2024
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Item Enhancing road safety in Nova Scotia: A geospatial analysis of traffic accidents and mapping hotspots(Electronic version published by Vancouver Island University, 2024) Gaikar, Sharvari; Sloan, SeanThis research focuses on analyzing the spatial distribution of traffic accidents across Nova Scotia's major highways—102, 101, 103, and 107—key routes for both freight and commuter traffic. The project aims to identify accident hotspots and contributing factors to develop targeted safety interventions and improve road safety measures.Item Positional accuracy of mobile phones under static and dynamic conditions(Electronic version published by Vancouver Island University, 2024-08) Salim, Tareq; Zandbergen, PaulIn this research, positional accuracy is examined using an Android Samsung S24 Ultra Phone. Four types of measurements were done in nine indoor and ten outdoor sites.Item A multi-sensor approach to classification of juvenile freshwater fish habitat inventory using UAVs(Electronic version published by Vancouver Island University, 2024-04-20) Greaves, David; Sloan, Sean; Vandenbos, RenaFish habitat surveys are essential to understand, mitigate, and adapt to changing climates and other human-caused impacts to streams and fish populations. Unmanned aerial vehicles (UAVs) and related technologies are being successfully used to improve traditional fisheries assessment methods and can provide rapid, high-resolution, and cost-effective data, allowing for more comprehensive and timely monitoring of aquatic ecosystems. There is a need to advance, optimize, and implement innovative workflows for processing UAV data to supplement traditional fisheries surveys. This study focused on the development of UAV-based data product analysis techniques and workflows to identify channel width, wetted edge, stream gradient, temperature, and large woody debris presence and abundance. It explored multiple sensor payload data acquisition approaches, including LiDAR, RGB, long-wave infrared (thermal) and multispectral imaging. It compared the accuracy of the classified drone-based data products to field-verified fish habitat inventory metrics within three West Kootenay streams (Glade, Lemon and Norns Creek). Through use of a hybrid analysis approach of multiple sensor data types, including object-based image analysis, supervised and unsupervised classification, and raster spatial analysis techniques, classified stream habitat target feature maps were generated and associated with survey metrics, including how they compare with traditional ground-based approaches.