{"id":"https://openalex.org/W4318483020","doi":"https://doi.org/10.3390/rs15030775","title":"Estimating Fractional Snow Cover in the Pan-Arctic Region Using Added Vegetation Extraction Algorithm","display_name":"Estimating Fractional Snow Cover in the Pan-Arctic Region Using Added Vegetation Extraction Algorithm","publication_year":2023,"publication_date":"2023-01-29","ids":{"openalex":"https://openalex.org/W4318483020","doi":"https://doi.org/10.3390/rs15030775"},"language":"en","primary_location":{"id":"doi:10.3390/rs15030775","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15030775","pdf_url":"https://www.mdpi.com/2072-4292/15/3/775/pdf?version=1674987200","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/2072-4292/15/3/775/pdf?version=1674987200","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085630300","display_name":"Yuan Ma","orcid":"https://orcid.org/0000-0003-1921-2372"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210098369","display_name":"Institute of Disaster Prevention","ror":"https://ror.org/00pyv1r78","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098369","https://openalex.org/I90149893"]},{"id":"https://openalex.org/I4210106526","display_name":"Northwest Institute of Eco-Environment and Resources","ror":"https://ror.org/01jz1e142","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106526"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Ma","raw_affiliation_strings":["Key Laboratory of Disaster Prevention and Mitigation in Qinghai Province, Xining 810000, China","Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Disaster Prevention and Mitigation in Qinghai Province, Xining 810000, China","institution_ids":["https://openalex.org/I4210098369"]},{"raw_affiliation_string":"Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China","institution_ids":["https://openalex.org/I4210106526","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060729284","display_name":"Donghang Shao","orcid":"https://orcid.org/0000-0002-6681-3640"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106526","display_name":"Northwest Institute of Eco-Environment and Resources","ror":"https://ror.org/01jz1e142","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106526"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Donghang Shao","raw_affiliation_strings":["Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China","institution_ids":["https://openalex.org/I4210106526","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100703742","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0002-8932-4022"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106526","display_name":"Northwest Institute of Eco-Environment and Resources","ror":"https://ror.org/01jz1e142","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China","institution_ids":["https://openalex.org/I4210106526","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100616466","display_name":"Haojie Li","orcid":"https://orcid.org/0000-0002-2711-8522"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojie Li","raw_affiliation_strings":["College of Geography and Environmental Sciences, Northwest Normal University, Lanzhou 730070, China"],"affiliations":[{"raw_affiliation_string":"College of Geography and Environmental Sciences, Northwest Normal University, Lanzhou 730070, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100712983","display_name":"Hongyu Zhao","orcid":"https://orcid.org/0000-0001-8756-0104"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Zhao","raw_affiliation_strings":["State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003776707","display_name":"Wenzheng Ji","orcid":"https://orcid.org/0000-0002-7370-5568"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106526","display_name":"Northwest Institute of Eco-Environment and Resources","ror":"https://ror.org/01jz1e142","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106526"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzheng Ji","raw_affiliation_strings":["Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China","institution_ids":["https://openalex.org/I4210106526","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060729284"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210106526"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.6261,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63920294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"15","issue":"3","first_page":"775","last_page":"775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":1.0,"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":1.0,"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":0.9980999827384949,"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/T10766","display_name":"Urban Heat Island Mitigation","score":0.9825000166893005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.6373833417892456},{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.6032602787017822},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5613930225372314},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.5216848850250244},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.47990477085113525},{"id":"https://openalex.org/keywords/arctic","display_name":"Arctic","score":0.4795953333377838},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.43117669224739075},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3898232579231262},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3768033981323242},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.34979426860809326},{"id":"https://openalex.org/keywords/physical-geography","display_name":"Physical geography","score":0.3495672345161438},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29018980264663696},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2114257514476776},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.2096685767173767},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.208431214094162},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14328059554100037},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12686586380004883}],"concepts":[{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.6373833417892456},{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.6032602787017822},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5613930225372314},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.5216848850250244},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.47990477085113525},{"id":"https://openalex.org/C518008717","wikidata":"https://www.wikidata.org/wiki/Q25322","display_name":"Arctic","level":2,"score":0.4795953333377838},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.43117669224739075},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3898232579231262},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3768033981323242},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.34979426860809326},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.3495672345161438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29018980264663696},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2114257514476776},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.2096685767173767},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.208431214094162},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14328059554100037},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12686586380004883},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15030775","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15030775","pdf_url":"https://www.mdpi.com/2072-4292/15/3/775/pdf?version=1674987200","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:d982c80d84b2445eb83753a488580353","is_oa":true,"landing_page_url":"https://doaj.org/article/d982c80d84b2445eb83753a488580353","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 15, Iss 3, p 775 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/3/775/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15030775","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 15; Issue 3; Pages: 775","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15030775","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15030775","pdf_url":"https://www.mdpi.com/2072-4292/15/3/775/pdf?version=1674987200","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":0.5299999713897705,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G1022908932","display_name":null,"funder_award_id":"QFZ-2021-G01","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1246210397","display_name":null,"funder_award_id":"41971399","funder_id":"https://openalex.org/F4320335921","funder_display_name":"Natural Science Foundation of Qinghai"},{"id":"https://openalex.org/G1356514951","display_name":null,"funder_award_id":"41971","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3364740730","display_name":null,"funder_award_id":"2020-ZJ-731","funder_id":"https://openalex.org/F4320335921","funder_display_name":"Natural Science Foundation of Qinghai"},{"id":"https://openalex.org/G3605906196","display_name":null,"funder_award_id":"41971399","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6029129900","display_name":null,"funder_award_id":"QFZ-2021-G01","funder_id":"https://openalex.org/F4320335921","funder_display_name":"Natural Science Foundation of Qinghai"},{"id":"https://openalex.org/G7593468898","display_name":null,"funder_award_id":"2020-ZJ-731","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"},{"id":"https://openalex.org/F4320335921","display_name":"Natural Science Foundation of Qinghai","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4318483020.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1969866052","https://openalex.org/W1983316600","https://openalex.org/W1987882549","https://openalex.org/W1990226794","https://openalex.org/W1993167687","https://openalex.org/W2009689360","https://openalex.org/W2022106079","https://openalex.org/W2027878671","https://openalex.org/W2030345151","https://openalex.org/W2039592289","https://openalex.org/W2044111667","https://openalex.org/W2048445178","https://openalex.org/W2049260046","https://openalex.org/W2056805886","https://openalex.org/W2061063031","https://openalex.org/W2078108734","https://openalex.org/W2079019836","https://openalex.org/W2079797871","https://openalex.org/W2080379139","https://openalex.org/W2085335861","https://openalex.org/W2093839045","https://openalex.org/W2117396433","https://openalex.org/W2122219732","https://openalex.org/W2125368795","https://openalex.org/W2135266624","https://openalex.org/W2144881411","https://openalex.org/W2152509385","https://openalex.org/W2157992348","https://openalex.org/W2172124270","https://openalex.org/W2174963011","https://openalex.org/W2366947979","https://openalex.org/W2376282214","https://openalex.org/W2769449999","https://openalex.org/W2774855798","https://openalex.org/W2777424795","https://openalex.org/W2799125384","https://openalex.org/W2887579410","https://openalex.org/W2981781694","https://openalex.org/W3125515083","https://openalex.org/W3165255339","https://openalex.org/W3182706339","https://openalex.org/W3188276472","https://openalex.org/W4226407732","https://openalex.org/W4233760599","https://openalex.org/W4297093781","https://openalex.org/W6652485105","https://openalex.org/W6842682077"],"related_works":["https://openalex.org/W2030498341","https://openalex.org/W2348840575","https://openalex.org/W3122841410","https://openalex.org/W2046205453","https://openalex.org/W2770017172","https://openalex.org/W89977309","https://openalex.org/W2183901182","https://openalex.org/W2030930882","https://openalex.org/W2204614510","https://openalex.org/W3005618458"],"abstract_inverted_index":{"Snow":[0],"cover":[1,41],"is":[2,20,113,139,142,146,207,213,224,236],"an":[3,194,218],"essential":[4],"indicator":[5],"of":[6,12,38,48,53,79,133,166,183,190,196,200,220,230],"global":[7],"climate":[8],"change.":[9],"The":[10,106,153,198],"composition":[11],"the":[13,17,35,46,51,54,60,73,76,80,92,95,110,131,134,137,150,159,164,170,181,205,210,227,240],"underlying":[14,100,127,171,211],"surface":[15,172,212],"in":[16,125,163,232,243],"Pan-Arctic":[18],"region":[19],"complex;":[21],"forest":[22],"and":[23,82,91,98,102,144,235],"other":[24],"areas":[25,234,244],"with":[26,193,217,245],"high":[27,174,246],"vegetation":[28,49,63,175,247],"coverage":[29],"have":[30],"a":[31],"significant":[32,161],"influence":[33],"on":[34,50],"retrieval":[36,168],"accuracy":[37,78,96,132,145,165,182,203,242],"fractional":[39],"snow":[40,215],"(FSC).":[42],"Therefore,":[43],"to":[44,71,226,238],"explore":[45],"impact":[47],"extraction":[52,202],"FSC":[55,123,167,201,231,241],"algorithm,":[56],"this":[57],"study":[58,223],"developed":[59,155],"normalized":[61],"difference":[62],"index":[64],"(NDVI)-based":[65],"Bivariate":[66],"Linear":[67],"Regression":[68],"Model":[69],"(BV-BLRM)":[70],"calculate":[72],"FSC.":[74],"Then,":[75],"overall":[77],"model":[81,112,157,185,206],"its":[83],"changes":[84],"under":[85],"different":[86,99,178],"classification":[87,179],"conditions":[88],"were":[89],"evaluated":[90],"relationship":[93],"between":[94],"improvement":[97,162,199],"surfaces":[101],"elevations":[103],"was":[104,186],"analyzed.":[105],"results":[107],"show":[108],"that":[109,189],"BV-BLRM":[111,135,156,184],"more":[114],"accurate":[115],"than":[116,149,188],"MODIS\u2019s":[117],"traditional":[118],"univariate":[119],"linear":[120],"algorithm":[121],"for":[122],"(MOD-FSC)":[124],"each":[126],"surface.":[128],"Overall,":[129],"regarding":[130],"model,":[136,192],"RMSE":[138],"0.2,":[140],"MAE":[141],"0.15,":[143],"28.6%":[147],"higher":[148,187],"MOD-FSC":[151,191],"model.":[152],"newly":[154],"has":[158,173],"most":[160],"when":[169,209],"coverage.":[176,248],"Under":[177],"accuracies,":[180],"average":[195,219],"30.5%.":[197],"by":[204],"smaller":[208],"perpetual":[214],"zone,":[216],"12.2%.":[221],"This":[222],"applicable":[225],"scale":[228],"mapping":[229],"large":[233],"helpful":[237],"improve":[239]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2023-01-30T00:00:00"}
