PLUS University of Salzburg
UBS Université Bretagne Sud
Copernicus Master in Digital Earth
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Copernicus Master in Digital Earth

Dominik Tabernig

Welcome to my ePortfolio

Earth Observation • Remote Sensing • Digital Earth

This ePortfolio provides an overview of my academic work and professional development during my studies in the Copernicus Master in Digital Earth (CDE).

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About Me

Personal Information

Name

Dominik Tabernig

Born

18 August 1999, Salzburg, Austria

Programme

Erasmus Mundus Joint Master – Copernicus Master in Digital Earth (CDE)

Dominik Tabernig
CDE STUDENT

Academic Background

Copernicus Master in Digital Earth

2023 – Present

Specialization: GeoData Science (PLUS) & Geo-Intelligence (UBS). Focus on advanced EO data analysis, machine learning, and spatial modelling.

Bachelor of Science in Geography

2019 – 2023

University of Salzburg. Thesis on Alpine snow remote sensing applications.

Professional Experience

Chef de Partie

2022-Present

Stiegl Brauwelt, Salzburg

Emergency Medical Technician

2019 – 2020

Austrian Armed Forces

Motivation & Goals

Earth observation is where my curiosity feels most at home. I am particularly interested in optical satellite sensors, calibration and validation, and the transformation of raw instrument signals into scientifically reliable products. Through the CDE programme, I aim to deepen my technical skills in remote sensing and Digital Earth concepts and to prepare for a future career contributing to operational Earth-observation missions, ideally in an international research or space-agency context.

Coursework & Expertise

Competencies developed during the master's programme:

Advanced Remote Sensing

Automated image analysis, radiometric correction, segmentation, SVM/Random Forest, CNN concepts, and quality assessment.

Software Engineering

Object-oriented programming, Python, Java, geo-software frameworks including GeoServer, GeoTools, and OpenLayers.

Geospatial Data Models

UML-based modeling, General Feature Model, XML fundamentals, and Geography Markup Language (GML) implementation.

Big Earth Data

Data cube concepts, AI and machine learning for continental and global-scale remote sensing analysis.

Object-Based Analysis

Image segmentation, knowledge representation, class modeling, and object-based classification techniques.

Machine Learning

Applying Random Forest and CNNs for land cover classification.

Selected Projects

Snow Cover Analysis

Bachelor's Thesis: Snow Cover and Snow Height Mapping

This project investigated snow extent and snow depth in the High Tauern / Großglockner region by integrating optical satellite imagery with laser altimetry. The work demonstrates multi-sensor data fusion and physically meaningful interpretation of Earth observation data.

Data Sentinel-2 (optical), ICESat-2 (LiDAR)
Methods NDSI, spatial matching, elevation differencing, GIS-based visualization
Satellite Earth Data

Advanced Remote Sensing Analysis

Hands-on assignments focused on advanced image understanding workflows and quality assessment, reflecting real-world EO application scenarios.

Data Copernicus EO data, VHR imagery, Radar and LiDAR examples
Methods Radiometric correction, segmentation, SVM / Random Forest, CNN concepts

Learning Journey

The CDE programme has been instrumental in shaping my technical capabilities and theoretical understanding of Digital Earth concepts. During the first semester of the CDE programme, I learned how theoretical concepts in Digital Earth are directly connected to real-world applications. The interdisciplinary structure helped me understand problems from technical, environmental, and societal perspectives.

Key Learning Outcomes

  • Digital Earth concepts and Copernicus services
  • Practical geospatial data workflows
  • Ability to communicate complex scientific results effectively.

Technical Skills

Python Remote Sensing: Sentinel data, LiDAR, Radar ArcGIS Pro QGIS SNAP MATLAB Trimble eCognition Git

Get in Touch

Contact Information

  • Location

    Salzburg, Austria

  • Programme

    Copernicus Master in Digital Earth

  • Languages

    German (Native), English (C2), Italian (A1)

Programme Information

The Copernicus Master in Digital Earth is an Erasmus Mundus Joint Master programme co-funded by the European Union.

Partner Universities

• Paris Lodron University Salzburg (PLUS)

• University of South Brittany (UBS)

• Palacký University Olomouc (UPOL)

Visit Programme Website