Bridging the gap: Computer scientists develop model to enhance water data from satellitesVaried data fusion approaches present limitations, incl...
Published on by Water Network Research, Official research team of The Water Network
Varied data fusion approaches present limitations, including sensitivity to atmospheric disturbances and other climatic factors that can result in noise, outliers and missing data.
A proposed solution, say Hosseinzadeh, a doctoral student, and his faculty mentor Soukaina Filali Boubrahimi, is the Hydrological Generative Adversarial Network—known as Hydro-GAN. The scientists developed the Hydro-GAN model with USU colleagues Ashit Neema, Ayman Nassar and Shah Muhammad Hamdi, and describe this tool in the online issue of Water Resources Research.
Attached link
https://phys.org/news/2024-03-bridging-gap-scientists-satellites.htmlTaxonomy
- Data Management
- Satellite
- Data