{"id":"https://openalex.org/W4309089718","doi":"https://doi.org/10.3390/rs14215529","title":"Globally Scalable Approach to Estimate Net Ecosystem Exchange Based on Remote Sensing, Meteorological Data, and Direct Measurements of Eddy Covariance Sites","display_name":"Globally Scalable Approach to Estimate Net Ecosystem Exchange Based on Remote Sensing, Meteorological Data, and Direct Measurements of Eddy Covariance Sites","publication_year":2022,"publication_date":"2022-11-02","ids":{"openalex":"https://openalex.org/W4309089718","doi":"https://doi.org/10.3390/rs14215529"},"language":"en","primary_location":{"id":"doi:10.3390/rs14215529","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14215529","pdf_url":"https://www.mdpi.com/2072-4292/14/21/5529/pdf?version=1667802634","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/2072-4292/14/21/5529/pdf?version=1667802634","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041944940","display_name":"R. Zhuravlev","orcid":"https://orcid.org/0000-0002-8254-2756"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ruslan Zhuravlev","raw_affiliation_strings":["Carbonspace Ltd., D04H1F3 Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Carbonspace Ltd., D04H1F3 Dublin, Ireland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007561858","display_name":"Andrey Dara","orcid":"https://orcid.org/0000-0003-4965-9714"},"institutions":[{"id":"https://openalex.org/I2800289517","display_name":"German Climate Computing Centre","ror":"https://ror.org/03ztgj037","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800289517"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andrey Dara","raw_affiliation_strings":["Carbonspace Ltd., D04H1F3 Dublin, Ireland","German Climate Computing Center (DKRZ), 20146 Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"Carbonspace Ltd., D04H1F3 Dublin, Ireland","institution_ids":[]},{"raw_affiliation_string":"German Climate Computing Center (DKRZ), 20146 Hamburg, Germany","institution_ids":["https://openalex.org/I2800289517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073414597","display_name":"Andr\u00e9 Santos","orcid":"https://orcid.org/0000-0002-7320-7649"},"institutions":[{"id":"https://openalex.org/I52418104","display_name":"Universidade Federal do Paran\u00e1","ror":"https://ror.org/05syd6y78","country_code":"BR","type":"education","lineage":["https://openalex.org/I52418104"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Lu\u00eds Diniz dos Santos","raw_affiliation_strings":["Carbonspace Ltd., D04H1F3 Dublin, Ireland","Technology Sector, Federal University of Paran\u00e1, Curitiba 80060, Brazil"],"affiliations":[{"raw_affiliation_string":"Carbonspace Ltd., D04H1F3 Dublin, Ireland","institution_ids":[]},{"raw_affiliation_string":"Technology Sector, Federal University of Paran\u00e1, Curitiba 80060, Brazil","institution_ids":["https://openalex.org/I52418104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058589036","display_name":"\u041e\u043b\u0435\u0433 \u041f. \u0414\u0435\u043c\u0438\u0434\u043e\u0432","orcid":"https://orcid.org/0000-0002-3586-0487"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oleg Demidov","raw_affiliation_strings":["Carbonspace Ltd., D04H1F3 Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Carbonspace Ltd., D04H1F3 Dublin, Ireland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018883720","display_name":"George Burba","orcid":"https://orcid.org/0000-0003-2095-0057"},"institutions":[{"id":"https://openalex.org/I149218723","display_name":"LI-COR Biosciences (United States)","ror":"https://ror.org/017shr829","country_code":"US","type":"company","lineage":["https://openalex.org/I149218723"]},{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Burba","raw_affiliation_strings":["LI-COR Biosciences, Daugherty Water for Food Global Institute, University of Nebraska-Lincoln, Lincoln, NE 68588, USA"],"affiliations":[{"raw_affiliation_string":"LI-COR Biosciences, Daugherty Water for Food Global Institute, University of Nebraska-Lincoln, Lincoln, NE 68588, USA","institution_ids":["https://openalex.org/I149218723","https://openalex.org/I114395901"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041944940"],"corresponding_institution_ids":[],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.001,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.74246855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"14","issue":"21","first_page":"5529","last_page":"5529"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9997000098228455,"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9997000098228455,"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/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9994000196456909,"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/T10029","display_name":"Climate variability and models","score":0.9944000244140625,"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/eddy-covariance","display_name":"Eddy covariance","score":0.9418251514434814},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6055170297622681},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5783119201660156},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.552161455154419},{"id":"https://openalex.org/keywords/fluxnet","display_name":"FluxNet","score":0.5322966575622559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4180346131324768},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3876652121543884},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14206907153129578},{"id":"https://openalex.org/keywords/ecosystem","display_name":"Ecosystem","score":0.12652915716171265},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11584782600402832},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11503604054450989}],"concepts":[{"id":"https://openalex.org/C35187779","wikidata":"https://www.wikidata.org/wiki/Q5336709","display_name":"Eddy covariance","level":3,"score":0.9418251514434814},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6055170297622681},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5783119201660156},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.552161455154419},{"id":"https://openalex.org/C2780797852","wikidata":"https://www.wikidata.org/wiki/Q5463009","display_name":"FluxNet","level":4,"score":0.5322966575622559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4180346131324768},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3876652121543884},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14206907153129578},{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.12652915716171265},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11584782600402832},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11503604054450989},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14215529","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14215529","pdf_url":"https://www.mdpi.com/2072-4292/14/21/5529/pdf?version=1667802634","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:7602e4a695ba43aeb316516e73ce4a0e","is_oa":true,"landing_page_url":"https://doaj.org/article/7602e4a695ba43aeb316516e73ce4a0e","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 14, Iss 21, p 5529 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/21/5529/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14215529","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Remote Sensing; Volume 14; Issue 21; Pages: 5529","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14215529","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14215529","pdf_url":"https://www.mdpi.com/2072-4292/14/21/5529/pdf?version=1667802634","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 in Land","id":"https://metadata.un.org/sdg/15","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4309089718.pdf","grobid_xml":"https://content.openalex.org/works/W4309089718.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1510073064","https://openalex.org/W1568629117","https://openalex.org/W1581204067","https://openalex.org/W1838347895","https://openalex.org/W1974811680","https://openalex.org/W1975158286","https://openalex.org/W2030145772","https://openalex.org/W2031600437","https://openalex.org/W2048165350","https://openalex.org/W2079282790","https://openalex.org/W2111537121","https://openalex.org/W2114091458","https://openalex.org/W2123737232","https://openalex.org/W2126479957","https://openalex.org/W2135419069","https://openalex.org/W2157320683","https://openalex.org/W2164635542","https://openalex.org/W2286410156","https://openalex.org/W2298779432","https://openalex.org/W2338049369","https://openalex.org/W2564836735","https://openalex.org/W2584181319","https://openalex.org/W2606098303","https://openalex.org/W2755793808","https://openalex.org/W2791720519","https://openalex.org/W2799462250","https://openalex.org/W2801684447","https://openalex.org/W2901486315","https://openalex.org/W2936032092","https://openalex.org/W2970578364","https://openalex.org/W2975233450","https://openalex.org/W2977271258","https://openalex.org/W2978954487","https://openalex.org/W2989970761","https://openalex.org/W2996425611","https://openalex.org/W3001731780","https://openalex.org/W3004159705","https://openalex.org/W3040739689","https://openalex.org/W3088138537","https://openalex.org/W3130585423","https://openalex.org/W3196488837","https://openalex.org/W4220846169","https://openalex.org/W4237123086","https://openalex.org/W4245539475","https://openalex.org/W6606242451","https://openalex.org/W6678678201"],"related_works":["https://openalex.org/W2764235904","https://openalex.org/W2062646414","https://openalex.org/W2337444019","https://openalex.org/W3122561893","https://openalex.org/W2022636259","https://openalex.org/W2349184474","https://openalex.org/W4230089158","https://openalex.org/W231550981","https://openalex.org/W2383070020","https://openalex.org/W1969433017"],"abstract_inverted_index":{"Despite":[0],"a":[1,29,90,107,125,201],"rapid":[2],"development":[3],"of":[4,31,43,109,128,142,181,223],"Nature-Based":[5],"Solutions":[6],"(NBS)":[7],"for":[8,16,57,73,178,205],"carbon":[9,87,220],"removal":[10],"in":[11],"recent":[12],"years,":[13],"the":[14,40,82,120,140,185,190,194,206],"methods":[15,71],"evaluating":[17],"NBS":[18],"still":[19],"have":[20],"certain":[21],"gaps.":[22],"We":[23,64],"propose":[24],"an":[25],"approach":[26,84],"based":[27,68,123,209],"on":[28,69,89,124,210],"combination":[30],"remote":[32,213],"sensing":[33,214],"data":[34,98,105,154],"and":[35,61,103,135,145,148,161,218],"meteorological":[36,216],"variables":[37],"to":[38,85,139,152],"reconstruct":[39],"spatiotemporal":[41],"variation":[42],"net":[44],"ecosystem":[45],"exchange":[46,88],"from":[47],"eddy-covariance":[48],"stations.":[49,227],"A":[50],"Lagrangian":[51],"particle":[52],"dispersion":[53],"model":[54],"was":[55],"used":[56],"upscaling":[58],"satellite":[59,102],"images":[60],"flux":[62,97,221,226],"towers.":[63],"trained":[65],"data-driven":[66],"models":[67,167,186],"kernel":[70],"separately":[72],"each":[74,179],"selected":[75],"land-cover":[76],"class.":[77],"The":[78,164],"results":[79],"suggest":[80],"that":[81,173,184],"proposed":[83],"quantifying":[86],"medium-to-large":[91],"scale":[92],"by":[93,193],"blending":[94],"eddy":[95,129,224],"covariance":[96,130,225],"with":[99],"moderate":[100],"resolution":[101,137,212],"weather":[104],"provides":[106],"set":[108,127],"key":[110],"advantages":[111],"over":[112],"previously":[113],"deployed":[114],"methods:":[115],"(1)":[116],"scalability,":[117],"achieved":[118],"via":[119],"validation":[121,182],"design":[122],"separate":[126,175],"stations;":[131],"(2)":[132],"high":[133,169,211],"spatial":[134],"temporal":[136],"thanks":[138],"use":[141],"Landsat":[143],"imagery;":[144],"(3)":[146],"robust":[147],"accurate":[149,188],"predictions":[150],"due":[151],"improved":[153],"quality":[155],"control,":[156],"advanced":[157],"machine":[158,165],"learning":[159,166],"techniques,":[160],"rigorous":[162],"validation.":[163],"yielded":[168],"cross-validation":[170],"results.":[171],"Stratification":[172],"uses":[174],"Fluxnet":[176,195],"stations":[177],"fold":[180],"ensures":[183],"are":[187],"across":[189],"area":[191],"covered":[192],"sites.":[196],"Overall,":[197],"we":[198],"present":[199],"here":[200],"globally":[202],"scaled":[203],"technology":[204],"land":[207],"sector":[208],"imagery,":[215],"variables,":[217],"direct":[219],"measurements":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}