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dc.contributor.authorSchiassi, Enrico
dc.contributor.authorFurfaro, Roberto
dc.contributor.authorKargel, Jeffrey S.
dc.contributor.authorWatson, Cameron Scott
dc.contributor.authorShugar, Dan H.
dc.contributor.authorHaritashya, Umesh K.
dc.date.accessioned2019-12-18T17:59:10Z
dc.date.available2019-12-18T17:59:10Z
dc.date.issued2019-10-15
dc.identifier.citationSchiassi E, Furfaro R, Kargel JS, Watson CS, Shugar DH and Haritashya UK (2019) GLAM Bio-Lith RT: A Tool for Remote Sensing Reflectance Simulation and Water Components Concentration Retrieval in Glacial Lakes. Front. Earth Sci. 7:267. doi: 10.3389/feart.2019.00267en_US
dc.identifier.issn2296-6463
dc.identifier.doi10.3389/feart.2019.00267
dc.identifier.urihttp://hdl.handle.net/10150/636444
dc.description.abstractA new open-source software tool, called GLAM BioLith-RT (Glacier Lakes Assisted Melting Biological Lithological Radiative Transfer), has been developed for modeling of Radiative Transfer (RT) in water bodies containing suspended lithic particles, phytoplankton, dissolved salts, and colored dissolved organic matter. Although our objective is an application to glacial lakes of High Mountain Asia, the model has potential application for the study of seawater, organic-rich lakes, rivers, etc. The tool is built on a solid foundation of an existing published open-source code called WASI, which has been reviewed and augmented with new capabilities, notably the addition of a suspended lithic particle grain size parameterization. GLAM BioLith-RT operates in both a forward modeling and inverse modeling mode. The forward mode is specifically designed to compute the reflectance spectra of glacier lakes from inherent optical water properties. Conversely, in the inverse mode, measured spectral reflectance is employed with other inputs to derive best fitting water component properties (e.g., suspended particles concentration). The inverse modeling includes Bayesian inversion of the output which is a significant advance over the existing software. We have tested the code for sensitivity to noise, and uncertainties in input parameters. The model succeeds in nearly reproducing the hyperspectral reflectance of some glacial lakes in Nepal as observed by the EO-1 Hyperion hyperspectral imager. The inverse modeling approach, when supported up by validated forward modeling, offers a means for remote sensing characterization of suspended sediment load in glacial lakes and rivers and hence, use of suspended sediment as a proxy for glacial activity; and many other potential applications in other thematic areas.en_US
dc.description.sponsorshipNASANational Aeronautics & Space Administration (NASA) [NNX16AQ62G, 80NSSC19K0653]en_US
dc.language.isoenen_US
dc.publisherFRONTIERS MEDIA SAen_US
dc.rightsCopyright © 2019 Schiassi, Furfaro, Kargel, Watson, Shugar and Haritashya. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_US
dc.subjectremote sensingen_US
dc.subjectBayesian inversionen_US
dc.subjectglacial lakesen_US
dc.subjecthyperspectral/multispectral reflectanceen_US
dc.subjectsuspended sedimenten_US
dc.subjectInverse mode problemen_US
dc.subjectforward modeen_US
dc.subjectradiative transferen_US
dc.titleGLAM Bio-Lith RT: A Tool for Remote Sensing Reflectance Simulation and Water Components Concentration Retrieval in Glacial Lakesen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Dept Syst & Ind Engnen_US
dc.contributor.departmentUniv Arizona, Dept Aerosp & Mech Engn, Dept Syst & Ind Engnen_US
dc.contributor.departmentUniv Arizona, Dept Hydrol & Atmospher Scien_US
dc.identifier.journalFRONTIERS IN EARTH SCIENCEen_US
dc.description.noteOpen access journalen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.volume7
refterms.dateFOA2019-12-18T17:59:11Z


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