Name
Title | ||
|---|---|---|
Time series of urban radiative budget maps derived from EO satellites using a physical remote sensing model |
Abstract | ||
|---|---|---|
Models that simulate the radiative budget (RB) and remote sensing (RS) observation of landscapes with physical approaches and consideration of the three-dimensional (3-D) architecture of Earth surfaces are increasingly needed to better understand the life-essential cycles and processes of our planet and to further develop RS technology. DART (Discrete Anisotropic Radiative Transfer) is one of the most comprehensive physically based 3-D models of Earth-atmosphere optical radiative transfer (RT), from ultraviolet to thermal infrared. It simulates the optical 3-D RB and signal of proximal, aerial and satellite imaging spectrometers and laser scanners, for any urban and/or natural landscapes and for any experimental and instrumental configurations. It is freely available for research and teaching activities. Here, an application is presented after a summary of its theory and recent advances: inversion of Sentinel 2 images for simulating time series of urban radiative budget Q
<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SW</sub>
maps through the determination of maps of urban surface material. Results are very encouraging: satellite and in-situ Q
<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SW</sub>
are very close (RMSE ≈ 15 W/m
<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>
; i.e. 2.7% mean relative difference). |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ATSIP.2018.8364509 | 2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) |
Keywords | Field | DocType |
DART,inversion,optical properties,radiative budget,urban | Satellite,Anisotropy,Inversion (meteorology),Dart,Remote sensing,Spectrometer,Laser,Environmental science,Planet,Radiative transfer | Conference |
ISBN | Citations | PageRank |
978-1-5386-5240-4 | 0 | 0.34 |
References | Authors | |
4 | 11 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jean-Philippe Gastellu-Etchegorry | 1 | 46 | 14.47 |
| Lucas Landier | 2 | 0 | 0.68 |
| Ahmad Al Bitar | 3 | 261 | 26.44 |
| Nicolas Lauret | 4 | 16 | 5.92 |
| Tiangang Yin | 5 | 18 | 7.67 |
| J. Qi | 6 | 0 | 0.34 |
| Jordan Guilleux | 7 | 0 | 0.34 |
| Eric Chavanon | 8 | 0 | 0.34 |
| Christian Feigenwinter | 9 | 8 | 2.89 |
| Zina Mitraka | 10 | 25 | 8.20 |
| N. Chrysoulakis | 11 | 61 | 17.97 |