Articles | Volume 10, issue 1
https://doi.org/10.5194/tc-10-65-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-10-65-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
18 Jan 2016
Research article |
| 18 Jan 2016
Comparison of multiple glacier inventories with a new inventory derived from high-resolution ALOS imagery in the Bhutan Himalaya
Earth Observation Research Center, Japan Aerospace Exploration Agency, Tsukuba, Japan
K. Fujita
Graduate School of Environmental Studies, Nagoya University, Nagoya, Japan
Graduate School of Environmental Studies, Nagoya University, Nagoya, Japan
T. Nuimura
Faculty of Risk and Crisis Management, Chiba Institute of Science, Choshi, Japan
T. Tadono
Earth Observation Research Center, Japan Aerospace Exploration Agency, Tsukuba, Japan
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29 citations as recorded by crossref.
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- Surface lowering of the debris-covered area of Kanchenjunga Glacier in the eastern Nepal Himalaya since 1975, as revealed by Hexagon KH-9 and ALOS satellite observations D. Lamsal et al. 10.5194/tc-11-2815-2017
- Monitoring glacier surges in the Kongur Tagh area of the Tibetan Plateau using Sentinel-1 SAR data Q. Zhu et al. 10.1016/j.geomorph.2021.107869
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- Glacier thickness and volume estimation in the Upper Indus Basin using modeling and ground penetrating radar measurements S. Romshoo et al. 10.1017/aog.2024.2
- The GAMDAM Glacier Inventory: a quality controlled inventory of Asian glaciers T. Nuimura et al. 10.5194/tcd-8-2799-2014
28 citations as recorded by crossref.
- Glacier area shrinkage in eastern Nepal Himalaya since 1992 using high-resolution inventories from aerial photographs and ALOS satellite images S. OJHA et al. 10.1017/jog.2016.61
- Ice Mass Loss in the Central Andes of Argentina Between 2000 and 2018 Derived From a New Glacier Inventory and Satellite Stereo-Imagery L. Ferri et al. 10.3389/feart.2020.530997
- Spatio-Temporal Distribution of Supra-Glacial Ponds and Ice Cliffs on Verde Glacier, Chile T. Loriaux & L. Ruiz 10.3389/feart.2021.681071
- Simulations of black carbon (BC) aerosol impact over Hindu Kush Himalayan sites: validation, sources, and implications on glacier runoff S. Santra et al. 10.5194/acp-19-2441-2019
- Error sources and guidelines for quality assessment of glacier area, elevation change, and velocity products derived from satellite data in the Glaciers_cci project F. Paul et al. 10.1016/j.rse.2017.08.038
- Lake Inventory and Evolution of Glacial Lakes in the Nubra-Shyok Basin of Karakoram Range R. Kumar et al. 10.1007/s41748-019-00129-6
- High-resolution inventory to capture glacier disintegration in the Austrian Silvretta A. Fischer et al. 10.5194/tc-15-4637-2021
- Glacial Lake Area Change and Potential Outburst Flood Hazard Assessment in the Bhutan Himalaya S. Rinzin et al. 10.3389/feart.2021.775195
- Evaluating the Scale and Potential of GLOF in the Bhutan Himalayas Using a Satellite-Based Integral Glacier–Glacial Lake Inventory H. Nagai et al. 10.3390/geosciences7030077
- Brief communication: Updated GAMDAM glacier inventory over high-mountain Asia A. Sakai 10.5194/tc-13-2043-2019
- Identification of Unstable Glacier Flow in the Western Tibetan Plateau and Karakoram Using Machine Learning Q. Zhu et al. 10.1029/2022JF006623
- Contrasting thinning patterns between lake- and land-terminating glaciers in the Bhutanese Himalaya S. Tsutaki et al. 10.5194/tc-13-2733-2019
- The Greater Caucasus Glacier Inventory (Russia, Georgia and Azerbaijan) L. Tielidze & R. Wheate 10.5194/tc-12-81-2018
- Glacier mass balance in the Qinghai–Tibet Plateau and its surroundings from the mid-1970s to 2000 based on Hexagon KH-9 and SRTM DEMs Y. Zhou et al. 10.1016/j.rse.2018.03.020
- Recent recession and potential future lake formation on Drang Drung glacier, Zanskar Himalaya, as assessed with earth observation data and glacier modelling I. Rashid & U. Majeed 10.1007/s12665-018-7601-5
- Spatiotemporal quantification of key environmental changes in Stok and Kang Yatze regions of Ladakh Himalaya, India M. Soheb et al. 10.1080/10106049.2022.2060312
- Monitoring glacial lake outburst flood susceptibility using Sentinel-1 SAR data, Google Earth Engine, and persistent scatterer interferometry S. Wangchuk et al. 10.1016/j.rse.2022.112910
- Multitemporal glacier inventory revealing four decades of glacier changes in the Ladakh region M. Soheb et al. 10.5194/essd-14-4171-2022
- Topographic controls on the debris-cover extent of glaciers in the Eastern Himalayas: Regional analysis using a novel high-resolution glacier inventory S. Ojha et al. 10.1016/j.quaint.2017.08.007
- Measuring and inferring the ice thickness distribution of four glaciers in the Tien Shan, Kyrgyzstan L. Van Tricht et al. 10.1017/jog.2020.104
- An Assessment of Glacier Inventories for the Third Pole Region X. He & S. Zhou 10.3389/feart.2022.848007
- Cold region Quaternary science for earth surface processes and environmental changes Y. Kariya 10.4116/jaqua.58.29
- GLOF hazard, exposure, vulnerability, and risk assessment of potentially dangerous glacial lakes in the Bhutan Himalaya S. Rinzin et al. 10.1016/j.jhydrol.2023.129311
- Surface lowering of the debris-covered area of Kanchenjunga Glacier in the eastern Nepal Himalaya since 1975, as revealed by Hexagon KH-9 and ALOS satellite observations D. Lamsal et al. 10.5194/tc-11-2815-2017
- Monitoring glacier surges in the Kongur Tagh area of the Tibetan Plateau using Sentinel-1 SAR data Q. Zhu et al. 10.1016/j.geomorph.2021.107869
- Perception of climate change from the Himalayan ‘cold desert’ Ladakh, India S. Ali et al. 10.54991/jop.2022.35
- Combined use of multi-source satellite imagery and deep learning for automated mapping of glacial lakes in the Bhutan Himalaya X. Xu et al. 10.1016/j.srs.2024.100157
- Glacier thickness and volume estimation in the Upper Indus Basin using modeling and ground penetrating radar measurements S. Romshoo et al. 10.1017/aog.2024.2
1 citations as recorded by crossref.
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Short summary
Digital glacier inventories are invaluable data sets for revealing the characteristics of glacier distribution. However, quantitative comparison of present inventories was not performed. Here, we present a new inventory manually delineated from Advanced Land Observing Satellite (ALOS) imagery and compare it with existing inventories for the Bhutan Himalaya. Quantification of overlapping among available glacier outlines suggests consistency and recent improvement of their delineation quality.
Digital glacier inventories are invaluable data sets for revealing the characteristics of...
