],"based":[183,363],"NDSI":[185],"best":[188],"fitting":[189],"effect,":[190],"R-square":[192],"RMSE":[194,254],"values":[195],"0.83":[197],"0.10,":[199],"respectively.":[200],"Meanwhile,":[201],"was":[204],"after":[206],"taking":[207],"into":[208],"account":[209],"topography.":[216],"validated":[220],"MOD10A1":[222,246],"snow-covered":[223],"areas,":[224],"showing":[225],"area":[228],"differences":[229],"less":[231],"than":[232,247],"4%":[233],"across":[234],"6":[235],"temporal":[236],"phases.":[237],"better":[243],"consistency":[244,310],"vanilla":[250],"algorithm.":[251,350],"Moreover,":[252],"reaches":[255],"greater":[256],"levels":[257],"when":[258,272],"elevation":[260],"below":[262],"2000":[263],"m":[264,268],"or":[265],"above":[266,293],"6000":[267],"lower":[271],"slope":[274],"between":[276],"16\u00b0":[277],"20\u00b0.":[279],"Using":[280],"truth,":[286],"multi-year":[288],"recall":[289,298],"rates":[290],"mostly":[292],"0.7,":[294],"an":[296],"average":[297],"rate":[299],"0.81.":[301],"also":[304,338],"show":[305],"high":[307,331],"degree":[308],"validation":[314],"demonstrate":[316],"remote":[323],"sensing":[324],"proposed":[326],"this":[328],"exhibits":[330],"Tibetan":[335],"region,":[337],"demonstrating":[339],"topographic":[344],"factors":[345],"important":[347],"lays":[353,368],"foundation":[355],"for":[356,372],"furthermore":[367],"basic":[370],"work":[371],"generating":[373],"AVHRR-MODIS":[376],"dataset.":[380]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
