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dc.contributor.authorRyan, Jonathan C.
dc.contributor.authorHubbard, Alun Lloyd
dc.contributor.authorBox, Jason E.
dc.contributor.authorBrough, Stephen
dc.contributor.authorCameron, Karen
dc.contributor.authorCook, Joseph M.
dc.contributor.authorCooper, Matthew
dc.contributor.authorDoyle, Samuel H.
dc.contributor.authorEdwards, Arwyn
dc.contributor.authorHolt, Tom
dc.contributor.authorIrvine-Fynn, Tristram
dc.contributor.authorJones, Christine
dc.contributor.authorPitcher, Lincoln H.
dc.contributor.authorRennermalm, Åsa K.
dc.contributor.authorSmith, Laurence C.
dc.contributor.authorStibal, Marek
dc.contributor.authorSnooke, Neal
dc.date.accessioned2018-03-06T12:21:17Z
dc.date.available2018-03-06T12:21:17Z
dc.date.issued2017-05-23
dc.description.abstractMeasurements of albedo are a prerequisite for modeling surface melt across the Earth’s cryosphere, yet available satellite products are limited in spatial and/or temporal resolution. Here, we present a practical methodology to obtain centimeter resolution albedo products with accuracies of ±5% using consumer-grade digital camera and unmanned aerial vehicle (UAV) technologies. Our method comprises a workflow for processing, correcting and calibrating raw digital images using a white reference target, and upward and downward shortwave radiation measurements from broadband silicon pyranometers. We demonstrate the method with a set of UAV sorties over the western, K-sector of the Greenland Ice Sheet. The resulting albedo product, UAV10A1, covers 280 km2 , at a resolution of 20 cm per pixel and has a root-mean-square difference of 3.7% compared to MOD10A1 and 4.9% compared to ground-based broadband pyranometer measurements. By continuously measuring downward solar irradiance, the technique overcomes previous limitations due to variable illumination conditions during and between surveys over glaciated terrain. The current miniaturization of multispectral sensors and incorporation of upward facing radiation sensors on UAV packages means that this technique could become increasingly common in field studies and used for a wide range of applications. These include the mapping of debris, dust, cryoconite and bioalbedo, and directly constraining surface energy balance models.en_US
dc.description.sponsorshipDark Snow Project (crowd funding) The Leonardo DiCaprio Foundation: ? Aberystwyth University Research Fund: ? NASA grant: NNX14AH93G Aberystwyth University Doctoral Career Development Scholarship: ?en_US
dc.description<a href=https://doi.org/10.3389/feart.2017.00040> https://doi.org/10.3389/feart.2017.00040 </a>en_US
dc.identifier.citationRyan, J. C., Hubbard, A. L., Box, J. E., Brough, S., Cameron, K., Cook, J. M., Cooper, M. … Snooke, N. (2017). Derivation of High Spatial Resolution Albedo from UAV Digital Imagery: Application over the Greenland Ice Sheet. Frontiers in Earth Science, 5(40), 1-13. https://doi.org/10.3389/feart.2017.00040en_US
dc.identifier.cristinIDFRIDAID 1477303
dc.identifier.doi10.3389/feart.2017.00040
dc.identifier.issn2296-6463
dc.identifier.urihttps://hdl.handle.net/10037/12264
dc.language.isoengen_US
dc.publisherFrontiers Mediaen_US
dc.relation.journalFrontiers in Earth Science
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/SFF/223259/Norway/Centre for Arctic Gas Hydrate, Environment and Climate/CAGE/en_US
dc.rights.accessRightsopenAccessen_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Geofag: 450en_US
dc.subjectVDP::Mathematics and natural science: 400::Geosciences: 450en_US
dc.titleDerivation of High Spatial Resolution Albedo from UAV Digital Imagery: Application over the Greenland Ice Sheeten_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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