Homogeneous Geovisualization of Coastal Areas From Heterogeneous Spatio-Temporal Data

Abstract

ABSTRACT:On coastal areas, recent increase in production of open-access high-quality data over large areas reflects high interests in modeling and geovisualization, especially for applications of sea level rise prediction, ship traffic security and ecological protection. Research interests are due to tricky challenges from the intrinsic nature of the coastal area, which is composed of complex geographical objects of which spatial extents vary in time, especially in the intertidal zone (tides, sands, etc.). Another interest is the complex modeling of this area based on imprecise cartographic objects (coastline, highest/lowest water level, etc.). The challenge of visualizing such specific area comes thus from 3D+t information, i.e. spatio-temporal data, and their visual integration. In this paper, we present a methodology for geovisualization issues over coastal areas. The first challenge consists in integrating multi-source heterogeneous data, i.e. raster and vector, terrestrial and hydrographic data often coming from various 'paradigms', while providing a homogeneous geovisualization of the coastal area and in particular the phenomenon of the water depth. The second challenge consists in finding various possibilities to geovisualize this dynamic geographical phenomenon in controlling the level of photorealism in hybrid visualizations. Our approach is based on the use of a high-resolution Digital Terrain Model (DTM) coming from high resolution LiDAR data point cloud, tidal and topographic data. We present and discuss homogeneous hybrid visualizations, based on LiDAR and map, and on, LiDAR and orthoimagery, in order to enhance the realism while considering the water depth.

Review of the state of practice in geovisualization in the geosciences

“…The simulations can be interactive or static and have a variety of applications. GIS-based 3D visualizations have been used for mapping alluvial sites, modelling elevation and topography, measuring landslide vulnerability, and mapping water depth (Masse and Christophe, 2015;Heitzler et al, 2017a;Mossa et al, 2019;Wahyudi et al, 2020;Ahmed, Mahmud, and Tuya, 2021). These techniques using GIS have demonstrated that 3D visualizations can provide new insight alongside their 2D counterparts (Mossa et al, 2019), can provide additional geographic data, and model virtual representations of real events (Wahyudi et al, 2020).…”

Améliorer la perception du réalisme dans la géovisualisation du littoral

“…Deux éléments spatio-temporels sont couramment utilisés pour représenter la mer en zone littorale : l'interface terre/mer et la profondeur de l'eau (Masse et Christophe, 2015). L'interface terre/mer est souvent représentée sous forme de ligne représentant un niveau théorique maximal du niveau de la mer appelé trait de côte.…”

Virtual Data Sphere: Inverse Stereographic Projection for Immersive Multi-Perspective Geovisualization

“…Many advances in visualization or visual analytics in geovisualization and urbanism are still making use of a flat map representation ( (Masse and Christophe, 2015), (Karduni et al, 2017), and most examples listed of the literature review in (Zheng et al, 2016)), building on the traditional methods of cartography. However, with the increasing availability and accessibility of 3D technology and data, the use of 3D geovirtual environments (Pasewaldt, 2013) is finding growing advocacy in multiple geospatial domains.…”