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Department of Geography Remote Sensing Spectroscopy

TIRLab - Thermal Infrared Remote Sensing

The TIRLab of the Department of Geography at the University of Zurich is engaged in research and teaching in the field of thermal infrared (TIR) remote sensing. Our research is tailored to different spheres and scales, and is based on a diverse approach of experimental, field, and modelling studies using a wide range of tools and datasets. Our teaching ranges from the physical fundamentals to applications of pressing environmental and societal issues arising from global atmospheric change. In addition to lectures, we promote understanding of TIR data through hands-on exercises and student projects, and are open to theses that exploit the potential of TIR remote sensing across scales and spheres.

Graphic by Kaat Robberechts

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News

  • TIRLab at ESA's Living Planet Symposium

    During a week of record-breaking temperatures across Europe, the TIRLab team presented in multiple sessions at ESA’s Living Planet Symposium (LPS) in Vienna on 23-27th June, on the importance and applications of Land Surface Temperature (LST) monitoring! We presented posters and gave talks on the work we do using LST and emissivity products from different data sources (from field and lab measurements, to UAV, airborne and satellite-based observations) and across multiple ecosystems (hydrosphere, cryosphere, forests and urban environments)

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  • New paper published!

    Jennifer Susan Adams and Kathrin Naegeli's paper on "Across-scale thermal infrared anisotropy in forests: Insights from a multi-angular laboratory-based approach" was just published in Remote Sensing of Environment. The study investigated thermal infrared angular effects in forests using a novel method of contructing mini-canopies in the footprint of a laboratory goniometer. The publication is available at this link

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  • New paper published!

    Nils Rietze's second PhD paper "Pre-Fire Vegetation Conditions and Topography Shape Burn Mosaics of Siberian Tundra Fire Scars" was recently published in JGR Biogeosciences. Using a combination of very high-resolution (PlanetScope) and medium resolution (Landsat) imagery, the study revealed heterogeneous burn patterns and how pre-fire vegetation conditions influenced the heterogeneity of the burning. You can find the study here: link

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