Antoine Masse, Sidonie Christophe
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1 Antoine Masse, Sidonie Christophe IGN, COGIT Laboratory France
2 Motivation: coastal area geovisualization Coastal area Between highest astronomical tide (shoreline) and lowest astronomical tide (drying line) Drying line Sea/Land interface Shoreline Spatio-temporal objects & phenomena Uncertainty: in motion (tides, sands) Incompleteness of data: underwater observation problems Imprecision: different definitions of an object at different scale Different Shoreline definition Red : DTM data (res. 1m, prec. 0,2m) Yellow : 1:15,000 topomap Blue : 1:50,000 topomap Point Reyes, California 2
3 Motivation: coastal area geovisualization Different uses & users Different geovis Limitations: Visual discontinuities and heterogeneity between sea & land Perception of tides and/or water depth for non-specialist users Ortho-image of La Grande Motte, Google Maps ScanLittoral, Touristic/Public map Interactive elevation simulation of lake Erie, USA (NOAA) Ocean seafloor map of Hawai'i C-Map, navigation software 3
4 Purpose of the talk To convey sea dynamic information to users Example of tide dynamic for informational purposes Hypothesis: Using heterogeneous data (maps, ortho-imagery, LiDAR) to make homogeneous visualizations between sea & land by controlling photo-realism/abstraction to convey tides & water depth perception 4
5 Implementation Lidar acquisition (land/sea) SHOM Inspiration sources Maps, ortho-imagery, Visual Variables Colors, Style Abstraction, ortho-image-realism Geographic feature DTM (land/sea) SHOM Resolution: 1m/5m (land/sea) Vertical precision: 0.2m/0.5m (land/sea) Rendering Engine Final Rendering 10 Water elevation (in meters) 5 External data Perception 0 Tidal data, REFMAR project 5
6 Proposition of geovisualizations Data 10 Water elevation (in meters) examples for water depth visualization, static and dynamic Same data, different stylization of water depth: - Abstraction maps - (Ortho) photo-realism Inspiration 6
7 1st example: perception of water depth by intervals Inspiration: Map abstraction (1:25,000) Low tide 05/28/ :00 Uses: Tourism, Hiking, Fishing Issues: producers uses no tidal information (ex: accessibility of Ile de Melon) High tide 05/28/ :00 Location: Lanildut, Finistère, France Data: DTM: Litto3D OpenData Tidal data: REFMAR OpenData Cartographic database Color map Depth (m) Color 7
8 1st example: perception of water depth intervals Time x4000 8
9 2nd example: continuous perception of water depth Inspiration: Map abstraction Low tide 05/28/ :00 Location: Lanildut, Finistère, France Data: DTM: Litto3D OpenData Tidal data: REFMAR OpenData Cartographic database Colormap (interpolated) High tide 05/28/ :00 Depth (m) Color 9
10 2nd example: continuous perception of water depth Time x
11 3rd example: continuous water depth perception Inspiration: Ortho-image photo-realism Low tide 05/28/ :00 Uses: Exploration, landscape survey, Issues: Color gaps Depth gaps no tidal information visualization of a specific tidal stage High tide 05/28/ :00 Location: Lanildut, Finistère, France Data: DTM: Litto3D OpenData Tidal data: REFMAR OpenData IGN BD Ortho (land part) Colormap (interpolated) Depth (m) Color 11
12 3rd example: water depth perception Brightness +20% Contrast +40% Time x
13 4th example: water depth perception Inspiration: Ortho-image photorealism Low tide 03/21/ :20 Uses: Exploration, landscape survey, Issues: Sands Sea infiltration at high tide High tide 03/21/ :30 Location: Vannes, Morbihan, France Data: DTM: Litto3D OpenData Tidal data: REFMAR OpenData IGN BD Ortho (land part) Colormap (interpolated) Depth (m) Color 13
14 4th example: water depth perception Brightness +20% Contrast +40% Time x
15 Conclusion Goal: Convey sea dynamic information to geovisualization users Thoughts for coastal geovisualization: Important: Data precision and land/sea visual continuity improve water depth perception Static and dynamic visualization -> different use, complementary Abstraction/Photo-realism: same data, different stylization 15
16 Perspectives - User Evaluation: uses and users? readability, handling, adaptation to specific use, integration in final-user applications, etc. Task examples: How deep it is? When is it accessible? - Tool adaptability Other data for validation Realism improvements With new data (ex: seafloor cover) With new stylization tools (expressive textures like waves and sea stream, shaded relief) Our method with other data Carmel-by-the-sea, CA, USA NOAA for DTM (sea) / Google Maps (land) Shaded relief (Yu, 2005) Water texture 16
17 Thanks oxygene-project.sourceforge.net/ mapstyle.ign.fr antoinemasse.fr nice software nice project nice speaker 17
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