Articles | Volume 9, issue 1
https://doi.org/10.5194/gmd-9-307-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-307-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
26 Jan 2016
Model description paper |
| 26 Jan 2016
PRACTISE – Photo Rectification And ClassificaTIon SoftwarE (V.2.1)
Institute of Water Management, Hydrology and Hydraulic
Engineering (IWHW), University of Natural Resources and Life
Sciences (BOKU), Vienna, Austria
M. Bernhardt
Institute of Water Management, Hydrology and Hydraulic
Engineering (IWHW), University of Natural Resources and Life
Sciences (BOKU), Vienna, Austria
K. Schulz
Institute of Water Management, Hydrology and Hydraulic
Engineering (IWHW), University of Natural Resources and Life
Sciences (BOKU), Vienna, Austria
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Cited
19 citations as recorded by crossref.
- Automated Classification of Terrestrial Images: The Contribution to the Remote Sensing of Snow Cover R. Salzano et al. https://doi.org/10.3390/geosciences9020097
- Mapping snow cover frequency at 30 m for studying seasonal variations and topographic controls on the Tibetan Plateau G. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.133303
- A seasonal algorithm of the snow-covered area fraction for mountainous terrain N. Helbig et al. https://doi.org/10.5194/tc-15-4607-2021
- Snow cover mapped daily at 30 meters resolution using a fusion of multi-temporal MODIS NDSI data and Landsat surface reflectance Z. Mityók et al. https://doi.org/10.1080/07038992.2018.1538775
- Snow cover evolution at Qasigiannguit Glacier, southwest Greenland: A comparison of time-lapse imagery and mass balance data A. Messerli et al. https://doi.org/10.3389/feart.2022.970026
- Estimating Regional Snow Line Elevation Using Public Webcam Images C. Portenier et al. https://doi.org/10.3390/rs14194730
- Semi-Automatic Fractional Snow Cover Monitoring from Near-Surface Remote Sensing in Grassland A. Caparó Bellido & B. Rundquist https://doi.org/10.3390/rs13112045
- Does meter-scale snow data matter for modeling alpine plant distribution? A comparison of four data sources at two resolutions A. Kollert et al. https://doi.org/10.1016/j.ecolmodel.2025.111366
- Hydrological modelling in the anthroposphere: predicting local runoff in a heavily modified high-alpine catchment J. Wesemann et al. https://doi.org/10.1007/s11629-017-4587-5
- Der Wert Alpiner Forschungseinzugsgebiete im Bereich der Fernerkundung, der Schneedeckenmodellierung und der lokalen Klimamodellierung M. Bernhardt et al. https://doi.org/10.1007/s00506-018-0510-8
- Towards a webcam-based snow cover monitoring network: methodology and evaluation C. Portenier et al. https://doi.org/10.5194/tc-14-1409-2020
- The evaluation of the potential of global data products for snow hydrological modelling in ungauged high-alpine catchments M. Weber et al. https://doi.org/10.5194/hess-25-2869-2021
- 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 S. Härer et al. https://doi.org/10.5194/tc-12-1629-2018
- Spatio-Temporal Assessment of Areal Fragmentation and Volume of Snow Cover in the Central Himalaya S. Banerjee et al. https://doi.org/10.1007/s41748-024-00469-y
- On the Ability of LIDAR Snow Depth Measurements to Determine or Evaluate the HRU Discretization in a Land Surface Model M. Weber et al. https://doi.org/10.3390/hydrology7020020
- Technical note: Introduction of a superconducting gravimeter as novel hydrological sensor for the Alpine research catchment Zugspitze C. Voigt et al. https://doi.org/10.5194/hess-25-5047-2021
- Sentinel-1 time series for mapping snow cover depletion and timing of snowmelt in Arctic periglacial environments: case study from Zackenberg and Kobbefjord, Greenland S. Buchelt et al. https://doi.org/10.5194/tc-16-625-2022
- PyTrx: A Python-Based Monoscopic Terrestrial Photogrammetry Toolset for Glaciology P. How et al. https://doi.org/10.3389/feart.2020.00021
- 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. https://doi.org/10.1007/s11069-025-07761-8
19 citations as recorded by crossref.
- Automated Classification of Terrestrial Images: The Contribution to the Remote Sensing of Snow Cover R. Salzano et al. https://doi.org/10.3390/geosciences9020097
- Mapping snow cover frequency at 30 m for studying seasonal variations and topographic controls on the Tibetan Plateau G. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.133303
- A seasonal algorithm of the snow-covered area fraction for mountainous terrain N. Helbig et al. https://doi.org/10.5194/tc-15-4607-2021
- Snow cover mapped daily at 30 meters resolution using a fusion of multi-temporal MODIS NDSI data and Landsat surface reflectance Z. Mityók et al. https://doi.org/10.1080/07038992.2018.1538775
- Snow cover evolution at Qasigiannguit Glacier, southwest Greenland: A comparison of time-lapse imagery and mass balance data A. Messerli et al. https://doi.org/10.3389/feart.2022.970026
- Estimating Regional Snow Line Elevation Using Public Webcam Images C. Portenier et al. https://doi.org/10.3390/rs14194730
- Semi-Automatic Fractional Snow Cover Monitoring from Near-Surface Remote Sensing in Grassland A. Caparó Bellido & B. Rundquist https://doi.org/10.3390/rs13112045
- Does meter-scale snow data matter for modeling alpine plant distribution? A comparison of four data sources at two resolutions A. Kollert et al. https://doi.org/10.1016/j.ecolmodel.2025.111366
- Hydrological modelling in the anthroposphere: predicting local runoff in a heavily modified high-alpine catchment J. Wesemann et al. https://doi.org/10.1007/s11629-017-4587-5
- Der Wert Alpiner Forschungseinzugsgebiete im Bereich der Fernerkundung, der Schneedeckenmodellierung und der lokalen Klimamodellierung M. Bernhardt et al. https://doi.org/10.1007/s00506-018-0510-8
- Towards a webcam-based snow cover monitoring network: methodology and evaluation C. Portenier et al. https://doi.org/10.5194/tc-14-1409-2020
- The evaluation of the potential of global data products for snow hydrological modelling in ungauged high-alpine catchments M. Weber et al. https://doi.org/10.5194/hess-25-2869-2021
- 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 S. Härer et al. https://doi.org/10.5194/tc-12-1629-2018
- Spatio-Temporal Assessment of Areal Fragmentation and Volume of Snow Cover in the Central Himalaya S. Banerjee et al. https://doi.org/10.1007/s41748-024-00469-y
- On the Ability of LIDAR Snow Depth Measurements to Determine or Evaluate the HRU Discretization in a Land Surface Model M. Weber et al. https://doi.org/10.3390/hydrology7020020
- Technical note: Introduction of a superconducting gravimeter as novel hydrological sensor for the Alpine research catchment Zugspitze C. Voigt et al. https://doi.org/10.5194/hess-25-5047-2021
- Sentinel-1 time series for mapping snow cover depletion and timing of snowmelt in Arctic periglacial environments: case study from Zackenberg and Kobbefjord, Greenland S. Buchelt et al. https://doi.org/10.5194/tc-16-625-2022
- PyTrx: A Python-Based Monoscopic Terrestrial Photogrammetry Toolset for Glaciology P. How et al. https://doi.org/10.3389/feart.2020.00021
- 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. https://doi.org/10.1007/s11069-025-07761-8
Saved (final revised paper)
Latest update: 28 May 2026
Short summary
This paper describes a new method to produce spatially and temporally calibrated NDSI-based satellite snow cover maps utilizing simultaneously captured terrestrial photographs as in situ information. First results confirm a high quality of the produced satellite snow cover maps and emphasize the need for calibration of the NDSI threshold value to ensure a high accuracy and reproduciblity. The software "PRACTISE V.2.1" was developed to automatically process the photographs and satellite images.
This paper describes a new method to produce spatially and temporally calibrated NDSI-based...
