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The DART model (Discrete Anisotropic Radiative Transfer)

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For any questions or comments
on this mission, please contact :
 Jean-Philippe.Gastellu-Etchegorry
© Copyright 2014 CESBIO, 
Tous droits réservés

The DART model

DART accurately simulates the radiative balance and satellite/plane measurements of natural and urban landscapes, for any experimental (date, terrain, atmosphere, forest,...) and instrumental (spatial/spectral/temporal resolutions,...) configuration.

Look at the publications .

For this, it simulates the radiative transfer (i.e., radiation propagation) in the Earth-Atmospheric system, at any wavelength from visible to thermal infrared, with an approach that combines the ray tracing and discrete ordinate methods. Its accuracy was verified (RAMI experience,...). Papers and documents about its theory and applications are on this website

DART creates landscapes and/or imports them as 3D objects (tree, house,...). Any landscape is a 3D matrix of cells that can contain several types of elements :

  • Turbid medium: leaf vegetation (tree, grass,...), atmosphere, pollution, water, soot,...
  • Triangles: opaque or translucent surfaces (relief, leaf, woody and urban elements,...).

DART is designed for Linux and Windows systems. It works with SQL databases for its data input (atmosphere, optical properties of material,...) and to store the results. It has an advanced graphical interface for entering data and displaying results.

· Major DART products

Satellite/plane imagery of passive and active (lidar) sensors: very useful for :

  1. sensitivity studies (e.g., what is the impact of topography on the reflectance, brightness temperature and waveform lidar?),
  2. design of future sensors,
  3. and inversion strategies of remote sensing measurements in terms of surface biophysical parameters (LAI,...).


3-D budget of absorbed, scattered, intercepted and emitted radiation: critical input for modeling the functioning (photosynthesis,...) of terrestrial surfaces.

· Major DART tools

- Display of simulated images and 1D/3D Lidar waveforms.
- Lancement de séquences de simulations avec des paramètres variables (date, LAI,..). Ceci permet de créer des LUTs (Look Up Tables) de réflectance et de température de brillance.
- Launch sequence of simulations with varying parameters (date, LAI,...). It allows one to create LUTs (Look Up Tables) of reflectance and brightness temperature values.
- Reflectance and brightness temperature spectra.
- Reflectance and brightness temperature for the spectral bands of satellite sensors.
- Import and management of 3D objects, natural (corn, wheat,...) and urban.
- Correction of topographic effects on remote sensing images.
- Analysis of 3D radiative budget.
- Creating 3D objects as a set of 3D objects.

 

 

 

 

 
     
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