{"id":"https://openalex.org/W2895875921","doi":"https://doi.org/10.1109/lgrs.2018.2873836","title":"Snow Cover Estimation From Image Time Series Based on Spectral Unmixing","display_name":"Snow Cover Estimation From Image Time Series Based on Spectral Unmixing","publication_year":2018,"publication_date":"2018-10-18","ids":{"openalex":"https://openalex.org/W2895875921","doi":"https://doi.org/10.1109/lgrs.2018.2873836","mag":"2895875921"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2018.2873836","doi":"https://doi.org/10.1109/lgrs.2018.2873836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2873836","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-b","jufo-1","norway-1","poland-140","russia-white-list-1","vabb-shw"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5011024561","display_name":"Th\u00e9o Masson","orcid":"https://orcid.org/0000-0001-7028-3606","observed_orcids":["https://orcid.org/0000-0001-7028-3606"]},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Theo Masson","raw_affiliation_strings":["GIPSA-lab, CNRS, Grenoble INP, Institute of Engineering, University of Grenoble Alpes, Grenoble, France","GIPSA - Signal Images Physique"],"raw_orcid":"https://orcid.org/0000-0001-7028-3606","affiliations":[{"raw_affiliation_string":"GIPSA-lab, CNRS, Grenoble INP, Institute of Engineering, University of Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956"]},{"raw_affiliation_string":"GIPSA - Signal Images Physique","institution_ids":["https://openalex.org/I4210124956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050760333","display_name":"Mauro Dalla Mura","orcid":"https://orcid.org/0000-0002-9656-9087","observed_orcids":["https://orcid.org/0000-0002-9656-9087"]},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mauro Dalla Mura","raw_affiliation_strings":["GIPSA-lab, CNRS, Grenoble INP, Institute of Engineering, University of Grenoble Alpes, Grenoble, France","GIPSA - Signal Images Physique"],"raw_orcid":"https://orcid.org/0000-0002-9656-9087","affiliations":[{"raw_affiliation_string":"GIPSA-lab, CNRS, Grenoble INP, Institute of Engineering, University of Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956"]},{"raw_affiliation_string":"GIPSA - Signal Images Physique","institution_ids":["https://openalex.org/I4210124956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017708843","display_name":"Marie Dumont","orcid":"https://orcid.org/0000-0002-4002-5873","observed_orcids":["https://orcid.org/0000-0002-4002-5873"]},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210088553","display_name":"Centre National de Recherches M\u00e9t\u00e9orologiques","ror":"https://ror.org/004rej139","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I4210088553","https://openalex.org/I4210113730","https://openalex.org/I4210148025"]},{"id":"https://openalex.org/I4210113730","display_name":"M\u00e9t\u00e9o-France","ror":"https://ror.org/0233st365","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210113730"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marie Dumont","raw_affiliation_strings":["M\u00e9t\u00e9o-France-CNRS, CNRM/CEN, UMR 3589, Saint Martin d\u2019H\u2019res, France","Centre national de recherches m\u00e9t\u00e9orologiques"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"M\u00e9t\u00e9o-France-CNRS, CNRM/CEN, UMR 3589, Saint Martin d\u2019H\u2019res, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210088553","https://openalex.org/I4210113730"]},{"raw_affiliation_string":"Centre national de recherches m\u00e9t\u00e9orologiques","institution_ids":["https://openalex.org/I4210088553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875","observed_orcids":["https://orcid.org/0000-0003-4817-2875"]},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["GIPSA-lab, CNRS, Grenoble INP, Institute of Engineering, University of Grenoble Alpes, Grenoble, France","GIPSA - Signal Images Physique"],"raw_orcid":"https://orcid.org/0000-0003-4817-2875","affiliations":[{"raw_affiliation_string":"GIPSA-lab, CNRS, Grenoble INP, Institute of Engineering, University of Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956"]},{"raw_affiliation_string":"GIPSA - Signal Images Physique","institution_ids":["https://openalex.org/I4210124956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.2206,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.54991962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"16","issue":"3","first_page":"337","last_page":"341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.6474999785423279,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.6474999785423279,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.2782999873161316,"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":0.02539999969303608,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/snow-cover-estimation","display_name":"snow cover estimation","score":0.9070000052452087},{"id":"https://openalex.org/keywords/spectral-unmixing","display_name":"spectral unmixing","score":0.9869999885559082},{"id":"https://openalex.org/keywords/endmember-extraction","display_name":"endmember extraction","score":0.75},{"id":"https://openalex.org/keywords/image-time-series","display_name":"image time series","score":0.718999981880188},{"id":"https://openalex.org/keywords/fractional-snow-cover","display_name":"fractional snow cover","score":0.6600000262260437},{"id":"https://openalex.org/keywords/background-materials","display_name":"background materials","score":0.5879999995231628},{"id":"https://openalex.org/keywords/temporal-continuity","display_name":"temporal continuity","score":0.6029999852180481},{"id":"https://openalex.org/keywords/terra-modis","display_name":"MODIS Terra","score":0.6159999966621399},{"id":"https://openalex.org/keywords/abundance-estimation","display_name":"abundance estimation","score":0.8399999737739563},{"id":"https://openalex.org/keywords/french-alps","display_name":"French Alps","score":0.7400000095367432},{"id":"https://openalex.org/keywords/moroccan-high-atlas","display_name":"Moroccan High Atlas","score":0.9190000295639038}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9880020618438721},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6318591833114624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5312592387199402},{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.5222243070602417},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5053074955940247},{"id":"https://openalex.org/C2777007095","wikidata":"https://www.wikidata.org/wiki/Q676840","display_name":"Moderate-resolution imaging spectroradiometer","level":3,"score":0.48347169160842896},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.47250354290008545},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4500359892845154},{"id":"https://openalex.org/C130066347","wikidata":"https://www.wikidata.org/wiki/Q680509","display_name":"Spectroradiometer","level":3,"score":0.4170864522457123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37540656328201294},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3424622416496277},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.290035605430603},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1879347562789917},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.16402313113212585},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.15722516179084778},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14787742495536804},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08612248301506042},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lgrs.2018.2873836","doi":"https://doi.org/10.1109/lgrs.2018.2873836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2873836","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-b","jufo-1","norway-1","poland-140","russia-white-list-1","vabb-shw"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-01960797v1","doi":null,"is_oa":false,"landing_page_url":"https://hal.science/hal-01960797","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters, 2019, 16 (3), pp.337-341. ⟨10.1109/LGRS.2018.2873836⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1041279674","display_name":"MIAI @ Grenoble Alpes","funder_award_id":"ANR-19-P3IA-0003","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G1065365176","display_name":"dEposition, BecOmiNg and impact of light absorbing Impurities in snow","funder_award_id":"ANR-16-CE01-0006","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8228992622","display_name":"Innovative strategies for observing and modelling natural systems","funder_award_id":"ANR-10-LABX-0056","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W30557533","https://openalex.org/W2003896345","https://openalex.org/W2081834705","https://openalex.org/W2084252873","https://openalex.org/W2092764603","https://openalex.org/W2103794190","https://openalex.org/W2126744313","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2164405496","https://openalex.org/W2164453447","https://openalex.org/W2415341181","https://openalex.org/W2766727834","https://openalex.org/W2774132776","https://openalex.org/W2800907055","https://openalex.org/W4319993469"],"related_works":["https://openalex.org/W2766727834","https://openalex.org/W2161961865","https://openalex.org/W2774132776","https://openalex.org/W2062393593","https://openalex.org/W4220798736","https://openalex.org/W2164405496","https://openalex.org/W2031385108","https://openalex.org/W1983316600","https://openalex.org/W7101132630","https://openalex.org/W2917495457"],"abstract_inverted_index":{"A":[0],"method":[1],"based":[2],"on":[3,65],"spectral":[4,140],"unmixing":[5],"(SU)":[6],"for":[7,44],"snow":[8,58,135,182],"cover":[9,59,124,183],"estimation":[10,29,54],"from":[11,97,138],"a":[12,37,45,56,105,139],"time":[13,102,176],"series":[14,103,177],"of":[15,36,49,55,80,93,120,195,199],"optical":[16],"images":[17,99],"is":[18,116,158],"proposed":[19,62,153,156],"in":[20,100,118],"this":[21],"letter.":[22],"Specifically,":[23],"we":[24],"have":[25],"developed":[26],"an":[27,77],"endmember":[28,108],"procedure":[30],"that":[31],"exploits":[32],"the":[33,53,72,101,112,134,146,152,168,180,193,196],"temporal":[34],"continuity":[35],"scene.":[38],"Consecutive":[39],"dates":[40],"are":[41,95,126],"jointly":[42],"processed":[43],"more":[46],"precise":[47],"description":[48],"background":[50,81,147],"materials":[51,148],"improving":[52],"fractional":[57],"map.":[60],"The":[61,155,189],"workflow":[63],"relies":[64],"up":[66],"to":[67,75,83,205],"three":[68,202],"consecutive":[69],"acquisitions":[70],"over":[71,167],"same":[73],"area":[74],"extract":[76],"appropriate":[78],"set":[79,198],"spectra":[82,136],"be":[84],"considered":[85],"as":[86,132,149],"endmembers.":[87],"In":[88],"greater":[89],"details,":[90],"multiple":[91],"sets":[92],"endmembers":[94,133,200],"extracted":[96],"different":[98,203],"by":[104,129,151],"geometrical":[106],"automated":[107],"extraction":[109],"algorithm":[110],"and":[111,142,171,178],"most":[113],"relevant":[114],"one":[115],"selected":[117],"terms":[119],"reconstruction":[121],"error.":[122],"Snow":[123],"maps":[125,184],"then":[127],"estimated":[128,150,181],"SU":[130],"considering":[131,161],"coming":[137],"library":[141],"those":[143],"associated":[144],"with":[145,185],"procedure.":[154],"technique":[157],"quantitatively":[159],"validated":[160],"Moderate-Resolution":[162],"Imaging":[163],"Spectroradiometer":[164],"Terra":[165],"data":[166],"French":[169],"Alps":[170],"Moroccan":[172],"High":[173],"Atlas":[174],"image":[175],"comparing":[179],"high-resolution":[186],"reference":[187],"data.":[188],"experiment":[190],"clearly":[191],"demonstrates":[192],"effectiveness":[194],"generated":[197],"using":[201],"approaches":[204],"abundance":[206],"estimation.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2018-10-26T00:00:00"}