Abstract | ||
---|---|---|
Physically-based radiative transfer modeling is the key to remote sensing of forest ecosystems. To scale spectral information from the leaf to the sensor level, the canopy architecture of a forest, illumination conditions and the viewing geometry have to be taken into account. Therefore, a new airborne image simulation approach is being developed for the 3D radiative transfer model DART to model individual viewing angles for each pixel of a scene. A first comparison to actual imaging spectrometer data showed promising results, mainly because the atmosphere simulation could be improved compared to previous versions of the DART model. |
Year | Venue | Keywords |
---|---|---|
2014 | 2014 6TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS) | Radiative transfer modeling, Airborne image simulation, Airborne imaging spectroscopy |
Field | DocType | ISSN |
Imaging spectrometer,Dart,Remote sensing,Atmospheric model,Atmospheric radiative transfer codes,Environmental science,Pixel,Radiative transfer,Radiance,Imaging spectroscopy | Conference | 2158-6268 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
F. D. Schneider | 1 | 0 | 0.34 |
Tiangang Yin | 2 | 18 | 7.67 |
Jean-Philippe Gastellu-Etchegorry | 3 | 46 | 14.47 |
Felix Morsdorf | 4 | 141 | 20.36 |
Michael E. Schaepman | 5 | 158 | 40.02 |