{"id":"https://openalex.org/W4392385417","doi":"https://doi.org/10.3390/s24051604","title":"Deep Interpolation of Remote Sensing Land Surface Temperature Data with Partial Convolutions","display_name":"Deep Interpolation of Remote Sensing Land Surface Temperature Data with Partial Convolutions","publication_year":2024,"publication_date":"2024-02-29","ids":{"openalex":"https://openalex.org/W4392385417","doi":"https://doi.org/10.3390/s24051604","pmid":"https://pubmed.ncbi.nlm.nih.gov/38475140"},"language":"en","primary_location":{"id":"doi:10.3390/s24051604","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24051604","pdf_url":"https://www.mdpi.com/1424-8220/24/5/1604/pdf?version=1709275936","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/5/1604/pdf?version=1709275936","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101536570","display_name":"Florian Huber","orcid":"https://orcid.org/0000-0002-6485-1942"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Florian Huber","raw_affiliation_strings":["Department of Computer Science IV, University of Bonn, 53121 Bonn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science IV, University of Bonn, 53121 Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103006182","display_name":"Stefan Schulz","orcid":"https://orcid.org/0009-0009-0417-5864"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Schulz","raw_affiliation_strings":["Department of Computer Science IV, University of Bonn, 53121 Bonn, Germany"],"raw_orcid":"https://orcid.org/0009-0009-0417-5864","affiliations":[{"raw_affiliation_string":"Department of Computer Science IV, University of Bonn, 53121 Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071509474","display_name":"Volker Steinhage","orcid":"https://orcid.org/0000-0002-3172-3645"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Volker Steinhage","raw_affiliation_strings":["Department of Computer Science IV, University of Bonn, 53121 Bonn, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3172-3645","affiliations":[{"raw_affiliation_string":"Department of Computer Science IV, University of Bonn, 53121 Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5071509474","https://openalex.org/A5101536570"],"corresponding_institution_ids":["https://openalex.org/I135140700"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.5432,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.54653414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"24","issue":"5","first_page":"1604","last_page":"1604"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9997000098228455,"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":0.9997000098228455,"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/T10644","display_name":"Cryospheric studies and observations","score":0.9930999875068665,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9894000291824341,"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/interpolation","display_name":"Interpolation (computer graphics)","score":0.8213033676147461},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6818970441818237},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5265032649040222},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5254793763160706},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.48420050740242004},{"id":"https://openalex.org/keywords/multivariate-interpolation","display_name":"Multivariate interpolation","score":0.44154274463653564},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.42799222469329834},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4184499680995941},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3659980297088623},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3533325493335724},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3403511345386505},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3276202082633972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26536238193511963},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23718556761741638},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19920071959495544},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17631259560585022},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16990387439727783},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11405304074287415}],"concepts":[{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.8213033676147461},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6818970441818237},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5265032649040222},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5254793763160706},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.48420050740242004},{"id":"https://openalex.org/C203332170","wikidata":"https://www.wikidata.org/wiki/Q6334079","display_name":"Multivariate interpolation","level":3,"score":0.44154274463653564},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.42799222469329834},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4184499680995941},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3659980297088623},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3533325493335724},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3403511345386505},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3276202082633972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26536238193511963},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23718556761741638},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19920071959495544},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17631259560585022},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16990387439727783},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11405304074287415},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24051604","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24051604","pdf_url":"https://www.mdpi.com/1424-8220/24/5/1604/pdf?version=1709275936","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:38475140","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38475140","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10934100","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10934100","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10934100/pdf/sensors-24-01604.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:f310f89cecee423ca7bc57683eb48db0","is_oa":false,"landing_page_url":"https://doaj.org/article/f310f89cecee423ca7bc57683eb48db0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 5, p 1604 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24051604","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24051604","pdf_url":"https://www.mdpi.com/1424-8220/24/5/1604/pdf?version=1709275936","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6338671427","display_name":null,"funder_award_id":"FKZ 28DK128B20","funder_id":"https://openalex.org/F4320323499","funder_display_name":"Bundesministerium f\u00fcr Ern\u00e4hrung und Landwirtschaft"}],"funders":[{"id":"https://openalex.org/F4320323499","display_name":"Bundesministerium f\u00fcr Ern\u00e4hrung und Landwirtschaft","ror":"https://ror.org/04jw21793"},{"id":"https://openalex.org/F4320326464","display_name":"Bundesamt f\u00fcr Landwirtschaft","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4392385417.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1647380342","https://openalex.org/W1901129140","https://openalex.org/W1982651924","https://openalex.org/W1991675385","https://openalex.org/W1993120651","https://openalex.org/W2074772891","https://openalex.org/W2097795807","https://openalex.org/W2113207845","https://openalex.org/W2169278316","https://openalex.org/W2293078015","https://openalex.org/W2557414982","https://openalex.org/W2725897987","https://openalex.org/W2777168572","https://openalex.org/W2778147634","https://openalex.org/W2798365772","https://openalex.org/W2949676527","https://openalex.org/W2955430653","https://openalex.org/W2963420272","https://openalex.org/W3000332379","https://openalex.org/W3002472908","https://openalex.org/W3026098904","https://openalex.org/W3094253649","https://openalex.org/W3105642833","https://openalex.org/W3202729355","https://openalex.org/W4221002889","https://openalex.org/W4296970127","https://openalex.org/W4376851211","https://openalex.org/W4387702789","https://openalex.org/W6765390150"],"related_works":["https://openalex.org/W2045588195","https://openalex.org/W2362697663","https://openalex.org/W2381198209","https://openalex.org/W3180612984","https://openalex.org/W2989592345","https://openalex.org/W2363866393","https://openalex.org/W2512393538","https://openalex.org/W4382867132","https://openalex.org/W2090516583","https://openalex.org/W2484343560"],"abstract_inverted_index":{"Land":[0],"Surface":[1],"Temperature":[2],"(LST)":[3],"is":[4,38,101],"an":[5],"important":[6],"resource":[7],"for":[8,200],"a":[9,32,139,149,188],"variety":[10],"of":[11,18,76,87,91,163,198,208,220,227,241,252],"tasks.":[12],"The":[13,159,237],"data":[14,29,59,100,147,245],"are":[15,176],"mostly":[16],"free":[17],"charge":[19],"and":[20,24,126,178],"combine":[21],"high":[22,89,242],"spatial":[23],"temporal":[25],"resolution":[26,90,243],"with":[27,133,184],"reliable":[28],"collection":[30],"over":[31],"historical":[33],"timeframe.":[34],"When":[35],"remote":[36,144,253],"sensing":[37,145,254],"used":[39],"to":[40,56,83,97,142,212,217],"provide":[41,225],"LST":[42,99,146,166,199,233,244,255],"data,":[43],"such":[44,105],"as":[45,106],"the":[46,52,70,77,88,92,123,134,165,172,180,196,218,249],"MODA11":[47],"product":[48],"using":[49],"information":[50],"from":[51,167],"MODIS":[53],"sensors":[54],"attached":[55],"NASA":[57],"satellites,":[58],"acquisition":[60],"can":[61,131,224],"be":[62],"hindered":[63],"by":[64,204],"clouds":[65],"or":[66,109],"cloud":[67],"shadows,":[68],"occluding":[69],"sensors'":[71],"view":[72],"on":[73],"different":[74],"areas":[75],"world.":[78],"This":[79],"makes":[80],"it":[81],"difficult":[82],"take":[84],"full":[85,250],"advantage":[86],"data.":[93,256],"A":[94],"common":[95],"solution":[96],"interpolating":[98,143,179],"statistical":[102,214],"interpolation":[103,135,197],"methods,":[104],"fitting":[107],"polynomials":[108],"thin":[110],"plate":[111],"spine":[112],"interpolation.":[113],"These":[114],"methods":[115],"have":[116],"difficulties":[117],"in":[118,148,206],"incorporating":[119],"additional":[120],"knowledge":[121],"about":[122],"research":[124,151,202],"area":[125,152,203],"learning":[127,164,191],"local":[128,154],"dependencies":[129],"that":[130],"help":[132,247],"process.":[136],"We":[137],"propose":[138],"novel":[140],"approach":[141,161,194],"fixed":[150],"considering":[153],"ground-site":[155,173],"air":[156,168,221],"temperature":[157,169],"measurements.":[158],"two-step":[160],"consists":[162],"measurements,":[170],"where":[171],"weather":[174],"stations":[175],"located,":[177],"remaining":[181],"missing":[182],"values":[183],"partial":[185],"convolutions":[186],"within":[187],"U-Net":[189],"deep":[190],"architecture.":[192],"Our":[193],"improves":[195],"our":[201],"44%":[205],"terms":[207],"RMSE,":[209],"when":[210,230],"compared":[211],"state-of-the-art":[213],"methods.":[215],"Due":[216],"use":[219],"temperature,":[222],"we":[223],"coverage":[226,240],"100%,":[228],"even":[229],"no":[231],"valid":[232],"measurements":[234],"were":[235],"available.":[236],"resulting":[238],"gapless":[239],"will":[246],"unlock":[248],"potential":[251]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}