Articles | Volume 8, issue 1
https://doi.org/10.5194/tc-8-215-2014
© Author(s) 2014. 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-8-215-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Feb 2014
Research article |
| 06 Feb 2014
Mapping the bathymetry of supraglacial lakes and streams on the Greenland ice sheet using field measurements and high-resolution satellite images
C. J. Legleiter
Department of Geography, University of Wyoming, Dept. 3371, 1000 E. University Ave., Laramie, WY 82071, USA
M. Tedesco
Department of Earth and Atmospheric Sciences, The City College of New York, Marshak MR-106, 160 Convent Avenue, New York, NY 10031, USA
L. C. Smith
Department of Geography, University of California Los Angeles, Box 951524, Los Angeles, CA 90095-1524, USA
A. E. Behar
Jet Propulsion Laboratory, 4800 Oak Grove Drive, Pasadena, CA 91109-8099, USA
B. T. Overstreet
Department of Geography, University of Wyoming, Dept. 3371, 1000 E. University Ave., Laramie, WY 82071, USA
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Cited
56 citations as recorded by crossref.
- Evolution of supraglacial lakes on Sermeq Avannarleq glacier, Greenland using Google Earth Engine D. Zhu et al. https://doi.org/10.1016/j.ejrh.2022.101246
- Fully Automated Detection of Supraglacial Lake Area for Northeast Greenland Using Sentinel-2 Time-Series P. Hochreuther et al. https://doi.org/10.3390/rs13020205
- Estimating supraglacial lake depth in Greenland: A comparison study of empirical formula, radiative transfer and depression topography methods M. Man et al. https://doi.org/10.1017/jog.2025.23
- Mapping the Bathymetry of Melt Ponds on Arctic Sea Ice Using Hyperspectral Imagery M. König et al. https://doi.org/10.3390/rs12162623
- Characterizing supraglacial meltwater channel hydraulics on the Greenland Ice Sheet from in situ observations C. Gleason et al. https://doi.org/10.1002/esp.3977
- Monitoring the Characteristics of the Bohai Sea Ice Using High-Resolution Geostationary Ocean Color Imager (GOCI) Data Y. Yan et al. https://doi.org/10.3390/su11030777
- Efficient meltwater drainage through supraglacial streams and rivers on the southwest Greenland ice sheet L. Smith et al. https://doi.org/10.1073/pnas.1413024112
- Quantifying spatiotemporal variability of glacier algal blooms and the impact on surface albedo in southwestern Greenland S. Wang et al. https://doi.org/10.5194/tc-14-2687-2020
- Imaging spectroscopy to assess the composition of ice surface materials and their impact on glacier mass balance K. Naegeli et al. https://doi.org/10.1016/j.rse.2015.07.006
- Comparison of Pond Depth and Ice Thickness Retrieval Algorithms for Summer Arctic Sea Ice H. Zhang et al. https://doi.org/10.3390/rs14122831
- Greenland supraglacial lakes albedo-depth parameterization from multi-source remote sensing: An application of lake-albedo feedback modeling J. Wu et al. https://doi.org/10.1016/j.jhydrol.2025.134001
- Supraglacial lake bathymetry automatically derived from ICESat-2 constraining lake depth estimates from multi-source satellite imagery R. Datta & B. Wouters https://doi.org/10.5194/tc-15-5115-2021
- A Fully Automated Supraglacial lake area and volume Tracking (“FAST”) algorithm: Development and application using MODIS imagery of West Greenland A. Williamson et al. https://doi.org/10.1016/j.rse.2017.04.032
- Supraglacial Streams and Rivers L. Pitcher & L. Smith https://doi.org/10.1146/annurev-earth-053018-060212
- Satellite Remote Sensing of the Greenland Ice Sheet Ablation Zone: A Review M. Cooper & L. Smith https://doi.org/10.3390/rs11202405
- Perennial Supraglacial Lakes in Northeast Greenland Observed by Polarimetric SAR L. Schröder et al. https://doi.org/10.3390/rs12172798
- The Geometry of Large Tundra Lakes Observed in Historical Maps and Satellite Images I. Sudakov et al. https://doi.org/10.3390/rs9101072
- Modelling inland Arctic bathymetry from space using cloud-based machine learning and Sentinel-2 M. Merchant https://doi.org/10.1016/j.asr.2023.07.064
- Dual-satellite (Sentinel-2 and Landsat 8) remote sensing of supraglacial lakes in Greenland A. Williamson et al. https://doi.org/10.5194/tc-12-3045-2018
- Multi-modal albedo distributions in the ablation area of the southwestern Greenland Ice Sheet S. Moustafa et al. https://doi.org/10.5194/tc-9-905-2015
- Assessing supraglacial lake depth using ICESat-2, Sentinel-2, TanDEM-X, and in situ sonar measurements over Northeast and Southwest Greenland K. Lutz et al. https://doi.org/10.5194/tc-18-5431-2024
- Accuracy Evaluation of Four Greenland Digital Elevation Models (DEMs) and Assessment of River Network Extraction Z. Xing et al. https://doi.org/10.3390/rs12203429
- Adaptive bathymetry estimation for shallow coastal waters using Planet Dove satellites J. Li et al. https://doi.org/10.1016/j.rse.2019.111302
- A Physics-Assisted Convolutional Neural Network for Bathymetric Mapping Using ICESat-2 and Sentinel-2 Data K. Peng et al. https://doi.org/10.1109/TGRS.2022.3213248
- Retrieval of snow layer and melt pond properties on Arctic sea ice from airborne imaging spectrometer observations S. Rosenburg et al. https://doi.org/10.5194/amt-16-3915-2023
- Mixed siliciclastic-carbonate-evaporite sedimentation in an arid eolian landscape: The Khor Al Adaid tide-dominated coastal embayment, Qatar J. Rivers et al. https://doi.org/10.1016/j.sedgeo.2020.105730
- Supraglacial Lake Bathymetry Retrieval from ICESat-2 Altimetry Data and Sentinel-2 Imagery Using Deep Learning Algorithms Y. Wu et al. https://doi.org/10.3390/rs18162726
- Bathymetry retrieval from CubeSat image sequences with short time lags M. Niroumand-Jadidi et al. https://doi.org/10.1016/j.jag.2022.102958
- Remote sensing for lake research and monitoring – Recent advances K. Dörnhöfer & N. Oppelt https://doi.org/10.1016/j.ecolind.2015.12.009
- Temporal evolution of the Petermann Ice Shelf estuary constrained by satellite remote sensing observations M. Savignano et al. https://doi.org/10.5194/tc-20-5247-2026
- Antarctic Supraglacial Lake Detection Using Landsat 8 and Sentinel-2 Imagery: Towards Continental Generation of Lake Volumes M. Moussavi et al. https://doi.org/10.3390/rs12010134
- An automated algorithm to retrieve the location and depth of supraglacial lakes from ICESat-2 ATL03 data W. Xiao et al. https://doi.org/10.1016/j.rse.2023.113730
- Hourly surface meltwater routing for a Greenlandic supraglacial catchment across hillslopes and through a dense topological channel network C. Gleason et al. https://doi.org/10.5194/tc-15-2315-2021
- Evaluating the potential for efficient, UAS-based reach-scale mapping of river channel bathymetry from multispectral images C. Legleiter & L. Harrison https://doi.org/10.3389/frsen.2024.1305991
- Reproducibly estimating and evaluating supraglacial lake depth with Landsat 8 and other multispectral sensors A. Pope https://doi.org/10.1002/2015EA000125
- Antarctic ice shelf potentially stabilized by export of meltwater in surface river R. Bell et al. https://doi.org/10.1038/nature22048
- Remote sensing for shallow bathymetry: A systematic review J. He et al. https://doi.org/10.1016/j.earscirev.2024.104957
- A linear model to derive melt pond depth on Arctic sea ice from hyperspectral data M. König & N. Oppelt https://doi.org/10.5194/tc-14-2567-2020
- Diverse supraglacial drainage patterns on the Devon ice Cap, Arctic Canada Y. Lu et al. https://doi.org/10.1080/17445647.2020.1838353
- Joint mapping of melt pond bathymetry and water volume on sea ice using optical remote sensing images and physical reflectance models C. Xiong & X. Li https://doi.org/10.1016/j.rse.2024.114571
- Quantifying permeability in bidisperse granular media through sequential homogenisation I. Madden et al. https://doi.org/10.1017/jfm.2026.11939
- Fluvial morphometry of supraglacial river networks on the southwest Greenland Ice Sheet K. Yang et al. https://doi.org/10.1080/15481603.2016.1162345
- The optical river bathymetry toolkit C. Legleiter https://doi.org/10.1002/rra.3773
- A framework for automated supraglacial lake detection and depth retrieval in ICESat-2 photon data across the Greenland and Antarctic ice sheets P. Arndt & H. Fricker https://doi.org/10.5194/tc-18-5173-2024
- Derivation and validation of supraglacial lake volumes on the Greenland Ice Sheet from high-resolution satellite imagery M. Moussavi et al. https://doi.org/10.1016/j.rse.2016.05.024
- Seasonal evolution of supraglacial lakes and rivers on the southwest Greenland Ice Sheet K. Yang et al. https://doi.org/10.1017/jog.2021.10
- High-resolution imaging of supraglacial hydrological features on the Greenland Ice Sheet with NASA's Airborne Topographic Mapper (ATM) instrument suite M. Studinger et al. https://doi.org/10.5194/tc-16-3649-2022
- Estimating supraglacial lake depth in West Greenland using Landsat 8 and comparison with other multispectral methods A. Pope et al. https://doi.org/10.5194/tc-10-15-2016
- Long-term observations of supraglacial streams on an Arctic glacier S. St Germain & B. Moorman https://doi.org/10.1017/jog.2019.60
- A decade of winter supraglacial lake drainage across Northeast Greenland using C-band SAR C. Dean et al. https://doi.org/10.5194/tc-20-1559-2026
- Flood Forecasting GIS Water-Flow Visualization Enhancement (WaVE): A Case Study T. Petty et al. https://doi.org/10.4236/jgis.2016.86055
- Volumetric evolution of supraglacial lakes in southwestern Greenland using ICESat-2 and Sentinel-2 T. Feng et al. https://doi.org/10.5194/tc-19-2635-2025
- Simulation of runoff process based on the 3-D river network Y. Xue et al. https://doi.org/10.1016/j.jhydrol.2023.130192
- Monitoring of Supraglacial Lake Distribution and Full-Year Changes Using Multisource Time-Series Satellite Imagery D. Zhu et al. https://doi.org/10.3390/rs15245726
- A Geographically and Physics-Informed Convolutional Neural Network for Satellite-Derived Bathymetry Using ICESat-2 and Sentinel-2 Datasets W. Zhu et al. https://doi.org/10.1109/JSTARS.2026.3726799
- Estimation of annual runoff using supraglacial channel geometry derived from UAV surveys of Qiyi Glacier, northern Tibetan Plateau L. Xie et al. https://doi.org/10.5194/tc-19-6577-2025
56 citations as recorded by crossref.
- Evolution of supraglacial lakes on Sermeq Avannarleq glacier, Greenland using Google Earth Engine D. Zhu et al. https://doi.org/10.1016/j.ejrh.2022.101246
- Fully Automated Detection of Supraglacial Lake Area for Northeast Greenland Using Sentinel-2 Time-Series P. Hochreuther et al. https://doi.org/10.3390/rs13020205
- Estimating supraglacial lake depth in Greenland: A comparison study of empirical formula, radiative transfer and depression topography methods M. Man et al. https://doi.org/10.1017/jog.2025.23
- Mapping the Bathymetry of Melt Ponds on Arctic Sea Ice Using Hyperspectral Imagery M. König et al. https://doi.org/10.3390/rs12162623
- Characterizing supraglacial meltwater channel hydraulics on the Greenland Ice Sheet from in situ observations C. Gleason et al. https://doi.org/10.1002/esp.3977
- Monitoring the Characteristics of the Bohai Sea Ice Using High-Resolution Geostationary Ocean Color Imager (GOCI) Data Y. Yan et al. https://doi.org/10.3390/su11030777
- Efficient meltwater drainage through supraglacial streams and rivers on the southwest Greenland ice sheet L. Smith et al. https://doi.org/10.1073/pnas.1413024112
- Quantifying spatiotemporal variability of glacier algal blooms and the impact on surface albedo in southwestern Greenland S. Wang et al. https://doi.org/10.5194/tc-14-2687-2020
- Imaging spectroscopy to assess the composition of ice surface materials and their impact on glacier mass balance K. Naegeli et al. https://doi.org/10.1016/j.rse.2015.07.006
- Comparison of Pond Depth and Ice Thickness Retrieval Algorithms for Summer Arctic Sea Ice H. Zhang et al. https://doi.org/10.3390/rs14122831
- Greenland supraglacial lakes albedo-depth parameterization from multi-source remote sensing: An application of lake-albedo feedback modeling J. Wu et al. https://doi.org/10.1016/j.jhydrol.2025.134001
- Supraglacial lake bathymetry automatically derived from ICESat-2 constraining lake depth estimates from multi-source satellite imagery R. Datta & B. Wouters https://doi.org/10.5194/tc-15-5115-2021
- A Fully Automated Supraglacial lake area and volume Tracking (“FAST”) algorithm: Development and application using MODIS imagery of West Greenland A. Williamson et al. https://doi.org/10.1016/j.rse.2017.04.032
- Supraglacial Streams and Rivers L. Pitcher & L. Smith https://doi.org/10.1146/annurev-earth-053018-060212
- Satellite Remote Sensing of the Greenland Ice Sheet Ablation Zone: A Review M. Cooper & L. Smith https://doi.org/10.3390/rs11202405
- Perennial Supraglacial Lakes in Northeast Greenland Observed by Polarimetric SAR L. Schröder et al. https://doi.org/10.3390/rs12172798
- The Geometry of Large Tundra Lakes Observed in Historical Maps and Satellite Images I. Sudakov et al. https://doi.org/10.3390/rs9101072
- Modelling inland Arctic bathymetry from space using cloud-based machine learning and Sentinel-2 M. Merchant https://doi.org/10.1016/j.asr.2023.07.064
- Dual-satellite (Sentinel-2 and Landsat 8) remote sensing of supraglacial lakes in Greenland A. Williamson et al. https://doi.org/10.5194/tc-12-3045-2018
- Multi-modal albedo distributions in the ablation area of the southwestern Greenland Ice Sheet S. Moustafa et al. https://doi.org/10.5194/tc-9-905-2015
- Assessing supraglacial lake depth using ICESat-2, Sentinel-2, TanDEM-X, and in situ sonar measurements over Northeast and Southwest Greenland K. Lutz et al. https://doi.org/10.5194/tc-18-5431-2024
- Accuracy Evaluation of Four Greenland Digital Elevation Models (DEMs) and Assessment of River Network Extraction Z. Xing et al. https://doi.org/10.3390/rs12203429
- Adaptive bathymetry estimation for shallow coastal waters using Planet Dove satellites J. Li et al. https://doi.org/10.1016/j.rse.2019.111302
- A Physics-Assisted Convolutional Neural Network for Bathymetric Mapping Using ICESat-2 and Sentinel-2 Data K. Peng et al. https://doi.org/10.1109/TGRS.2022.3213248
- Retrieval of snow layer and melt pond properties on Arctic sea ice from airborne imaging spectrometer observations S. Rosenburg et al. https://doi.org/10.5194/amt-16-3915-2023
- Mixed siliciclastic-carbonate-evaporite sedimentation in an arid eolian landscape: The Khor Al Adaid tide-dominated coastal embayment, Qatar J. Rivers et al. https://doi.org/10.1016/j.sedgeo.2020.105730
- Supraglacial Lake Bathymetry Retrieval from ICESat-2 Altimetry Data and Sentinel-2 Imagery Using Deep Learning Algorithms Y. Wu et al. https://doi.org/10.3390/rs18162726
- Bathymetry retrieval from CubeSat image sequences with short time lags M. Niroumand-Jadidi et al. https://doi.org/10.1016/j.jag.2022.102958
- Remote sensing for lake research and monitoring – Recent advances K. Dörnhöfer & N. Oppelt https://doi.org/10.1016/j.ecolind.2015.12.009
- Temporal evolution of the Petermann Ice Shelf estuary constrained by satellite remote sensing observations M. Savignano et al. https://doi.org/10.5194/tc-20-5247-2026
- Antarctic Supraglacial Lake Detection Using Landsat 8 and Sentinel-2 Imagery: Towards Continental Generation of Lake Volumes M. Moussavi et al. https://doi.org/10.3390/rs12010134
- An automated algorithm to retrieve the location and depth of supraglacial lakes from ICESat-2 ATL03 data W. Xiao et al. https://doi.org/10.1016/j.rse.2023.113730
- Hourly surface meltwater routing for a Greenlandic supraglacial catchment across hillslopes and through a dense topological channel network C. Gleason et al. https://doi.org/10.5194/tc-15-2315-2021
- Evaluating the potential for efficient, UAS-based reach-scale mapping of river channel bathymetry from multispectral images C. Legleiter & L. Harrison https://doi.org/10.3389/frsen.2024.1305991
- Reproducibly estimating and evaluating supraglacial lake depth with Landsat 8 and other multispectral sensors A. Pope https://doi.org/10.1002/2015EA000125
- Antarctic ice shelf potentially stabilized by export of meltwater in surface river R. Bell et al. https://doi.org/10.1038/nature22048
- Remote sensing for shallow bathymetry: A systematic review J. He et al. https://doi.org/10.1016/j.earscirev.2024.104957
- A linear model to derive melt pond depth on Arctic sea ice from hyperspectral data M. König & N. Oppelt https://doi.org/10.5194/tc-14-2567-2020
- Diverse supraglacial drainage patterns on the Devon ice Cap, Arctic Canada Y. Lu et al. https://doi.org/10.1080/17445647.2020.1838353
- Joint mapping of melt pond bathymetry and water volume on sea ice using optical remote sensing images and physical reflectance models C. Xiong & X. Li https://doi.org/10.1016/j.rse.2024.114571
- Quantifying permeability in bidisperse granular media through sequential homogenisation I. Madden et al. https://doi.org/10.1017/jfm.2026.11939
- Fluvial morphometry of supraglacial river networks on the southwest Greenland Ice Sheet K. Yang et al. https://doi.org/10.1080/15481603.2016.1162345
- The optical river bathymetry toolkit C. Legleiter https://doi.org/10.1002/rra.3773
- A framework for automated supraglacial lake detection and depth retrieval in ICESat-2 photon data across the Greenland and Antarctic ice sheets P. Arndt & H. Fricker https://doi.org/10.5194/tc-18-5173-2024
- Derivation and validation of supraglacial lake volumes on the Greenland Ice Sheet from high-resolution satellite imagery M. Moussavi et al. https://doi.org/10.1016/j.rse.2016.05.024
- Seasonal evolution of supraglacial lakes and rivers on the southwest Greenland Ice Sheet K. Yang et al. https://doi.org/10.1017/jog.2021.10
- High-resolution imaging of supraglacial hydrological features on the Greenland Ice Sheet with NASA's Airborne Topographic Mapper (ATM) instrument suite M. Studinger et al. https://doi.org/10.5194/tc-16-3649-2022
- Estimating supraglacial lake depth in West Greenland using Landsat 8 and comparison with other multispectral methods A. Pope et al. https://doi.org/10.5194/tc-10-15-2016
- Long-term observations of supraglacial streams on an Arctic glacier S. St Germain & B. Moorman https://doi.org/10.1017/jog.2019.60
- A decade of winter supraglacial lake drainage across Northeast Greenland using C-band SAR C. Dean et al. https://doi.org/10.5194/tc-20-1559-2026
- Flood Forecasting GIS Water-Flow Visualization Enhancement (WaVE): A Case Study T. Petty et al. https://doi.org/10.4236/jgis.2016.86055
- Volumetric evolution of supraglacial lakes in southwestern Greenland using ICESat-2 and Sentinel-2 T. Feng et al. https://doi.org/10.5194/tc-19-2635-2025
- Simulation of runoff process based on the 3-D river network Y. Xue et al. https://doi.org/10.1016/j.jhydrol.2023.130192
- Monitoring of Supraglacial Lake Distribution and Full-Year Changes Using Multisource Time-Series Satellite Imagery D. Zhu et al. https://doi.org/10.3390/rs15245726
- A Geographically and Physics-Informed Convolutional Neural Network for Satellite-Derived Bathymetry Using ICESat-2 and Sentinel-2 Datasets W. Zhu et al. https://doi.org/10.1109/JSTARS.2026.3726799
- Estimation of annual runoff using supraglacial channel geometry derived from UAV surveys of Qiyi Glacier, northern Tibetan Plateau L. Xie et al. https://doi.org/10.5194/tc-19-6577-2025
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