Camera-based forecasting of cloud coverage for optimization of energy grids

Daniel Manger; Frank Pagel; Alexander Arnoldt; Oliver Warweg

doi:10.1117/12.2241065

19 October 2016 Camera-based forecasting of cloud coverage for optimization of energy grids

Daniel Manger, Frank Pagel, Alexander Arnoldt, Oliver Warweg

Proceedings Volume 10001, Remote Sensing of Clouds and the Atmosphere XXI; 100010T (2016) https://doi.org/10.1117/12.2241065
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom

Abstract

A new method for atmospheric correction of high resolution patches over heterogeneous terrain is presented. This efficient method performs atmospheric correction of high resolution surface pressure variations over a patch where gaseous and aerosol constituents can be assumed constant. This is of interest for the validation of surface reflectance for pixels surrounding Aeronet sites in heterogeneous terrain. The method efficiency stems from the smooth variations with surface pressure of the functions used in the atmospheric correction which is exploited to decouple the high resolution variation of elevation/pressure in the atmospheric correction process. This results in very few radiative transfer code evaluations independent of the number of high resolution pixels in the patch. The method allows pressure correction at every point of a high resolution scene decreasing the errors in heterogeneous terrains of current methods by up to two orders of magnitude. The technique can be applied for calibration and validation of surface reflectance to provide a much greater volume of data for performance evaluation.

Citation Download Citation

Daniel Manger, Frank Pagel, Alexander Arnoldt, and Oliver Warweg "Camera-based forecasting of cloud coverage for optimization of energy grids", Proc. SPIE 10001, Remote Sensing of Clouds and the Atmosphere XXI, 100010T (19 October 2016); https://doi.org/10.1117/12.2241065

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KEYWORDS

Clouds

Sun

Cameras

Photovoltaics

Image segmentation

Imaging systems

Solar cells

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