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dc.contributor.authorLandier, Lucas
dc.contributor.authorLauret, Nicolas
dc.contributor.authorYin, Tiangang
dc.contributor.authorBitar, Ahmad Al
dc.contributor.authorGastellu-Etchegorry, JeanPhilippe
dc.contributor.authorFeigenwinter, Christian
dc.contributor.authorParlow, Eberhard
dc.contributor.authorMitraka, Zina
dc.contributor.authorChrysoulakis, Nektarios
dc.date.accessioned2021-02-10T12:58:18Z
dc.date.issued2016
dc.date.submitted2021-06-02T10:07:56Z
dc.identifierONIX_20210602_10.5772/63887_266
dc.identifierhttps://library.oapen.org/handle/20.500.12657/49152
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/70244
dc.description.abstractNeed for better understanding and more accurate estimation of radiative fluxes in urban environments, specifically urban surface albedo and exitance, motivates development of new remote sensing and three‐dimensional (3D) radiative transfer (RT) modeling methods. The discrete anisotropic radiative transfer (DART) model, one of the most comprehensive physically based 3D models simulating Earth/atmosphere radiation interactions, was used in combination with satellite data (e.g., Landsat‐8 observations) to better parameterize the radiative budget components of cities, such as Basel in Switzerland. After presenting DART and its recent RT modeling functions, we present a methodological concept for estimating urban fluxes using any satellite image data.
dc.languageEnglish
dc.rightsopen access
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAF Ecological science, the Biosphereen_US
dc.subject.otherDART, model, radiative transfer, albedo, thermal exitance, remote sensing, urban canopies
dc.titleChapter Remote Sensing Studies of Urban Canopies: 3D Radiative Transfer Modeling
dc.typechapter
oapen.identifier.doi10.5772/63887
oapen.relation.isPublishedBy035ecc65-6737-43cf-a13a-6bdf67ce01f4
dc.relationisFundedByH2020-EO-2014


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