The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B4-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 639–646, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-639-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 639–646, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-639-2020

  25 Aug 2020

25 Aug 2020

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

A. Y. Amiranti1, M. N. Koeva1, M. Kuffer1, V. van Altena2, and M. Post2 A. Y. Amiranti et al.
  • 1Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands
  • 2GIS Maatwerk en Advies, Kadaster, Zwolle, the Netherlands

Keywords: 3D model, solar photovoltaic, 3D data, ICP algorithm, point clouds, RANSAC

Abstract. 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.