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