Assessing Urban canopies 3D radiative and Energy Budgets with remote sensing and DART model
| Autor: | Y. Tiangang, J. Guilleron, Lucas Landier, Ahmad Al Bitar, Nektarios Chrysoulakis, Z. Mitraka, Jean-Philippe Gastellu-Etchegorry, Christian Feigenwinter, Nicolas Lauret |
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| Přispěvatelé: | Centre d'études spatiales de la biosphère (CESBIO), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
010504 meteorology & atmospheric sciences
Meteorology 020209 energy Global change 02 engineering and technology Energy consumption Energy budget 01 natural sciences 7. Clean energy [SPI]Engineering Sciences [physics] Remote sensing (archaeology) Temporal resolution 11. Sustainability 0202 electrical engineering electronic engineering information engineering Radiative transfer Environmental science Satellite imagery Energy (signal processing) ComputingMilieux_MISCELLANEOUS 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | 2017 Joint Urban Remote Sensing Event (JURSE) 2017 Joint Urban Remote Sensing Event (JURSE), Mar 2017, Dubai, France. pp.1-4, ⟨10.1109/JURSE.2017.7924595⟩ JURSE |
| Popis: | The quantification of energy budget of big cities has gained a high interest in the recent decade considering it's link to global change and to the energy nexus. The management of the energy consumption in large cities is following a new revolution as we enter the era of smart cities. But our knowledge of the different components of the energy budget at local scale is still limited. Recently with the development of high spatial and temporal resolution satellite imagery and the widespread of 3D databases of the urban canopy, new physically based deterministic approaches to quantify the energy budget components are being developed. In this study, which is part of the H2020 URBANFLUXES project, we show results on the combined use of remote sensing data and 3D radiative and energy budget modeling in urban canopies. The approach relies on the combination of physical modeling and remote sensing data in visible and TIR from LandSat-8 over the city of Heraklion and Basel in Switzerland. The modeling is based on the use of DART (Direct Anisotropic Radiative Transfer) model with a new Energy Budget module DART-EB that takes into consideration the complexity of urban canopies. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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