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Advancing Forest Health Monitoring: Harnessing the Power of Deep Learning Computer Vision for Remote Sensing Applications
DownloadFall 2023
Forests provide immense economic, ecological, and societal values, making forest health monitoring (FHM) a crucial task for guiding conservation and management of these essential ecosystems. Drones have seen increased popularity in this domain due to their ability to collect high-resolution,...
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Fall 2023
Studying structural changes in tropical forests is essential for understanding changes in ecosystem complexity. In this thesis, I studied changes in ecosystem structure using two different airborne Light Detection and Range (LiDAR) systems collected 16-years apart (the 2005 dry season and the...
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Wildfire Fuel Mapping with Convolutional Neural Networks for Remote Automated Exposure Assessment
DownloadFall 2023
While beneficial to the natural environment in many cases, wildfires become hazardous when they intersect with the built environment. As such, there is an ongoing effort to understand the fire environment, the fuels it contains, and the way that wildfire interacts with the built environment. In...
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Fall 2022
The objective of signal decomposition is to extract and separate distinct signal components from a composite signal. Signal decomposition has been studied in many applications, such as image, video, audio, and speech signals. This thesis focuses on the category of signal decomposition on...
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An Integrated 3D Safety-based Approach for the Design of Horizontal Curves using Reliability Analysis and LiDAR Data
DownloadSpring 2022
Safety-based design can be described as an approach in which safety is considered a core design input and the safety performance of proposed designs that follow this approach can be expected. Although current-day highway design guidelines are constantly updated to incorporate recent advances in...
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Fall 2021
While research has been done in North America on the uses of various near surface geophysical techniques on european settler sites, the pre-contact sites of the First Nations people are often seen as too difficult to interpret separately from the environment they are in. This research set out to...
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Assessing Ecosystem Productivity Through the Integration of Micrometeorology and Optical Remote Sensing
DownloadSpring 2020
The main goal of this thesis is to contribute to the growing body of scientific work by exploring mechanisms of ecosystem productivity through the integration of remote sensing and micrometeorological data. This was done throughout by (i) identifying the environmental mechanisms affecting...
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Characterizing an in-situ fraction of Photosynthetic Active Radiation product for implementation in the validation of MODIS-derived fraction of Photosynthetic Active Radiation products using continuous-wavelet transforms
DownloadSpring 2020
The goal of this thesis is to address the need to improve forestry monitoring and satellite validation techniques to better contextualize the effects that human-induced climate change is having on tropical dry forests (TDFs). Climate change is expected to change regional and global precipitation...
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Scalable Solutions to Image Abnormality Detection and Restoration using Limited Contextual Information
DownloadFall 2020
Detecting and interpreting image abnormalities and restoring images are essential to many processing pipelines in diverse fields. Challenges involved include randomness and unstructured nature of image artefacts (from signal processing perspective) and performance constraints imposed by...
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Above, Beneath, and Within: Collaborative and Community-Driven Archaeological Remote Sensing Research in Canada
DownloadSpring 2020
This thesis investigates the application of geophysics and remote sensing techniques in community-driven and collaborative archaeology research in Canada. While these techniques have become common among some archaeologists, they have yet to be extensively used within the lens of Indigenous...