The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Aug 2020)

INVESTIGATING STANDARDIZED 3D INPUT DATA FOR SOLAR PHOTOVOLTAIC POTENTIALS IN THE NETHERLANDS

  • A. Y. Amiranti,
  • M. N. Koeva,
  • M. Kuffer,
  • V. van Altena,
  • M. Post

DOI
https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-639-2020
Journal volume & issue
Vol. XLIII-B4-2020
pp. 639 – 646

Abstract

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This paper presents our contribution to the development of a standardized 3D input data model for solar photovoltaic potential estimation. Presently, different input data and processing steps influence the calculation for estimating the potential of solar energy in the Netherlands. The variety in characteristics of input data and issues with temporal accuracy extracted from the national registers and databases makes it challenging to obtain a consistent and reliable result. To address this issue, we created a point cloud dataset that integrated from LiDAR point cloud and dense image matching which is complete, recent and positionally accurate. Furthermore, we made a 3D building model from the integrated point cloud and identified the effect of finer resolution in the photovoltaic potential analysis.