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Skip to Search Results- 19Remote Sensing
- 3Deep Learning
- 3Machine Learning
- 2Archaeology
- 2Computer Vision
- 2Convolutional Neural Network
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Spring 2012
Carbon and water fluxes are essential components of biospheric processes which directly or indirectly influence climate, surface energy balance, hydrologic processes and hence influence the vegetation productivity, distribution and characteristics. In this research, promising techniques for...
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Spring 2017
The slow movement of historic landslides is a constant reality in the Thompson River Valley, with twelve such slides located within ten kilometers of the town of Ashcroft, B.C. alone. Beginning at the end of the 19th century, numerous rapid slope failures were reported by local residents and the...
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Design and Development of a UAV System for Multispectral Imaging and Remote Sensing Applications
DownloadSpring 2018
The increasing use of the Unmanned Aerial Vehicles (UAVs) over the past few years has opened the door to a large number of applications in research, commercial, and industrial areas. UAVs have become an efficient, cost effective, and environmentally friendly (less or zero CO2 emissions) platform...
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Fall 2018
Terrestrial vegetation contributes strongly to dynamic biosphere-atmosphere exchanges of mass and energy, through activities such as photosynthesis, that help shape the Earth’s climate. The boreal forest is located in high latitudes and subject to large seasonal temperature fluctuations and a...
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Evaluating recent advances in active microwave remote sensing for Arctic sea ice monitoring
DownloadFall 2018
The objective of this research was to evaluate recent advances in active microwave remote sensing technologies in order to further refine the optimal radar parameters for sea ice monitoring in support of marine operations and climate research. To achieve this objective, data from recent active...
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Predictive Mapping of Yellow Rail (Coturnicops noveboracensis) Density and Abundance in the Western Boreal Forest via Ground and Satellite Remote Sensors
DownloadFall 2019
The Yellow Rail (Coturnicops noveboracensis) is a small, secretive, wetland bird, which is apparently rare throughout most of its range. Almost nothing is known about its abundance and density in the wetlands of the western boreal forest. Emerging technologies have enabled us to effectively...
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Fall 2019
Photoacoustic imaging systems have proven to be power tools for visualizing optical absorption contrast within highly turbid media such as biological tissues. They provide high chromophore specificity in vivo due to the dramatic optical absorption contrast which exists between biological targets....
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A Data Driven Approach to Creating a Traffic Sign Asset Inventory using Remote Sensing Technology
DownloadSpring 2019
Traffic signs play a critical role in the safety and efficiency of any roadway, but with limited information on the current status of traffic sign inventories, the placement and condition of traffic signs goes largely unchecked. Therefore, the collection of a complete traffic sign inventory (TSI)...
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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...