Development of a machine learning tool for gap-filling cloudy satellite data for use in environmental science application
James Cook University
Role
Principal Investigator
Description
In this project, we developed an artificial intelligence tool for gap filling sea-surface temperatures in cloud-affected data. The results are now published in IEEE Transactions on Geoscience and Remote Sensing (IF: 8.2 in 2024)
Date
N/A
Project Type
INTERNAL_RESARCH_GRANT
Keywords
N/A
Funding Body
James Cook University
Amount
3000
Project Team
N/A