High-Resolution Solar Surface Irradiance Mapping from Sentinel-2 for Enhancing CAMS Products

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High-Resolution Solar Surface Irradiance Mapping from Sentinel-2 for Enhancing CAMS Products

Master Thesis (2025)

Author(s)

L.E. van Neerbos (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

M.B. van Gijzen – Mentor (TU Delft - Numerical Analysis)

Quentin Paletta – Mentor (European Space Agency (ESA))

B.J. Meulenbroek – Graduation committee member (TU Delft - Mathematical Physics)

A. Meyer – Graduation committee member (TU Delft - Atmospheric Remote Sensing)

Faculty

Electrical Engineering, Mathematics and Computer Science

Machine learning Remote sensing U-Net Sentinel-2 Super-resolution CAMS Solar surface irradiance SegFormer Cloud index Cloud height

To reference this document use:

https://resolver.tudelft.nl/uuid:b991bcd0-c427-4589-90c5-a667edf78847

More Info

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Publication Year

2025

Language

English

Graduation Date

26-09-2025

Awarding Institution

Delft University of Technology

Programme

['Applied Mathematics | Computational Science and Engineering']

Faculty

Electrical Engineering, Mathematics and Computer Science

Reuse Rights

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Abstract

https://github.com/lotvanneerbos/HeLEOsat-S2

Files

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File under embargo until 01-09-2026