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dc.contributor.authorPeltoniemi, J. I.en
dc.contributor.authorGritsevich, M.en
dc.contributor.authorMarkkanen, J.en
dc.contributor.authorHakala, T.en
dc.contributor.authorSuomalainen, J.en
dc.contributor.authorZubko, N.en
dc.contributor.authorWilkman, O.en
dc.contributor.authorMuinonen, K.en
dc.date.accessioned2020-09-29T09:47:26Z-
dc.date.available2020-09-29T09:47:26Z-
dc.date.issued2020-
dc.identifier.citationA Composite Model for Reflectance and Polarisation of Light from Granulate Materials / J. I. Peltoniemi, M. Gritsevich, J. Markkanen, T. Hakala, et al. . — DOI 10.5194/isprs-annals-V-1-2020-375-2020 // ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. — 2020. — Vol. 1. — Iss. 5. — P. 375-382.en
dc.identifier.issn2194-9042-
dc.identifier.otherhttps://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-1-2020/375/2020/isprs-annals-V-1-2020-375-2020.pdfpdf
dc.identifier.other1good_DOI
dc.identifier.other7f20668f-a5d4-4eea-8c7c-9c45af05fc8epure_uuid
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85091070293m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/90456-
dc.description.abstractMany natural land surfaces, such as sand or snow, consist of densely packed grains, often covered by dust, water droplets, contaminated with other materials such as possible oil leaks, hoar frost, and can also be internally cracked, porous, and heterogeneous. Most scattering models ignore these complications, but here a more detailed approach is taken to test all these effects. The current model is composed of three techniques: 1) Monte Carlo-based electromagnetic volume integral equation technique for non-spherical wavelength scale dust particles, 2) Monte Carlo ray tracing for stochastic-shaped grains much larger than the wavelength, with optional point scattering from dust cover, internal inclusions, and liquid surface layer, in a layer of an optical depths of few units, and 3) adding-doubling to combine smaller layers into an arbitrary, thick and vertically inhomogeneous medium. The model allows the medium to be built in a modular way, and after initialisation, rather complicated layered structures can be computed quickly and flexibly. The computed results are compared against experimental measurements of snow and sand. The model agrees with measurements usually within the measurement accuracy (∼ 0:05). The scattering is observed to depend significantly on grain size, shape, orientation, composition, fine structures, dust, and some other properties that need to be defined. Both, measurement and modelling, require much deeper attention to these properties. © 2020 Copernicus GmbH. All rights reserved.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherCopernicus GmbHen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightscc-byother
dc.sourceISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciencesen
dc.subjectBRDFen
dc.subjectEARTH OBSERVATIONen
dc.subjectELECTROMAGNETIC WAVESen
dc.subjectLIGHTen
dc.subjectOPTICAL PROPERTIESen
dc.subjectPOLARISATIONen
dc.subjectREFLECTANCEen
dc.subjectSCATTERINGen
dc.subjectSNOWen
dc.subjectSOILen
dc.subjectDUSTen
dc.subjectINTEGRAL EQUATIONSen
dc.subjectLEAKAGE (FLUID)en
dc.subjectMONTE CARLO METHODSen
dc.subjectSNOWen
dc.subjectSTOCHASTIC SYSTEMSen
dc.subjectCOMPOSITE MODELINGen
dc.subjectCURRENT MODELINGen
dc.subjectINHOMOGENEOUS MEDIUMen
dc.subjectLAYERED STRUCTURESen
dc.subjectMEASUREMENT ACCURACYen
dc.subjectMONTE-CARLO RAY TRACINGen
dc.subjectSCATTERING MODELen
dc.subjectVOLUME INTEGRAL EQUATIONen
dc.subjectSTOCHASTIC MODELSen
dc.titleA Composite Model for Reflectance and Polarisation of Light from Granulate Materialsen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.5194/isprs-annals-V-1-2020-375-2020-
dc.identifier.scopus85091070293-
local.affiliationFinnish Geospatial Research Institute FGI, Masala, 02431, Finlanden
local.affiliationUniversity of Helsinki, PO Box 14, Helsinki, 00014, Finlanden
local.affiliationInstitute of Physics and Technology, Ural Federal University, Ekaterinburg, Russian Federationen
local.contributor.employeePeltoniemi, J.I., Finnish Geospatial Research Institute FGI, Masala, 02431, Finland, University of Helsinki, PO Box 14, Helsinki, 00014, Finlandru
local.contributor.employeeGritsevich, M., Finnish Geospatial Research Institute FGI, Masala, 02431, Finland, University of Helsinki, PO Box 14, Helsinki, 00014, Finland, Institute of Physics and Technology, Ural Federal University, Ekaterinburg, Russian Federationru
local.contributor.employeeMarkkanen, J., University of Helsinki, PO Box 14, Helsinki, 00014, Finlandru
local.contributor.employeeHakala, T., Finnish Geospatial Research Institute FGI, Masala, 02431, Finlandru
local.contributor.employeeSuomalainen, J., Finnish Geospatial Research Institute FGI, Masala, 02431, Finlandru
local.contributor.employeeZubko, N., Finnish Geospatial Research Institute FGI, Masala, 02431, Finlandru
local.contributor.employeeWilkman, O., Finnish Geospatial Research Institute FGI, Masala, 02431, Finlandru
local.contributor.employeeMuinonen, K., Finnish Geospatial Research Institute FGI, Masala, 02431, Finland, University of Helsinki, PO Box 14, Helsinki, 00014, Finlandru
local.description.firstpage375-
local.description.lastpage382-
local.issue5-
local.volume1-
local.identifier.pure13915111-
local.identifier.eid2-s2.0-85091070293-
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