Articles | Volume 10, issue 2
https://doi.org/10.5194/tc-10-569-2016
© 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/tc-10-569-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Mar 2016
Research article |
| 11 Mar 2016
Monitoring ice break-up on the Mackenzie River using MODIS data
P. Muhammad
CORRESPONDING AUTHOR
Department of Geography and the Interdisciplinary Centre on Climate Change (IC3), University of Waterloo, Waterloo, ON, Canada
Department of Geography and the Interdisciplinary Centre on Climate Change (IC3), University of Waterloo, Waterloo, ON, Canada
K.-K. Kang
Department of Geography and the Interdisciplinary Centre on Climate Change (IC3), University of Waterloo, Waterloo, ON, Canada
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Cited
16 citations as recorded by crossref.
- A Comparison of MODIS/VIIRS Cloud Masks over Ice-Bearing River: On Achieving Consistent Cloud Masking and Improved River Ice Mapping S. Kraatz et al. 10.3390/rs9030229
- Identifying river ice on the Tibetan Plateau based on the relative difference in spectral bands H. Li et al. 10.1016/j.jhydrol.2021.126613
- Using MODIS estimates of fractional snow cover area to improve streamflow forecasts in interior Alaska K. Bennett et al. 10.5194/hess-23-2439-2019
- A Maritime Cloud-Detection Method Using Visible and Near-Infrared Bands over the Yellow Sea and Bohai Sea Y. Choi et al. 10.3390/rs14030793
- Monitoring the Ice Thickness in High-Order Rivers on the Tibetan Plateau with Dual-Polarized C-Band Synthetic Aperture Radar H. Zhang et al. 10.3390/rs14112591
- Using Remote Sensing Data to Parameterize Ice Jam Modeling for a Northern Inland Delta F. Zhang et al. 10.3390/w9050306
- River ice phenology and thickness from satellite altimetry: potential for ice bridge road operation and climate studies E. Zakharova et al. 10.5194/tc-15-5387-2021
- Spatial-temporal variation of river ice coverage in the Yenisei river from 2002 to 2021 Y. Zhang et al. 10.1016/j.jhydrol.2024.131440
- Quantification of surface water volume changes in the Mackenzie Delta using satellite multi-mission data C. Normandin et al. 10.5194/hess-22-1543-2018
- River ice monitoring and change detection with multi-spectral and SAR images: application over yellow river X. Zhang et al. 10.1007/s11042-021-11054-0
- Review of River Ice Observation and Data Analysis Technologies I. Zakharov et al. 10.3390/hydrology11080126
- A physically-based modelling framework for operational forecasting of river ice breakup P. Rokaya et al. 10.1016/j.advwatres.2020.103554
- Revealing the river ice phenology on the Tibetan Plateau using Sentinel-2 and Landsat 8 overlapping orbit imagery H. Li et al. 10.1016/j.jhydrol.2023.129285
- Effects of River Geomorphology on River Ice Freeze-up and Break-up Rates Using MODIS Imagery T. Chu & K. Lindenschmidt 10.1080/07038992.2019.1635004
- Monitoring high-altitude river ice distribution at the basin scale in the northeastern Tibetan Plateau from a Landsat time-series spanning 1999–2018 H. Li et al. 10.1016/j.rse.2020.111915
- Identifying historic river ice breakup timing using MODIS and Google Earth Engine in support of operational flood monitoring in Northern Ontario A. Beaton et al. 10.1016/j.rse.2019.02.011
16 citations as recorded by crossref.
- A Comparison of MODIS/VIIRS Cloud Masks over Ice-Bearing River: On Achieving Consistent Cloud Masking and Improved River Ice Mapping S. Kraatz et al. 10.3390/rs9030229
- Identifying river ice on the Tibetan Plateau based on the relative difference in spectral bands H. Li et al. 10.1016/j.jhydrol.2021.126613
- Using MODIS estimates of fractional snow cover area to improve streamflow forecasts in interior Alaska K. Bennett et al. 10.5194/hess-23-2439-2019
- A Maritime Cloud-Detection Method Using Visible and Near-Infrared Bands over the Yellow Sea and Bohai Sea Y. Choi et al. 10.3390/rs14030793
- Monitoring the Ice Thickness in High-Order Rivers on the Tibetan Plateau with Dual-Polarized C-Band Synthetic Aperture Radar H. Zhang et al. 10.3390/rs14112591
- Using Remote Sensing Data to Parameterize Ice Jam Modeling for a Northern Inland Delta F. Zhang et al. 10.3390/w9050306
- River ice phenology and thickness from satellite altimetry: potential for ice bridge road operation and climate studies E. Zakharova et al. 10.5194/tc-15-5387-2021
- Spatial-temporal variation of river ice coverage in the Yenisei river from 2002 to 2021 Y. Zhang et al. 10.1016/j.jhydrol.2024.131440
- Quantification of surface water volume changes in the Mackenzie Delta using satellite multi-mission data C. Normandin et al. 10.5194/hess-22-1543-2018
- River ice monitoring and change detection with multi-spectral and SAR images: application over yellow river X. Zhang et al. 10.1007/s11042-021-11054-0
- Review of River Ice Observation and Data Analysis Technologies I. Zakharov et al. 10.3390/hydrology11080126
- A physically-based modelling framework for operational forecasting of river ice breakup P. Rokaya et al. 10.1016/j.advwatres.2020.103554
- Revealing the river ice phenology on the Tibetan Plateau using Sentinel-2 and Landsat 8 overlapping orbit imagery H. Li et al. 10.1016/j.jhydrol.2023.129285
- Effects of River Geomorphology on River Ice Freeze-up and Break-up Rates Using MODIS Imagery T. Chu & K. Lindenschmidt 10.1080/07038992.2019.1635004
- Monitoring high-altitude river ice distribution at the basin scale in the northeastern Tibetan Plateau from a Landsat time-series spanning 1999–2018 H. Li et al. 10.1016/j.rse.2020.111915
- Identifying historic river ice breakup timing using MODIS and Google Earth Engine in support of operational flood monitoring in Northern Ontario A. Beaton et al. 10.1016/j.rse.2019.02.011
Saved (preprint)
Latest update: 18 Nov 2024
Short summary
This study involves the analysis of MODIS Level 3500 m snow products, complemented with 250 m Level 1B data, to monitor ice cover during the break-up period on the Mackenzie River, Canada. Results from the analysis of data for 13 ice seasons (2001–2013) show that ice-off begins between days of year (DOYs) 115 and 125 and ends between DOYs 145 and 155, resulting in average melt durations of about 30–40 days; we conclude that MODIS can monitor ice break-up.
This study involves the analysis of MODIS Level 3500 m snow products, complemented with 250 m...
