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Lisa Mandl
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Influence of rheology on landslide-dammed lake impoundment and sediment trapping: Back-analysis of the Hintersee landslide dam
AL Argentin, T Hauthaler, M Liebl, J Robl, S Hergarten, G Prasicek, ...
Geomorphology 414, 108363, 2022
132022
Spaceborne LiDAR for characterizing forest structure across scales in the European Alps
L Mandl, A Stritih, R Seidl, C Ginzler, C Senf
Remote Sensing in Ecology and Conservation 9 (5), 599-614, 2023
72023
Mapping spatial microclimate patterns in mountain forests from LiDAR
M Vandewiele, L Geres, A Lotz, L Mandl, T Richter, S Seibold, R Seidl, ...
Agricultural and Forest Meteorology 341, 109662, 2023
62023
Standardized derivation of forest stands using LiDAR data
L Mandl, A Oravec
A case study for the Berchtesgaden National Park. Project documentation …, 2020
42020
Uncovering Early Traces of Bark Beetle Induced Forest Stress via Semantically Enriched Sentinel-2 Data and Spectral Indices
L Mandl, S Lang
PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science 91 …, 2023
32023
Early Detection of bark beetle induced forest stress using Sentinel-2 data
L Mandl, S Lang
Proceedings of the Dreiländertagung der DGPF, der OVG und der SGPF of the …, 2022
32022
Unmixing-based forest recovery indicators for predicting long-term recovery success
L Mandl, A Viana-Soto, R Seidl, A Stritih, C Senf
Remote Sensing of Environment 308, 114194, 2024
2024
Characterizing Spatial Patterns of the Alpine Treeline Ecotone Across the European Alps
JS Kruse, W Rammer, L Mandl, R Seidl, M Maroschek
EGU24, 2024
2024
Benchmarking remote sensing-based forest recovery indicators for predicting long-term recovery success
L Mandl, A Viana-Soto, A Stritih, R Seidl, C Senf
EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2456,, 2024
2024
Quantification of the damming and sediment trapping capacity of landslides and their dammed lakes: the example of the Hintersee landslide dam
AL Argentin, T Hauthaler, M Liebl, J Robl, S Hergarten, G Prasicek, ...
EGU General Assembly Conference Abstracts, EGU-9848, 2023
2023
Trends and patterns in post-disturbance forest recovery estimated from Landsat and Sentinel-2 data using regression-based spectral unmixing
L Mandl, A Viana-Soto, R Seidl, C Senf
EGU General Assembly Conference Abstracts, EGU-2716, 2023
2023
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