Research at the EO lab

What we do, What we love

We effectively utilize remote sensing approaches to better understand global change related to land systems, adhering to FAIR principles and adopting an open data philosophy.

Projects

Remote sensing for the spatially explicit representation of forest fire risk and the monitoring of forest fires in Germany.

CliWac

Climate and Water under Change quantifies spatial and temporal feedbacks between water availability and ecosystem properties.

Drylands Namibia

Satellite Derived Vegetation Dynamics in Namibia’s Dryland Ecosystems

EnFireMap

Developing remote sensing approaches for the analysis of ecosystems wherein fires are an integral part of the natural dynamics, however, experience a sharp increase in risks and intensities.

EnMAP-Box

The EnMAP-Box is a QGIS plugin to visualize & process imaging spectroscopy data.

Fonda

Within the framework of FOuNdations of workflows for large-scale scientific Data Analysis (research_regions) we join efforts with computer scientists to improve portability, adaptability and dependability of our remote-sensing specific big data workflows for analysing the effects of extreme weather events on forest and agricultural land in Europe.

GreenGrass

Innovative use of grassland on a landscape scale.

Study Regions

We map land cover, land use and related spatio temporal patterns from landscapes to continental scales to delevop and apply remote sensing methods to better understand global change related to land systems. Research trips to our study regions are essential for understanding the land systems on site and serve to validate the analysis of remote sensing data and outcoming results. We invite you to explore our study regions within different land systems.

The map is still work in progress: