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Full Spectrum Cloudy Scene Simulation for Remote Sensing Algorithm Development

Development of algorithms for remote sensing applications can be facilitated with accurate scene simulations, where terrain reflectance and topography as well as all atmospheric and illumination conditions are controlled by the investigator. One such scene simulation model is MCScene. The MCScene model is based on a Direct Simulation Monte Carlo approach for modeling 3D atmospheric radiative transport, as well as spatially inhomogeneous surfaces including surface BRDF effects. The model includes treatment of land and ocean surfaces, 3D terrain, 3D surface objects, and effects of finite clouds with surface shadowing. Simulations can be performed from the UV through the LWIR. In this paper, we illustrate the use of MCScene as a tool in remote sensing algorithm development by simulating a partly cloudy scene and using this scene to test and evaluate a spectral cloud masking algorithm.