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
Viewed
Total article views: 4,218 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Sep 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,670 | 1,285 | 263 | 4,218 | 99 | 113 |
- HTML: 2,670
- PDF: 1,285
- XML: 263
- Total: 4,218
- BibTeX: 99
- EndNote: 113
Total article views: 3,427 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 May 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,234 | 944 | 249 | 3,427 | 95 | 97 |
- HTML: 2,234
- PDF: 944
- XML: 249
- Total: 3,427
- BibTeX: 95
- EndNote: 97
Total article views: 791 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Sep 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
436 | 341 | 14 | 791 | 4 | 16 |
- HTML: 436
- PDF: 341
- XML: 14
- Total: 791
- BibTeX: 4
- EndNote: 16
Viewed (geographical distribution)
Total article views: 4,218 (including HTML, PDF, and XML)
Thereof 3,933 with geography defined
and 285 with unknown origin.
Total article views: 3,427 (including HTML, PDF, and XML)
Thereof 3,165 with geography defined
and 262 with unknown origin.
Total article views: 791 (including HTML, PDF, and XML)
Thereof 768 with geography defined
and 23 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
56 citations as recorded by crossref.
- Anisotropy Parameterization Development and Evaluation for Glacier Surface Albedo Retrieval from Satellite Observations S. Ren et al. 10.3390/rs13091714
- Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography K. Aalstad et al. 10.1016/j.rse.2019.111618
- Assessment of snow cover mapping algorithms from Landsat surface reflectance data and application to automated snowline delineation X. Xiao & S. Liang 10.1016/j.rse.2024.114163
- Performance of climate reanalyses in the determination of pan-Arctic terrestrial rain-on-snow events J. Tao et al. 10.1016/j.accre.2023.08.002
- Morphological indexes to describe snow-cover patterns in a high-alpine area L. Ferrarin et al. 10.1017/aog.2023.62
- Binary and Fractional MODIS Snow Cover Mapping Boosted by Machine Learning and Big Landsat Data W. Luan et al. 10.1109/TGRS.2022.3198508
- 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. 10.1109/TGRS.2019.2963075
- Effect of shadow on atmospheric and topographic processed NDSI values in Chenab basin, western Himalayas A. Jasrotia et al. 10.1016/j.coldregions.2022.103561
- Landsat, MODIS, and VIIRS snow cover mapping algorithm performance as validated by airborne lidar datasets T. Stillinger et al. 10.5194/tc-17-567-2023
- Rapid decline in extratropical Andean snow cover driven by the poleward migration of the Southern Hemisphere westerlies R. Cordero et al. 10.1038/s41598-024-78014-0
- Non-Binary Snow Index for Multi-Component Surfaces M. Arreola-Esquivel et al. 10.3390/rs13142777
- Effective Improvement of the Accuracy of Snow Cover Discrimination Using a Random Forests Algorithm Considering Multiple Factors: A Case Study of the Three-Rivers Headwater Region, Tibet Plateau R. He et al. 10.3390/rs15194644
- FSC-USNet: Fractional Snow Cover Retrieval on the Tibetan Plateau by Integrating Improved Attention Mechanisms X. Liu et al. 10.1109/JSTARS.2024.3360087
- Bofedal wetland and glacial melt contributions to dry season streamflow in a high‐Andean headwater watershed T. Gribbin et al. 10.1002/hyp.15237
- The complementary value of cosmic-ray neutron sensing and snow covered area products for snow hydrological modelling P. Schattan et al. 10.1016/j.rse.2019.111603
- A new snow cover mapping algorithm for Chinese geostationary meteorological satellite FY-4A AGRI data L. He et al. 10.1080/17538947.2024.2367086
- Essential Variables for Environmental Monitoring: What Are the Possible Contributions of Earth Observation Data Cubes? G. Giuliani et al. 10.3390/data5040100
- Mapping snow cover in forests using optical remote sensing, machine learning and time-lapse photography J. Luo et al. 10.1016/j.rse.2022.113017
- Identifying areas of archaeological potential in the Swiss Alps using satellite-derived time-series of snow cover estimates C. Cornut et al. 10.1016/j.rsase.2022.100838
- The evaluation of the potential of global data products for snow hydrological modelling in ungauged high-alpine catchments M. Weber et al. 10.5194/hess-25-2869-2021
- Optimal foraging by a large ungulate in an extreme environment: Wild mountain reindeer select snow‐free feeding habitats in winter L. Romtveit et al. 10.1002/ece3.7843
- Evaluación del retroceso glaciar de la Sierra Nevada del Cocuy, Colombia a partir de la clasificación de imágenes multisensor S. Molano et al. 10.18273/revbol.v44n1-2022002
- Waning snowfields have transformed into hotspots of greening within the alpine zone P. Choler et al. 10.1038/s41558-024-02177-x
- High‐Resolution Snowline Delineation From Landsat Imagery to Infer Snow Cover Controls in a Himalayan Catchment M. Girona‐Mata et al. 10.1029/2019WR024935
- Towards Forecasting Future Snow Cover Dynamics in the European Alps—The Potential of Long Optical Remote-Sensing Time Series J. Koehler et al. 10.3390/rs14184461
- An improvement of snow/cloud discrimination from machine learning using geostationary satellite data D. Jin et al. 10.1080/17538947.2022.2152886
- Enhanced scaling effects significantly lower the ability of MODIS normalized difference snow index to estimate fractional and binary snow cover on the Tibetan Plateau H. Zhang et al. 10.1016/j.jhydrol.2020.125795
- Climate-related drivers of nutrient inputs and food web structure in shallow Arctic lake ecosystems E. Calizza et al. 10.1038/s41598-022-06136-4
- Mapping snow density through thermal inertia observations R. Colombo et al. 10.1016/j.rse.2022.113323
- Snow Cover and Snow Persistence Changes in the Mocho-Choshuenco Volcano (Southern Chile) Derived From 35 Years of Landsat Satellite Images R. Chávez et al. 10.3389/fevo.2021.643850
- On the Seasonality of the Snow Optical Behaviour at Ny Ålesund (Svalbard Islands, Norway) R. Salzano et al. 10.3390/geosciences11030112
- Interactions between thresholds and spatial discretizations of snow: insights from estimates of wolverine denning habitat in the Colorado Rocky Mountains J. Pflug et al. 10.5194/hess-27-2747-2023
- Mapping snow cover from daily Collection 6 MODIS products over Austria R. Tong et al. 10.1016/j.jhydrol.2020.125548
- The frost wave hypothesis: How the environment drives autumn departure of migratory waterfowl F. Xu & Y. Si 10.1016/j.ecolind.2019.02.024
- 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. 10.1029/2018WR024431
- Improved Landsat-based snow cover mapping accuracy using a spatiotemporal NDSI and generalized linear mixed model C. Poussin et al. 10.1016/j.srs.2023.100078
- Introducing seasonal snow memory into the RUSLE K. Mouris et al. 10.1007/s11368-022-03192-1
- Spatio-Temporal Assessment of Areal Fragmentation and Volume of Snow Cover in the Central Himalaya S. Banerjee et al. 10.1007/s41748-024-00469-y
- Estimating Regional Snow Line Elevation Using Public Webcam Images C. Portenier et al. 10.3390/rs14194730
- Impact of Climate Change on Spatio-Temporal Distribution of Glaciers in Western Karakoram Region since 1990: A Case Study of Central Karakoram National Park M. Moazzam et al. 10.3390/w14192968
- Quantifying regional variability of machine-learning-based snow water equivalent estimates across the Western United States D. Liljestrand et al. 10.1016/j.envsoft.2024.106053
- Synergistic Potential of Optical and Radar Remote Sensing for Snow Cover Monitoring J. Hidalgo-Hidalgo et al. 10.3390/rs16193705
- A stochastic cellular automaton model to describe the evolution of the snow-covered area across a high-elevation mountain catchment K. Painter et al. 10.1016/j.scitotenv.2022.159195
- Technical note: Introduction of a superconducting gravimeter as novel hydrological sensor for the Alpine research catchment Zugspitze C. Voigt et al. 10.5194/hess-25-5047-2021
- Machine learning-based estimation of fractional snow cover in the Hindukush Mountains using MODIS and Landsat data A. Haseeb Azizi et al. 10.1016/j.jhydrol.2024.131579
- On the Automated Mapping of Snow Cover on Glaciers and Calculation of Snow Line Altitudes from Multi-Temporal Landsat Data P. Rastner et al. 10.3390/rs11121410
- Snow Cover Evolution in the Gran Paradiso National Park, Italian Alps, Using the Earth Observation Data Cube C. Poussin et al. 10.3390/data4040138
- Development and parameter estimation of snowmelt models using spatial snow-cover observations from MODIS D. Gyawali & A. Bárdossy 10.5194/hess-26-3055-2022
- Recent Patterns and Trends of Snow Cover (2000–2023) in the Cantabrian Mountains (Spain) from Satellite Imagery Using Google Earth Engine A. Melón-Nava 10.3390/rs16193592
- Global Assessment of Supraglacial Debris‐Cover Extents D. Scherler et al. 10.1029/2018GL080158
- Efficient multi-objective calibration and uncertainty analysis of distributed snow simulations in rugged alpine terrain J. Thornton et al. 10.1016/j.jhydrol.2021.126241
- Valley-floor snowfall in Taylor Valley, Antarctica, from 1995 to 2017: spring, summer and autumn M. Myers et al. 10.1017/S0954102022000256
- Der Wert Alpiner Forschungseinzugsgebiete im Bereich der Fernerkundung, der Schneedeckenmodellierung und der lokalen Klimamodellierung M. Bernhardt et al. 10.1007/s00506-018-0510-8
- An Automated Snow Mapper Powered by Machine Learning H. Wang et al. 10.3390/rs13234826
- Automated Classification of Terrestrial Images: The Contribution to the Remote Sensing of Snow Cover R. Salzano et al. 10.3390/geosciences9020097
- A Revised Snow Cover Algorithm to Improve Discrimination between Snow and Clouds: A Case Study in Gran Paradiso National Park C. Richiardi et al. 10.3390/rs13101957
55 citations as recorded by crossref.
- Anisotropy Parameterization Development and Evaluation for Glacier Surface Albedo Retrieval from Satellite Observations S. Ren et al. 10.3390/rs13091714
- Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography K. Aalstad et al. 10.1016/j.rse.2019.111618
- Assessment of snow cover mapping algorithms from Landsat surface reflectance data and application to automated snowline delineation X. Xiao & S. Liang 10.1016/j.rse.2024.114163
- Performance of climate reanalyses in the determination of pan-Arctic terrestrial rain-on-snow events J. Tao et al. 10.1016/j.accre.2023.08.002
- Morphological indexes to describe snow-cover patterns in a high-alpine area L. Ferrarin et al. 10.1017/aog.2023.62
- Binary and Fractional MODIS Snow Cover Mapping Boosted by Machine Learning and Big Landsat Data W. Luan et al. 10.1109/TGRS.2022.3198508
- 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. 10.1109/TGRS.2019.2963075
- Effect of shadow on atmospheric and topographic processed NDSI values in Chenab basin, western Himalayas A. Jasrotia et al. 10.1016/j.coldregions.2022.103561
- Landsat, MODIS, and VIIRS snow cover mapping algorithm performance as validated by airborne lidar datasets T. Stillinger et al. 10.5194/tc-17-567-2023
- Rapid decline in extratropical Andean snow cover driven by the poleward migration of the Southern Hemisphere westerlies R. Cordero et al. 10.1038/s41598-024-78014-0
- Non-Binary Snow Index for Multi-Component Surfaces M. Arreola-Esquivel et al. 10.3390/rs13142777
- Effective Improvement of the Accuracy of Snow Cover Discrimination Using a Random Forests Algorithm Considering Multiple Factors: A Case Study of the Three-Rivers Headwater Region, Tibet Plateau R. He et al. 10.3390/rs15194644
- FSC-USNet: Fractional Snow Cover Retrieval on the Tibetan Plateau by Integrating Improved Attention Mechanisms X. Liu et al. 10.1109/JSTARS.2024.3360087
- Bofedal wetland and glacial melt contributions to dry season streamflow in a high‐Andean headwater watershed T. Gribbin et al. 10.1002/hyp.15237
- The complementary value of cosmic-ray neutron sensing and snow covered area products for snow hydrological modelling P. Schattan et al. 10.1016/j.rse.2019.111603
- A new snow cover mapping algorithm for Chinese geostationary meteorological satellite FY-4A AGRI data L. He et al. 10.1080/17538947.2024.2367086
- Essential Variables for Environmental Monitoring: What Are the Possible Contributions of Earth Observation Data Cubes? G. Giuliani et al. 10.3390/data5040100
- Mapping snow cover in forests using optical remote sensing, machine learning and time-lapse photography J. Luo et al. 10.1016/j.rse.2022.113017
- Identifying areas of archaeological potential in the Swiss Alps using satellite-derived time-series of snow cover estimates C. Cornut et al. 10.1016/j.rsase.2022.100838
- The evaluation of the potential of global data products for snow hydrological modelling in ungauged high-alpine catchments M. Weber et al. 10.5194/hess-25-2869-2021
- Optimal foraging by a large ungulate in an extreme environment: Wild mountain reindeer select snow‐free feeding habitats in winter L. Romtveit et al. 10.1002/ece3.7843
- Evaluación del retroceso glaciar de la Sierra Nevada del Cocuy, Colombia a partir de la clasificación de imágenes multisensor S. Molano et al. 10.18273/revbol.v44n1-2022002
- Waning snowfields have transformed into hotspots of greening within the alpine zone P. Choler et al. 10.1038/s41558-024-02177-x
- High‐Resolution Snowline Delineation From Landsat Imagery to Infer Snow Cover Controls in a Himalayan Catchment M. Girona‐Mata et al. 10.1029/2019WR024935
- Towards Forecasting Future Snow Cover Dynamics in the European Alps—The Potential of Long Optical Remote-Sensing Time Series J. Koehler et al. 10.3390/rs14184461
- An improvement of snow/cloud discrimination from machine learning using geostationary satellite data D. Jin et al. 10.1080/17538947.2022.2152886
- Enhanced scaling effects significantly lower the ability of MODIS normalized difference snow index to estimate fractional and binary snow cover on the Tibetan Plateau H. Zhang et al. 10.1016/j.jhydrol.2020.125795
- Climate-related drivers of nutrient inputs and food web structure in shallow Arctic lake ecosystems E. Calizza et al. 10.1038/s41598-022-06136-4
- Mapping snow density through thermal inertia observations R. Colombo et al. 10.1016/j.rse.2022.113323
- Snow Cover and Snow Persistence Changes in the Mocho-Choshuenco Volcano (Southern Chile) Derived From 35 Years of Landsat Satellite Images R. Chávez et al. 10.3389/fevo.2021.643850
- On the Seasonality of the Snow Optical Behaviour at Ny Ålesund (Svalbard Islands, Norway) R. Salzano et al. 10.3390/geosciences11030112
- Interactions between thresholds and spatial discretizations of snow: insights from estimates of wolverine denning habitat in the Colorado Rocky Mountains J. Pflug et al. 10.5194/hess-27-2747-2023
- Mapping snow cover from daily Collection 6 MODIS products over Austria R. Tong et al. 10.1016/j.jhydrol.2020.125548
- The frost wave hypothesis: How the environment drives autumn departure of migratory waterfowl F. Xu & Y. Si 10.1016/j.ecolind.2019.02.024
- 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. 10.1029/2018WR024431
- Improved Landsat-based snow cover mapping accuracy using a spatiotemporal NDSI and generalized linear mixed model C. Poussin et al. 10.1016/j.srs.2023.100078
- Introducing seasonal snow memory into the RUSLE K. Mouris et al. 10.1007/s11368-022-03192-1
- Spatio-Temporal Assessment of Areal Fragmentation and Volume of Snow Cover in the Central Himalaya S. Banerjee et al. 10.1007/s41748-024-00469-y
- Estimating Regional Snow Line Elevation Using Public Webcam Images C. Portenier et al. 10.3390/rs14194730
- Impact of Climate Change on Spatio-Temporal Distribution of Glaciers in Western Karakoram Region since 1990: A Case Study of Central Karakoram National Park M. Moazzam et al. 10.3390/w14192968
- Quantifying regional variability of machine-learning-based snow water equivalent estimates across the Western United States D. Liljestrand et al. 10.1016/j.envsoft.2024.106053
- Synergistic Potential of Optical and Radar Remote Sensing for Snow Cover Monitoring J. Hidalgo-Hidalgo et al. 10.3390/rs16193705
- A stochastic cellular automaton model to describe the evolution of the snow-covered area across a high-elevation mountain catchment K. Painter et al. 10.1016/j.scitotenv.2022.159195
- Technical note: Introduction of a superconducting gravimeter as novel hydrological sensor for the Alpine research catchment Zugspitze C. Voigt et al. 10.5194/hess-25-5047-2021
- Machine learning-based estimation of fractional snow cover in the Hindukush Mountains using MODIS and Landsat data A. Haseeb Azizi et al. 10.1016/j.jhydrol.2024.131579
- On the Automated Mapping of Snow Cover on Glaciers and Calculation of Snow Line Altitudes from Multi-Temporal Landsat Data P. Rastner et al. 10.3390/rs11121410
- Snow Cover Evolution in the Gran Paradiso National Park, Italian Alps, Using the Earth Observation Data Cube C. Poussin et al. 10.3390/data4040138
- Development and parameter estimation of snowmelt models using spatial snow-cover observations from MODIS D. Gyawali & A. Bárdossy 10.5194/hess-26-3055-2022
- Recent Patterns and Trends of Snow Cover (2000–2023) in the Cantabrian Mountains (Spain) from Satellite Imagery Using Google Earth Engine A. Melón-Nava 10.3390/rs16193592
- Global Assessment of Supraglacial Debris‐Cover Extents D. Scherler et al. 10.1029/2018GL080158
- Efficient multi-objective calibration and uncertainty analysis of distributed snow simulations in rugged alpine terrain J. Thornton et al. 10.1016/j.jhydrol.2021.126241
- Valley-floor snowfall in Taylor Valley, Antarctica, from 1995 to 2017: spring, summer and autumn M. Myers et al. 10.1017/S0954102022000256
- Der Wert Alpiner Forschungseinzugsgebiete im Bereich der Fernerkundung, der Schneedeckenmodellierung und der lokalen Klimamodellierung M. Bernhardt et al. 10.1007/s00506-018-0510-8
- An Automated Snow Mapper Powered by Machine Learning H. Wang et al. 10.3390/rs13234826
- Automated Classification of Terrestrial Images: The Contribution to the Remote Sensing of Snow Cover R. Salzano et al. 10.3390/geosciences9020097
Latest update: 22 Nov 2024
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...