Radiative Transfer Image Simulation Using L-System Modeled Strawberry Canopies by Zhen Guan, Amr Abd-Elrahman, Vance Whitaker, Shinsuke Agehara, Benjamin Wilkinson, Jean-Philippe Gastellu-Etchegorry, Bon Dewitt

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Validation of the DART Model for Airborne Laser Scanner Simulations on Complex Forest Environments by Florian de Boissieu, Florence Heuschmidt, Nicolas Lauret, Dav M. Ebengo, Gregoire Vincent, Jean-Baptiste Feret, Tiangang Yin, Jean-Philippe Gastellu-Etchegorry, Josiane Costeraste, Marie-Jose Lefevre-Fonollosa, Sylvie Durrieu

Subjects: “…discrete anisotropic radiative transfer (DART)…”
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Assessment of Workflow Feature Selection on Forest LAI Prediction with Sentinel-2A MSI, Landsat 7 ETM+ and Landsat 8 OLI by Benjamin Brede, Jochem Verrelst, Jean-Philippe Gastellu-Etchegorry, Jan G. P. W. Clevers, Leo Goudzwaard, Jan den Ouden, Jan Verbesselt, Martin Herold

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Impact of Tree Crown Transmittance on Surface Reflectance Retrieval in the Shade for High Spatial Resolution Imaging Spectroscopy: A Simulation Analysis Based on Tree Modeling Scen... by Karine R. M. Adeline, Xavier Briottet, Sidonie Lefebvre, Nicolas Rivière, Jean-Philippe Gastellu-Etchegorry, Fabrice Vinatier

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Aerosol Optical Depth Measurements from a Simulated Low-Cost Multi-Wavelength Ground-Based Camera: A Clear Case over a Peri-Urban Area by Valentin Boulisset, Jean-Luc Attié, Ronan Tournier, Xavier Ceamanos, Javier Andrey, Eric Pequignot, Nicolas Lauret, Jean-Philippe Gastellu-Etchegorry

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Estimation of chlorophyll content for urban trees from UAV hyperspectral images by Shanshan Wei, Tiangang Yin, Bo Yuan, Genevieve Lai Fern Ow, Mohamed Lokman Mohd. Yusof, Jean-Philippe Gastellu-Etchegorry, Andrew J. Whittle

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Spatial Resolution Requirements for the Application of Temperature and Emissivity Separation (TES) Algorithm Over Urban Areas by Zhijun Zhen, Shengbo Chen, Tiangang Yin, Jean-Philippe Gastellu-Etchegorry

“…This work is a quantitative analysis, based on radiative transfer modelling, of the distribution of mixed pixels and their impact on the use of temperature and emissivity separation (TES). …”
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Bi-directional Monte-Carlo modelling of solar-induced chlorophyll fluorescence images for 3D vegetation canopies in the DART model by Omar Regaieg, Nicolas Lauret, Yingjie Wang, Jordan Guilleux, Eric Chavanon, Jean-Philippe Gastellu-Etchegorry

“…Remote sensing (RS) of solar-induced chlorophyll fluorescence (SIF) has a great potential for monitoring plant photosynthetic activity. Radiative transfer models (RTM) are essential to better interpret and extract information from SIF signals. …”
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Simulation-Based Evaluation of the Estimation Methods of Far-Red Solar-Induced Chlorophyll Fluorescence Escape Probability in Discontinuous Forest Canopies by Weiwei Liu, Shezhou Luo, Xiaoliang Lu, Jon Atherton, Jean-Philippe Gastellu-Etchegorry

“…In this study, the Discrete Anisotropic Radiative Transfer (DART) model is used to simulate canopy-leaving SIF, canopy total emitted SIF, canopy interceptance, and the fraction of absorbed photosynthetically active radiation (fAPAR) in order to evaluate the estimation methods of SIF escape probability in discontinuous forest canopies. …”
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Deep Learning Application to Surface Properties Retrieval Using TIR Measurements: A Fast Forward/Reverse Scheme to Deal with Big Data Analysis from New Satellite Generations by Elisa Castelli, Enzo Papandrea, Alessio Di Roma, Ilaria Bloise, Mattia Varile, Hamid Tabani, Jean-Philippe Gastellu-Etchegorry, Lorenzo Feruglio

“…Despite this, the application of deep learning techniques to radiative transfer simulations is still underexplored. The DeepLIM project, described in this work, aimed at testing the feasibility of the application of deep learning techniques at the design of the retrieval chain of an upcoming satellite mission. …”
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Modeling Mean Radiant Temperature Distribution in Urban Landscapes Using DART by Maria Angela Dissegna, Tiangang Yin, Hao Wu, Nicolas Lauret, Shanshan Wei, Jean-Philippe Gastellu-Etchegorry, Adrienne Grêt-Regamey

“…The use of a 3-D radiative transfer model shows promising capability to study urban microclimate and outdoor thermal comfort with increasing landscape details, and to build linkage to remote sensing data. …”
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Impact of Modeling Abstractions When Estimating Leaf Mass per Area and Equivalent Water Thickness over Sparse Forests Using a Hybrid Method by Thomas Miraglio, Margarita Huesca, Jean-Philippe Gastellu-Etchegorry, Crystal Schaaf, Karine R. M. Adeline, Susan L. Ustin, Xavier Briottet

“…In this study, we assessed the ability of a hybrid retrieval method, consisting of training a random forest regressor (RFR) over the outputs of the discrete anisotropic radiative transfer (DART) model, to yield accurate EWT and LMA estimates depending on the scene modeling within DART and the spectral interval considered. …”
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