Direkt zum InhaltDirekt zur SucheDirekt zur Navigation
▼ Zielgruppen ▼

Faculty of Mathematics and Natural Sciences - Earth Observation Lab


Current projects

pixelline with different colors blue, gray, yellow tones


conifer forestBrandSat

With the more frequent occurrence of heat waves and droughts, the need for research into prevention and monitoring of forest fires is increasing. The aim of the project is the development of remote sensing methods and products for the spatially explicit representation of forest fire risk and the monitoring of forest fires in Germany. For this purpose, remote sensing based information will be collected and statistically evaluated together with meteorological data. More...

Mapping Agricultural Systems of the Mediterranean

The spatial complexity and strong intra- and inter-annual dynamics of agricultural land in the Mediterranean pose challenges for remote sensing based mapping. This project applies state-of-the-art time series analysis for characterizing managed lands in the wider Mediterranean region, with a focus on large-area mapping of annual croplands, tree plantations, and rangelands based on Landsat and Sentinel-2. More...

picture South America - clouds reflecting in water/on ice with cars driving in the backgroundTerritorial differences across ecoregions in South America

This project explores whether environmental or institutional conditions are more important in shaping the trade-offs between agricultural development and socio-ecological systems. Understanding how socio-environmental or institutional factors shape geographies of trade-offs is therefore important to identify ways how they can be managed– and thus how regions can develop sustainably. More...

landscape with sky, foreground meadow with hey balesGreenGrass

Pastures support a large variety of ecosystem services, yet they only account for a small share of grasslands in Germany. Within GreenGrass, we analyze high-resolution Sentinel-1 and Sentinel-2 time series to enable the use of innovative management technologies such as virtual herding and fencing. Thereby, GreenGrass aims to develop a management system that balances economic requirements, the provision of ecosystem services and consumer needs. More...

Material Stocks accumulation in progressMAT_STOCKS

MAT_STOCKS focuses on quantifying anthropogenic material stocks (e.g. how much concrete is allocated in the landscape) from Earth observation imagery (Sentinel-1/2) and from globally available databases (e.g. OpenStreetMap). We target several national-scale, wall-to-wall cases, ranging from small (e.g. Austria and UK) to large countries (e.g. USA and India). More...

Landsat satellite flying above EarthLandsat Science Team

Within the five year period of the newly formed Landsat Science Team (2018-2023) our research focus is on "Synergies between future Landsat and European satellite missions, from land cover to land use".

For the period 2018-2023, the Landsat Science Team provides technical and scientific input to USGS and NASA on issues critical to the success of the Landsat program. This Landsat Science Team has the goal to ensure that Landsat 9 data, and relevant data from future Landsat missions are completely integrated with past Landsat data for the purpose of meeting the needs of current users and enabling new applications.

EnMap project satellite image - agriculture and forest EnMAP Spaceborne Spectroscopy Mission

The forthcoming Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission. The Earth Observation Lab contributes to the scientific preparation of the EnMAP mission through our participation in the EnMAP Science Advisory Group (EnSAG), the EnMAP Core Science Team (ECST), and the EnMAP-Box project. More...