Quantifying and modelling peat breathing with satellite radar data

Basic data for this project

Type of project: Internally at the University of Münster funded project
Duration: 01/08/2023 - 31/07/2027


Peatlands are crucial carbon sinks, vital for mitigating climate change. To enhance our understanding of peat breathing and carbon loss, Chang and Meyer propose a novel approach utilizing satellite remote sensing, specifically radar technology. Their study focuses on the Amtsvenn and Hündfelder Moor, an 894-hectare cross-border peatland area. Through the integration of satellite and in-situ observations with machine learning techniques, they aim to develop and validate a model that accurately captures current and future trends in peatland degradation and carbon release.

Keywords: Landscape Ecology; Geoinformation; Earth Observation