Andrea Meraner
Remote Sensing Scientist For Optical Imagery at EUMETSAT
Hesse, Germany
Summary
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Rockstar🎓
Top SchoolAndrea Meraner is a Remote Sensing Scientist at EUMETSAT with six years of experience developing algorithms and software for processing optical satellite imagery across geostationary and LEO missions. He is currently focused on commissioning the MTG-FCI instrument and has hands-on expertise in cloud removal from multispectral high-resolution images using deep neural networks and SAR-optical fusion from his master’s work. Andrea contributes to open-source EO tooling—enhancing the widely used satpy package to better handle SEVIRI HRV data and navigation—bridging research-grade methods with production-ready processing pipelines. Based in Hesse, Germany, he combines theoretical grounding from TUM and an exchange at IIT Mandi with practical roles at DLR and other research institutes. Outside of work he balances technical curiosity with photography and mountain adventures, reflecting a visual and field-oriented approach to Earth observation.
6 years of coding experience
4 years of employment as a software developer
M.Sc., M.Sc. at Technical University MunichM.Sc. Exchange Semester, M.Sc. Exchange Semester at Indian Institute of Technology, Mandi
English, German, Italian, ladin
Github Skills (5)
xray10
hdf10
python10
data-processing10
xa10
Programming languages (4)
Github contributions (5)
pytroll/satpy
Nov 2019 - Dec 2022
Python package for earth-observing satellite data processing
Role in this project:
Back-end Developer
Back-end DeveloperContributions:139 reviews, 270 commits, 47 PRs in 3 years
Contributions summary:Andrea primarily contributed to the development of the `satpy` Python package, focusing on enhancing its functionality for processing earth-observing satellite data. Their work included implementing and modifying the reading of SEVIRI L1b native format files, specifically addressing the handling of HRV (High Resolution Visible) channel data and navigation parameters. Furthermore, the user addressed code style issues to improve the maintainability and readability of the code. These improvements directly increased the ability of the satpy package to handle new types of data or to handle current data better.
pythonsatellitedaskxarray
ameraner/sift
May 2023 - Oct 2025
A visualization application for satellite imagery
Contributions:28 pushes, 22 branches in 2 years 4 months
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