{"id":"https://openalex.org/W4400984526","doi":"https://doi.org/10.3390/rs16152720","title":"One Algorithm to Rule Them All? Defining Best Strategy for Land Surface Temperature Retrieval from NOAA-AVHRR Afternoon Satellites","display_name":"One Algorithm to Rule Them All? Defining Best Strategy for Land Surface Temperature Retrieval from NOAA-AVHRR Afternoon Satellites","publication_year":2024,"publication_date":"2024-07-25","ids":{"openalex":"https://openalex.org/W4400984526","doi":"https://doi.org/10.3390/rs16152720"},"language":"en","primary_location":{"id":"doi:10.3390/rs16152720","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16152720","pdf_url":"https://www.mdpi.com/2072-4292/16/15/2720/pdf?version=1721893256","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/2072-4292/16/15/2720/pdf?version=1721893256","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048051591","display_name":"Y. Julien","orcid":"https://orcid.org/0000-0001-5334-7137"},"institutions":[{"id":"https://openalex.org/I2801097182","display_name":"Parc Cient\u00edfic de la Universitat de Val\u00e8ncia","ror":"https://ror.org/04rb60x98","country_code":"ES","type":"education","lineage":["https://openalex.org/I2801097182"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Yves Julien","raw_affiliation_strings":["Global Change Unit, Image Processing Laboratory, University of Valencia, 46980 Paterna, Spain"],"affiliations":[{"raw_affiliation_string":"Global Change Unit, Image Processing Laboratory, University of Valencia, 46980 Paterna, Spain","institution_ids":["https://openalex.org/I2801097182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043779152","display_name":"Jos\u00e9 A. Sobrino","orcid":"https://orcid.org/0000-0003-3787-9373"},"institutions":[{"id":"https://openalex.org/I2801097182","display_name":"Parc Cient\u00edfic de la Universitat de Val\u00e8ncia","ror":"https://ror.org/04rb60x98","country_code":"ES","type":"education","lineage":["https://openalex.org/I2801097182"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 A. Sobrino","raw_affiliation_strings":["Global Change Unit, Image Processing Laboratory, University of Valencia, 46980 Paterna, Spain"],"affiliations":[{"raw_affiliation_string":"Global Change Unit, Image Processing Laboratory, University of Valencia, 46980 Paterna, Spain","institution_ids":["https://openalex.org/I2801097182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004001049","display_name":"Juan C. Jim\u00e9nez\u2010Mu\u00f1oz","orcid":"https://orcid.org/0000-0001-7562-4895"},"institutions":[{"id":"https://openalex.org/I2801097182","display_name":"Parc Cient\u00edfic de la Universitat de Val\u00e8ncia","ror":"https://ror.org/04rb60x98","country_code":"ES","type":"education","lineage":["https://openalex.org/I2801097182"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan-Carlos Jim\u00e9nez-Mu\u00f1oz","raw_affiliation_strings":["Global Change Unit, Image Processing Laboratory, University of Valencia, 46980 Paterna, Spain"],"affiliations":[{"raw_affiliation_string":"Global Change Unit, Image Processing Laboratory, University of Valencia, 46980 Paterna, Spain","institution_ids":["https://openalex.org/I2801097182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048051591"],"corresponding_institution_ids":["https://openalex.org/I2801097182"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.4271,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57874692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"16","issue":"15","first_page":"2720","last_page":"2720"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10029","display_name":"Climate variability and models","score":0.9954000115394592,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9912999868392944,"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/advanced-very-high-resolution-radiometer","display_name":"Advanced very-high-resolution radiometer","score":0.7810689806938171},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.6265895366668701},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5710754990577698},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5428285002708435},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4949590563774109},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4898054301738739},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4866228997707367},{"id":"https://openalex.org/keywords/sea-surface-temperature","display_name":"Sea surface temperature","score":0.44121846556663513},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4315643012523651},{"id":"https://openalex.org/keywords/atmospheric-correction","display_name":"Atmospheric correction","score":0.42087388038635254},{"id":"https://openalex.org/keywords/radiometer","display_name":"Radiometer","score":0.4111626148223877},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14799907803535461},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12115782499313354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1061336100101471}],"concepts":[{"id":"https://openalex.org/C2777480484","wikidata":"https://www.wikidata.org/wiki/Q300146","display_name":"Advanced very-high-resolution radiometer","level":3,"score":0.7810689806938171},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6265895366668701},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5710754990577698},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5428285002708435},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4949590563774109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4898054301738739},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4866228997707367},{"id":"https://openalex.org/C134097258","wikidata":"https://www.wikidata.org/wiki/Q1507383","display_name":"Sea surface temperature","level":2,"score":0.44121846556663513},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4315643012523651},{"id":"https://openalex.org/C2778329001","wikidata":"https://www.wikidata.org/wiki/Q4817104","display_name":"Atmospheric correction","level":3,"score":0.42087388038635254},{"id":"https://openalex.org/C120189094","wikidata":"https://www.wikidata.org/wiki/Q850281","display_name":"Radiometer","level":2,"score":0.4111626148223877},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14799907803535461},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12115782499313354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1061336100101471},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16152720","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16152720","pdf_url":"https://www.mdpi.com/2072-4292/16/15/2720/pdf?version=1721893256","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:51679cb604ca4b3a95ae3a0d54946d22","is_oa":true,"landing_page_url":"https://doaj.org/article/51679cb604ca4b3a95ae3a0d54946d22","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 15, p 2720 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16152720","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16152720","pdf_url":"https://www.mdpi.com/2072-4292/16/15/2720/pdf?version=1721893256","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":[{"display_name":"Life below water","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400984526.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1573023221","https://openalex.org/W1957671393","https://openalex.org/W1968327618","https://openalex.org/W1969394913","https://openalex.org/W1980409735","https://openalex.org/W1985078701","https://openalex.org/W1997972644","https://openalex.org/W2006476353","https://openalex.org/W2011195592","https://openalex.org/W2033600080","https://openalex.org/W2033782096","https://openalex.org/W2062493000","https://openalex.org/W2063612292","https://openalex.org/W2068481519","https://openalex.org/W2073201099","https://openalex.org/W2089550722","https://openalex.org/W2099395432","https://openalex.org/W2103541076","https://openalex.org/W2110614570","https://openalex.org/W2113818509","https://openalex.org/W2123579413","https://openalex.org/W2124306732","https://openalex.org/W2125557564","https://openalex.org/W2137533887","https://openalex.org/W2164536146","https://openalex.org/W2169278316","https://openalex.org/W2171157338","https://openalex.org/W2174824625","https://openalex.org/W2499464888","https://openalex.org/W2588119225","https://openalex.org/W2946644377","https://openalex.org/W3007100841","https://openalex.org/W3208932782","https://openalex.org/W4238574999","https://openalex.org/W6667488856","https://openalex.org/W6774618141"],"related_works":["https://openalex.org/W2145833637","https://openalex.org/W2043966784","https://openalex.org/W2122753745","https://openalex.org/W2019869289","https://openalex.org/W2908927426","https://openalex.org/W2005471402","https://openalex.org/W251974138","https://openalex.org/W2069286951","https://openalex.org/W1990464677","https://openalex.org/W2034386654"],"abstract_inverted_index":{"The":[0],"NOAA-AVHRR":[1,71],"(National":[2],"Oceanographic":[3],"and":[4,49,111],"Atmospheric":[5],"Administration\u2013Advanced":[6],"Very":[7],"High-Resolution":[8],"Radiometer)":[9],"archive":[10],"includes":[11],"data":[12],"from":[13,70],"1981":[14],"onwards,":[15],"which":[16,74,80],"allow":[17],"for":[18,27,40,65,142,160,170],"estimating":[19],"land":[20],"surface":[21,36],"temperature":[22],"(LST),":[23],"a":[24,112],"key":[25],"parameter":[26],"the":[28,46,97,124,143,147,161,164],"study":[29],"of":[30,63,123,137,146,163],"global":[31],"warming":[32],"as":[33,35,87,89],"well":[34,88],"characterization.":[37],"However,":[38],"algorithms":[39,126],"LST":[41,67],"retrieval":[42,68],"were":[43,50],"developed":[44],"before":[45],"latest":[47],"sensors":[48],"based":[51],"on":[52],"more":[53,171],"reduced":[54],"atmospheric":[55],"datasets.":[56],"Here,":[57],"we":[58,75,81,158],"present":[59],"50":[60],"novel":[61,125],"sets":[62],"coefficients":[64],"an":[66,104],"algorithm":[69,99],"sensors,":[72],"to":[73],"added":[76],"one":[77],"historical":[78,84,98,165],"methodology,":[79],"validate":[82],"against":[83],"in":[85,105],"situ":[86,106],"independent":[90,118],"satellite":[91,119],"data.":[92,120],"This":[93],"validation":[94],"shows":[95],"that":[96],"performs":[100],"surprisingly":[101],"well,":[102],"with":[103,117,155],"RMSE":[107],"below":[108,132],"1.5":[109,133],"K":[110],"quasi-null":[113],"bias":[114],"when":[115],"compared":[116],"A":[121],"couple":[122],"also":[127,168],"perform":[128],"within":[129],"expectations":[130],"(errors":[131],"K),":[134],"so":[135],"any":[136],"these":[138],"could":[139],"be":[140],"used":[141],"complete":[144],"processing":[145],"AVHRR":[148],"dataset.":[149],"In":[150],"our":[151],"case,":[152],"considering":[153],"consistency":[154],"previous":[156],"works,":[157],"opt":[159],"use":[162],"algorithm,":[166],"now":[167],"tested":[169],"recent":[172],"periods.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}