Combining domain filling with a self-organizing map to analyze multi-species hydrocarbon signatures on a regional scale
For the period of the Barnett Coordinated Campaign, October 16–31, 2013, hourly concentrations […]
Estimating the daily pollen concentration in the atmosphere using machine learning and NEXRAD weather radar data
Millions of people have an allergic reaction to pollen. The impact of pollen […]
Applying Deep Neural Networks and Ensemble Machine Learning Methods to Forecast Airborne Ambrosia Pollen
Allergies to airborne pollen are a significant issue affecting millions of Americans. Consequently, […]
Remote Sensing of CDOM, CDOM Spectral Slope, and Dissolved Organic Carbon in the Global Ocean
A Global Ocean Carbon Algorithm Database (GOCAD) has been developed from over 500 […]
Machine Learning Applications for Earth Observation
Machine learning has found many applications in remote sensing. These applications range from […]
Low-altitude Terrestrial Spectroscopy from a Pushbroom Sensor
Hyperspectral cameras sample many different spectral bands at each pixel, enabling advanced detection […]
Using Machine Learning to Estimate Global PM2.5 for Environmental Health Studies
With the increasing awareness of health impacts of particulate matter, there is a […]
Vote on Best Landmark for ‘3D Dallas’ Project
Dr. Georgia Fotopoulos and her graduate students are asking for the UT Dallas […]
NSF CAREER Award
MINTS affiliate Dr. Guo has just been awarded an NSF CAREER Award. With […]
Flight with Laser Based Gas Sensors
We just had our first flights carrying Mark Zondlos miniature Laser Based Gas […]
Robotic Helicopter Applications
Dr. David Lary is leading a team to develop a fleet of remote-controlled […]
Work begins on robotic fleet
Construction has started on our robotic fleet of vehicles. The first acrobatic helicopter […]
Secrets of a dynamic planet
The University of Texas at Dallas geosciences team pursues a multidisciplinary program to […]
Identifying Oil Spills
Identifying Oil Spills using Self Organizing Maps and multi-spectral signatures. In our prototype studies […]
Grants from DOD & NIH
Numerous studies have associated acute and chronic exposures to high levels of particulate […]
Aerosol in the lowest km
A key step in having a global daily PM2.5 data product for health […]
Graduate Work on Helicopters
In keeping with the multi-disciplinary approach of MINTS, two new UTD graduate students […]
Ocean Classification
We have made progress using Self Organizing Maps for Ocean Ecosystem classification. Our […]
Cow scanning at South Fork
We scanned our first cows at South Fork Ranch, in Parker TX, using a […]
NCALM Steering Committee
Prof. Alexander Braun has been appointed to the Steering Committee of the NSF funded […]