{"id":"https://openalex.org/W2121962096","doi":"https://doi.org/10.1109/igarss.2004.1370649","title":"Multi-sensor and time-series approaches for monitoring of snow parameters","display_name":"Multi-sensor and time-series approaches for monitoring of snow parameters","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W2121962096","doi":"https://doi.org/10.1109/igarss.2004.1370649","mag":"2121962096"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2004.1370649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1370649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","raw_type":"proceedings-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/A5098257617","display_name":"R. Solberg","orcid":null},"institutions":[{"id":"https://openalex.org/I144648426","display_name":"Norwegian Computing Center","ror":"https://ror.org/02gm7te43","country_code":"NO","type":"nonprofit","lineage":["https://openalex.org/I144648426"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Jostein Amlien Rune Solberg","raw_affiliation_strings":["Norwegian Comput. Center, Oslo"],"affiliations":[{"raw_affiliation_string":"Norwegian Comput. Center, Oslo","institution_ids":["https://openalex.org/I144648426"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5098257617"],"corresponding_institution_ids":["https://openalex.org/I144648426"],"apc_list":null,"apc_paid":null,"fwci":1.0363,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.7780703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"1661","last_page":"1666"},"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":0.9977999925613403,"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":0.9977999925613403,"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/pixel","display_name":"Pixel","score":0.7740548849105835},{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.7597520351409912},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6774592399597168},{"id":"https://openalex.org/keywords/snowmelt","display_name":"Snowmelt","score":0.6713739633560181},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6143063306808472},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6014106869697571},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.49644380807876587},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.46245479583740234},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45183998346328735},{"id":"https://openalex.org/keywords/special-sensor-microwave/imager","display_name":"Special sensor microwave/imager","score":0.4183309078216553},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.41082531213760376},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.4104804992675781},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.38208064436912537},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.23764121532440186},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1717115342617035},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12415137887001038},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10540974140167236},{"id":"https://openalex.org/keywords/microwave","display_name":"Microwave","score":0.09471109509468079}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7740548849105835},{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.7597520351409912},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6774592399597168},{"id":"https://openalex.org/C64649846","wikidata":"https://www.wikidata.org/wiki/Q1754697","display_name":"Snowmelt","level":3,"score":0.6713739633560181},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6143063306808472},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6014106869697571},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.49644380807876587},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.46245479583740234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45183998346328735},{"id":"https://openalex.org/C2776422048","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Special sensor microwave/imager","level":4,"score":0.4183309078216553},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.41082531213760376},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4104804992675781},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.38208064436912537},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.23764121532440186},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1717115342617035},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12415137887001038},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10540974140167236},{"id":"https://openalex.org/C44838205","wikidata":"https://www.wikidata.org/wiki/Q127995","display_name":"Microwave","level":2,"score":0.09471109509468079},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C53802167","wikidata":"https://www.wikidata.org/wiki/Q4538627","display_name":"Brightness temperature","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2004.1370649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1370649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.324.688","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://publications.nr.no/IGARSS-2004-paper-multisensor-snow.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W132005462","https://openalex.org/W1871566584","https://openalex.org/W1964069917","https://openalex.org/W2013077072","https://openalex.org/W2053396786","https://openalex.org/W2101677516","https://openalex.org/W2114376053","https://openalex.org/W2164453447","https://openalex.org/W2164558649","https://openalex.org/W6605343535"],"related_works":["https://openalex.org/W277764685","https://openalex.org/W786988240","https://openalex.org/W294487563","https://openalex.org/W1550223836","https://openalex.org/W4309718285","https://openalex.org/W3205829146","https://openalex.org/W4255364280","https://openalex.org/W2048713762","https://openalex.org/W4249377981","https://openalex.org/W2050167579"],"abstract_inverted_index":{"Frequent":[0],"mapping":[1],"of":[2,50,130,141,153,172,184],"snow":[3,6,11,135],"parameters,":[4],"like":[5],"cover":[7],"area":[8,208],"(SCA)":[9],"and":[10,22,52,71,86,161,168,200,212,222],"surface":[12],"wetness":[13],"(SSW),":[14],"is":[15,40,80,101,109,155,209],"important":[16],"for":[17,35,65,111,197,203],"applications":[18],"in":[19,74,191,220],"hydrology,":[20],"meteorology":[21],"climatology.":[23],"In":[24],"this":[25,75,192],"study,":[26],"we":[27],"have":[28,68],"developed":[29,70],"a":[30,44,47,90,104,148,158,169],"few":[31,63],"general":[32],"multi-sensor/time-series":[33,66],"approaches":[34],"such":[36],"monitoring.":[37],"The":[38,115,138,151,174,188,206],"objective":[39],"to":[41,81,97],"analyze,":[42],"on":[43,157,216],"daily":[45],"basis,":[46],"time":[48,139],"series":[49,140],"optical":[51,198],"Synthetic":[53],"Aperture":[54],"Radar":[55],"(SAR)":[56],"data":[57,199],"together":[58],"producing":[59],"sensor-independent":[60],"products.":[61],"A":[62,77],"algorithms":[64],"processing":[67],"been":[69],"are":[72,144,195],"compared":[73],"study.":[76],"typical":[78],"approach":[79],"analyze":[82],"each":[83,94,112,164],"image":[84,95,113],"individually":[85],"combine":[87],"them":[88],"into":[89,120,147],"day":[91,99,142],"product.":[92,150],"How":[93],"contributes":[96],"the":[98,124,180,185,213,217],"products":[100,143,154],"controlled":[102,162],"by":[103,163],"pixel-by-pixel":[105,159],"confidence":[106,116,167],"value":[107],"that":[108],"computed":[110],"analyzed.":[114],"algorithm":[117,193],"may":[118],"take":[119],"account":[121],"information":[122,133],"about":[123,134],"local":[125],"observation":[126],"angle/IFOV":[127],"size,":[128],"probability":[129],"clouds,":[131],"prior":[132],"state,":[136],"etc.":[137],"then":[145,178],"combined":[146],"multi-sensor/multi-temporal":[149],"combination":[152],"done":[156],"basis":[160],"individual":[165],"product/pixel's":[166],"decay":[170],"function":[171],"time.":[173],"\"multi":[175],"product\"":[176],"should":[177],"represent":[179],"most":[181],"likely":[182],"status":[183],"monitored":[186],"variable.":[187],"sensors":[189],"applied":[190],"study":[194,207,214],"MODIS":[196],"ENVISAT":[201],"ASAR":[202],"SAR":[204],"data.":[205],"South":[210],"Norway,":[211],"focuses":[215],"snowmelt":[218],"seasons":[219],"2003":[221],"2004":[223]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}