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Articles 1 - 5 of 5

Full-Text Articles in Geography

The Role Of Traditional Knowledge In Coastal Adaptation Priorities: The Pamunkey Indian Reservation, Nicole S. Hutton, Thomas R. Allen Dec 2020

The Role Of Traditional Knowledge In Coastal Adaptation Priorities: The Pamunkey Indian Reservation, Nicole S. Hutton, Thomas R. Allen

Political Science & Geography Faculty Publications

Coastal reservations are increasingly vulnerable to hazards exacerbated by climate change. Resources for restoration projects are limited. Storm surge, storms, tidal flooding, and erosion endanger artifacts and limit livelihoods of tribes in coastal Virginia. GIS offers a platform to increase communication between scientists, planners, and indigenous groups. The Pamunkey Indian Tribe engaged in a participatory mapping exercise to assess the role of traditional ecological knowledge (TEK) in coastal management decision-making and its capacity to address flooding. Priorities and strategies were spatially referenced using maps of potential sea level rise for 2040, 2060, and 2080, input into a resilience matrix to …


Odu Researchers Work With Pamunkey Tribe To Address Sea Level Rise On Its Lands, Amy Matzke-Fawcett Oct 2020

Odu Researchers Work With Pamunkey Tribe To Address Sea Level Rise On Its Lands, Amy Matzke-Fawcett

News Items

No abstract provided.


Odu Researchers' Future Flood Maps Inform Virginia's Coastal Resilience Master Planning Process, News @ Odu Oct 2020

Odu Researchers' Future Flood Maps Inform Virginia's Coastal Resilience Master Planning Process, News @ Odu

News Items

No abstract provided.


Odu Researchers Lead Team That Secured Department Of Defense Offshore Wind Grant, News @ Odu Aug 2020

Odu Researchers Lead Team That Secured Department Of Defense Offshore Wind Grant, News @ Odu

News Items

No abstract provided.


Deep Learning For Remote Sensing Image Processing, Yan Lu Aug 2020

Deep Learning For Remote Sensing Image Processing, Yan Lu

Computational Modeling & Simulation Engineering Theses & Dissertations

Remote sensing images have many applications such as ground object detection, environmental change monitoring, urban growth monitoring and natural disaster damage assessment. As of 2019, there were roughly 700 satellites listing “earth observation” as their primary application. Both spatial and temporal resolutions of satellite images have improved consistently in recent years and provided opportunities in resolving fine details on the Earth's surface. In the past decade, deep learning techniques have revolutionized many applications in the field of computer vision but have not fully been explored in remote sensing image processing. In this dissertation, several state-of-the-art deep learning models have been …