Use of Hyper-Spectral Visible and Near-Infrared Satellite Data for Timely Estimates of the Earth’s Surface Reflectance in Cloudy and Aerosol Loaded Conditions: Part 1–Application to RGB Image Restoration Over Land With GOME-2

Use of Hyper-Spectral Visible and Near-Infrared Satellite Data for Timely Estimates of the Earth’s Surface Reflectance in Cloudy and Aerosol Loaded Conditions: Part 1–Application to RGB Image Restoration Over Land With GOME-2

Space-based quantitative passive optical remote sensing of the Earth’s surface typically involves the detection and elimination of cloud-contaminated pixels as an initial processing step. We explore a fundamentally different approach; we use machine learning with cloud contaminated satellite hyper-s...

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Bibliographic Details
Main Authors: J. Joiner, Z. Fasnacht, W. Qin, Y. Yoshida, A. P. Vasilkov, C. Li, L. Lamsal, N. Krotkov
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Remote Sensing
Subjects:
image reconstruction
cloudy remote sensing
cloud removal
cloud-clearing
cloud-contamination
Online Access:https://www.frontiersin.org/articles/10.3389/frsen.2021.716430/full

Internet

https://www.frontiersin.org/articles/10.3389/frsen.2021.716430/full

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