{"id":"https://openalex.org/W7131126266","doi":"https://doi.org/10.48550/arxiv.2602.18083","title":"Comparative Assessment of Multimodal Earth Observation Data for Soil Moisture Estimation","display_name":"Comparative Assessment of Multimodal Earth Observation Data for Soil Moisture Estimation","publication_year":2026,"publication_date":"2026-02-20","ids":{"openalex":"https://openalex.org/W7131126266","doi":"https://doi.org/10.48550/arxiv.2602.18083"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.18083","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092118840","display_name":"Ioannis Kontogiorgakis","orcid":"https://orcid.org/0000-0002-1959-350X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kontogiorgakis, Ioannis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120485779","display_name":"Athanasios Askitopoulos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Askitopoulos, Athanasios","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060186055","display_name":"Iason Tsardanidis","orcid":"https://orcid.org/0009-0008-0356-3526"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsardanidis, Iason","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003317120","display_name":"Dimitrios Bormpoudakis","orcid":"https://orcid.org/0000-0003-3060-5038"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bormpoudakis, Dimitrios","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040301770","display_name":"Ilias Tsoumas","orcid":"https://orcid.org/0000-0001-8262-9600"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsoumas, Ilias","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009574062","display_name":"Fotios Balampanis","orcid":"https://orcid.org/0000-0002-9847-2297"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Balampanis, Fotios","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126590370","display_name":"Charalampos Kontoes","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kontoes, Charalampos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16352833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9984999895095825,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9984999895095825,"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.00039999998989515007,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/water-content","display_name":"Water content","score":0.5845999717712402},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5806000232696533},{"id":"https://openalex.org/keywords/earth-observation","display_name":"Earth observation","score":0.5116000175476074},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4345000088214874},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.38929998874664307},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.37880000472068787},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3693999946117401},{"id":"https://openalex.org/keywords/moisture","display_name":"Moisture","score":0.35580000281333923},{"id":"https://openalex.org/keywords/earth-system-science","display_name":"Earth system science","score":0.34389999508857727}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6362000107765198},{"id":"https://openalex.org/C24939127","wikidata":"https://www.wikidata.org/wiki/Q373499","display_name":"Water content","level":2,"score":0.5845999717712402},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5806000232696533},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5683000087738037},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.5116000175476074},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4345000088214874},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.39410001039505005},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.38929998874664307},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.37880000472068787},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3693999946117401},{"id":"https://openalex.org/C176864760","wikidata":"https://www.wikidata.org/wiki/Q217651","display_name":"Moisture","level":2,"score":0.35580000281333923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3537999987602234},{"id":"https://openalex.org/C80368990","wikidata":"https://www.wikidata.org/wiki/Q3046459","display_name":"Earth system science","level":2,"score":0.34389999508857727},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.33660000562667847},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C30354325","wikidata":"https://www.wikidata.org/wiki/Q204667","display_name":"Backscatter (email)","level":3,"score":0.30079999566078186},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C107218244","wikidata":"https://www.wikidata.org/wiki/Q42762","display_name":"Biosphere","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28299999237060547},{"id":"https://openalex.org/C133199616","wikidata":"https://www.wikidata.org/wiki/Q25386885","display_name":"Empirical modelling","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.2777000069618225},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.2515999972820282}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.18083","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.18083","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.18083","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.18083","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"soil":[1,170],"moisture":[2,171],"(SM)":[3],"estimation":[4,34],"is":[5],"critical":[6],"for":[7,25,36,143,166],"precision":[8],"agriculture,":[9],"water":[10],"resources":[11],"management":[12],"and":[13,47,162],"climate":[14],"monitoring.":[15,172],"Yet,":[16],"existing":[17],"satellite":[18],"SM":[19,33],"products":[20],"are":[21],"too":[22],"coarse":[23],"(>1km)":[24],"farm-level":[26],"applications.":[27],"We":[28,80],"present":[29],"a":[30,160],"high-resolution":[31],"(10m)":[32],"framework":[35],"vegetated":[37,64],"areas":[38],"across":[39],"Europe,":[40],"combining":[41],"Sentinel-1":[42,108],"SAR,":[43],"Sentinel-2":[44,104],"optical":[45],"imagery":[46],"ERA-5":[48],"reanalysis":[49],"data":[50],"through":[51],"machine":[52],"learning.":[53],"Using":[54],"113":[55],"International":[56],"Soil":[57],"Moisture":[58],"Network":[59],"(ISMN)":[60],"stations":[61],"spanning":[62],"diverse":[63],"areas,":[65],"we":[66],"compare":[67],"modality":[68],"combinations":[69],"with":[70,107,114,155],"temporal":[71,101],"parameterizations,":[72],"using":[73],"spatial":[74],"cross-validation,":[75],"to":[76,121],"ensure":[77],"geographic":[78],"generalization.":[79],"also":[81],"evaluate":[82],"whether":[83],"foundation":[84],"model":[85,90,124],"embeddings":[86,126],"from":[87],"IBM-NASA's":[88],"Prithvi":[89],"improve":[91],"upon":[92],"traditional":[93,137],"hand-crafted":[94,131],"spectral":[95,152],"features.":[96],"Results":[97],"demonstrate":[98],"that":[99,150],"hybrid":[100],"matching":[102],"-":[103,111],"current-day":[105],"acquisitions":[106],"descending":[109],"orbit":[110],"achieves":[112],"R^2=0.514,":[113],"10-day":[115],"ERA5":[116],"lookback":[117],"window":[118],"improving":[119],"performance":[120],"R^2=0.518.":[122],"Foundation":[123],"(Prithvi)":[125],"provide":[127],"negligible":[128],"improvement":[129],"over":[130],"features":[132],"(R^2=0.515":[133],"vs.":[134],"0.514),":[135],"indicating":[136],"feature":[138],"engineering":[139],"remains":[140],"highly":[141],"competitive":[142],"sparse-data":[144],"regression":[145],"tasks.":[146],"Our":[147],"findings":[148],"suggest":[149],"domain-specific":[151],"indices":[153],"combined":[154],"tree-based":[156],"ensemble":[157],"methods":[158],"offer":[159],"practical":[161],"computationally":[163],"efficient":[164],"solution":[165],"operational":[167],"pan-European":[168],"field-scale":[169]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2026-02-24T00:00:00"}