Articles | Volume 17, issue 3
https://doi.org/10.5194/tc-17-1299-2023
© 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-17-1299-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication: Glacier mapping and change estimation using very high-resolution declassified Hexagon KH-9 panoramic stereo imagery (1971–1984)
Sajid Ghuffar
CORRESPONDING AUTHOR
School of Geography and Sustainable Development, University of St Andrews, St Andrews, UK
Department of Space Science, Institute of Space Technology, Islamabad, Pakistan
Owen King
School of Geography and Sustainable Development, University of St Andrews, St Andrews, UK
Grégoire Guillet
School of Geography and Sustainable Development, University of St Andrews, St Andrews, UK
LASTIG, Univ Gustave Eiffel, ENSG, IGN, Saint-Mande, France
Ewelina Rupnik
Civil and Environmental Engineering, University of Washington, Seattle, WA, USA
School of Geography and Sustainable Development, University of St Andrews, St Andrews, UK
Institute of Geodesy, Graz University of Technology, Graz, Austria
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L. Landrieu, E. Rupnik, S. Oude Elberink, C. Mallet, and N. Paparoditis
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L. Landrieu, E. Rupnik, S. Oude Elberink, C. Mallet, and N. Paparoditis
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 1–5, https://doi.org/10.5194/isprs-annals-V-1-2022-1-2022, https://doi.org/10.5194/isprs-annals-V-1-2022-1-2022, 2022
L. Landrieu, E. Rupnik, S. Oude Elberink, C. Mallet, and N. Paparoditis
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 1–5, https://doi.org/10.5194/isprs-annals-V-2-2022-1-2022, https://doi.org/10.5194/isprs-annals-V-2-2022-1-2022, 2022
L. Landrieu, E. Rupnik, S. Oude Elberink, C. Mallet, and N. Paparoditis
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 1–5, https://doi.org/10.5194/isprs-annals-V-3-2022-1-2022, https://doi.org/10.5194/isprs-annals-V-3-2022-1-2022, 2022
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.
Gregoire Guillet, Owen King, Mingyang Lv, Sajid Ghuffar, Douglas Benn, Duncan Quincey, and Tobias Bolch
The Cryosphere, 16, 603–623, https://doi.org/10.5194/tc-16-603-2022, https://doi.org/10.5194/tc-16-603-2022, 2022
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Surging glaciers show cyclical changes in flow behavior – between slow and fast flow – and can have drastic impacts on settlements in their vicinity.
One of the clusters of surging glaciers worldwide is High Mountain Asia (HMA).
We present an inventory of surging glaciers in HMA, identified from satellite imagery. We show that the number of surging glaciers was underestimated and that they represent 20 % of the area covered by glaciers in HMA, before discussing new physics for glacier surges.
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.
E. Maset, E. Rupnik, M. Pierrot-Deseilligny, F. Remondino, and A. Fusiello
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 33–38, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-33-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-33-2021, 2021
T. Wu, B. Vallet, M. Pierrot-Deseilligny, and E. Rupnik
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 405–412, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-405-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-405-2021, 2021
Andreas Kääb, Tazio Strozzi, Tobias Bolch, Rafael Caduff, Håkon Trefall, Markus Stoffel, and Alexander Kokarev
The Cryosphere, 15, 927–949, https://doi.org/10.5194/tc-15-927-2021, https://doi.org/10.5194/tc-15-927-2021, 2021
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We present a map of rock glacier motion over parts of the northern Tien Shan and time series of surface speed for six of them over almost 70 years.
This is by far the most detailed investigation of this kind available for central Asia.
We detect a 2- to 4-fold increase in rock glacier motion between the 1950s and present, which we attribute to atmospheric warming.
Relative to the shrinking glaciers in the region, this implies increased importance of periglacial sediment transport.
Franz Goerlich, Tobias Bolch, and Frank Paul
Earth Syst. Sci. Data, 12, 3161–3176, https://doi.org/10.5194/essd-12-3161-2020, https://doi.org/10.5194/essd-12-3161-2020, 2020
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This work indicates all glaciers in the Pamir that surged between 1988 and 2018 as revealed by different remote sensing data, mainly Landsat imagery. We found ~ 200 surging glaciers for the entire mountain range and detected the minimum and maximum extents of most of them. The smallest surging glacier is ~ 0.3 km2. This inventory is important for further research on the surging behaviour of glaciers and has to be considered when processing glacier changes (mass, area) of the region.
Cited articles
ALOS: https://www.eorc.jaxa.jp/ALOS/en/dataset/aw3d30/aw3d30_e.htm, last access: 17 March 2023. a
Bhattacharya, A., Bolch, T., Mukherjee, K., King, O., Menounos, B., Kapitsa,
V., Neckel, N., Yang, W., and Yao, T.: High Mountain Asian glacier response
to climate revealed by multi-temporal satellite observations since the 1960s,
Nat. Commun., 12, 1–13, https://doi.org/10.1038/s41467-021-24180-y, 2021. a, b, c
Bolch, T., Pieczonka, T., and Benn, D. I.: Multi-decadal mass loss of glaciers in the Everest area (Nepal Himalaya) derived from stereo imagery, The Cryosphere, 5, 349–358, https://doi.org/10.5194/tc-5-349-2011, 2011. a, b
Bolch, T., Pieczonka, T., Mukherjee, K., and Shea, J.: Brief communication: Glaciers in the Hunza catchment (Karakoram) have been nearly in balance since the 1970s, The Cryosphere, 11, 531–539, https://doi.org/10.5194/tc-11-531-2017, 2017. a, b, c
Burnett, M. G.: Hexagon (KH-9) Mapping Camera Program and Evolution, Center for
the Study of National Reconnaissance, https://www.nro.gov/Portals/65/documents/foia/declass/mapping1.pdf (last access: 17 March 2023), 2012. a
Dehecq, A., Gardner, A. S., Alexandrov, O., McMichael, S., Hugonnet, R., Shean,
D., and Marty, M.: Automated processing of declassified KH-9 Hexagon
satellite images for global elevation change analysis since the 1970s,
Front. Earth Sci., 8, 566802, https://doi.org/10.3389/feart.2020.566802, 2020. a, b, c, d, e, f
Deseilligny, M. P. and Rupnik, E.: Epipolar rectification of a generic
camera, IPOL Journal, in review, https://doi.org/10.5201/ipol, 2020. a
Fischer, M., Huss, M., and Hoelzle, M.: Surface elevation and mass changes of all Swiss glaciers 1980–2010, The Cryosphere, 9, 525–540, https://doi.org/10.5194/tc-9-525-2015, 2015. a
Fowler, M. J.: The archaeological potential of declassified HEXAGON KH-9
panoramic camera satellite photographs, AARG News, 53, 30–36, 2016. a
Geyman, E. C., van Pelt, J. J., W., Maloof, A. C., Aas, H. F., and Kohler, J.:
Historical glacier change on Svalbard predicts doubling of mass loss by 2100,
Nature, 601, 374–379, https://doi.org/10.1038/s41586-021-04314-4, 2022. a
Ghuffar, S., Bolch, T., Rupnik, E., and Bhattacharya, A.: A pipeline for
automated processing of declassified Corona KH-4 (1962–1972) stereo imagery,
IEEE T. Geosci. Remote, 60, 1–14, https://doi.org/10.1109/TGRS.2022.3200151, 2022. a, b, c
Goerlich, F., Bolch, T., Mukherjee, K., and Pieczonka, T.: Glacier mass loss
during the 1960s and 1970s in the Ak-Shirak range (Kyrgyzstan) from multiple
stereoscopic Corona and Hexagon imagery, Remote Sensing, 9, 275, https://doi.org/10.3390/rs9030275, 2017. a, b
Hirschmuller, H.: Stereo processing by semiglobal matching and mutual
information, IEEE T. Pattern Anal.,
30, 328–341, https://doi.org/10.1109/TPAMI.2007.1166, 2007. a
Hugonnet, R., McNabb, R., Berthier, E., Menounos, B., Nuth,
C., Girod, L., Farinotti, D., Huss, M., Dussaillant, I., Brun,
F., and Kääb, A.: Accelerated
global glacier mass loss in the early twenty-first century, Nature, 592,
726–731, https://doi.org/10.1038/s41586-021-03436-z, 2021. a
Huss, M.: Density assumptions for converting geodetic glacier volume change to mass change, The Cryosphere, 7, 877–887, https://doi.org/10.5194/tc-7-877-2013, 2013. a, b
Kääb, A., Leinss, S., Gilbert, A., Bühler, Y., Gascoin, S., Evans,
S. G., Bartelt, P., Berthier, E., Brun, F., Chao, W.-A., Farinotti,
D., Gimbert, F., Guo, W., Huggel, C., Kargel, J. S., Leonard,
G. J., Tian, L., Treichler, D., and Yao, T.: Massive
collapse of two glaciers in western Tibet in 2016 after surge-like
instability, Nat. Geosci., 11, 114–120, https://doi.org/10.1038/s41561-017-0039-7, 2018. a
King, O., Bhattacharya, A., Bhambri, R., and Bolch, T.: Glacial lakes
exacerbate Himalayan glacier mass loss, Sci. Rep.-UK, 9, 1–9, https://doi.org/10.1038/s41598-019-53733-x, 2019. a
Korsgaard, N. J., Nuth, C., Khan, S. A., Kjeldsen, K. K., Bjørk, A. A.,
Schomacker, A., and Kjær, K. H.: Digital elevation model and
orthophotographs of Greenland based on aerial photographs from 1978–1987,
Sci. Data, 3, 1–15, https://doi.org/10.1038/sdata.2016.32, 2016. a
Malz, P., Meier, W., Casassa, G., Jaña, R., Skvarca, P., and Braun, M. H.:
Elevation and mass changes of the Southern Patagonia Icefield derived from
TanDEM-X and SRTM data, Remote Sensing, 10, 188, https://doi.org/10.3390/rs10020188, 2018. a
Maurer, J. and Rupper, S.: Tapping into the Hexagon spy imagery database: A new
automated pipeline for geomorphic change detection,
ISPRS J. Photogramm., 108, 113–127, https://doi.org/10.1016/j.isprsjprs.2015.06.008, 2015. a
Maurer, J. M., Schaefer, J., Rupper, S., and Corley, A.: Acceleration of ice
loss across the Himalayas over the past 40 years, Sci. Adv., 5,
eaav7266, https://doi.org/10.1126/sciadv.aav7266, 2019. a, b
McNabb, R., Nuth, C., Kääb, A., and Girod, L.: Sensitivity of glacier volume change estimation to DEM void interpolation, The Cryosphere, 13, 895–910, https://doi.org/10.5194/tc-13-895-2019, 2019. a, b
MountCryo: Data, http://mountcryo.org/datasets, last access: 17 March 2023. a
Nuth, C. and Kääb, A.: Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change, The Cryosphere, 5, 271–290, https://doi.org/10.5194/tc-5-271-2011, 2011. a
Pfeifer, N., Mandlburger, G., Otepka, J., and Karel, W.: OPALS–A framework for
Airborne Laser Scanning data analysis, Computers,
Environment and Urban Systems, 45, 125–136, https://doi.org/10.1016/j.compenvurbsys.2013.11.002, 2014. a
Pieczonka, T. and Bolch, T.: Region-wide glacier mass budgets and area changes
for the Central Tien Shan between 1975 and 1999 using Hexagon KH-9
imagery, Global Planet. Change, 128, 1–13, https://doi.org/10.1016/j.gloplacha.2014.11.014, 2015. a, b, c, d
Pierrot-Deseilligny, M., Jouin, D., Belvaux, J., Maillet, G., Girod, L.,
Rupnik, E., Muller, J., Daakir, M., Choqueux, G., and Deveau, M.: Micmac,
apero, pastis and other beverages in a nutshell, Institut Géographique
National, 2014. a
Rolstad, C., Haug, T., and Denby, B.: Spatially integrated geodetic glacier
mass balance and its uncertainty based on geostatistical analysis:
application to the western Svartisen ice cap, Norway, J. Glaciol.,
55, 666–680, https://doi.org/10.3189/002214309789470950, 2009. a
Sarlin, P.-E., DeTone, D., Malisiewicz, T., and Rabinovich, A.: Superglue:
Learning feature matching with graph neural networks, in: Proceedings of the
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 13–19 June 2020, Los Alamitos, CA, USA,
IEEE Computer Society, 4938–4947, https://doi.org/10.1109/CVPR42600.2020.00499, 2020. a
Tadono, T., Ishida, H., Oda, F., Naito, S., Minakawa, K., and Iwamoto, H.: Precise global DEM generation by ALOS PRISM, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, II4, 71–76, https://doi.org/10.5194/isprsannals-II-4-71-2014, 2014. a
USGS: USGS EROS Archive – Declassified Data – Declassified Satellite Imagery – 2, USGS [data set], https://doi.org/10.5066/F74X5684, 2018a. a
USGS: USGS EROS Archive – Declassified Data – Declassified Satellite Imagery – 1, USGS [data set], https://doi.org/10.5066/F78P5XZM, 2018b. a
USGS: USGS EROS Archive – Declassified Data – Declassified Satellite Imagery – 3, USGS [data set], https://doi.org/10.5066/F7WD3Z10, 2018c. a
USGS: USGS EROS Archive – Landsat Archives – Landsat 7 Enhanced Thematic Mapper Plus Collection 2 Level-1 Data, USGS [data set], https://doi.org/10.5066/P9TU80IG, 2020. a
USGS: EarthExplorer, https://earthexplorer.usgs.gov,
last access: 14 March 2023. a
Zemp, M., Huss, M., Thibert, E., Eckert, N., McNabb, R., Huber, J.,
Barandun, M., Machguth, H., Nussbaumer, S. U., Gärtner-Roer, I., Thomson, L.,
Paul, F., Maussion, F., Kutuzov, S., and Cogley, J. G.: Global
glacier mass changes and their contributions to sea-level rise from 1961 to
2016, Nature, 568, 382–386, https://doi.org/10.1038/s41586-019-1071-0, 2019. a
Zhou, Y., Li, Z., and Li, J.: Slight glacier mass loss in the Karakoram region
during the 1970s to 2000 revealed by KH-9 images and SRTM DEM, J.
Glaciol., 63, 331–342, https://doi.org/10.1017/jog.2016.142, 2017. a, b, c, d
Zhou, Y., Chen, G., Qiao, X., and Lu, L.: Mining High-Resolution KH-9 Panoramic
Imagery to Determine Earthquake Deformation: Methods and Applications, IEEE
T. Geosci. Remote, 60, 4506012, https://doi.org/10.1109/TGRS.2021.3116441, 2021. a
Short summary
The panoramic cameras (PCs) on board Hexagon KH-9 satellite missions from 1971–1984 captured very high-resolution stereo imagery with up to 60 cm spatial resolution. This study explores the potential of this imagery for glacier mapping and change estimation. The high resolution of KH-9PC leads to higher-quality DEMs which better resolve the accumulation region of glaciers in comparison to the KH-9 mapping camera, and KH-9PC imagery can be useful in several Earth observation applications.
The panoramic cameras (PCs) on board Hexagon KH-9 satellite missions from 1971–1984 captured...