{"id":"https://openalex.org/W3131223331","doi":"https://doi.org/10.1109/igarss39084.2020.9324007","title":"Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine","display_name":"Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3131223331","doi":"https://doi.org/10.1109/igarss39084.2020.9324007","mag":"3131223331"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9324007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","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/A5028819728","display_name":"\u00c1lvaro Moreno\u2010Mart\u00ednez","orcid":"https://orcid.org/0000-0003-2990-7768"},"institutions":[{"id":"https://openalex.org/I6750721","display_name":"University of Montana","ror":"https://ror.org/0078xmk34","country_code":"US","type":"education","lineage":["https://openalex.org/I6750721"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alvaro Moreno-Martinez","raw_affiliation_strings":["Numerical Terradynamic Simulation Group (NTSG), University of Montana, USA"],"affiliations":[{"raw_affiliation_string":"Numerical Terradynamic Simulation Group (NTSG), University of Montana, USA","institution_ids":["https://openalex.org/I6750721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082220927","display_name":"Emma Izquierdo\u2010Verdiguier","orcid":"https://orcid.org/0000-0003-2179-1262"},"institutions":[{"id":"https://openalex.org/I92869138","display_name":"BOKU University","ror":"https://ror.org/057ff4y42","country_code":"AT","type":"education","lineage":["https://openalex.org/I92869138"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Emma Izquierdo-Verdiguier","raw_affiliation_strings":["Institute of Geomatics, University of Natural Resources and Life Sciences (BOKU), Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Geomatics, University of Natural Resources and Life Sciences (BOKU), Austria","institution_ids":["https://openalex.org/I92869138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039052506","display_name":"Gustau Camps\u2010Valls","orcid":"https://orcid.org/0000-0003-1683-2138"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Gustau Camps-Valls","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Spain"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068810223","display_name":"Marco Moneta","orcid":null},"institutions":[{"id":"https://openalex.org/I6750721","display_name":"University of Montana","ror":"https://ror.org/0078xmk34","country_code":"US","type":"education","lineage":["https://openalex.org/I6750721"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marco Moneta","raw_affiliation_strings":["University of Montana, USA"],"affiliations":[{"raw_affiliation_string":"University of Montana, USA","institution_ids":["https://openalex.org/I6750721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085480844","display_name":"Jordi Mu\u00f1oz-Mar\u0131\u0301","orcid":"https://orcid.org/0000-0002-3014-3921"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jordi Munoz-Mari","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Spain"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034919236","display_name":"Nathaniel Robinson","orcid":"https://orcid.org/0000-0002-8055-5270"},"institutions":[{"id":"https://openalex.org/I6750721","display_name":"University of Montana","ror":"https://ror.org/0078xmk34","country_code":"US","type":"education","lineage":["https://openalex.org/I6750721"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathaniel Robinson","raw_affiliation_strings":["Numerical Terradynamic Simulation Group (NTSG), University of Montana, USA"],"affiliations":[{"raw_affiliation_string":"Numerical Terradynamic Simulation Group (NTSG), University of Montana, USA","institution_ids":["https://openalex.org/I6750721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079925438","display_name":"Jos\u00e9 E. Adsuara","orcid":"https://orcid.org/0000-0002-3842-965X"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose E. Adsuara","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Spain"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047808140","display_name":"Manuel Campos\u2010Taberner","orcid":"https://orcid.org/0000-0001-5929-3942"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Manuel Campos","raw_affiliation_strings":["UV-Environmental Remote Sensing Group (UV-ERS), Universitat de Val\u00e8ncia, Spain"],"affiliations":[{"raw_affiliation_string":"UV-Environmental Remote Sensing Group (UV-ERS), Universitat de Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030690607","display_name":"Francisco Javier Garc\u0131\u0301a-Haro","orcid":"https://orcid.org/0000-0001-5888-0061"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Javier Garcia-Haro","raw_affiliation_strings":["UV-Environmental Remote Sensing Group (UV-ERS), Universitat de Val\u00e8ncia, Spain"],"affiliations":[{"raw_affiliation_string":"UV-Environmental Remote Sensing Group (UV-ERS), Universitat de Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075942161","display_name":"Adri\u00e1n P\u00e9rez-Portero","orcid":"https://orcid.org/0000-0003-2736-1028"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Adrian Perez","raw_affiliation_strings":["Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Spain"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory (IPL), Universitat de Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009411735","display_name":"Nicholas Clinton","orcid":"https://orcid.org/0000-0002-1112-1006"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas Clinton","raw_affiliation_strings":["Google, Inc., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Inc., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012801147","display_name":"John S. Kimball","orcid":"https://orcid.org/0000-0002-5493-5878"},"institutions":[{"id":"https://openalex.org/I6750721","display_name":"University of Montana","ror":"https://ror.org/0078xmk34","country_code":"US","type":"education","lineage":["https://openalex.org/I6750721"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Kimball","raw_affiliation_strings":["Numerical Terradynamic Simulation Group (NTSG), University of Montana, USA"],"affiliations":[{"raw_affiliation_string":"Numerical Terradynamic Simulation Group (NTSG), University of Montana, USA","institution_ids":["https://openalex.org/I6750721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082050789","display_name":"Steven W. Running","orcid":"https://orcid.org/0000-0001-6906-3841"},"institutions":[{"id":"https://openalex.org/I6750721","display_name":"University of Montana","ror":"https://ror.org/0078xmk34","country_code":"US","type":"education","lineage":["https://openalex.org/I6750721"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven W. Running","raw_affiliation_strings":["Numerical Terradynamic Simulation Group (NTSG), University of Montana, USA"],"affiliations":[{"raw_affiliation_string":"Numerical Terradynamic Simulation Group (NTSG), University of Montana, USA","institution_ids":["https://openalex.org/I6750721"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":13,"corresponding_author_ids":["https://openalex.org/A5028819728"],"corresponding_institution_ids":["https://openalex.org/I6750721"],"apc_list":null,"apc_paid":null,"fwci":0.3157,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63845383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"2320","last_page":"2323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998999834060669,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9958999752998352,"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/T10895","display_name":"Species Distribution and Climate Change","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/remote-sensing","display_name":"Remote sensing","score":0.8143001198768616},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.7300198078155518},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.7133265137672424},{"id":"https://openalex.org/keywords/photosynthetically-active-radiation","display_name":"Photosynthetically active radiation","score":0.7094146013259888},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.5979523062705994},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.577305257320404},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.48689785599708557},{"id":"https://openalex.org/keywords/bidirectional-reflectance-distribution-function","display_name":"Bidirectional reflectance distribution function","score":0.46899011731147766},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.44211259484291077},{"id":"https://openalex.org/keywords/arid","display_name":"Arid","score":0.42835038900375366},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2112290859222412},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.13481780886650085},{"id":"https://openalex.org/keywords/photosynthesis","display_name":"Photosynthesis","score":0.07818931341171265}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.8143001198768616},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.7300198078155518},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.7133265137672424},{"id":"https://openalex.org/C131366478","wikidata":"https://www.wikidata.org/wiki/Q900892","display_name":"Photosynthetically active radiation","level":3,"score":0.7094146013259888},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.5979523062705994},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.577305257320404},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.48689785599708557},{"id":"https://openalex.org/C151596937","wikidata":"https://www.wikidata.org/wiki/Q856980","display_name":"Bidirectional reflectance distribution function","level":3,"score":0.46899011731147766},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.44211259484291077},{"id":"https://openalex.org/C150772632","wikidata":"https://www.wikidata.org/wiki/Q1330709","display_name":"Arid","level":2,"score":0.42835038900375366},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2112290859222412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.13481780886650085},{"id":"https://openalex.org/C183688256","wikidata":"https://www.wikidata.org/wiki/Q11982","display_name":"Photosynthesis","level":2,"score":0.07818931341171265},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9324007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G5883926154","display_name":null,"funder_award_id":"647423","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"},{"id":"https://openalex.org/G610943478","display_name":null,"funder_award_id":"NNX08AG87A","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1554663460","https://openalex.org/W1914247615","https://openalex.org/W2081399384","https://openalex.org/W2151456308","https://openalex.org/W2153243519","https://openalex.org/W2901270132","https://openalex.org/W2932791400","https://openalex.org/W3037983056","https://openalex.org/W4388297464"],"related_works":["https://openalex.org/W2367469621","https://openalex.org/W2052409860","https://openalex.org/W2149158092","https://openalex.org/W91543116","https://openalex.org/W3162160213","https://openalex.org/W3131255761","https://openalex.org/W2115049406","https://openalex.org/W2042396956","https://openalex.org/W2392037736","https://openalex.org/W2912763086"],"abstract_inverted_index":{"High":[0],"spatial":[1,113],"resolution":[2],"vegetation":[3,24,120],"products":[4,25,102,121],"are":[5,42],"fundamental":[6],"in":[7],"different":[8],"fields,":[9],"such":[10,26],"as":[11,27],"improving":[12],"the":[13,28,34,61,77,89,92,99,125],"understanding":[14],"of":[15,36,65],"crop":[16],"seasonality":[17],"at":[18,44,110],"regional":[19],"scales.":[20,46],"Here,":[21],"two":[22],"new":[23],"Leaf":[29],"Area":[30],"Index":[31],"(LAI)":[32],"and":[33,73,98,103,131],"Fraction":[35],"Absorbed":[37],"Photosynthetically":[38],"Active":[39],"Radiation":[40],"(FAPAR)":[41],"downscaled":[43],"continental":[45],"A":[47],"novel":[48],"HIghly":[49],"Scalable":[50],"Temporal":[51],"Adaptive":[52],"Reflectance":[53],"Fusion":[54],"Model":[55],"(HIS-TARFM)":[56],"is":[57,85],"used":[58],"to":[59,87,105],"generate":[60],"gap-free":[62],"time":[63],"series":[64],"Landsat":[66,74,95],"surface":[67,96],"reflectance":[68,75,97],"data":[69],"by":[70],"fusing":[71],"MODIS":[72,100],"for":[76],"contiguous":[78],"United":[79],"States.":[80],"An":[81],"artificial":[82],"neural":[83],"network":[84],"trained":[86],"capture":[88],"relationship":[90],"between":[91],"gap":[93],"free":[94],"LAI/FAPAR":[101],"allows":[104],"predict":[106],"both":[107,119],"biophysical":[108],"variables":[109],"30":[111],"meters":[112],"resolution.":[114],"The":[115],"results":[116],"confirm":[117],"that":[118],"largely":[122],"agree":[123],"with":[124],"test":[126],"dataset,":[127],"providing":[128],"low":[129],"error":[130],"high":[132],"explained":[133],"variance.":[134]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
