Articles | Volume 13, issue 11
https://doi.org/10.5194/tc-13-2835-2019
© Author(s) 2019. 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-13-2835-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Nov 2019
Research article |
| 07 Nov 2019
| 07 Nov 2019
Detecting dynamics of cave floor ice with selective cloud-to-cloud approach
Jozef Šupinský
CORRESPONDING AUTHOR
Institute of Geography, Pavol Jozef Šafárik University,
Košice, Jesenná 5, 040 01, Slovakia
Ján Kaňuk
Institute of Geography, Pavol Jozef Šafárik University,
Košice, Jesenná 5, 040 01, Slovakia
Zdenko Hochmuth
Institute of Geography, Pavol Jozef Šafárik University,
Košice, Jesenná 5, 040 01, Slovakia
Michal Gallay
Institute of Geography, Pavol Jozef Šafárik University,
Košice, Jesenná 5, 040 01, Slovakia
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J. Kaňuk, S. Zubal, J. Šupinský, J. Šašak, M. Bombara, V. Sedlák, M. Gallay, J. Hofierka, and K. Onačillová
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W15, 35–40, https://doi.org/10.5194/isprs-archives-XLII-4-W15-35-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W15-35-2019, 2019
Vladimír Sedlák, Katarína Onačillová, Michal Gallay, Jaroslav Hofierka, Ján Kaňuk, Ján Šašak, and Jozef Šupinský
Abstr. Int. Cartogr. Assoc., 1, 326, https://doi.org/10.5194/ica-abs-1-326-2019, https://doi.org/10.5194/ica-abs-1-326-2019, 2019
J. Hofierka, M. Gallay, J. Kaňuk, J. Šupinský, and J. Šašak
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W7, 7–12, https://doi.org/10.5194/isprs-archives-XLII-4-W7-7-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W7-7-2017, 2017
Maria Teresa Melis, Massimo Musacchio, Marco Casu, Claudia Collu, Mariana Correa, Lorenzo Sedda, Malvina Silvestri, Fabrizia Buongiorno, Federico Rabuffi, Stefano Andreucci, Jan Kanuk, Michal Gallay, Katarina Onacillova, Jan Sasak, Stefano Naitza, Giovanni Fantini, Francesco Dessì, and Salvatore Noli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 337–343, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-337-2024, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-337-2024, 2024
J. Kaňuk, S. Zubal, J. Šupinský, J. Šašak, M. Bombara, V. Sedlák, M. Gallay, J. Hofierka, and K. Onačillová
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W15, 35–40, https://doi.org/10.5194/isprs-archives-XLII-4-W15-35-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W15-35-2019, 2019
Vladimír Sedlák, Katarína Onačillová, Michal Gallay, Jaroslav Hofierka, Ján Kaňuk, Ján Šašak, and Jozef Šupinský
Abstr. Int. Cartogr. Assoc., 1, 326, https://doi.org/10.5194/ica-abs-1-326-2019, https://doi.org/10.5194/ica-abs-1-326-2019, 2019
J. Hofierka, M. Gallay, J. Kaňuk, J. Šupinský, and J. Šašak
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Michal Gallay, Christoph Eck, Carlo Zgraggen, Ján Kaňuk, and Eduard Dvorný
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Michal Gallay, Zdenko Hochmuth, Ján Kaňuk, and Jaroslav Hofierka
Hydrol. Earth Syst. Sci., 20, 1827–1849, https://doi.org/10.5194/hess-20-1827-2016, https://doi.org/10.5194/hess-20-1827-2016, 2016
Short summary
Short summary
This paper presents a novel approach that provides evidence of
environmental conditions during the formation of a cave inferred from
measuring the geometry of the cave surface. We focused on winding
channels with associated cave landforms carved high up in the cave
ceiling inaccessible to direct inspection by speleologists. This was
possible by coupling 3-D laser scanning of the cave and analyzing the
cave morphology by the tools used in 3-D computer graphics and digital
terrain analysis.
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
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
High-resolution debris-cover mapping using UAV-derived thermal imagery: limits and opportunities
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
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Detecting seasonal ice dynamics in satellite images
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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.
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.
Deniz Tobias Gök, Dirk Scherler, and Leif Stefan Anderson
The Cryosphere, 17, 1165–1184, https://doi.org/10.5194/tc-17-1165-2023, https://doi.org/10.5194/tc-17-1165-2023, 2023
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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.
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.
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.
Dyre O. Dammann, Leif E. B. Eriksson, Son V. Nghiem, Erin C. Pettit, Nathan T. Kurtz, John G. Sonntag, Thomas E. Busche, Franz J. Meyer, and Andrew R. Mahoney
The Cryosphere, 13, 1861–1875, https://doi.org/10.5194/tc-13-1861-2019, https://doi.org/10.5194/tc-13-1861-2019, 2019
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We validate TanDEM-X interferometry as a tool for deriving iceberg subaerial morphology using Operation IceBridge data. This approach enables a volumetric classification of icebergs, according to volume relevant to iceberg drift and decay, freshwater contribution, and potential impact on structures. We find iceberg volumes to generally match within 7 %. These results suggest that TanDEM-X could pave the way for future interferometric systems of scientific and operational iceberg classification.
Cited articles
Avian, M. and Bauer, A.: First results on monitoring glacier dynamics with
the aid of Terrestrial Laser Scanning on Pasterze Glacier (Hohe Tauern,
Austria), Grazer Schr. Geogr. Raumf., 41, 27–36,
2006.
Avian, M., Kellerer-Pirklbauer, A., and Lieb, G.: Geomorphic consequences of
rapid deglaciation at Pasterze glacier, Hohe Tauern range, Austria, between
2010 and 2013 based on repeated terrestrial laser scanning data,
Geomorphology, 310, 1–14, https://doi.org/10.1016/j.geomorph.2018.02.003, 2018.
Barnhart, B. T. and Crosby, T. B.: Comparing Two Methods of Surface Change
Detection on an Evolving Thermokarst Using High-Temporal-Frequency
Terrestrial Laser Scanning, Selawik River, Alaska, Remote Sens., 5,
2813–2837, https://doi.org/10.3390/rs5062813, 2013.
Bauer, A., Paar, G., and Kaufmann, V.: Terrestrial laser scanning for rock
glacier monitoring, in: Permafrost, edited by: Phillips, M., Springman,
S. M., and Arenson, L. U., Taylor and Francis, London, 55–60, 2003.
Bella, P.: Chapter 4.2 – Ice surface morphology, in: Ice Caves, edited by:
Perşoiu, A. and Lauritzen, S. E., Elsevier, 69–96,
https://doi.org/10.1016/B978-0-12-811739-2.00029-2, 2018.
Bella, P. and Zelinka, J.: Chapter 29 – Ice Caves in Slovakia, in: Ice
Caves, edited by: Perşoiu, A., Lauritzen, S. E., Elsevier, 657–689,
https://doi.org/10.1016/B978-0-12-811739-2.00029-2, 2018.
Bender, M., Sowers, T., and Brook, E.: Gases in ice cores, P. Natl. Acad. Sci. USA, 94,
8343–8349, https://doi.org/10.1073/pnas.94.16.8343, 1997.
Buchroithner, M. F., Milius, J., and Petters, C.: 3D Surveying and
visualisation of the biggest ice Cave on Earth, in: Proceedings 25th
International Cartographic Conference, Paris, France, 3–8 July 2011.
Buchroithner, M. F., Petters, C., and Pradhan, B.: Three-dimensional
visualisation of the worldclass-prehistoric site of the Niah Great Cave,
Borneo, Malaysia, in: Interdisciplinar Conference on Digital Cultural
Heritage, edited by: Kremens, H., Saint-Dié-des-Vosges, 2–4 July, 2012.
Buzjak, N., Bočić, N., Paar, D., Bakšić, D., and
Dubovečak, V.: Chapter 16 – Ice Caves in Croatia, in: Ice Caves, edited
by: Perşoiu, A. and Lauritzen, S. E., Elsevier, 335–369,
https://doi.org/10.1016/B978-0-12-811739-2.00016-4, 2018.
Collins, B., Corbett, S., Fairly, H., Minasian, D., Kayen, R., Dealy, T.,
and Bedford, D.: Topographic Change Detection at Select Archeological Sites
in Grand Canyon National Park, Arizona, 2007–2010: US Geologic Survey
Scientific Investigation Report 2012–5133, 77 pp., 2012.
Cosso, T., Ferrando, I., and Orlando, A.: Surveying and mapping a cave using
3D laser scanner: the open challenge with free and open source software,
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5, 181-186,
https://doi.org/10.5194/isprsarchives-XL-5-181-2014, 2014.
Deems, J., Painter, T., and Finnegan, D.: LiDAR measurement of snow depth: a
review, J. Glaciol., 215, 467–479, https://doi.org/10.3189/2013JoG12J154,
2013.
De Waele, J., Fabbri, S., Santagata, T., Chiarini, V., Columbu, A., and
Pisani, L.: Geomorphological and speleogenetical observations using
terrestrial laser scanning and 3D photogrammetry in a gypsum cave (Emilia
Romagna, N. Italy), Geomorphology, 319, 47–61,
https://doi.org/10.1016/j.geomorph.2018.07.012, 2018.
Droppa, A.: Gombasecká jaskyňa [Gombasecká cave], Šport,
Bratislava, 115 pp., 1962.
Fabbri, S., Sauro, F., Santagata, T., Rossi, G., and De Waele, J.:
High-resolution 3-D mapping using terrestrial laser scanning as a tool for
geomorphological and speleogenetical studies in caves: An example from the
Lessini mountains (North Italy), Geomorphology, 280, 16–29,
https://doi.org/10.1016/j.geomorph.2016.12.001, 2017.
Faško, P. and Šťastný, P.: Mean annual precipitation totals,
in: Landscape Atlas of the Slovak Republic, Ministry of Environment of the
Slovak Republic, Bratislava/Slovak Environmental Agency, Banská
Bystrica, Map No. 54, p. 99, 2002.
Fischer, M., Huss, M., Kummert, M., and Hoelzle, M.: Application and validation of long-range terrestrial laser scanning to monitor the mass balance of very small glaciers in the Swiss Alps, The Cryosphere, 10, 1279–1295, https://doi.org/10.5194/tc-10-1279-2016, 2016.
Fuhrmann, K.: Monitoring the disappearance of a perennial ice deposit in
Merrill Cave, J. Cave Karst Stud., 69, 256–265, 2007.
Gabbud, C., Micheletti, N., and Lane, S. N.: Lidar measurement of surface
melt for a temperate Alpine glacier at the seasonal and hourly scales,
J. Glaciol., 229, 963–974, https://doi.org/10.3189/2015JoG14J226, 2015.
Gallay, M., Kaňuk, J., Hochmuth, Z., Meneely, J., Hofierka, J., and
Sedlák, V.: Large-scale and high-resolution 3-D cave mapping by
terrestrial laser scanning: a case study of the Domica Cave, Slovakia,
Int. J. Speleol., 44, 277–291,
https://doi.org/10.5038/1827-806X.44.3.6, 2015.
Gallay, M., Hochmuth, Z., Kanuk, J., and Hofierka, J.: Geomorphometric analysis of cave ceiling channels mapped with 3-D terrestrial laser scanning, Hydrol. Earth Syst. Sci., 20, 1827–1849, https://doi.org/10.5194/hess-20-1827-2016, 2016.
Gašinec, J., Gašincová, S., Černota, P., and
Staňková, H.: Uses of Terrestrial Laser Sanning in Monitoring of
Ground Ice within Dobšinská Ice Cave, J. Polish Mineral
Eng. Soc., 30, 31–42, 2012.
Gašinec, J., Gašincová, S., Zelizňaková, V.,
Palková, J., and Kuzevičová, Ž.: Analysis of Geodetic
Network Established Inside the Dobšinská Ice Cave Space/Analýza Geodetickej Siete Zriadenej V Priestoroch Dobšinskej ľadovej
Jaskyne, GeoScience Eng., 60, 45–54, https://doi.org/10.2478/gse-2014-0005, 2014.
Girardeau-Montaut, D.: CloudCompare – 3D point cloud and mesh processing
software. Open Source Project, available at: https://www.danielgm.net/cc/ (last access: 4 November 2019), 2018.
Gómez-Lende, M. and Sánchez-Fernández, M.: Cryomorphological
Topographies in the Study of Ice Caves, Geosciences, 8, 250–274,
https://doi.org/10.3390/geosciences8080274, 2018.
Gonzalez-Aguilera, D., Muoz, A. L., Lahoz, J. G., Herrero, J. S., Corchon,
M. S., and Garcia, E.: Recording and modeling Paleolithic caves through laser
scanning, in: Proceedings of International Conference on Advanced Geographic
Information Systems & Web Services, Cancun, 19–26, 2009.
Hoffmeister, D., Zellmann, S., Kindermann, K., Pastoors, A., Lang, U.,
Bubenzer, O., Weniger, G. C., and Bareth, G.: Geoarchaeological site
documentation and analysis of 3D data derived by terrestrial laser scanning,
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5, 173–179,
https://doi.org/10.5194/isprsannals-II-5-173-2014, 2014.
Idrees, M. O. and Pradhan, B.: 2016 – A decade of modern cave surveying with
terrestrial laser scanning: A review of sensors, method and application
development, Int. J. Speleol., 45, 71–88,
https://doi.org/10.5038/1827-806X.45.1.1923, 2016.
Jörg, P., Fromm, R., Sailer, R., and Schaffhauser, A.: Measuring snow
depth with a terrestrial laser ranging system, in: Proceedings of the 2006
International Snow Science Workshop, Telluride, Colorado, 452–460, 2006.
Kaasalainen, S., Kaartinen, H., and Kukko, A.: Snow cover change detection
with laser scanning range and brightness measurements, EARSeL eProceedings,
7, 133–141, 2008.
Kamintzis, J., Jones, P. P. J., Irvine-Fynn, T., Holt, O., Bunting, P.,
Jennings, S., Porter, P. R., and Hubbard, B.: Assessing the applicability of
terrestrial laser scanning for mapping englacial conduits, J.
Glaciol., 243, 1–12, https://doi.org/10.1017/jog.2017.81, 2018.
Kazhdan, M. and Hoppe, H.: Screened Poisson surface reconstruction, ACM
Trans. Graph. 32, 29, https://doi.org/10.1145/2487228.2487237, 2013.
Kern, Z: Chapter 5 – Dating Cave Ice Deposits in: Ice Caves, edited by:
Perşoiu, A. and Lauritzen, S. E., Elsevier, 109–122, https://doi.org/10.1016/B978-0-12-811739-2.00005-X, 2018.
Kern, Z. and Perşoiu, A.: Cave ice – the imminent loss of untapped
mid-latitude cryospheric palaeoenvironmental archives, Quaternary Sci.
Rev., 67, 1–7, https://doi.org/10.1016/j.quascirev.2013.01.008, 2013.
Kern, Z. and Thomas, S.: Ice level changes from seasonal to decadal
time-scales observed in lava tubes, lava beds national monument, NE
California, USA, Geogr. Fis. Din. Quat., 37, 151–162, 2014.
Kern, Z., Bočić, N., and Sipos, G.: Radiocarbon-dated vegetal
remains from the cave ice deposits of Velebit mountain, Croatia,
Radiocarbon, 60, 1391–1402, https://doi.org/10.1017/RDC.2018.108, 2018.
Lague, D., Brodu, N., and Leroux, J.: Accurate 3D comparison of complex
topography with terrestrial laser scanner: Application to the Rangitikei
canyon (N-Z), ISPRS J. Photogramm., 82, 10-26,
https://doi.org/10.1016/j.isprsjprs.2013.04.009, 2013.
Lapin, M., Faško, P., Melo, M., Šťastný, P., and Tomain, J.:
Climatic regions, in: Landscape Atlas of the Slovak Republic, Ministry of
Environment of the Slovak Republic, Bratislava/Slovak Environmental
Agency, Banská Bystrica, map No. 27, p. 95, 2002.
Lerma, L. J., Navarro, S., Cabrelles, M., and Villaverde, V.: Terrestrial
laser scanning and close range photogrammetry for 3D archaeological
documentation: the Upper Palaeolithic Cave of Parpalló as a case study,
J. Archaeol. Sci., 37, 499–507,
https://doi.org/10.1016/j.jas.2009.10.011, 2010.
Luetscher, M. and Jeannin, P.-Y.: A process-based classification of alpine
ice caves, Theor. Appl. Karstology, 17, 5–10, 2004.
Luetscher, M., Bolius, D., Schwikowski, M., Schotterer, U., and Smart, P. L.:
Comparison of techniques for dating of subsurface ice from Monlesi ice cave,
Switzerland, J. Glaciol., 53, 374–384,
https://doi.org/10.3189/002214307783258503, 2007.
Maggi, V. Colucci, R. R., Scoto, F., Giudice, G., and Randazzo, L.: Chapter
19 – Ice Caves in Italy, in: Ice Caves, edited by: Perşoiu, A., Lauritzen,
S. E., Elsevier, 399–423, https://doi.org/10.1016/B978-0-12-811739-2.00019-X, 2018.
Mavlyudov, B. R.: Chapter 4.1 – Ice Genesis and Types of Ice Caves, in: Ice
Caves edited by: Perşoiu, A. and Lauritzen, S. E., 33–68,
https://doi.org/10.1016/B978-0-12-811739-2.00032-2, 2018.
May, B., Spötl, C., Wagenbach, D., Dublyansky, Y., and Liebl, J.: First investigations of an ice core from Eisriesenwelt cave (Austria), The Cryosphere, 5, 81–93, https://doi.org/10.5194/tc-5-81-2011, 2011.
Nešić, D. and Ćalić, J.: Chapter 27 – Ice Caves in Serbia,
in: Ice Caves, edited by: Perşoiu, A. and Lauritzen, S. E., Elsevier, 611–624,
https://doi.org/10.1016/B978-0-12-811739-2.00027-9, 2018.
Ondrej, Z.: Mikroklíma Silickej ľadnice a jej vplyv na zmeny ľadovej
výplne [Microclimate of the Silická ľadnica cave and its influence
on changes in ice filling], Diploma thesis, Univerzita P.J. Šafárika
v Košiciach PF UPJŠ ÚGE, 91 pp., 2014.
Perşoiu, A.: Chapter 4.3 – Ice Dynamics in Caves, in: Ice Caves, edited by:
Perşoiu, A. and Lauritzen, S. E., Elsevier, 97–108,
https://doi.org/10.1016/B978-0-12-811739-2.00034-6, 2018.
Perşoiu, A. and Lauritzen, S. E.: Ice Caves, Elsevier, p. 752,
https://doi.org/10.1016/C2016-0-01961-7, 2018.
Perşoiu, A. and Pazdur, A.: Ice genesis and its long-term mass balance and dynamics in Scarisoara Ice Cave, Romania, The Cryosphere, 5, 45–53, https://doi.org/10.5194/tc-5-45-2011, 2011.
Pfennigbauer, M., Wolf, C., Weinkopf, J., and Ullrich, A.: Online waveform
processing for demanding target situations. In Laser Radar Technology and
Applications XIX; and Atmospheric Propagation XI (Vol. 9080, p. 90800J).
International Society for Optics and Photonics, 2014.
Pflitsch, A., Schörghofer, N., Smith, S. M., and Holmgren, D.: Massive
Ice Loss from the Mauna Loa Icecave, Hawaii, Arc. Antarc. Alpine
Res., 48, 33–43, https://doi.org/10.1657/AAAR0014-095, 2016.
Prokop, A.: Assessing the applicability of terrestrial laser scanning for
spatial snow depth measurements, Cold Reg. Sci. Technol., 54, 155–163,
https://doi.org/10.1016/j.coldregions.2008.07.002, 2008.
Rajman, L., Roda, Š., Roda Jr., Š., and Ščuka, J.:
Termodynamický režim Silickej ľadnice [Thermodynamic regime of the
Silická ľadnica Cave], Slovenský kras, 25, 29–63, 1987.
Riegl Laser Measurement Systems GmbH, Austria: 3D Terrestrial laser scanner
Riegl VZ-400/Riegl VZ-1000/Riegl VZ-2000 General Description and Data
Interfaces, 2015.
Roda, Š., Rajman, L., and Erdös, M.: Výskum mikroklímy a
dynamiky zaľadnenia v Silickej ľadnici [Research of microclimate and
dynamics of the glaciation of Silická ľadnica Cave], Slovenský kras, 12, 157–174, 1974.
Rüther, H., Chazan, M., Schroeder, R., Neeser, R., Held, C., Walker,
J. S., Matmon, A., and Horwitz, K. L.: Laser scanning for conservation and
research of African cultural heritage sites: the case study of Wonderwerk
Cave, South Africa, J. Archaeol. Sci., 36, 1847–1856,
https://doi.org/10.1016/j.jas.2009.04.012, 2009.
Schuetz, M.: Potree: Rendering Large PointClouds in Web Browsers. Diploma
thesis, Vienna University of Technology, 92 pp., 2016.
SHMÚ: Slovenský hydrometeorologický úrad [Slovak hydrometeorological institute], Temperature and precipitation records for the Silica meteorological station from 05/2015 to 04/2019, 2019.
Silvestre, I., Rodrigues, I. J., Figueiredo, M., and Veiga-Pires, C.:
High-resolution digital 3D models of Algar do Penico Chamber:limitations,
challenges, and potential, Int. J. Speleol., 44,
25–35, https://doi.org/10.5038/1827-806X.44.1.3, 2014.
Stankovič, J. and Horváth, P.: Jaskyne Slovenského krasu v
živote Viliama Rozložníka [Caves of the Slovak karst in live of
Viliam Rozložnik], Speleoklub Minotaurus, Rožňava, 190 pp.,
2004.
Šupinský, J.: TLS time series of Silická l'adnica cave, available at: https://geografia.science.upjs.sk/webshared/Laspublish/Ladnica/Silicka_ladnica_All.html, last access: 4 November 2019.
Ullrich, A., Schwarz, R., and Kager, H.: Using hybrid multi-station
adjustment for an integrated camera laser-scanner system, Optical 3-D
Measurement Techniques IV, 1, 298–305, 2003.
Vosselman, G. and Maas, H. G.: Airborne and terrestrial laser scanning,
Whittles Publishing, Dunbeath, p. 318, 2010.
Xu, C., Li, Z., Li, H., Wang, F., and Zhou, P.: Long-range terrestrial laser scanning measurements of annual and intra-annual mass balances for Urumqi Glacier No. 1, eastern Tien Shan, China, The Cryosphere, 13, 2361–2383, https://doi.org/10.5194/tc-13-2361-2019, 2019.
Short summary
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.
Cave ice formations can be considered an indicator of long-term changes in the landscape. Using...
