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Contemporary sea level rise (SLR) research seldom considers enablingeffective geovisualisation for the communities. This lack of knowledge transferimpedes raising awareness on climate change and its impacts. The goal of thisstudy is to produce an online SLR map accessible to the public that allows themto interact with evolving high-resolution geospatial data and techniques. Thestudy area was the North Shore of Vancouver, British Columbia, Canada. Whiletypically coarser resolution (10m+/pixel) Digital Elevation Models have beenused by previous studies, we explored an open access airborne 1 metre LiDARwhich has a higher resolution and vertical accuracy and can penetrate treecover at a higher degree than most satellite imagery. A bathtub method modelwith hydrologic connectivity was used to delineate the inundation zones forvarious SLR scenarios which allows for a not overly complex model and processusing standard tools such as ArcGIS and QGIS with similar levels of accuracy asmore complex models, especially with the high-resolution data. Deep Learningand 3D visualizations were used to create past, present, and modelled futureLand Use/Land Cover and 3D flyovers. Analysis of the possible impacts of 1m,2m, 3m, and 4m SLR over the unique coastline, terrain and land use wasdetailed. The generated interactive online map helps local communitiesvisualise and understand the future of their coastlines. We have provided adetailed methodology and the methods and results are easily reproducible forother regions. Such initiatives can help popularise community-focusedgeovisualisation to raise awareness about SLR.

Generating an interactive online map of future sea level rise along the  North Shore of Vancouver: methods and insights on enabling geovisualisation  for coastal communities