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Stefan Härer

Researcher at University of Natural Resources and Life Sciences, Vienna

Publications -  8
Citations -  146

Stefan Härer is an academic researcher from University of Natural Resources and Life Sciences, Vienna. The author has contributed to research in topics: Snow & Precipitation. The author has an hindex of 5, co-authored 7 publications receiving 116 citations. Previous affiliations of Stefan Härer include Ludwig Maximilian University of Munich.

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On the need for a time- and location-dependent estimation of the NDSI threshold value for reducing existing uncertainties in snow cover maps at different scales

TL;DR: In this paper, the authors use local snow cover maps derived from ground-based photography to continuously calibrate the normalized-difference snow-index (NDSI) values of Landsat satellite images at two European mountain sites of the period from 2010 to 2015.
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PRACTISE – Photo Rectification And ClassificaTIon SoftwarE (V.1.0)

TL;DR: The results obtained show that PRACTISE is a fast and user-friendly tool, able to derive the microscale variability of snow cover extent in high alpine terrain, but can also easily be adapted to other land surface applications.
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Description of current and future snow processes in a small basin in the Bavarian Alps

TL;DR: In this article, the authors used the Cold Regions Hydrological Modelling platform (CRHM) to compile a model for simulating the snow cover development within the research catchment Zugspitze (RCZ; 11.4 km2/Germany).
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PRACTISE – Photo Rectification And ClassificaTIon SoftwarE (V.2.1)

TL;DR: The results show that using terrestrial photography in combination with satellite imagery can lead to an objective, reproducible, and user-independent derivation of the NDSI threshold and the resulting snow cover map.
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Der Wert Alpiner Forschungseinzugsgebiete im Bereich der Fernerkundung, der Schneedeckenmodellierung und der lokalen Klimamodellierung

TL;DR: In this article, the authors present a fall-case study, wertvoll sind in alpiner Forschungseinzugsgebiete im Kontext optimierter Modellsetups, verbesserter Modellergebnisse und abgeleiteter Fernerkundungsprodukte aufgezeigt werden.