The goal of this Master’s thesis project is to use Geographic Information Systems (GIS) to determine which mode of deposition (structural features or lithologic changes) better explains the linear depositional pattern of mercuric minerals within the Arkansas mercury district by examining which potential control mechanism is closer to the deposit locations. Presumably, the closer a controlling mechanism is to the site of deposition, the more influence it will have on the deposit location.
The goal of this project is to develop a mobile monitoring system for an ad-hoc transit system. This system will provide mobile device users with accurate location information of vehicles not necessarily adhering to a strict route of transit. We plan to provide this service not only to transit users with handheld mobile devices, but also to businesses known to serve large numbers of transit users with custom-built "kiosks".
This project aims to provide the basic data set needed for well-planned economic development in the Pontotoc, New Albany, Blue Springs, and Tupelo area.
Our task has been to provide a coherent conceptual and operational framework for creating a community socio-economic resilience profile (SERP) through GIS so it can be used to develop tools that may allow local citizens and planners to assess and enhance their community's resilience.
This project describes the effectiveness of using standard Moderate Resolution Imaging Spectroradiometer (MODIS) imagery and products, produced by NASA and distributed through the Distributed Active Archive Centers (DAACs), to monitor and map oil on the surface of the Gulf of Mexico from the oil release at the Deepwater Horizon site.
The goal of this project is to test and validate next generation Global Precipitation Measurement Mission (GPM) data to 1) enhance the current satellite-based inputs into SERVIR, 2) replace AMSR-E data used for SERVIR’s flood Decision Support System (DSS) for floods and 3) calibrate flood extent information generated from AMSR-E data with gauging data in Central America.
The goal of this project is to develop and test digital field mapping solutions to support disaster preparedness while providing worldwide access to any collected data for World Vision International or other staff as a tool to communicate disaster need to potential donors.