- Burkhalter, Felix. (ongoing). Fuel moisture mapping for assessing fire potential using EnMAP data
- Kelch, Ronja. (ongoing). Woody encroachment in private and communal areas in Namibia: A fraction cover analysis along the rainfall gradient using Landsat data (1984-2023)
- Sabanoglu, Tolga. (2024). Estimating fractional land cover forms using EnMAP and Sentinel-2 spectral-temporal metrics in Northeastern Namibia
- Zheleznyy, Oleg. (2024). Satellite-based measures of postfire recovery in Siberian forests
- Depperman, Lara. (2024). Quantifying Tree Mortality in Rewetted Peatlands: The Role of Water Levels
- Alsleben, Jonas. (2024). Quantifying temperate forest mortality based on fractional cover time-series in Germany
- Leo, Mira. (2024). A Sentinel-2 Satellite-Based Analysis of the Effects of the Russian Invasion in Ukraine in 2022 on Land Abandonment and Crop-Type Dynamics
- Smith, Maeve. (2023). Drought effects in Germany - examining the potential difference between forest edge and interior with Sentinel-2 data
- Lang, Clemens. (2023). Analysing Forest Change in Albania between 1990 and 2021
- Bacher, Saskia. (2022). Understanding Drought Effects on Bark Beetle Disturbances in National Park Forests, Germany
- Krüger, Kirsten. (2022). Analysing forest gap dynamics with high-resolution repeat lidar in the Berchtesgaden National Park
- Schneidereit, Shawn. (2022). Diving into new dimensions: unmixing Sentinel-2 data to assess wetland vegetation dynamics in North-Eastern Germany
- Bartsch, Julia. (2022). Long-term fire reconstruction in Chiquitano tropical dry forest
- Gomez-Medina, Camila. (2022). Morphological Urban Areas and their material stocks in the United States
- Isensee, Johannes. (2022). Upscaling UAV to Sentinel-2 for mapping grassland biomass (working title)
- Edler, Raphaela. (2022). Comparing the German Forest Fire Danger Index and medium-resolution satellite Products for the Quantification of Fire Occurrence in central Europe
- Happel, David. (2022). The effects of time series data augmentation in domain generalization for crop type mapping
- Fahrenberg, Monique. (2022). Hydrometeorology thresholds for anomalies in GPP as a definition of extreme events
- Derenthal, Marius. (2021). Baysian modeling of oil palm expansion in Santander, Colombia
- Browning, Keri. (2021). Patterns of Grassland Management Intensity and Their Relation With Biodiversity in Southern Sweden
- Nill, Leon. (2021). Revealing Spatio-temporal Dynamics of Arctic Shrub Expansion: Utilizing Vegetation Cover Fractions from Landsat Time Series
- Pfoch, Kira. (2021). Mapping forest fire severity using multi-temporal unmixing of Sentinel-2 data - towards a quantitative understanding of fire impacts
- Thiel, Fabian. (2020). Mapping forest canopy cover dynamics using spectral unmixing and Landsat time series
- Jänicke, Clemens. (2020). Assessing immediate drought impacts on forest ecosystems by combining phenological parameters with drought indices
- Ernst, Stefan. (2020). Implications of Sentinel-2 observation density on land cover classification
- Blickensdörfer, Lucas. (2020). The Influence of Meteorological Conditions on National-Scale Crop Type Mapping and Model Transferability Based on Landsat and Sentinel-2 Time Series
- Streif, Daniel. (2020). Regional adjustment of grassland start of season predictions in Germany through temperature sum calibration based on phenological ground observations and remote sensing time series
- Wesemeyer, Max. (2020). Differentiation of grassland management in Brandenburg based on Sentinel-2 time series and image segmentation
- Thomsen, Simon. (2019). Exploring differences in land management practises in the Ecuadorian Amazon using dense time series and GIS
- Goddard, Adam. (2019). Simulating maize yields in Brandenburg with the Scalable Crop Yield Mapper
- Kowalski, Katja. (2019). Characterizing Spring Phenology of Broadleaf Forests Across Germany Combining Landsat/Sentinel Time Series and Phenological Models
- Themann, Britta. (2019). Upscaling of Field Measurements for the Validation of the Sentinel-2 Level-2A Product
- Schmitt, Lara. (2019). Mapping Cropped Area and Unsown Area in the Rabi Season of Andhra Pradesh, India
- James, Matthew. (2019). Urban form mapping: Utilising Sentinel-2 data to create urban form. maps for the Tokyo/Manchester region
- Hemmerling, Jan. (2019). Tree species classification in temperate forests using dense multi- spectral time series
- Szigeti, Martin. (2019). Mapping settlement types in Rio de Janeiro at different spatial resolutions with remote sensing data
- Voß, Torben. (2018). Satellite based assessment of mangrove area and carbon stock of the Rufiji Delta (Tanzania)
- Dudek, Robert. (2018). Mapping Greenhouse expansion in Almería, SE Spain
- Schofield, Elen. (2018). Improved monitoring of insect disturbances through integrating Landsat forest change maps and Aerial Overview Surveys for British Columbia
- Oeser, Julian. (2017). Using all available Landsat data for detecting and attributing forest disturbances
- Koch, Jonas. (2017). Do spatial fire patterns change in times of conflict? A spatio-temporal analysis of MODIS fire data from 2000-2015 in the Democratic Republic of Congo
- Hampel, Milenka. (2016). Using simulations from dense Landsat time series for crop yield estimations – a case study in Brandenburg, Germany
- Gutermuth, Lisa. (2015). Satellite Imagery in Agriculture: Commercialisation and Sustainability in Germany
- Funke, Dennis. (2014). Using Landsat data to monitor selective logging in the Brazilian Amazon – the role of dense time series
- Rufin, Philippe. (2014). Remote Sensing of Pasture Degradation Processes in Southern Pará – Woody Encroachment Trajectories from Landsat TM and ETM* + Data (1984-2012)
- Schwieder, Marcel. (2013). Estimating fractional shrub cover in southern Portugal using simulated EnMAP data: A comparison of machine learning regression techniques and data sampling
- Held, Matthias. (2013). Feature selection for hyperspectral data: agglomerative clustering and support vector classification