Articles | Volume 12, issue 5
https://doi.org/10.5194/tc-12-1629-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-12-1629-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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
Stefan Härer
Institute of Water Management, Hydrology and Hydraulic Engineering (IWHW), University of Natural Resources and Life Sciences (BOKU), 1190 Vienna, Austria
Matthias Bernhardt
CORRESPONDING AUTHOR
Institute of Water Management, Hydrology and Hydraulic Engineering (IWHW), University of Natural Resources and Life Sciences (BOKU), 1190 Vienna, Austria
Matthias Siebers
Commission for Glaciology, Bavarian Academy of Sciences and Humanities, 80539 Munich, Germany
Karsten Schulz
Institute of Water Management, Hydrology and Hydraulic Engineering (IWHW), University of Natural Resources and Life Sciences (BOKU), 1190 Vienna, Austria
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- A novel approach of mapping snow disaster-prone areas based on areal disaster density optimization: a case study of South Korea S. Kim et al.
- Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography K. Aalstad et al.
- Assessment of snow cover mapping algorithms from Landsat surface reflectance data and application to automated snowline delineation X. Xiao & S. Liang
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- Morphological indexes to describe snow-cover patterns in a high-alpine area L. Ferrarin et al.
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- On the Value of Available MODIS and Landsat8 OLI Image Pairs for MODIS Fractional Snow Cover Mapping Based on an Artificial Neural Network J. Hou et al.
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- High Resolution Sea Ice Concentration Using a Sentinel-1 U-Net Ice-Water Classifier J. Rusin et al.
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- Rapid decline in extratropical Andean snow cover driven by the poleward migration of the Southern Hemisphere westerlies R. Cordero et al.
- Measurement error in remotely sensed fractional snow cover datasets: implications for ecological research R. Jacques-Hamilton et al.
- Non-Binary Snow Index for Multi-Component Surfaces M. Arreola-Esquivel et al.
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- FSC-USNet: Fractional Snow Cover Retrieval on the Tibetan Plateau by Integrating Improved Attention Mechanisms X. Liu et al.
- U-SwinFusionNet: High Resolution Snow Cover Mapping on the Tibetan Plateau Based on FY-4A X. Kan et al.
- A generalized enhanced snow/ice index based on Landsat imagery for accurate snow/ice mapping in mountainous areas G. Deng et al.
- Bofedal wetland and glacial melt contributions to dry season streamflow in a high‐Andean headwater watershed T. Gribbin et al.
- The complementary value of cosmic-ray neutron sensing and snow covered area products for snow hydrological modelling P. Schattan et al.
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- Retrieval of Snow Water Equivalent, Liquid Water Content, and Snow Height of Dry and Wet Snow by Combining GPS Signal Attenuation and Time Delay F. Koch et al.
- Improved Landsat-based snow cover mapping accuracy using a spatiotemporal NDSI and generalized linear mixed model C. Poussin et al.
- Introducing seasonal snow memory into the RUSLE K. Mouris et al.
- Spatio-Temporal Assessment of Areal Fragmentation and Volume of Snow Cover in the Central Himalaya S. Banerjee et al.
- PredSL: prediction of snow cover and lake area change using cellular automata S. Mustafi et al.
- Estimating Regional Snow Line Elevation Using Public Webcam Images C. Portenier et al.
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- Quantifying regional variability of machine-learning-based snow water equivalent estimates across the Western United States D. Liljestrand et al.
- Improving Surface Property Retrievals in Boreal Seasonal Snowpacks Through Multiscale Modeling of Subgrid Reflectance S. Singh & A. Barros
- Robust assessment of snow persistence dynamics in Iran (2002–2024) using MODIS satellite imagery and multi-source evaluation N. Karimi & A. Sarbazvatan
- Synergistic Potential of Optical and Radar Remote Sensing for Snow Cover Monitoring J. Hidalgo-Hidalgo et al.
- A stochastic cellular automaton model to describe the evolution of the snow-covered area across a high-elevation mountain catchment K. Painter et al.
- Technical note: Introduction of a superconducting gravimeter as novel hydrological sensor for the Alpine research catchment Zugspitze C. Voigt et al.
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- Machine learning-based estimation of fractional snow cover in the Hindukush Mountains using MODIS and Landsat data A. Haseeb Azizi et al.
- On the Automated Mapping of Snow Cover on Glaciers and Calculation of Snow Line Altitudes from Multi-Temporal Landsat Data P. Rastner et al.
- Snow Cover Evolution in the Gran Paradiso National Park, Italian Alps, Using the Earth Observation Data Cube C. Poussin et al.
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- Valley-floor snowfall in Taylor Valley, Antarctica, from 1995 to 2017: spring, summer and autumn M. Myers et al.
- Der Wert Alpiner Forschungseinzugsgebiete im Bereich der Fernerkundung, der Schneedeckenmodellierung und der lokalen Klimamodellierung M. Bernhardt et al.
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Saved (final revised paper)
Latest update: 06 May 2026
Short summary
The paper presents an approach which can be used to process satellite-based snow cover maps with a higher-than-today accuracy at the local scale. Many of the current satellite-based snow maps are using the NDSI with a threshold as a tool for deciding if there is snow on the ground or not. The presented study has shown that, firstly, using the standard threshold of 0.4 can result in significant derivations at the local scale and that, secondly, the deviations become smaller for coarser scales.
The paper presents an approach which can be used to process satellite-based snow cover maps with...