Articles | Volume 17, issue 3
https://doi.org/10.5194/tc-17-1165-2023
© Author(s) 2023. 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-17-1165-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
High-resolution debris-cover mapping using UAV-derived thermal imagery: limits and opportunities
Deniz Tobias Gök
CORRESPONDING AUTHOR
GFZ German Research Centre for Geosciences, Telegrafenberg, 14473
Potsdam, Germany
Dirk Scherler
GFZ German Research Centre for Geosciences, Telegrafenberg, 14473
Potsdam, Germany
Institute of Geological Sciences, Freie Universität Berlin, 12249
Berlin, Germany
Leif Stefan Anderson
GFZ German Research Centre for Geosciences, Telegrafenberg, 14473
Potsdam, Germany
Department of Geology and Geophysics, University of Utah, Salt Lake City, UT 84112, United States
Related authors
Deniz Tobias Gök, Dirk Scherler, and Hendrik Wulf
The Cryosphere, 18, 5259–5276, https://doi.org/10.5194/tc-18-5259-2024, https://doi.org/10.5194/tc-18-5259-2024, 2024
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We derived Landsat Collection 2 land surface temperature (LST) trends in the Swiss Alps using a harmonic model with a linear trend. Validation with LST data from 119 high-altitude weather stations yielded robust results, but Landsat LST trends are biased due to unstable acquisition times. The bias varies with topographic slope and aspect. We discuss its origin and propose a simple correction method in relation to modeled changes in shortwave radiation.
Deniz Tobias Gök, Dirk Scherler, and Hendrik Wulf
The Cryosphere, 18, 5259–5276, https://doi.org/10.5194/tc-18-5259-2024, https://doi.org/10.5194/tc-18-5259-2024, 2024
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We derived Landsat Collection 2 land surface temperature (LST) trends in the Swiss Alps using a harmonic model with a linear trend. Validation with LST data from 119 high-altitude weather stations yielded robust results, but Landsat LST trends are biased due to unstable acquisition times. The bias varies with topographic slope and aspect. We discuss its origin and propose a simple correction method in relation to modeled changes in shortwave radiation.
Matthew C. Morriss, Benjamin Lehmann, Benjamin Campforts, George Brencher, Brianna Rick, Leif S. Anderson, Alexander L. Handwerger, Irina Overeem, and Jeffrey Moore
Earth Surf. Dynam., 11, 1251–1274, https://doi.org/10.5194/esurf-11-1251-2023, https://doi.org/10.5194/esurf-11-1251-2023, 2023
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In this paper, we investigate the 28 June 2022 collapse of the Chaos Canyon landslide in Rocky Mountain National Park, Colorado, USA. We find that the landslide was moving prior to its collapse and took place at peak spring snowmelt; temperature modeling indicates the potential presence of permafrost. We hypothesize that this landslide could be part of the broader landscape evolution changes to alpine terrain caused by a warming climate, leading to thawing alpine permafrost.
Katharina Wetterauer and Dirk Scherler
Earth Surf. Dynam., 11, 1013–1033, https://doi.org/10.5194/esurf-11-1013-2023, https://doi.org/10.5194/esurf-11-1013-2023, 2023
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In glacial landscapes, debris supply rates vary spatially and temporally. Rockwall erosion rates derived from cosmogenic 10Be concentrations in medial moraine debris at five Swiss glaciers around Pigne d'Arolla indicate an increase in erosion from the end of the Little Ice Age towards deglaciation but temporally more stable rates over the last ∼100 years. Rockwall erosion rates are higher where rockwalls are steep and north-facing, suggesting a potential slope and temperature control.
Ian Delaney, Leif Anderson, and Frédéric Herman
Earth Surf. Dynam., 11, 663–680, https://doi.org/10.5194/esurf-11-663-2023, https://doi.org/10.5194/esurf-11-663-2023, 2023
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This paper presents a two-dimensional subglacial sediment transport model that evolves a sediment layer in response to subglacial sediment transport conditions. The model captures sediment transport in supply- and transport-limited regimes across a glacier's bed and considers both the creation and transport of sediment. Model outputs show how the spatial distribution of sediment and water below a glacier can impact the glacier's discharge of sediment and erosion of bedrock.
Emma Lodes, Dirk Scherler, Renee van Dongen, and Hella Wittmann
Earth Surf. Dynam., 11, 305–324, https://doi.org/10.5194/esurf-11-305-2023, https://doi.org/10.5194/esurf-11-305-2023, 2023
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We explored the ways that boulders and bedrock affect the shapes of hills and valleys by testing how quickly they erode compared to soil. We found that bedrock and boulders mostly erode more slowly than soil and predict that fracture patterns affect where they exist. We also found that streams generally follow fault orientations. Together, our data imply that fractures influence landscapes by weakening bedrock, causing it to erode faster and to eventually form a valley where a stream may flow.
Ugo Nanni, Dirk Scherler, Francois Ayoub, Romain Millan, Frederic Herman, and Jean-Philippe Avouac
The Cryosphere, 17, 1567–1583, https://doi.org/10.5194/tc-17-1567-2023, https://doi.org/10.5194/tc-17-1567-2023, 2023
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Surface melt is a major factor driving glacier movement. Using satellite images, we have tracked the movements of 38 glaciers in the Pamirs over 7 years, capturing their responses to rapid meteorological changes with unprecedented resolution. We show that in spring, glacier accelerations propagate upglacier, while in autumn, they propagate downglacier – all resulting from changes in meltwater input. This provides critical insights into the interplay between surface melt and glacier movement.
Renee van Dongen, Dirk Scherler, Dadiyorto Wendi, Eric Deal, Luca Mao, Norbert Marwan, and Claudio I. Meier
EGUsphere, https://doi.org/10.5194/egusphere-2022-1234, https://doi.org/10.5194/egusphere-2022-1234, 2022
Preprint archived
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El Niño Southern Oscillation (ENSO) is a climatic phenomenon that causes abnormal climatic conditions in Chile. We investigated how ENSO affects catchment hydrology and found strong seasonal and spatial differences in the hydrological response to ENSO which was caused by different hydrological processes in catchments that are dominated by snowmelt-generated runoff or rainfall-generated runoff. These results are relevant for water resources management and ENSO mitigation in Chile.
Leif S. Anderson, William H. Armstrong, Robert S. Anderson, and Pascal Buri
The Cryosphere, 15, 265–282, https://doi.org/10.5194/tc-15-265-2021, https://doi.org/10.5194/tc-15-265-2021, 2021
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Many glaciers are thinning rapidly beneath debris cover (loose rock) that reduces melt, including Kennicott Glacier in Alaska. This contradiction has been explained by melt hotspots, such as ice cliffs, scattered within the debris cover. However, at Kennicott Glacier declining ice flow explains the rapid thinning. Through this study, Kennicott Glacier is now the first glacier in Alaska, and the largest glacier globally, where melt across its debris-covered tongue has been rigorously quantified.
Dirk Scherler and Wolfgang Schwanghart
Earth Surf. Dynam., 8, 245–259, https://doi.org/10.5194/esurf-8-245-2020, https://doi.org/10.5194/esurf-8-245-2020, 2020
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Drainage divides are believed to provide clues about divide migration and the instability of landscapes. Here, we present a novel approach to extract drainage divides from digital elevation models and to order them in a drainage divide network. We present our approach by studying natural and artificial landscapes generated with a landscape evolution model and disturbed to induce divide migration.
Dirk Scherler and Wolfgang Schwanghart
Earth Surf. Dynam., 8, 261–274, https://doi.org/10.5194/esurf-8-261-2020, https://doi.org/10.5194/esurf-8-261-2020, 2020
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Drainage divides are believed to provide clues about divide migration and the instability of landscapes. Here, we present a novel approach to extract drainage divides from digital elevation models and to order them in a drainage divide network. We present our approach by studying natural and artificial landscapes generated with a landscape evolution model and disturbed to induce divide migration.
Leif S. Anderson, William H. Armstrong, Robert S. Anderson, and Pascal Buri
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-178, https://doi.org/10.5194/tc-2019-178, 2019
Preprint withdrawn
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Thick rock cover (or debris) disturbs the melt of many Alaskan glaciers. Yet the effect of debris on glacier thinning in Alaska has been overlooked. In three companion papers we assess the role of debris and ice flow on the thinning of Kennicott Glacier. In Part C we describe feedbacks contributing to rapid thinning under thick debris. Changes in debris thickness downglacier on Kennicott Glacier are manifested in the pattern of glacier thinning, ice dynamics, melt, and glacier surface features.
Leif S. Anderson, Robert S. Anderson, Pascal Buri, and William H. Armstrong
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-174, https://doi.org/10.5194/tc-2019-174, 2019
Preprint withdrawn
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Thick rock cover (or debris) disturbs the melt of many Alaskan glaciers. Yet the effect of debris on glacier thinning in Alaska has been overlooked. In three companion papers we assess the role of debris and ice flow on the thinning of Kennicott Glacier. In Part A, we report measurements from the glacier surface. We measured surface debris thickness, melt under debris, and the rate of ice cliff backwasting. These data allow for further studies linking debris to glacier shrinkage in Alaska.
Renee van Dongen, Dirk Scherler, Hella Wittmann, and Friedhelm von Blanckenburg
Earth Surf. Dynam., 7, 393–410, https://doi.org/10.5194/esurf-7-393-2019, https://doi.org/10.5194/esurf-7-393-2019, 2019
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The concentration of cosmogenic 10Be is typically measured in the sand fraction of river sediment to estimate catchment-average erosion rates. Using the sand fraction in catchments where the 10Be concentrations differ per grain size could potentially result in biased erosion rates. In this study we investigated the occurrence and causes of grain size-dependent 10Be concentrations and identified the types of catchments which are sensitive to biased catchment-average erosion rates.
Áslaug Geirsdóttir, Gifford H. Miller, John T. Andrews, David J. Harning, Leif S. Anderson, Christopher Florian, Darren J. Larsen, and Thor Thordarson
Clim. Past, 15, 25–40, https://doi.org/10.5194/cp-15-25-2019, https://doi.org/10.5194/cp-15-25-2019, 2019
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Compositing climate proxies in sediment from seven Iceland lakes documents abrupt summer cooling between 4.5 and 4.0 ka, statistically indistinguishable from 4.2 ka. Although the decline in summer insolation was an important factor, a combination of superposed changes in ocean circulation and explosive Icelandic volcanism were likely responsible for the abrupt perturbation recorded by our proxies. Lake and catchment proxies recovered to a colder equilibrium state following the perturbation.
Wolfgang Schwanghart and Dirk Scherler
Earth Surf. Dynam., 5, 821–839, https://doi.org/10.5194/esurf-5-821-2017, https://doi.org/10.5194/esurf-5-821-2017, 2017
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River profiles derived from digital elevation models are affected by errors. Here we present two new algorithms – quantile carving and the CRS algorithm – to hydrologically correct river profiles. Both algorithms preserve the downstream decreasing shape of river profiles, while CRS additionally smooths profiles to avoid artificial steps. Our algorithms are able to cope with the problems of overestimation and asymmetric error distributions.
Joaquín M. C. Belart, Etienne Berthier, Eyjólfur Magnússon, Leif S. Anderson, Finnur Pálsson, Thorsteinn Thorsteinsson, Ian M. Howat, Guðfinna Aðalgeirsdóttir, Tómas Jóhannesson, and Alexander H. Jarosch
The Cryosphere, 11, 1501–1517, https://doi.org/10.5194/tc-11-1501-2017, https://doi.org/10.5194/tc-11-1501-2017, 2017
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Sub-meter satellite stereo images (Pléiades and WorldView2) are used to accurately measure snow accumulation and winter mass balance of Drangajökull ice cap. This is done by creating and comparing accurate digital elevation models. A glacier-wide geodetic mass balance of 3.33 ± 0.23 m w.e. is derived between October 2014 and May 2015. This method could be easily transposable to remote glaciated areas where seasonal mass balance measurements (especially winter accumulation) are lacking.
Leif S. Anderson and Robert S. Anderson
The Cryosphere, 10, 1105–1124, https://doi.org/10.5194/tc-10-1105-2016, https://doi.org/10.5194/tc-10-1105-2016, 2016
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Mountains erode and shed rocks down slope. When these rocks (debris) fall on glacier ice they can suppress ice melt. By protecting glaciers from melt, debris can make glaciers extend to lower elevations. Using mathematical models of glaciers and debris deposition, we find that debris can more than double the length of glaciers. The amount of debris deposited on the glacier, which scales with mountain height and steepness, is the most important control on debris-covered glacier length and volume.
Related subject area
Discipline: Glaciers | Subject: Remote Sensing
Monthly velocity and seasonal variations of the Mont Blanc glaciers derived from Sentinel-2 between 2016 and 2024
Improved records of glacier flow instabilities using customized NASA autoRIFT (CautoRIFT) applied to PlanetScope imagery
Five decades of Abramov glacier dynamics reconstructed with multi-sensor optical remote sensing
Observing glacier elevation changes from spaceborne optical and radar sensors – an inter-comparison experiment using ASTER and TanDEM-X data
Lake ice break-up in Greenland: timing and spatiotemporal variability
The Pléiades Glacier Observatory: high resolution digital elevation models and ortho-imagery to monitor glacier change
A low-cost and open-source approach for supraglacial debris thickness mapping using UAV-based infrared thermography
Refined glacial lake extraction in a high-Asia region by deep neural network and superpixel-based conditional random field methods
Annual to seasonal glacier mass balance in High Mountain Asia derived from Pléiades stereo images: examples from the Pamir and the Tibetan Plateau
Out-of-the-box calving-front detection method using deep learning
GLAcier Feature Tracking testkit (GLAFT): a statistically and physically based framework for evaluating glacier velocity products derived from optical satellite image feature tracking
Cast shadows reveal changes in glacier surface elevation
Characterizing the surge behaviour and associated ice-dammed lake evolution of the Kyagar Glacier in the Karakoram
Constraining regional glacier reconstructions using past ice thickness of deglaciating areas – a case study in the European Alps
Climatic control on seasonal variations in mountain glacier surface velocity
Automated ArcticDEM iceberg detection tool: insights into area and volume distributions, and their potential application to satellite imagery and modelling of glacier–iceberg–ocean systems
Glacier extraction based on high-spatial-resolution remote-sensing images using a deep-learning approach with attention mechanism
TermPicks: a century of Greenland glacier terminus data for use in scientific and machine learning applications
Surge dynamics of Shisper Glacier revealed by time-series correlation of optical satellite images and their utility to substantiate a generalized sliding law
Offset of MODIS land surface temperatures from in situ air temperatures in the upper Kaskawulsh Glacier region (St. Elias Mountains) indicates near-surface temperature inversions
Three different glacier surges at a spot: what satellites observe and what not
Correlation dispersion as a measure to better estimate uncertainty in remotely sensed glacier displacements
Glacier and rock glacier changes since the 1950s in the La Laguna catchment, Chile
Brief communication: Increased glacier mass loss in the Russian High Arctic (2010–2017)
Contrasting surface velocities between lake- and land-terminating glaciers in the Himalayan region
Aerodynamic roughness length of crevassed tidewater glaciers from UAV mapping
Image classification of marine-terminating outlet glaciers in Greenland using deep learning methods
Brief communication: Detection of glacier surge activity using cloud computing of Sentinel-1 radar data
InSAR-based characterization of rock glacier movement in the Uinta Mountains, Utah, USA
Surface composition of debris-covered glaciers across the Himalaya using linear spectral unmixing of Landsat 8 OLI imagery
Mapping seasonal glacier melt across the Hindu Kush Himalaya with time series synthetic aperture radar (SAR)
Estimating surface mass balance patterns from unoccupied aerial vehicle measurements in the ablation area of the Morteratsch–Pers glacier complex (Switzerland)
High-resolution topography of the Antarctic Peninsula combining the TanDEM-X DEM and Reference Elevation Model of Antarctica (REMA) mosaic
Measuring the state and temporal evolution of glaciers in Alaska and Yukon using synthetic-aperture-radar-derived (SAR-derived) 3D time series of glacier surface flow
Tracking changes in the area, thickness, and volume of the Thwaites tabular iceberg “B30” using satellite altimetry and imagery
Analyzing glacier retreat and mass balances using aerial and UAV photogrammetry in the Ötztal Alps, Austria
Surges of Harald Moltke Bræ, north-western Greenland: seasonal modulation and initiation at the terminus
Brief communication: An empirical relation between center frequency and measured thickness for radar sounding of temperate glaciers
Glacier Image Velocimetry: an open-source toolbox for easy and rapid calculation of high-resolution glacier velocity fields
Calving Front Machine (CALFIN): glacial termini dataset and automated deep learning extraction method for Greenland, 1972–2019
Annual and inter-annual variability and trends of albedo of Icelandic glaciers
Observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to Sermeq Kujalleq (Jakobshavn Isbræ), Greenland
Detecting seasonal ice dynamics in satellite images
Sharp contrasts in observed and modeled crevasse patterns at Greenland's marine terminating glaciers
Variability in glacier albedo and links to annual mass balance for the gardens of Eden and Allah, Southern Alps, New Zealand
The seasonal evolution of albedo across glaciers and the surrounding landscape of Taylor Valley, Antarctica
Recent glacier and lake changes in High Mountain Asia and their relation to precipitation changes
Multisensor validation of tidewater glacier flow fields derived from synthetic aperture radar (SAR) intensity tracking
Detecting dynamics of cave floor ice with selective cloud-to-cloud approach
Changes of the tropical glaciers throughout Peru between 2000 and 2016 – mass balance and area fluctuations
Fabrizio Troilo, Niccolò Dematteis, Francesco Zucca, Martin Funk, and Daniele Giordan
The Cryosphere, 18, 3891–3909, https://doi.org/10.5194/tc-18-3891-2024, https://doi.org/10.5194/tc-18-3891-2024, 2024
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The study of glacier sliding along slopes is relevant in many aspects of glaciology. We processed Sentinel-2 satellite optical images of Mont Blanc, obtaining surface velocities of 30 glaciers between 2016 and 2024. The study revealed different behaviours and velocity variations that have relationships with glacier morphology. A velocity anomaly was observed in some glaciers of the southern side in 2020–2022, but its origin needs to be investigated further.
Jukes Liu, Madeline Gendreau, Ellyn Mary Enderlin, and Rainey Aberle
The Cryosphere, 18, 3571–3590, https://doi.org/10.5194/tc-18-3571-2024, https://doi.org/10.5194/tc-18-3571-2024, 2024
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There are sometimes gaps in global glacier velocity records produced using satellite image feature-tracking algorithms during times of rapid glacier acceleration, which hinders the study of glacier flow processes. We present an open-source pipeline for customizing the feature-tracking parameters and for including images from an additional source. We applied it to five glaciers and found that it produced accurate velocity data that supplemented their velocity records during rapid acceleration.
Enrico Mattea, Etienne Berthier, Amaury Dehecq, Tobias Bolch, Atanu Bhattacharya, Sajid Ghuffar, Martina Barandun, and Martin Hoelzle
EGUsphere, https://doi.org/10.5194/egusphere-2024-2169, https://doi.org/10.5194/egusphere-2024-2169, 2024
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We reconstruct the evolution of terminus position, ice thickness and surface flow velocity of the reference Abramov glacier (Kyrgyzstan) from 1968 to present. We describe a front pulsation in the early 2000s and the multi-annual present-day buildup of a new pulsation. Such dynamic instabilities can challenge the representativity of Abramov as reference glacier. For our work we used satellite‑based optical remote sensing from multiple platforms, including recently declassified archives.
Livia Piermattei, Michael Zemp, Christian Sommer, Fanny Brun, Matthias H. Braun, Liss M. Andreassen, Joaquín M. C. Belart, Etienne Berthier, Atanu Bhattacharya, Laura Boehm Vock, Tobias Bolch, Amaury Dehecq, Inés Dussaillant, Daniel Falaschi, Caitlyn Florentine, Dana Floricioiu, Christian Ginzler, Gregoire Guillet, Romain Hugonnet, Matthias Huss, Andreas Kääb, Owen King, Christoph Klug, Friedrich Knuth, Lukas Krieger, Jeff La Frenierre, Robert McNabb, Christopher McNeil, Rainer Prinz, Louis Sass, Thorsten Seehaus, David Shean, Désirée Treichler, Anja Wendt, and Ruitang Yang
The Cryosphere, 18, 3195–3230, https://doi.org/10.5194/tc-18-3195-2024, https://doi.org/10.5194/tc-18-3195-2024, 2024
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Satellites have made it possible to observe glacier elevation changes from all around the world. In the present study, we compared the results produced from two different types of satellite data between different research groups and against validation measurements from aeroplanes. We found a large spread between individual results but showed that the group ensemble can be used to reliably estimate glacier elevation changes and related errors from satellite data.
Christoph Posch, Jakob Abermann, and Tiago Silva
The Cryosphere, 18, 2035–2059, https://doi.org/10.5194/tc-18-2035-2024, https://doi.org/10.5194/tc-18-2035-2024, 2024
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Radar beams from satellites exhibit reflection differences between water and ice. This condition, as well as the comprehensive coverage and high temporal resolution of the Sentinel-1 satellites, allows automatically detecting the timing of when ice cover of lakes in Greenland disappear. We found that lake ice breaks up 3 d later per 100 m elevation gain and that the average break-up timing varies by ±8 d in 2017–2021, which has major implications for the energy budget of the lakes.
Etienne Berthier, Jérôme Lebreton, Delphine Fontannaz, Steven Hosford, Joaquin Munoz Cobo Belart, Fanny Brun, Liss Marie Andreassen, Brian Menounos, and Charlotte Blondel
EGUsphere, https://doi.org/10.5194/egusphere-2024-250, https://doi.org/10.5194/egusphere-2024-250, 2024
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Repeat elevation measurements are crucial for monitoring glacier health and how they affect river flows and sea levels. Until recently, high resolution elevation data were mostly available for polar regions and High Mountain Asia. Our project, the Pléiades Glacier Observatory (PGO), now provides high-resolution topographies of 140 glacier sites worldwide. This is a novel and open dataset to monitor the impact of climate change on glacier at high resolution and accuracy.
Jérôme Messmer and Alexander Raphael Groos
The Cryosphere, 18, 719–746, https://doi.org/10.5194/tc-18-719-2024, https://doi.org/10.5194/tc-18-719-2024, 2024
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The lower part of mountain glaciers is often covered with debris. Knowing the thickness of the debris is important as it influences the melting and future evolution of the affected glaciers. We have developed an open-source approach to map variations in debris thickness on glaciers using a low-cost drone equipped with a thermal infrared camera. The resulting high-resolution maps of debris surface temperature and thickness enable more accurate monitoring and modelling of debris-covered glaciers.
Yungang Cao, Rumeng Pan, Meng Pan, Ruodan Lei, Puying Du, and Xueqin Bai
The Cryosphere, 18, 153–168, https://doi.org/10.5194/tc-18-153-2024, https://doi.org/10.5194/tc-18-153-2024, 2024
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This study built a glacial lake dataset with 15376 samples in seven types and proposed an automatic method by two-stage (the semantic segmentation network and post-processing) optimizations to detect glacial lakes. The proposed method for glacial lake extraction has achieved the best results so far, in which the F1 score and IoU reached 0.945 and 0.907, respectively. The area of the minimum glacial lake that can be entirely and correctly extracted has been raised to the 100 m2 level.
Daniel Falaschi, Atanu Bhattacharya, Gregoire Guillet, Lei Huang, Owen King, Kriti Mukherjee, Philipp Rastner, Tandong Yao, and Tobias Bolch
The Cryosphere, 17, 5435–5458, https://doi.org/10.5194/tc-17-5435-2023, https://doi.org/10.5194/tc-17-5435-2023, 2023
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Because glaciers are crucial freshwater sources in the lowlands surrounding High Mountain Asia, constraining short-term glacier mass changes is essential. We investigate the potential of state-of-the-art satellite elevation data to measure glacier mass changes in two selected regions. The results demonstrate the ability of our dataset to characterize glacier changes of different magnitudes, allowing for an increase in the number of inaccessible glaciers that can be readily monitored.
Oskar Herrmann, Nora Gourmelon, Thorsten Seehaus, Andreas Maier, Johannes J. Fürst, Matthias H. Braun, and Vincent Christlein
The Cryosphere, 17, 4957–4977, https://doi.org/10.5194/tc-17-4957-2023, https://doi.org/10.5194/tc-17-4957-2023, 2023
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Delineating calving fronts of marine-terminating glaciers in satellite images is a labour-intensive task. We propose a method based on deep learning that automates this task. We choose a deep learning framework that adapts to any given dataset without needing deep learning expertise. The method is evaluated on a benchmark dataset for calving-front detection and glacier zone segmentation. The framework can beat the benchmark baseline without major modifications.
Whyjay Zheng, Shashank Bhushan, Maximillian Van Wyk De Vries, William Kochtitzky, David Shean, Luke Copland, Christine Dow, Renette Jones-Ivey, and Fernando Pérez
The Cryosphere, 17, 4063–4078, https://doi.org/10.5194/tc-17-4063-2023, https://doi.org/10.5194/tc-17-4063-2023, 2023
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We design and propose a method that can evaluate the quality of glacier velocity maps. The method includes two numbers that we can calculate for each velocity map. Based on statistics and ice flow physics, velocity maps with numbers close to the recommended values are considered to have good quality. We test the method using the data from Kaskawulsh Glacier, Canada, and release an open-sourced software tool called GLAcier Feature Tracking testkit (GLAFT) to help users assess their velocity maps.
Monika Pfau, Georg Veh, and Wolfgang Schwanghart
The Cryosphere, 17, 3535–3551, https://doi.org/10.5194/tc-17-3535-2023, https://doi.org/10.5194/tc-17-3535-2023, 2023
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Cast shadows have been a recurring problem in remote sensing of glaciers. We show that the length of shadows from surrounding mountains can be used to detect gains or losses in glacier elevation.
Guanyu Li, Mingyang Lv, Duncan J. Quincey, Liam S. Taylor, Xinwu Li, Shiyong Yan, Yidan Sun, and Huadong Guo
The Cryosphere, 17, 2891–2907, https://doi.org/10.5194/tc-17-2891-2023, https://doi.org/10.5194/tc-17-2891-2023, 2023
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Kyagar Glacier in the Karakoram is well known for its surge history and its frequent blocking of the downstream valley, leading to a series of high-magnitude glacial lake outburst floods. Using it as a test bed, we develop a new approach for quantifying surge behaviour using successive digital elevation models. This method could be applied to other surge studies. Combined with the results from optical satellite images, we also reconstruct the surge process in unprecedented detail.
Christian Sommer, Johannes J. Fürst, Matthias Huss, and Matthias H. Braun
The Cryosphere, 17, 2285–2303, https://doi.org/10.5194/tc-17-2285-2023, https://doi.org/10.5194/tc-17-2285-2023, 2023
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Knowledge on the volume of glaciers is important to project future runoff. Here, we present a novel approach to reconstruct the regional ice thickness distribution from easily available remote-sensing data. We show that past ice thickness, derived from spaceborne glacier area and elevation datasets, can constrain the estimated ice thickness. Based on the unique glaciological database of the European Alps, the approach will be most beneficial in regions without direct thickness measurements.
Ugo Nanni, Dirk Scherler, Francois Ayoub, Romain Millan, Frederic Herman, and Jean-Philippe Avouac
The Cryosphere, 17, 1567–1583, https://doi.org/10.5194/tc-17-1567-2023, https://doi.org/10.5194/tc-17-1567-2023, 2023
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Surface melt is a major factor driving glacier movement. Using satellite images, we have tracked the movements of 38 glaciers in the Pamirs over 7 years, capturing their responses to rapid meteorological changes with unprecedented resolution. We show that in spring, glacier accelerations propagate upglacier, while in autumn, they propagate downglacier – all resulting from changes in meltwater input. This provides critical insights into the interplay between surface melt and glacier movement.
Connor J. Shiggins, James M. Lea, and Stephen Brough
The Cryosphere, 17, 15–32, https://doi.org/10.5194/tc-17-15-2023, https://doi.org/10.5194/tc-17-15-2023, 2023
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Iceberg detection is spatially and temporally limited around the Greenland Ice Sheet. This study presents a new, accessible workflow to automatically detect icebergs from timestamped ArcticDEM strip data. The workflow successfully produces comparable output to manual digitisation, with results revealing new iceberg area-to-volume conversion equations that can be widely applied to datasets where only iceberg outlines can be extracted (e.g. optical and SAR imagery).
Xinde Chu, Xiaojun Yao, Hongyu Duan, Cong Chen, Jing Li, and Wenlong Pang
The Cryosphere, 16, 4273–4289, https://doi.org/10.5194/tc-16-4273-2022, https://doi.org/10.5194/tc-16-4273-2022, 2022
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The available remote-sensing data are increasingly abundant, and the efficient and rapid acquisition of glacier boundaries based on these data is currently a frontier issue in glacier research. In this study, we designed a complete solution to automatically extract glacier outlines from the high-resolution images. Compared with other methods, our method achieves the best performance for glacier boundary extraction in parts of the Tanggula Mountains, Kunlun Mountains and Qilian Mountains.
Sophie Goliber, Taryn Black, Ginny Catania, James M. Lea, Helene Olsen, Daniel Cheng, Suzanne Bevan, Anders Bjørk, Charlie Bunce, Stephen Brough, J. Rachel Carr, Tom Cowton, Alex Gardner, Dominik Fahrner, Emily Hill, Ian Joughin, Niels J. Korsgaard, Adrian Luckman, Twila Moon, Tavi Murray, Andrew Sole, Michael Wood, and Enze Zhang
The Cryosphere, 16, 3215–3233, https://doi.org/10.5194/tc-16-3215-2022, https://doi.org/10.5194/tc-16-3215-2022, 2022
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Terminus traces have been used to understand how Greenland's glaciers have changed over time; however, manual digitization is time-intensive, and a lack of coordination leads to duplication of efforts. We have compiled a dataset of over 39 000 terminus traces for 278 glaciers for scientific and machine learning applications. We also provide an overview of an updated version of the Google Earth Engine Digitization Tool (GEEDiT), which has been developed specifically for the Greenland Ice Sheet.
Flavien Beaud, Saif Aati, Ian Delaney, Surendra Adhikari, and Jean-Philippe Avouac
The Cryosphere, 16, 3123–3148, https://doi.org/10.5194/tc-16-3123-2022, https://doi.org/10.5194/tc-16-3123-2022, 2022
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Understanding sliding at the bed of glaciers is essential to understand the future of sea-level rise and glacier-related hazards. Yet there is currently no universal law to describe this mechanism. We propose a universal glacier sliding law and a method to qualitatively constrain it. We use satellite remote sensing to create velocity maps over 6 years at Shisper Glacier, Pakistan, including its recent surge, and show that the observations corroborate the generalized theory.
Ingalise Kindstedt, Kristin M. Schild, Dominic Winski, Karl Kreutz, Luke Copland, Seth Campbell, and Erin McConnell
The Cryosphere, 16, 3051–3070, https://doi.org/10.5194/tc-16-3051-2022, https://doi.org/10.5194/tc-16-3051-2022, 2022
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We show that neither the large spatial footprint of the MODIS sensor nor poorly constrained snow emissivity values explain the observed cold offset in MODIS land surface temperatures (LSTs) in the St. Elias. Instead, the offset is most prominent under conditions associated with near-surface temperature inversions. This work represents an advance in the application of MODIS LSTs to glaciated alpine regions, where we often depend solely on remote sensing products for temperature information.
Frank Paul, Livia Piermattei, Désirée Treichler, Lin Gilbert, Luc Girod, Andreas Kääb, Ludivine Libert, Thomas Nagler, Tazio Strozzi, and Jan Wuite
The Cryosphere, 16, 2505–2526, https://doi.org/10.5194/tc-16-2505-2022, https://doi.org/10.5194/tc-16-2505-2022, 2022
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Glacier surges are widespread in the Karakoram and have been intensely studied using satellite data and DEMs. We use time series of such datasets to study three glacier surges in the same region of the Karakoram. We found strongly contrasting advance rates and flow velocities, maximum velocities of 30 m d−1, and a change in the surge mechanism during a surge. A sensor comparison revealed good agreement, but steep terrain and the two smaller glaciers caused limitations for some of them.
Bas Altena, Andreas Kääb, and Bert Wouters
The Cryosphere, 16, 2285–2300, https://doi.org/10.5194/tc-16-2285-2022, https://doi.org/10.5194/tc-16-2285-2022, 2022
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Repeat overflights of satellites are used to estimate surface displacements. However, such products lack a simple error description for individual measurements, but variation in precision occurs, since the calculation is based on the similarity of texture. Fortunately, variation in precision manifests itself in the correlation peak, which is used for the displacement calculation. This spread is used to make a connection to measurement precision, which can be of great use for model inversion.
Benjamin Aubrey Robson, Shelley MacDonell, Álvaro Ayala, Tobias Bolch, Pål Ringkjøb Nielsen, and Sebastián Vivero
The Cryosphere, 16, 647–665, https://doi.org/10.5194/tc-16-647-2022, https://doi.org/10.5194/tc-16-647-2022, 2022
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This work uses satellite and aerial data to study glaciers and rock glacier changes in La Laguna catchment within the semi-arid Andes of Chile, where ice melt is an important factor in river flow. The results show the rate of ice loss of Tapado Glacier has been increasing since the 1950s, which possibly relates to a dryer, warmer climate over the previous decades. Several rock glaciers show high surface velocities and elevation changes between 2012 and 2020, indicating they may be ice-rich.
Christian Sommer, Thorsten Seehaus, Andrey Glazovsky, and Matthias H. Braun
The Cryosphere, 16, 35–42, https://doi.org/10.5194/tc-16-35-2022, https://doi.org/10.5194/tc-16-35-2022, 2022
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Arctic glaciers have been subject to extensive warming due to global climate change, yet their contribution to sea level rise has been relatively small in the past. In this study we provide mass changes of most glaciers of the Russian High Arctic (Franz Josef Land, Severnaya Zemlya, Novaya Zemlya). We use TanDEM-X satellite measurements to derive glacier surface elevation changes. Our results show an increase in glacier mass loss and a sea level rise contribution of 0.06 mm/a (2010–2017).
Jan Bouke Pronk, Tobias Bolch, Owen King, Bert Wouters, and Douglas I. Benn
The Cryosphere, 15, 5577–5599, https://doi.org/10.5194/tc-15-5577-2021, https://doi.org/10.5194/tc-15-5577-2021, 2021
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About 10 % of Himalayan glaciers flow directly into lakes. This study finds, using satellite imagery, that such glaciers show higher flow velocities than glaciers without ice–lake contact. In particular near the glacier tongue the impact of a lake on the glacier flow can be dramatic. The development of current and new meltwater bodies will influence the flow of an increasing number of Himalayan glaciers in the future, a scenario not currently considered in regional ice loss projections.
Armin Dachauer, Richard Hann, and Andrew J. Hodson
The Cryosphere, 15, 5513–5528, https://doi.org/10.5194/tc-15-5513-2021, https://doi.org/10.5194/tc-15-5513-2021, 2021
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This study investigated the aerodynamic roughness length (z0) – an important parameter to determine the surface roughness – of crevassed tidewater glaciers on Svalbard using drone data. The results point out that the range of z0 values across a crevassed glacier is large but in general significantly higher compared to non-crevassed glacier surfaces. The UAV approach proved to be an ideal tool to provide distributed z0 estimates of crevassed glaciers which can be used to model turbulent fluxes.
Melanie Marochov, Chris R. Stokes, and Patrice E. Carbonneau
The Cryosphere, 15, 5041–5059, https://doi.org/10.5194/tc-15-5041-2021, https://doi.org/10.5194/tc-15-5041-2021, 2021
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Research into the use of deep learning for pixel-level classification of landscapes containing marine-terminating glaciers is lacking. We adapt a novel and transferable deep learning workflow to classify satellite imagery containing marine-terminating outlet glaciers in Greenland. Our workflow achieves high accuracy and mimics human visual performance, potentially providing a useful tool to monitor glacier change and further understand the impacts of climate change in complex glacial settings.
Paul Willem Leclercq, Andreas Kääb, and Bas Altena
The Cryosphere, 15, 4901–4907, https://doi.org/10.5194/tc-15-4901-2021, https://doi.org/10.5194/tc-15-4901-2021, 2021
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In this study we present a novel method to detect glacier surge activity. Surges are relevant as they disturb the link between glacier change and climate, and studying surges can also increase understanding of glacier flow. We use variations in Sentinel-1 radar backscatter strength, calculated with the use of Google Earth Engine, to detect surge activity. In our case study for the year 2018–2019 we find 69 cases of surging glaciers globally. Many of these were not previously known to be surging.
George Brencher, Alexander L. Handwerger, and Jeffrey S. Munroe
The Cryosphere, 15, 4823–4844, https://doi.org/10.5194/tc-15-4823-2021, https://doi.org/10.5194/tc-15-4823-2021, 2021
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We use satellite InSAR to inventory and monitor rock glaciers, frozen bodies of ice and rock debris that are an important water resource in the Uinta Mountains, Utah, USA. Our inventory contains 205 rock glaciers, which occur within a narrow elevation band and deform at 1.94 cm yr-1 on average. Uinta rock glacier movement changes seasonally and appears to be driven by spring snowmelt. The role of rock glaciers as a perennial water resource is threatened by ice loss due to climate change.
Adina E. Racoviteanu, Lindsey Nicholson, and Neil F. Glasser
The Cryosphere, 15, 4557–4588, https://doi.org/10.5194/tc-15-4557-2021, https://doi.org/10.5194/tc-15-4557-2021, 2021
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Supraglacial debris cover comprises ponds, exposed ice cliffs, debris material and vegetation. Understanding these features is important for glacier hydrology and related hazards. We use linear spectral unmixing of satellite data to assess the composition of map supraglacial debris across the Himalaya range in 2015. One of the highlights of this study is the automated mapping of supraglacial ponds, which complements and expands the existing supraglacial debris and lake databases.
Corey Scher, Nicholas C. Steiner, and Kyle C. McDonald
The Cryosphere, 15, 4465–4482, https://doi.org/10.5194/tc-15-4465-2021, https://doi.org/10.5194/tc-15-4465-2021, 2021
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Time series synthetic aperture radar enables detection of seasonal reach-scale glacier surface melting across continents, a key component of surface energy balance for mountain glaciers. We observe melting across all areas of the Hindu Kush Himalaya (HKH) cryosphere. Surface melting for the HKH lasts for close to 5 months per year on average and for just below 2 months at elevations exceeding 7000 m a.s.l. Further, there are indications that melting is more than superficial at high elevations.
Lander Van Tricht, Philippe Huybrechts, Jonas Van Breedam, Alexander Vanhulle, Kristof Van Oost, and Harry Zekollari
The Cryosphere, 15, 4445–4464, https://doi.org/10.5194/tc-15-4445-2021, https://doi.org/10.5194/tc-15-4445-2021, 2021
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We conducted innovative research on the use of drones to determine the surface mass balance (SMB) of two glaciers. Considering appropriate spatial scales, we succeeded in determining the SMB in the ablation area with large accuracy. Consequently, we are convinced that our method and the use of drones to monitor the mass balance of a glacier’s ablation area can be an add-on to stake measurements in order to obtain a broader picture of the heterogeneity of the SMB of glaciers.
Yuting Dong, Ji Zhao, Dana Floricioiu, Lukas Krieger, Thomas Fritz, and Michael Eineder
The Cryosphere, 15, 4421–4443, https://doi.org/10.5194/tc-15-4421-2021, https://doi.org/10.5194/tc-15-4421-2021, 2021
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We generated a consistent, gapless and high-resolution (12 m) topography product of the Antarctic Peninsula by combining the complementary advantages of the two most recent high-resolution digital elevation model (DEM) products: the TanDEM-X DEM and the Reference Elevation Model of Antarctica. The generated DEM maintains the characteristics of the TanDEM-X DEM, has a better quality due to the correction of the residual height errors in the non-edited TanDEM-X DEM and will be freely available.
Sergey Samsonov, Kristy Tiampo, and Ryan Cassotto
The Cryosphere, 15, 4221–4239, https://doi.org/10.5194/tc-15-4221-2021, https://doi.org/10.5194/tc-15-4221-2021, 2021
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The direction and intensity of glacier surface flow adjust in response to a warming climate, causing sea level rise, seasonal flooding and droughts, and changing landscapes and habitats. We developed a technique that measures the evolution of surface flow for a glaciated region in three dimensions with high temporal and spatial resolution and used it to map the temporal evolution of glaciers in southeastern Alaska (Agassiz, Seward, Malaspina, Klutlan, Walsh, and Kluane) during 2016–2021.
Anne Braakmann-Folgmann, Andrew Shepherd, and Andy Ridout
The Cryosphere, 15, 3861–3876, https://doi.org/10.5194/tc-15-3861-2021, https://doi.org/10.5194/tc-15-3861-2021, 2021
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We investigate the disintegration of the B30 iceberg using satellite remote sensing and find that the iceberg lost 378 km3 of ice in 6.5 years, corresponding to 80 % of its initial volume. About two thirds are due to fragmentation at the sides, and one third is due to melting at the iceberg’s base. The release of fresh water and nutrients impacts ocean circulation, sea ice formation, and biological production. We show that adding a snow layer is important when deriving iceberg thickness.
Joschka Geissler, Christoph Mayer, Juilson Jubanski, Ulrich Münzer, and Florian Siegert
The Cryosphere, 15, 3699–3717, https://doi.org/10.5194/tc-15-3699-2021, https://doi.org/10.5194/tc-15-3699-2021, 2021
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The study demonstrates the potential of photogrammetry for analyzing glacier retreat with high spatial resolution. Twenty-three glaciers within the Ötztal Alps are analyzed. We compare photogrammetric and glaciologic mass balances of the Vernagtferner by using the ELA for our density assumption and an UAV survey for a temporal correction of the geodetic mass balances. The results reveal regions of anomalous mass balance and allow estimates of the imbalance between mass balances and ice dynamics.
Lukas Müller, Martin Horwath, Mirko Scheinert, Christoph Mayer, Benjamin Ebermann, Dana Floricioiu, Lukas Krieger, Ralf Rosenau, and Saurabh Vijay
The Cryosphere, 15, 3355–3375, https://doi.org/10.5194/tc-15-3355-2021, https://doi.org/10.5194/tc-15-3355-2021, 2021
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Harald Moltke Bræ, a marine-terminating glacier in north-western Greenland, undergoes remarkable surges of episodic character. Our data show that a recent surge from 2013 to 2019 was initiated at the glacier front and exhibits a pronounced seasonality with flow velocities varying by 1 order of magnitude, which has not been observed at Harald Moltke Bræ in this way before. These findings are crucial for understanding surge mechanisms at Harald Moltke Bræ and other marine-terminating glaciers.
Joseph A. MacGregor, Michael Studinger, Emily Arnold, Carlton J. Leuschen, Fernando Rodríguez-Morales, and John D. Paden
The Cryosphere, 15, 2569–2574, https://doi.org/10.5194/tc-15-2569-2021, https://doi.org/10.5194/tc-15-2569-2021, 2021
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We combine multiple recent global glacier datasets and extend one of them (GlaThiDa) to evaluate past performance of radar-sounding surveys of the thickness of Earth's temperate glaciers. An empirical envelope for radar performance as a function of center frequency is determined, its limitations are discussed and its relevance to future radar-sounder survey and system designs is considered.
Maximillian Van Wyk de Vries and Andrew D. Wickert
The Cryosphere, 15, 2115–2132, https://doi.org/10.5194/tc-15-2115-2021, https://doi.org/10.5194/tc-15-2115-2021, 2021
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We can measure glacier flow and sliding velocity by tracking patterns on the ice surface in satellite images. The surface velocity of glaciers provides important information to support assessments of glacier response to climate change, to improve regional assessments of ice thickness, and to assist with glacier fieldwork. Our paper describes Glacier Image Velocimetry (GIV), a new, easy-to-use, and open-source toolbox for calculating high-resolution velocity time series for any glacier on earth.
Daniel Cheng, Wayne Hayes, Eric Larour, Yara Mohajerani, Michael Wood, Isabella Velicogna, and Eric Rignot
The Cryosphere, 15, 1663–1675, https://doi.org/10.5194/tc-15-1663-2021, https://doi.org/10.5194/tc-15-1663-2021, 2021
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Tracking changes in Greenland's glaciers is important for understanding Earth's climate, but it is time consuming to do so by hand. We train a program, called CALFIN, to automatically track these changes with human levels of accuracy. CALFIN is a special type of program called a neural network. This method can be applied to other glaciers and eventually other tracking tasks. This will enhance our understanding of the Greenland Ice Sheet and permit better models of Earth's climate.
Andri Gunnarsson, Sigurdur M. Gardarsson, Finnur Pálsson, Tómas Jóhannesson, and Óli G. B. Sveinsson
The Cryosphere, 15, 547–570, https://doi.org/10.5194/tc-15-547-2021, https://doi.org/10.5194/tc-15-547-2021, 2021
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Surface albedo quantifies the fraction of the sunlight reflected by the surface of the Earth. During the melt season in the Northern Hemisphere solar energy absorbed by snow- and ice-covered surfaces is mainly controlled by surface albedo. For Icelandic glaciers, air temperature and surface albedo are the dominating factors governing annual variability of glacier surface melt. Satellite data from the MODIS sensor are used to create a data set spanning the glacier melt season.
Bryan Riel, Brent Minchew, and Ian Joughin
The Cryosphere, 15, 407–429, https://doi.org/10.5194/tc-15-407-2021, https://doi.org/10.5194/tc-15-407-2021, 2021
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The availability of large volumes of publicly available remote sensing data over terrestrial glaciers provides new opportunities for studying the response of glaciers to a changing climate. We present an efficient method for tracking changes in glacier speeds at high spatial and temporal resolutions from surface observations, demonstrating the recovery of traveling waves over Jakobshavn Isbræ, Greenland. Quantification of wave properties may ultimately enhance understanding of glacier dynamics.
Chad A. Greene, Alex S. Gardner, and Lauren C. Andrews
The Cryosphere, 14, 4365–4378, https://doi.org/10.5194/tc-14-4365-2020, https://doi.org/10.5194/tc-14-4365-2020, 2020
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Seasonal variability is a fundamental characteristic of any Earth surface system, but we do not fully understand which of the world's glaciers speed up and slow down on an annual cycle. Such short-timescale accelerations may offer clues about how individual glaciers will respond to longer-term changes in climate, but understanding any behavior requires an ability to observe it. We describe how to use satellite image feature tracking to determine the magnitude and timing of seasonal ice dynamics.
Ellyn M. Enderlin and Timothy C. Bartholomaus
The Cryosphere, 14, 4121–4133, https://doi.org/10.5194/tc-14-4121-2020, https://doi.org/10.5194/tc-14-4121-2020, 2020
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Accurate predictions of future changes in glacier flow require the realistic simulation of glacier terminus position change in numerical models. We use crevasse observations for 19 Greenland glaciers to explore whether the two commonly used crevasse depth models match observations. The models cannot reproduce spatial patterns, and we largely attribute discrepancies between modeled and observed depths to the models' inability to account for advection.
Angus J. Dowson, Pascal Sirguey, and Nicolas J. Cullen
The Cryosphere, 14, 3425–3448, https://doi.org/10.5194/tc-14-3425-2020, https://doi.org/10.5194/tc-14-3425-2020, 2020
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Satellite observations over 19 years are used to characterise the spatial and temporal variability of surface albedo across the gardens of Eden and Allah, two of New Zealand’s largest ice fields. The variability in response of individual glaciers reveals the role of topographic setting and suggests that glaciers in the Southern Alps do not behave as a single climatic unit. There is evidence that the timing of the minimum surface albedo has shifted to later in the summer on 10 of the 12 glaciers.
Anna Bergstrom, Michael N. Gooseff, Madeline Myers, Peter T. Doran, and Julian M. Cross
The Cryosphere, 14, 769–788, https://doi.org/10.5194/tc-14-769-2020, https://doi.org/10.5194/tc-14-769-2020, 2020
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This study sought to understand patterns of reflectance of visible light across the landscape of the McMurdo Dry Valleys, Antarctica. We used a helicopter-based platform to measure reflectance along an entire valley with a particular focus on the glaciers, as reflectance strongly controls glacier melt and available water to the downstream ecosystem. We found that patterns are controlled by gradients in snowfall, wind redistribution, and landscape structure, which can trap snow and sediment.
Désirée Treichler, Andreas Kääb, Nadine Salzmann, and Chong-Yu Xu
The Cryosphere, 13, 2977–3005, https://doi.org/10.5194/tc-13-2977-2019, https://doi.org/10.5194/tc-13-2977-2019, 2019
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Glacier growth such as that found on the Tibetan Plateau (TP) is counterintuitive in a warming world. Climate models and meteorological data are conflicting about the reasons for this glacier anomaly. We quantify the glacier changes in High Mountain Asia using satellite laser altimetry as well as the growth of over 1300 inland lakes on the TP. Our study suggests that increased summer precipitation is likely the largest contributor to the recently observed increases in glacier and lake masses.
Christoph Rohner, David Small, Jan Beutel, Daniel Henke, Martin P. Lüthi, and Andreas Vieli
The Cryosphere, 13, 2953–2975, https://doi.org/10.5194/tc-13-2953-2019, https://doi.org/10.5194/tc-13-2953-2019, 2019
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The recent increase in ice flow and calving rates of ocean–terminating glaciers contributes substantially to the mass loss of the Greenland Ice Sheet. Using in situ reference observations, we validate the satellite–based method of iterative offset tracking of Sentinel–1A data for deriving flow speeds. Our investigations highlight the importance of spatial resolution near the fast–flowing calving front, resulting in significantly higher ice velocities compared to large–scale operational products.
Jozef Šupinský, Ján Kaňuk, Zdenko Hochmuth, and Michal Gallay
The Cryosphere, 13, 2835–2851, https://doi.org/10.5194/tc-13-2835-2019, https://doi.org/10.5194/tc-13-2835-2019, 2019
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Cave ice formations can be considered an indicator of long-term changes in the landscape. Using terrestrial laser scanning we generated a time series database of a 3-D cave model. We present a novel approach toward registration of scan missions into a unified coordinate system and methodology for detection of cave floor ice changes. We demonstrate the results of the ice dynamics monitoring correlated with meteorological observations in the Silická ľadnica cave situated in the Slovak Karst.
Thorsten Seehaus, Philipp Malz, Christian Sommer, Stefan Lippl, Alejo Cochachin, and Matthias Braun
The Cryosphere, 13, 2537–2556, https://doi.org/10.5194/tc-13-2537-2019, https://doi.org/10.5194/tc-13-2537-2019, 2019
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The glaciers in Peru are strongly affected by climate change and have shown significant ice loss in the last century. We present the first multi-temporal, countrywide quantification of glacier area and ice mass changes. A glacier area loss of −548.5 ± 65.7 km2 (−29 %) and ice mass loss of −7.62 ± 1.05 Gt is obtained for the period 2000–2016. The ice loss rate increased towards the end of the observation period. The glacier changes revealed can be attributed to regional climatic changes and ENSO.
Cited articles
Anderson, L. S. and Anderson, R. S.: Debris thickness patterns on
debris-covered glaciers, Geomorphology, 311, 1–12,
https://doi.org/10.1016/j.geomorph.2018.03.014, 2018.
Anderson, L. S., Armstrong, W. H., Anderson, R. S., Scherler, D., and
Petersen, E.: The Causes of Debris-Covered Glacier Thinning: Evidence for
the Importance of Ice Dynamics From Kennicott Glacier, Alaska, Front. Earth
Sci., 9, 680995, https://doi.org/10.3389/feart.2021.680995, 2021.
Aragon, B., Johansen, K., Parkes, S., Malbeteau, Y., Al-mashharawi, S.,
Al-amoudi, T., Andrade, C. F., Turner, D., Lucieer, A., and McCabe, M. F.: A
calibration procedure for field and uav-based uncooled thermal infrared
instruments, Sensors (Switzerland), 20, 3316, https://doi.org/10.3390/s20113316,
2020.
Aubry-Wake, C., Baraer, M., McKenzie, J. M., Mark, B. G., Wigmore, O.,
Hellström, R., Lautz, L., and Somers, L.: Measuring glacier surface
temperatures with ground-based thermal infrared imaging, Geophys. Res.
Lett., 42, 8489–8497, https://doi.org/10.1002/2015GL065321, 2015.
Aubry-Wake, C., Zéphir, D., Baraer, M., McKenzie, J. M., and Mark, B.
G.: Importance of longwave emissions from adjacent terrain on patterns of
tropical glacier melt and recession, J. Glaciol., 64, 49–60,
https://doi.org/10.1017/jog.2017.85, 2018.
Barry, R., Chorley, R., Barry, R. G., and Oke, T. R.: Boundary
layer climates, in: Atmosphere, Weather and Climate, Routledge,
https://doi.org/10.4324/9780203428238-12, 2022.
Benn, D. and Evans, D. J. A.: Glaciers and Glaciation, 2nd edition, Routledge,
https://doi.org/10.4324/9780203785010, 2014.
Benn, D. I., Bolch, T., Hands, K., Gulley, J., Luckman, A., Nicholson, L.
I., Quincey, D., Thompson, S., Toumi, R., and Wiseman, S.: Response of
debris-covered glaciers in the Mount Everest region to recent warming, and
implications for outburst flood hazards, Earth-Sci. Rev., 114, 156–174,
https://doi.org/10.1016/j.earscirev.2012.03.008, 2012.
Bhambri, R., Bolch, T., Chaujar, R. K., and Kulshreshtha, S. C.: Glacier
changes in the Garhwal Himalaya, India, from 1968 to 2006 based on remote
sensing, J. Glaciol., 57, 543–556, https://doi.org/10.3189/002214311796905604, 2011.
Bird, R. E. and Hulstrom, R. L.: A Simplified Clear Sky Model for Direct and
Diffuse Insolation on Horizontal Surfaces, No. SERI/TR-642-761, Solar Energy Research Inst., Golden, CO (USA), 1981.
Bolch, T., Kulkarni, A., Kääb, A., Huggel, C., Paul, F., Cogley, J. G., Frey, H., Kargel, J. S., Fujita, K., Scheel, M., Bajracharya, S., and Stoffel, M.: The state and fate of himalayan glaciers, Science, 336, 310–314, https://doi.org/10.1126/science.1215828, 2012.
Bolch, T., Kulkarni, A., Kääb, A., Huggel, C., Paul, F., Cogley, J.
G., Frey, H., Kargel, J. S., Fujita, K., Scheel, M., Bajracharya,
Boxall, K., Willis, I., Giese, A., and Liu, Q.: Quantifying Patterns of
Supraglacial Debris Thickness and Their Glaciological Controls in High
Mountain Asia, Front. Earth Sci., 9, 657440,
https://doi.org/10.3389/feart.2021.657440, 2021.
Boxall, K., Willis, I., Giese, A., and Liu, Q.: Quantifying Patterns of Supraglacial Debris Thickness and Their Glaciological Controls in High Mountain Asia, Front. Earth Sci., 9, 657440, https://doi.org/10.3389/feart.2021.657440, 2021.
Breiman, L.: Random forests, Mach. Learn., 45, 5–32,
https://doi.org/10.1023/A:1010933404324, 2001.
Brock, B. W., Willis, I. C., and Sharp, M. J.: Measurement and
parameterization of albedo variations at haut glacier d'arolla, Switzerland,
J. Glaciol., 46, 675–688, https://doi.org/10.3189/172756500781832675, 2000.
Brock, B. W., Mihalcea, C., Kirkbride, M. P., Diolaiuti, G., Cutler, M. E.
J., and Smiraglia, C.: Meteorology and surface energy fluxes in the
2005–2007 ablation seasons at the Miage debris-covered glacier, Mont Blanc
Massif, Italian Alps, J. Geophys. Res.-Atmos., 115, 115.D9,
https://doi.org/10.1029/2009JD013224, 2010.
Budzier, H. and Gerlach, G.: Calibration of uncooled thermal infrared
cameras, J. Sensors Sens. Syst., 4, 187–197, https://doi.org/10.5194/jsss-4-187-2015,
2015.
Byerlay, R. A. E., Coates, C., Aliabadi, A. A., and Kevan, P. G.: In situ
calibration of an uncooled thermal camera for the accurate quantification of
flower and stem surface temperatures, Thermochim. Acta, 693, 178779,
https://doi.org/10.1016/j.tca.2020.178779, 2020.
Conway, H. and Rasmussen, L. A.: Summer temperature profiles within
supraglacial debris on Khumbu Glacier, Nepal, in: IAHS-AISH Publication, 89–98,
2000.
Cook, K. L.: An evaluation of the effectiveness of low-cost UAVs and
structure from motion for geomorphic change detection, Geomorphology, 278, 195–208,
https://doi.org/10.1016/j.geomorph.2016.11.009, 2017.
Corripio, J. G.: Vectorial algebra algorithms for calculating terrain
parameters from dems and solar radiation modelling in mountainous terrain,
Int. J. Geogr. Inf. Sci., 17, 1–23, https://doi.org/10.1080/713811744, 2003.
Crameri, F., Shephard, G. E., and Heron, P. J.: The misuse of colour in science communication, Nat. Commun., 11, 5444, https://doi.org/10.1038/s41467-020-19160-7, 2020.
Dugdale, S. J., Kelleher, C. A., Malcolm, I. A., Caldwell, S., and Hannah,
D. M.: Assessing the potential of drone-based thermal infrared imagery for
quantifying river temperature heterogeneity, Hydrol. Process., 33, 1152–1163,
https://doi.org/10.1002/hyp.13395, 2019.
FLIR – UAS Radiometric Temperature Measurements:
https://www.flir.com/discover/suas/uas-radiometric-temperature-measurements/
(last access: 26 April 2022), 2020
Foster, L. A., Brock, B. W., Cutler, M. E. J., and Diotri, F.: A physically
based method for estimating supraglacial debris thickness from thermal band
remote-sensing data, J. Glaciol., 58, 677–691, https://doi.org/10.3189/2012JoG11J194,
2012.
Gardelle, J., Berthier, E., and Arnaud, Y.: Slight mass gain of Karakoram
glaciers in the early twenty-first century, Nat. Geosci., 5, 322–325,
https://doi.org/10.1038/ngeo1450, 2012.
Gibson, M. J., Glasser, N. F., Quincey, D. J., Mayer, C., Rowan, A. V., and
Irvine-Fynn, T. D. L.: Temporal variations in supraglacial debris
distribution on Baltoro Glacier, Karakoram between 2001 and 2012,
Geomorphology, 295, 572–585, https://doi.org/10.1016/j.geomorph.2017.08.012, 2017.
Glasser, N. F., Holt, T. O., Evans, Z. D., Davies, B. J., Pelto, M., and
Harrison, S.: Recent spatial and temporal variations in debris cover on
Patagonian glaciers, Geomorphology, 273, 202–216,
https://doi.org/10.1016/j.geomorph.2016.07.036, 2016.
Gök, D. T., Scherler, D., and Anderson, L. S.: High-resolution debris
cover mapping using UAV-derived thermal imagery, GFZ Data Serv. [data/code],
https://doi.org/10.5880/GFZ.3.3.2022.003, 2022.
Hartmeyer, I., Delleske, R., Keuschnig, M., Krautblatter, M., Lang, A., Schrott, L., and Otto, J.-C.: Current glacier recession causes significant rockfall increase: the immediate paraglacial response of deglaciating cirque walls, Earth Surf. Dynam., 8, 729–751, https://doi.org/10.5194/esurf-8-729-2020, 2020a.
Hartmeyer, I., Keuschnig, M., Delleske, R., Krautblatter, M., Lang, A., Schrott, L., Prasicek, G., and Otto, J.-C.: A 6-year lidar survey reveals enhanced rockwall retreat and modified rockfall magnitudes/frequencies in deglaciating cirques, Earth Surf. Dynam., 8, 753–768, https://doi.org/10.5194/esurf-8-753-2020, 2020b.
Heinemann, S., Siegmann, B., Thonfeld, F., Muro, J., Jedmowski, C., Kemna,
A., Kraska, T., Muller, O., Schultz, J., Udelhoven, T., Wilke, N., and
Rascher, U.: Land surface temperature retrieval for agricultural areas using
a novel UAV platform equipped with a thermal infrared and multispectral
sensor, Remote Sens., 12, 1075, https://doi.org/10.3390/rs12071075, 2020.
Herreid, S.: What Can Thermal Imagery Tell Us About Glacier Melt Below Rock
Debris?, Front. Earth Sci., 9, 681059, https://doi.org/10.3389/feart.2021.681059,
2021.
Herreid, S. and Pellicciotti, F.: The state of rock debris covering Earth’s glaciers, Nat. Geosci., 13, 621–627, https://doi.org/10.1038/s41561-020-0615-0, 2020.
Hill-Butler, C.: Thermal infrared remote sensing: sensors, methods,
applications, Int. J. Remote Sens., 35, 359–360,
https://doi.org/10.1080/01431161.2014.928448, 2014.
Hock, R. and Huss, M.: Chapter 9 – Glaciers and climate change, in: Climate
Change (Third Edition), edited by: Letcher, T. M., Elsevier, 157–176,
https://doi.org/10.1016/B978-0-12-821575-3.00009-8, 2021.
Hock, R., Rasul, G., Adler, C., Cáceres, B., Gruber, S., Hirabayashi,
Y., Jackson, M., Kääb, A., Kang, S., Kutuzov, S., Milner, A., Molau,
U., Morin, S., Orlove, B., and Steltzer, H. I.: Chapter 2: High Mountain
Areas, IPCC Special Report on the Ocean and Cryosphere in a Changing
Climate, in: IPCC Special Report on the Ocean and Cryosphere in a Changing
Climate, 131–202, 2019.
Hopkinson, C., Barlow, J., Demuth, M., and Pomeroy, J.: Mapping changing
temperature patterns over a glacial moraine using oblique thermal imagery
and lidar, Can. J. Remote Sens., 36, S257–S265, https://doi.org/10.5589/m10-053, 2010.
Huang, L., Li, Z., Tian, B. S., Han, H. D., Liu, Y. Q., Zhou, J. M., and
Chen, Q.: Estimation of supraglacial debris thickness using a novel target
decomposition on L-band polarimetric SAR images in the Tianshan Mountains,
J. Geophys. Res.-Earth Surf., 122, 925–940, https://doi.org/10.1002/2016JF004102,
2017.
Iqbal, M.: An Introduction to Solar Radiation, Elsevier,
https://doi.org/10.1016/b978-0-12-373750-2.x5001-0, 1983.
Irvine-Fynn, T. D. L., Porter, P. R., Rowan, A. V., Quincey, D. J., Gibson,
M. J., Bridge, J. W., Watson, C. S., Hubbard, A., and Glasser, N. F.:
Supraglacial Ponds Regulate Runoff From Himalayan Debris-Covered Glaciers,
Geophys. Res. Lett., 44, 11-894, https://doi.org/10.1002/2017GL075398, 2017.
Kaushik, S., Singh, T., Bhardwaj, A., Joshi, P. K., and Dietz, A. J.:
Automated Delineation of Supraglacial Debris Cover Using Deep Learning and
Multisource Remote Sensing Data, Remote Sens., 14, 1352,
https://doi.org/10.3390/rs14061352, 2022.
Kirkbride, M. P.: The temporal significance of transitions from melting to
calving termini at glaciers in the central Southern Alps of New Zealand, The
Holocene, 3, 232–240, https://doi.org/10.1177/095968369300300305, 1993.
Kirkbride, M. P. and Deline, P.: The formation of supraglacial debris covers
by primary dispersal from transverse englacial debris bands, Earth Surf.
Process. Landforms, 38, 1779–1792, https://doi.org/10.1002/esp.3416, 2013.
Kraaijenbrink, P. D. A., Bierkens, M. F. P., Lutz, A. F., and Immerzeel, W.
W.: Impact of a global temperature rise of 1.5 degrees Celsius on Asia's
glaciers, Nature, 549, 257–260, https://doi.org/10.1038/nature23878, 2017.
Kraaijenbrink, P. D. A., Shea, J. M., Litt, M., Steiner, J. F., Treichler,
D., Koch, I., and Immerzeel, W. W.: Mapping surface temperatures on a
debris-covered glacier with an unmanned aerial vehicle, Front. Earth Sci.,
6, 64, https://doi.org/10.3389/feart.2018.00064, 2018.
Malbéteau, Y., Parkes, S., Aragon, B., Rosas, J., and McCabe, M. F.:
Capturing the diurnal cycle of land surface temperature using an unmanned
aerial vehicle, Remote Sens., 10, 1407, https://doi.org/10.3390/rs10091407, 2018.
McCarthy, M., Pritchard, H., Willis, I., and King, E.: Ground-penetrating
radar measurements of debris thickness on Lirung Glacier, Nepal, J.
Glaciol., 63, 543–555, https://doi.org/10.1017/jog.2017.18, 2017.
McCarthy, M. J.: Quantifying supraglacial debris thickness at local to
regional scales, University of Cambridge, Cambridge, https://doi.org/10.17863/CAM.41172, 2019.
Mesas-Carrascosa, F. J., Pérez-Porras, F., de Larriva, J. E. M., Frau,
C. M., Agüera-Vega, F., Carvajal-Ramírez, F.,
Martínez-Carricondo, P., and García-Ferrer, A.: Drift correction
of lightweight microbolometer thermal sensors on-board unmanned aerial
vehicles, Remote Sens., 10, 615, https://doi.org/10.3390/rs10040615, 2018.
Mihalcea, C., Brock, B. W., Diolaiuti, G., D'Agata, C., Citterio, M.,
Kirkbride, M. P., Cutler, M. E. J., and Smiraglia, C.: Using ASTER satellite
and ground-based surface temperature measurements to derive supraglacial
debris cover and thickness patterns on Miage Glacier (Mont Blanc Massif,
Italy), Cold Reg. Sci. Technol., 52, 341–354,
https://doi.org/10.1016/j.coldregions.2007.03.004, 2008.
Miles, E. S., Steiner, J. F., and Brun, F.: Highly variable aerodynamic
roughness length (z0) for a hummocky debris-covered glacier, J. Geophys.
Res.-Atmos., 122, 8447–8466, https://doi.org/10.1002/2017JD026510, 2017.
Miles, E. S., Willis, I., Buri, P., Steiner, J. F., Arnold, N. S., and
Pellicciotti, F.: Surface Pond Energy Absorption Across Four Himalayan
Glaciers Accounts for 1/8 of Total Catchment Ice Loss, Geophys. Res. Lett.,
45, 10–464, https://doi.org/10.1029/2018GL079678, 2018.
Muñoz-Sabater, J.: ERA5-Land hourly data from 1981 to present,
Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set],
https://doi.org/10.24381/cds.e2161bac, 2019.
Nakawo, M. and Young, G. J.: Field Experiments to Determine the Effect of a
Debris Layer on Ablation of Glacier Ice, Ann. Glaciol., 2, 85–91,
https://doi.org/10.3189/172756481794352432, 1981.
Nicholson, L. and Benn, D. I.: Calculating ice melt beneath a debris layer
using meteorological data, J. Glaciol., 52, 463–470,
https://doi.org/10.3189/172756506781828584, 2006.
Nicholson, L. and Mertes, J.: Thickness estimation of supraglacial debris
above ice cliff exposures using a high-resolution digital surface model
derived from terrestrial photography, J. Glaciol., 63, 989–998,
https://doi.org/10.1017/jog.2017.68, 2017.
Norman, J. M. and Becker, F.: Terminology in thermal infrared remote sensing
of natural surfaces, Agric. For. Meteorol., 77, 159–173,
https://doi.org/10.1016/0168-1923(95)02259-Z, 1995.
Oerlemans, J. and Greuell, W.: Sensitivity studies with a mass balance model
including temperature profile calculations inside the glacier, Zeitschrift für Gletscherkunde und Glazialgeologie, 22.2, 101–124, 1986.
Østrem, G.: Ice Melting under a Thin Layer of Moraine, and the Existence
of Ice Cores in Moraine Ridges, Geogr. Ann., 41, 228–230,
https://doi.org/10.1080/20014422.1959.11907953, 1959.
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., and Duchesnay, É.: Scikit-learn: Machine learning in Python, J. Mach. Learn. Res., 12, 2825–2830, 2011.
Pellicciotti, F., Stephan, C., Miles, E., Herreid, S., Immerzeel, W. W., and
Bolch, T.: Mass-balance changes of the debris-covered glaciers in the
Langtang Himal, Nepal, from 1974 to 1999, J. Glaciol., 61, 373–386,
https://doi.org/10.3189/2015JoG13J237, 2015.
Price, J. C.: On the analysis of thermal infrared imagery: The limited
utility of apparent thermal inertia, Remote Sens. Environ., 18, 59–73,
https://doi.org/10.1016/0034-4257(85)90038-0, 1985.
Reid, T. D. and Brock, B. W.: An energy-balance model for debris-covered
glaciers including heat conduction through the debris layer, J. Glaciol.,
56, 903–916, https://doi.org/10.3189/002214310794457218, 2010.
Ribeiro-Gomes, K., Hernández-López, D., Ortega, J. F., Ballesteros,
R., Poblete, T., and Moreno, M. A.: Uncooled thermal camera calibration and
optimization of the photogrammetry process for UAV applications in
agriculture, Sensors (Switzerland), 17, 2173, https://doi.org/10.3390/s17102173,
2017.
Rounce, D. R. and McKinney, D. C.: Debris thickness of glaciers in the Everest area (Nepal Himalaya) derived from satellite imagery using a nonlinear energy balance model, The Cryosphere, 8, 1317–1329, https://doi.org/10.5194/tc-8-1317-2014, 2014.
Rounce, D. R., King, O., McCarthy, M., Shean, D. E., and Salerno, F.:
Quantifying Debris Thickness of Debris-Covered Glaciers in the Everest
Region of Nepal Through Inversion of a Subdebris Melt Model, J. Geophys.
Res. Earth Surf., 123, 1094–1115, https://doi.org/10.1029/2017JF004395, 2018.
Rounce, D. R., Hock, R., McNabb, R. W., Millan, R., Sommer, C., Braun, M.
H., Malz, P., Maussion, F., Mouginot, J., Seehaus, T. C., and Shean, D. E.:
Distributed Global Debris Thickness Estimates Reveal Debris Significantly
Impacts Glacier Mass Balance, Geophys. Res. Lett., 48, e2020GL091311,
https://doi.org/10.1029/2020GL091311, 2021.
Rublee, E., Rabaud, V., Konolige, K., and Bradski, G.: ORB: An efficient
alternative to SIFT or SURF, in: Proceedings of the IEEE International
Conference on Computer Vision, 6–13 November 2011, Barcelona, Spain, https://doi.org/10.1109/ICCV.2011.6126544,
2011.
Rusinkiewicz, S. and Levoy, M.: Efficient variants of the ICP algorithm,
Proc. Int. Conf. 3-D Digit. Imaging Model. 3DIM, 28 May 2001–1 June 2001, Quebec City, QC, Canada,
https://doi.org/10.1109/IM.2001.924423, 2001.
Schauwecker, S., Rohrer, M., Huggel, C., Kulkarni, A., Ramanathan, A. L.,
Salzmann, N., Stoffel, M., and Brock, B.: Remotely sensed debris thickness
mapping of Bara Shigri Glacier, Indian Himalaya, J. Glaciol., 61, 675–688,
https://doi.org/10.3189/2015JoG14J102, 2015.
Scherler, D., Bookhagen, B., and Strecker, M. R.: Hillslope-glacier
coupling: The interplay of topography and glacial dynamics in High Asia, J.
Geophys. Res.-Earth Surf., 116, 116.F2, https://doi.org/10.1029/2010JF001751, 2011a.
Scherler, D., Bookhagen, B., and Strecker, M. R.: Spatially variable
response of Himalayan glaciers to climate change affected by debris cover,
Nat. Geosci., 4, 156–159, https://doi.org/10.1038/ngeo1068, 2011b.
Scherler, D., Wulf, H., and Gorelick, N.: Global Assessment of Supraglacial Debris-Cover Extents, Geophys. Res. Lett., 45, 11–798, https://doi.org/10.1029/2018GL080158, 2018.
Shaw, T. E., Brock, B. W., Fyffe, C. L., Pellicciotti, F., Rutter, N., and
Diotri, F.: Air temperature distribution and energy-balance modelling of a
debris-covered glacier, J. Glaciol., 62, 185–198,
https://doi.org/10.1017/jog.2016.31, 2016.
Shukla, A., Gupta, R. P., and Arora, M. K.: Estimation of debris cover and
its temporal variation using optical satellite sensor data: A case study in
Chenab basin, Himalaya, J. Glaciol., 55, 444–452,
https://doi.org/10.3189/002214309788816632, 2009.
Shumway, R. H. and Stoffer, D. S.: Time series analysis and its applications, Vol. 3, New York: Springer, 2000.
Sobrino, J. A. and Cuenca, J.: Angular variation of thermal infrared
emissivity for some natural surfaces from experimental measurements, Appl.
Opt., 38, 3931–3936, https://doi.org/10.1364/ao.38.003931, 1999.
Steiner, J. F., Litt, M., Stigter, E. E., Shea, J., Bierkens, M. F. P., and
Immerzeel, W. W.: The Importance of Turbulent Fluxes in the Surface Energy
Balance of a Debris-Covered Glacier in the Himalayas, Front. Earth Sci., 6, 144,
https://doi.org/10.3389/feart.2018.00144, 2018.
Steiner, J. F., Kraaijenbrink, P. D. A., and Immerzeel, W. W.: Distributed
Melt on a Debris-Covered Glacier: Field Observations and Melt Modeling on
the Lirung Glacier in the Himalaya, Front. Earth Sci., 9, 678375,
https://doi.org/10.3389/feart.2021.678375, 2021.
Stewart, R. L., Westoby, M., Pellicciotti, F., Rowan, A., Swift, D., Brock,
B., and Woodward, J.: Using climate reanalysis data in conjunction with
multi-temporal satellite thermal imagery to derive supraglacial debris
thickness changes from energy-balance modelling, J. Glaciol., 67, 366–384,
https://doi.org/10.1017/jog.2020.111, 2021.
Sullivan, D. G., Fulton, J. P., Shaw, J. N., and Bland, G.: Evaluating the
Sensitivity of an Unmanned Thermal Infrared Aerial System to Detect Water
Stress in a Cotton Canopy, Trans. ASABE, 50, 1963–1969,
https://doi.org/10.13031/2013.24091, 2007.
Swisstopo: https://www.swisstopo.admin.ch/de/geodata/height/alti3d.html#download, last access: 7 July 2021.
Tielidze, L. G., Bolch, T., Wheate, R. D., Kutuzov, S. S., Lavrentiev, I. I., and Zemp, M.: Supra-glacial debris cover changes in the Greater Caucasus from 1986 to 2014, The Cryosphere, 14, 585–598, https://doi.org/10.5194/tc-14-585-2020, 2020.
Torres-Rua, A.: Vicarious calibration of sUAS microbolometer temperature
imagery for estimation of radiometric land surface temperature, Sensors
(Switzerland), 17, 1499, https://doi.org/10.3390/s17071499, 2017.
Van Der Walt, S., Schönberger, J. L., Nunez-Iglesias, J., Boulogne, F., Warner, J. D., Yager, N., Gouillart, E., and Yu, T.: Scikit-image: Image processing in python, PeerJ, 2014, e453, https://doi.org/10.7717/peerj.453, 2014.
Westoby, M. J., Rounce, D. R., Shaw, T. E., Fyffe, C. L., Moore, P. L.,
Stewart, R. L., and Brock, B. W.: Geomorphological evolution of a
debris-covered glacier surface, Earth Surf. Process. Landforms, 45, 3431–3448,
https://doi.org/10.1002/esp.4973, 2020.
Zhang, Y., Fujita, K., Liu, S., Liu, Q., and Nuimura, T.: Distribution of
debris thickness and its effect on ice melt at Hailuogou glacier,
southeastern Tibetan Plateau, using in situ surveys and ASTER imagery, J.
Glaciol., 57, 1147–1157, https://doi.org/10.3189/002214311798843331, 2011.
Short summary
We performed high-resolution debris-thickness mapping using land surface temperature (LST) measured from an unpiloted aerial vehicle (UAV) at various times of the day. LSTs from UAVs require calibration that varies in time. We test two approaches to quantify supraglacial debris cover, and we find that the non-linearity of the relationship between LST and debris thickness increases with LST. Choosing the best model to predict debris thickness depends on the time of the day and the terrain aspect.
We performed high-resolution debris-thickness mapping using land surface temperature (LST)...