Contemporary sea level rise (SLR) research seldom considers enabling
effective geovisualisation for the communities. This lack of knowledge transfer
impedes raising awareness on climate change and its impacts. The goal of this
study is to produce an online SLR map accessible to the public that allows them
to interact with evolving high-resolution geospatial data and techniques. The
study area was the North Shore of Vancouver, British Columbia, Canada. While
typically coarser resolution (10m+/pixel) Digital Elevation Models have been
used by previous studies, we explored an open access airborne 1 metre LiDAR
which has a higher resolution and vertical accuracy and can penetrate tree
cover at a higher degree than most satellite imagery. A bathtub method model
with hydrologic connectivity was used to delineate the inundation zones for
various SLR scenarios which allows for a not overly complex model and process
using standard tools such as ArcGIS and QGIS with similar levels of accuracy as
more complex models, especially with the high-resolution data. Deep Learning
and 3D visualizations were used to create past, present, and modelled future
Land 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 was
detailed. The generated interactive online map helps local communities
visualise and understand the future of their coastlines. We have provided a
detailed methodology and the methods and results are easily reproducible for
other regions. Such initiatives can help popularise community-focused
geovisualisation to raise awareness about SLR.

该研究使用 1 米 LiDAR 探测数据构建了一个在线的海平面上升地图，采用一种浴缸模型法来推断不同海平面上升情景下的淹没区域，并利用数据挖掘和 3D 可视化技术展示了不同情景下的土地利用、地形和海岸线的变化，有助于提高人们对海平面上升的认识。

构建温哥华北岸海平面上升互动在线地图：为沿海社区实现地理可视化提供方法和洞见

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