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Susanne Karel
Observed name:
Karel, Susanne
Institution:
Austrian Research Centre for Forests
Observed institution:
Austrian Research Centre for Forests
ORCID:
0000-0002-8105-1533
Observed ORCID:
0000-0002-8105-1533
OpenAlex ID:
A5097686246
Evaluating Tree Species Mapping: Probability Sampling Validation of Pure and Mixed Species Classes Using Convolutional Neural Networks and Sentinel-2 Time Series
2024
·
Tobias Schadauer
, Susanne Karel
, et al.
·
Remote Sensing
·
14
Impact of forest disturbance derived from Sentinel-2 time series on Landsat 8/9 land surface temperature: The case of Norway spruce in Central Germany
2025
·
Simon Grieger
, Martin Kappas
, et al.
·
ISPRS Journal of Photogrammetry and Remote Sensing
·
12
Exploring Transfer Learning for Sentinel-2 Tree Species Classification Under Multiple Domain Shifts
2026
·
Tobias Schadauer
, Susanne Karel
, et al.
Landsat 9 and SkyBee-1 for Assessing Effects of Forest Disturbance and Management on LST and Microclimate: A Comparison
2026
·
Simon Grieger
, Susanne Karel
, et al.
·
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Large-Scale Sentinel-2 Tree Species Mapping: Independent Probability Sample Validation and Mixed-Species Classifications
2025
·
Schadauer, Tobias
, Karel, Susanne
, et al.
Exploring Transferability of Sentinel-2-Based Tree Species Models with Mixed Classes: From Austria to Baden-Württemberg
2025
·
Schadauer, Tobias
, Karel, Susanne
, et al.
The Role of Soil in Forest Drought Response: Remote Sensing-Based Monitoring of Disturbance Hotspots in Central Europe
2024
·
Birgitta Putzenlechner
, Philipp Koal
, et al.
·
EGU General Assembly Conference Abstracts
Wildfire Hot Spot Mapping - Austria Fire Futures
2023
·
Florian Kraxner
, Andrey Krasovskiy
, et al.
·
EGU General Assembly Conference Abstracts
Towards a holistic remote sensing based risk assessment of Norway spruce dominated forests in Austria
2023
·
Hallas, Till
, Netherer, Sigrid
, et al.
·
Qucosa (Saxon State and University Library Dresden)
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Works count:
12
Citation count:
29
H-index:
3
I10-index:
2
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