Shoreline Erosion at Mad Island Marsh Preserve, Matagorda County, Texas

Shoreline Erosion at Mad Island Marsh Preserve, Matagorda County, Texas

Date: August 2005
Creator: Mangham, Webster
Description: The Nature Conservancy of Texas (TNC) is concerned with the amount of shoreline erosion taking place at its Mad Island Marsh Preserve (MIMP), located in Matagorda Bay, Texas. The MIMP is a 7,100 acre nature preserve that borders the Gulf Intracoastal Waterway and is eroded by waves generated by barge traffic. TNC is concerned that erosion will shorten Mad Island Bayou which may increase the salinity of Mad Island Lake; with detrimental effects on lake and marsh habitats. This study uses GPS technology to map the current shoreline and GIS to determine ten year erosion rates (1995 - 2005). Results show that erosion is occurring at various rates along the shoreline as well as along the oxbow bend in Mad Island Bayou.
Contributing Partner: UNT Libraries
GPS CaPPture: a System for GPS Trajectory Collection, Processing, and Destination Prediction

GPS CaPPture: a System for GPS Trajectory Collection, Processing, and Destination Prediction

Date: May 2012
Creator: Griffin, Terry W.
Description: In the United States, smartphone ownership surpassed 69.5 million in February 2011 with a large portion of those users (20%) downloading applications (apps) that enhance the usability of a device by adding additional functionality. a large percentage of apps are written specifically to utilize the geographical position of a mobile device. One of the prime factors in developing location prediction models is the use of historical data to train such a model. with larger sets of training data, prediction algorithms become more accurate; however, the use of historical data can quickly become a downfall if the GPS stream is not collected or processed correctly. Inaccurate or incomplete or even improperly interpreted historical data can lead to the inability to develop accurately performing prediction algorithms. As GPS chipsets become the standard in the ever increasing number of mobile devices, the opportunity for the collection of GPS data increases remarkably. the goal of this study is to build a comprehensive system that addresses the following challenges: (1) collection of GPS data streams in a manner such that the data is highly usable and has a reduction in errors; (2) processing and reduction of the collected data in order to prepare it and ...
Contributing Partner: UNT Libraries
GPS/GSM Based Tracking System for the Recovery of High Power Model Rockets

GPS/GSM Based Tracking System for the Recovery of High Power Model Rockets

Date: 2013
Creator: Bih, Michael; Gscheidle, Karl H.; Hardy, Debra; Kollipara, Naveen & Kulle, Gregory
Description: This report discusses research on GPS/GSM based tracking systems for the recovery of high power model rockets. This research is part of Research Experiences for Teachers (RET) in Sensor Education, a National Science Foundation (NSF) funded grant project.
Contributing Partner: UNT College of Engineering
Rocket Recovery Systems for High Power Model Rocketry

Rocket Recovery Systems for High Power Model Rocketry

Date: 2013
Creator: Bih, Michael; Gscheidle, Karl H.; Hardy, Debra; Kulle, Gregory; Acevedo, Miguel F.; Kollipara, Naveen et al.
Description: This presentation discusses research on rocket recovery systems for high power model rocketry using Arduino microprocessors with GPS and GSM shields for tracking. This research is part of Research Experiences for Teachers (RET) in Sensor Education, a National Science Foundation (NSF) funded grant project.
Contributing Partner: UNT College of Engineering
GPS: Rocket

GPS: Rocket

Date: 2013
Creator: Gscheidle, Karl H.; Hardy, Debra; Kulle, Gregory; Bih, Michael & Acevedo, Miguel F.
Description: This video discusses research on developing a rocket recovery system with sensor networks and wireless communication. The research team project was to develop a GPS/GSM based tracking system for the recovery of high power model rockets. This research is part of Research Experiences for Teachers (RET) in Sensor Education, a National Science Foundation (NSF) funded grant project.
Contributing Partner: UNT College of Engineering