A color shaded relief (CSR) utilizes chromo stereoscopic techniques to help emphasize the depth of the Z dimension from traditional shaded relief models that already portray the presence of an elevation difference. Using carefully edited …
The main goal of this project was to generate flood maps and DEMs with better than 30 cm vertical accuracy for the coastal area of southeastern New Brunswick.
I created and presented the following poster that summarized my Flood Simulation Modeling with High Resolution LIDAR project as part of my Applied Geomatics graduate work at COGS in 2004. The areas in the poster are of Shediac & Parlee Beach, New Brunswick
Here is a summer GIS project that I worked on for Parks Canada.
The PDF technical report details the methodologies and issues that were encountered with a Spatial GIS vegetation database and GIS Spatial modeling project at the Applied Geomatics Research Group (AGRG) during the summer of 2004 that involved generating a spatial geographic database for Jeremy’s Bay Campground of Kejimkujik National Park and Historic Site. High resolution aerial photography acquired from a previous AGRG aerial photography mission was used along with extensive data collected during a Rapid Vegetation Assessment survey and a detailed forest stand interpretation.
salamanders; Kejimkujik has more amphibians and reptiles than anywhere else in the Atlantic Provinces. The park is also home to many birds, especially common loons, and fish which include brook trout and white and yellow perch. In Canada, National Parks are considered places where ecosystems and ecological integrity should be maintained and Kejimkujik National Park is no exception.
The project was divided into two main sections that were indirectly related to one other. The first major part of the project was the compilation of digital line work and the creation of a Geographic Information System (GIS) Spatial database of forest stands found within the campground. The second part of the project was focused on generating a GIS spatial database of the vegetation found within each campsite that was collected during a Rapid Vegetation Assessment (RVA) Survey.