USU Scientists Pioneer Hydro-GAN to Improve Satellite Water Data Analysis
Published
Los Angeles CA (SPX) Mar 22, 2024
Utilizing satellites for gathering detailed water data across Earth's diverse aquatic landscapes presents significant challenges due to the varying resolutions of existing satellite imagery. Researchers at Utah State University have developed a novel solution to this problem, introducing a machine learning model known as Hydrological Generative Adversarial Network, or Hydro-GAN. This development