At-sensor radiance simulation for airborne imaging spectroscopy

• Published in: 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) pp. 1 - 4
• Main Authors: Schneider, F. D., Yin, T., Gastellu-Etchegorry, J.-P, Morsdorf, F., Schaepman, M. E.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-06-2014
• Subjects: Aerosols; Airborne image simulation; Airborne imaging spectroscopy; Atmospheric modeling; Data models; Imaging; Radiative transfer modeling; Remote sensing; Solid modeling; Three-dimensional displays
• ISSN: 2158-6276
• DOI: 10.1109/WHISPERS.2014.8077586

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.