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, 781–789, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-781-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 781–789, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-781-2020

  25 Aug 2020

25 Aug 2020

VISUALIZING 3D CLIMATE DATA IN URBAN 3D MODELS

J. Gautier, S. Christophe, and M. Brédif J. Gautier et al.
  • LASTIG, Univ Gustave Eiffel, ENSG, IGN, F-94160 Saint-Mandé, France

Keywords: 3D visualization, co-visualization, urban climate, climate visualization, simulation data, 3D field data

Abstract. In order to understand and explain urban climate, the visual analysis of urban climate data and their relationships with the urban morphology is at stake. This involves partly to co-visualize 3D field climate data, obtained from simulation, with urban 3D models. We propose two ways to visualize and navigate into simulated climate data in urban 3D models, using series of horizontal 2D planes and 3D point clouds. We then explore different parameters regarding transparency, 3D semiologic rules, filtering and animation functions in order to improve the visual analysis of climate data 3D distribution. To achieve this, we apply our propositions to the co-visualization of air temperature data with a 3D urban city model.