{"id":"https://openalex.org/W3207085072","doi":"https://doi.org/10.1109/igarss47720.2021.9554356","title":"A Method of Retrieving 10-m Spectral Surface Albedo Products from Sentinel-2 and MODIS data","display_name":"A Method of Retrieving 10-m Spectral Surface Albedo Products from Sentinel-2 and MODIS data","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207085072","doi":"https://doi.org/10.1109/igarss47720.2021.9554356","mag":"3207085072"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554356","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10149985/1/IGARSS_2021_RS_JPM_AF.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014025784","display_name":"Rui Song","orcid":"https://orcid.org/0000-0002-3744-695X"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rui Song","raw_affiliation_strings":["Imaging Group, MSSL, University College London, Surrey, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imaging Group, MSSL, University College London, Surrey, UK","institution_ids":["https://openalex.org/I28290843","https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026635713","display_name":"Jan\u2010Peter M\u00fcller","orcid":"https://orcid.org/0000-0002-5077-3736"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jan-Peter Muller","raw_affiliation_strings":["Imaging Group, MSSL, University College London, Surrey, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imaging Group, MSSL, University College London, Surrey, UK","institution_ids":["https://openalex.org/I28290843","https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045313639","display_name":"Alistair Francis","orcid":"https://orcid.org/0000-0003-4613-2140"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alistair Francis","raw_affiliation_strings":["Imaging Group, MSSL, University College London, Surrey, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imaging Group, MSSL, University College London, Surrey, UK","institution_ids":["https://openalex.org/I28290843","https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1129,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49646397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2381","last_page":"2384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9945999979972839,"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/T10347","display_name":"Atmospheric aerosols and clouds","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/albedo","display_name":"Albedo (alchemy)","score":0.8315834999084473},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.7954927682876587},{"id":"https://openalex.org/keywords/bidirectional-reflectance-distribution-function","display_name":"Bidirectional reflectance distribution function","score":0.795142650604248},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7798378467559814},{"id":"https://openalex.org/keywords/atmospheric-correction","display_name":"Atmospheric correction","score":0.6133444309234619},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5730072259902954},{"id":"https://openalex.org/keywords/atmosphere","display_name":"Atmosphere (unit)","score":0.5385950207710266},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.4626529812812805},{"id":"https://openalex.org/keywords/atmospheric-model","display_name":"Atmospheric model","score":0.44842463731765747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3866107761859894},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3213483393192291},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.247614324092865},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.23664110898971558},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11031192541122437},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10151410102844238},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06583893299102783}],"concepts":[{"id":"https://openalex.org/C195886398","wikidata":"https://www.wikidata.org/wiki/Q2110050","display_name":"Albedo (alchemy)","level":3,"score":0.8315834999084473},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.7954927682876587},{"id":"https://openalex.org/C151596937","wikidata":"https://www.wikidata.org/wiki/Q856980","display_name":"Bidirectional reflectance distribution function","level":3,"score":0.795142650604248},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7798378467559814},{"id":"https://openalex.org/C2778329001","wikidata":"https://www.wikidata.org/wiki/Q4817104","display_name":"Atmospheric correction","level":3,"score":0.6133444309234619},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5730072259902954},{"id":"https://openalex.org/C65440619","wikidata":"https://www.wikidata.org/wiki/Q177974","display_name":"Atmosphere (unit)","level":2,"score":0.5385950207710266},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.4626529812812805},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.44842463731765747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3866107761859894},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3213483393192291},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.247614324092865},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.23664110898971558},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11031192541122437},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10151410102844238},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06583893299102783},{"id":"https://openalex.org/C554144382","wikidata":"https://www.wikidata.org/wiki/Q213156","display_name":"Performance art","level":2,"score":0.0},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554356","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10149985","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10149985/","pdf_url":"https://discovery.ucl.ac.uk/10149985/1/IGARSS_2021_RS_JPM_AF.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  International Geoscience and Remote Sensing Symposium (IGARSS).  (pp. pp. 2381-2384).  IEEE: Brussels, Belgium. (2021)     ","raw_type":"Proceedings paper"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10149985","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10149985/","pdf_url":"https://discovery.ucl.ac.uk/10149985/1/IGARSS_2021_RS_JPM_AF.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  International Geoscience and Remote Sensing Symposium (IGARSS).  (pp. pp. 2381-2384).  IEEE: Brussels, Belgium. (2021)     ","raw_type":"Proceedings paper"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1142285091","display_name":null,"funder_award_id":"DFG, INST 186/1118-1 FUGG","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3207085072.pdf","grobid_xml":"https://content.openalex.org/works/W3207085072.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W2114486983","https://openalex.org/W2147043781","https://openalex.org/W2154908941","https://openalex.org/W2889410258","https://openalex.org/W2979481925","https://openalex.org/W3009584020","https://openalex.org/W3095279503"],"related_works":["https://openalex.org/W2014945865","https://openalex.org/W2773828241","https://openalex.org/W2107769888","https://openalex.org/W2092700723","https://openalex.org/W200080126","https://openalex.org/W2136049150","https://openalex.org/W2031888010","https://openalex.org/W2140481855","https://openalex.org/W1992176328","https://openalex.org/W2154720324"],"abstract_inverted_index":{"This":[0,39],"study":[1],"proposed":[2],"a":[3,26,84],"new":[4,102],"method":[5,68],"of":[6,46,127],"retrieving":[7],"10-m":[8],"spectral":[9],"surface":[10,21,71,97],"albedo":[11,22,110],"products.":[12],"Three":[13],"crucial":[14],"components":[15],"are":[16,76,121],"incorporated":[17],"into":[18],"this":[19],"high-resolution":[20,109,112],"generation":[23],"system.":[24],"Firstly,":[25],"deep":[27],"learning":[28],"system,":[29],"CloudFCN":[30],"based":[31],"on":[32],"the":[33,41,58,70,80,88,128,132],"U-net":[34],"paradigm":[35],"has":[36],"been":[37],"developed.":[38],"produces":[40],"best":[42],"available":[43],"cloud":[44],"detection":[45],"any":[47],"algorithm":[48],"published":[49],"to":[50,95,107],"date.":[51],"Secondly,":[52],"an":[53,100],"advanced":[54],"atmospheric":[55],"correction":[56,82],"model,":[57],"Sensor":[59],"Invariant":[60],"Atmospheric":[61],"Correction":[62],"(SIAC)":[63],"is":[64,83],"employed.":[65],"The":[66],"SIAC":[67],"considers":[69],"BRDF":[72],"effects":[73],"as":[74],"these":[75],"usually":[77],"ignored,":[78],"because":[79],"atmosphere":[81],"large":[85],"signal":[86],"and":[87,131],"largest":[89],"uncertainty":[90],"in":[91],"converting":[92],"top-of-atmosphere":[93],"reflectance":[94,113],"top-of-canopy":[96],"reflectance.":[98],"Thirdly,":[99],"endmember-based":[101],"technology":[103],"will":[104],"be":[105],"used":[106],"retrieve":[108],"from":[111],"by":[114],"combining":[115],"downscaled":[116],"MODIS":[117],"BRDF.":[118],"These":[119],"methods":[120],"further":[122],"described":[123],"alongside":[124],"results":[125],"shown":[126],"different":[129],"stages":[130],"final":[133],"high":[134],"resolution":[135],"albedo.":[136]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}