Articles | Volume 8, issue 1
https://doi.org/10.5194/tc-8-25-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/tc-8-25-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A wavelet melt detection algorithm applied to enhanced-resolution scatterometer data over Antarctica (2000–2009)
N. Steiner
The City College of New York at the City University of New York, New York, USA
M. Tedesco
The City College of New York at the City University of New York, New York, USA
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Cited
18 citations as recorded by crossref.
- Comparative Study of Hydrology and Icemelt in Three Nepal River Basins Using the Glacio-Hydrological Degree-Day Model (GDM) and Observations From the Advanced Scatterometer (ASCAT) R. Kayastha et al. 10.3389/feart.2019.00354
- Enhanced winter snowmelt in the Antarctic Peninsula: Automatic snowmelt identification from radar scatterometer L. Zheng et al. 10.1016/j.rse.2020.111835
- Spring photosynthetic onset and net CO2 uptake in Alaska triggered by landscape thawing N. Parazoo et al. 10.1111/gcb.14283
- Comparisons of snowmelt detected by microwave sensors on the Shackleton Ice Shelf, East Antarctica L. Zheng & C. Zhou 10.1080/01431161.2019.1666316
- Snow Phenology and Hydrologic Timing in the Yukon River Basin, AK, USA C. Pan et al. 10.3390/rs13122284
- Mapping seasonal glacier melt across the Hindu Kush Himalaya with time series synthetic aperture radar (SAR) C. Scher et al. 10.5194/tc-15-4465-2021
- Amery Ice Shelf surface snowmelt detected by ASCAT and Sentinel-1 C. Zhou et al. 10.1080/2150704X.2018.1553317
- Intercalibration of Brightness Temperatures From FY-3 MWRI for Surface Snowmelt Detection Over Polar Ice Sheets Z. Zhang et al. 10.1109/TGRS.2022.3216218
- Variations in Antarctic Peninsula snow liquid water during 1999–2017 revealed by merging radiometer, scatterometer and model estimations L. Zheng et al. 10.1016/j.rse.2019.111219
- Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges S. Husman et al. 10.1109/JSTARS.2022.3216953
- Assessment of various microwave brightness temperature products and methods for surface melt detection over Greenland ice sheet P. Mishra et al. 10.1016/j.polar.2024.101097
- Antarctic Snowmelt Detected by Diurnal Variations of AMSR-E Brightness Temperature L. Zheng et al. 10.3390/rs10091391
- Antarctic ice-sheet near-surface snowmelt detection based on the synergy of SSM/I data and QuikSCAT data X. Wang et al. 10.1016/j.gsf.2017.09.007
- Comparing Greenland Ice Sheet Melt Variability From Different Satellite Passive Microwave Remote Sensing Products Over a Common 5-year Record J. Kimball et al. 10.3389/feart.2021.654220
- Mapping Radar Glacier Zones and Dry Snow Line in the Antarctic Peninsula Using Sentinel-1 Images C. Zhou & L. Zheng 10.3390/rs9111171
- Antarctic snow melt detection based on the synergy of SSM/I and QuikSCAT X. Li et al. 10.1017/S0954102017000268
- Melting over the northeast Antarctic Peninsula (1999–2009): evaluation of a high-resolution regional climate model R. Datta et al. 10.5194/tc-12-2901-2018
- Surface melting over the Greenland ice sheet derived from enhanced resolution passive microwave brightness temperatures (1979–2019) P. Colosio et al. 10.5194/tc-15-2623-2021
18 citations as recorded by crossref.
- Comparative Study of Hydrology and Icemelt in Three Nepal River Basins Using the Glacio-Hydrological Degree-Day Model (GDM) and Observations From the Advanced Scatterometer (ASCAT) R. Kayastha et al. 10.3389/feart.2019.00354
- Enhanced winter snowmelt in the Antarctic Peninsula: Automatic snowmelt identification from radar scatterometer L. Zheng et al. 10.1016/j.rse.2020.111835
- Spring photosynthetic onset and net CO2 uptake in Alaska triggered by landscape thawing N. Parazoo et al. 10.1111/gcb.14283
- Comparisons of snowmelt detected by microwave sensors on the Shackleton Ice Shelf, East Antarctica L. Zheng & C. Zhou 10.1080/01431161.2019.1666316
- Snow Phenology and Hydrologic Timing in the Yukon River Basin, AK, USA C. Pan et al. 10.3390/rs13122284
- Mapping seasonal glacier melt across the Hindu Kush Himalaya with time series synthetic aperture radar (SAR) C. Scher et al. 10.5194/tc-15-4465-2021
- Amery Ice Shelf surface snowmelt detected by ASCAT and Sentinel-1 C. Zhou et al. 10.1080/2150704X.2018.1553317
- Intercalibration of Brightness Temperatures From FY-3 MWRI for Surface Snowmelt Detection Over Polar Ice Sheets Z. Zhang et al. 10.1109/TGRS.2022.3216218
- Variations in Antarctic Peninsula snow liquid water during 1999–2017 revealed by merging radiometer, scatterometer and model estimations L. Zheng et al. 10.1016/j.rse.2019.111219
- Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges S. Husman et al. 10.1109/JSTARS.2022.3216953
- Assessment of various microwave brightness temperature products and methods for surface melt detection over Greenland ice sheet P. Mishra et al. 10.1016/j.polar.2024.101097
- Antarctic Snowmelt Detected by Diurnal Variations of AMSR-E Brightness Temperature L. Zheng et al. 10.3390/rs10091391
- Antarctic ice-sheet near-surface snowmelt detection based on the synergy of SSM/I data and QuikSCAT data X. Wang et al. 10.1016/j.gsf.2017.09.007
- Comparing Greenland Ice Sheet Melt Variability From Different Satellite Passive Microwave Remote Sensing Products Over a Common 5-year Record J. Kimball et al. 10.3389/feart.2021.654220
- Mapping Radar Glacier Zones and Dry Snow Line in the Antarctic Peninsula Using Sentinel-1 Images C. Zhou & L. Zheng 10.3390/rs9111171
- Antarctic snow melt detection based on the synergy of SSM/I and QuikSCAT X. Li et al. 10.1017/S0954102017000268
- Melting over the northeast Antarctic Peninsula (1999–2009): evaluation of a high-resolution regional climate model R. Datta et al. 10.5194/tc-12-2901-2018
- Surface melting over the Greenland ice sheet derived from enhanced resolution passive microwave brightness temperatures (1979–2019) P. Colosio et al. 10.5194/tc-15-2623-2021
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