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Department of Geography Spatial Genetics

4D Remote Sensing of Forests


Our research group is focused on developing and applying remote sensing technologies to monitor and analyse forest ecosystems. This includes the use of LiDAR (Light Detection and Ranging) and other remote sensing tools to gather data on forest structure, biomass, and health. We develop innovative, physically-based methods for extracting detailed information from multi-scale remote sensing data, contributing to our understanding of forest dynamics, biodiversity, and carbon cycling. Additionally, we use radiative transfer models to deepen our knowledge of the fundamentals of remote sensing within the challenging 4D environment of forests.


ZORA Publication List

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Weiterführende Informationen

TLS Scanning in the Masoala Hall

SRF Einstein Feature

The airborne and terrestrial work of the LiDARLab was featured in the Swiss media,

including three short reports on SRF "einstein", the Swiss TV science show:


Television (SRF Einstein):

Report on TLS activities: Masoalahalle

Report on ALS activities: Lägerenwald 

Report on ALS/IS fusion & biodiversity:  Biodiversity



Article 20minuten, 08.05.2015



SRF Wissensmagazin