On July 14, 2026, Elena Scholz will present her internship results on ” Global Water Detection and Thermal UAV Data Analysis” at 12:00 in seminar room 3, John-Skilton-Str. 4a.
From the abstract: Internship 1 – DLR-DFD “Watersecurity and Coastal Systems”
The majority of global liquid freshwater is stored in natural lakes and artificial water reservoirs. The presence of freshwater is essential for human settlements, industry, biodiversity, and agriculture and is influenced by various factors. Therefore, information about temporal and spatial open surface water distribution is essential in many disciplines. The “Global Water Pack” (GWP) accounts for this by providing daily water masks on a global scale. During this internship, the GWP was compared to other open-source water products on a global and European scale, with the aim of detecting similar or differing patterns in water detection algorithms.
From the abstract: Internship 2 – Czech University of Life Sciences in Prague at OpenSkyLab.Space :
Soil thermal and moisture conditions are key drivers of ecosystem processes. Obtaining reliable high-resolution data remains a major challenge. While drone-based thermal imagery appears to offer a straightforward solution, the results rely on numerous assumptions. Furthermore, thermal data is strongly influenced by vegetation emissivity, soil type, and changing atmospheric conditions. The team at OpenSkyLab.Space aims to quantify the impact of the above-stated parameters on thermal drone imagery acquired from DJI platforms. To address this, they link their measurements to various ground sensors and meteorological observations. During this internship, tasks ranged from teaching assistance and experiment preparation to literature review, data processing, and statistical analysis, providing a broad and diverse work experience.
1st supervisor: Prof. Dr. Tobias Ullmann
From the abstract: Internship 1 – DLR-DFD “Watersecurity and Coastal Systems”
The majority of global liquid freshwater is stored in natural lakes and artificial water reservoirs. The presence of freshwater is essential for human settlements, industry, biodiversity, and agriculture and is influenced by various factors. Therefore, information about temporal and spatial open surface water distribution is essential in many disciplines. The “Global Water Pack” (GWP) accounts for this by providing daily water masks on a global scale. During this internship, the GWP was compared to other open-source water products on a global and European scale, with the aim of detecting similar or differing patterns in water detection algorithms.
From the abstract: Internship 2 – Czech University of Life Sciences in Prague at OpenSkyLab.Space :
Soil thermal and moisture conditions are key drivers of ecosystem processes. Obtaining reliable high-resolution data remains a major challenge. While drone-based thermal imagery appears to offer a straightforward solution, the results rely on numerous assumptions. Furthermore, thermal data is strongly influenced by vegetation emissivity, soil type, and changing atmospheric conditions. The team at OpenSkyLab.Space aims to quantify the impact of the above-stated parameters on thermal drone imagery acquired from DJI platforms. To address this, they link their measurements to various ground sensors and meteorological observations. During this internship, tasks ranged from teaching assistance and experiment preparation to literature review, data processing, and statistical analysis, providing a broad and diverse work experience.
1st supervisor: Prof. Dr. Tobias Ullmann
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