Monitoring elevation change of glaciers on Geladandong Mountain using TanDEM-X SAR interferometry
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Glaciers play an important role in the climate system. The elevation change of a glacier is an important parameter in studies of glacier dynamics. Only a few ground-based measurements of high mountain glaciers are available due to their remoteness, high elevation, and complex topography. The acquisition from the German TanDEM-X (TerraSAR-X add-on for Digital Elevation Measurement) SAR imaging configuration provides a reliable data sources for studying the elevation change of glaciers. In this study, the bistatic TanDEM-X data that cover the Geladandong Mountain on the Tibetan Plateau were processed with SAR interferometry technique and the elevation changes of the mountain’s glaciers during 2000–2014 were obtained. The results indicated that although distinct positive and negative elevation changes were found for different glacier tongues, the mean elevation change was about -0.14±0.26 m a-1. Geoscience Laser Altimeter System (GLAS) data were obtained for comparison and verification. The investigation using GLAS data demonstrated the efficacy of the proposed method in determining glacier elevation change. Thus, the presented approach is appropriate for monitoring glacier elevation change and it constitutes a valuable tool for studies of glacier dynamics.
KeywordsElevation change Glacier Synthetic aperture radar interferometry TanDEM-X Geladandong mountain Tibetan Plateau
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This research was supported by the National Science Foundation of China (41590852, 41001264), the International Science & Technology Cooperation Program of China (2010DFB23380), International Partnership Program of Chinese Academy of Sciences (131C11KYSB20160061). The TanDEM-X data are supported by the DLR AO project (GEOL0447). The SRTM DEM and Landsat images has been downloaded free of charge from http://glovis.usgs.gov, ICESat GLAS data were obtained from NASA NSIDC. We greatly appreciate the anonymous reviewers for their constructive comments. We thank Executive Editor-in-Chief QIU Dun-lian for comments and helping improve the manuscript.
- Guo W, Xu J, Liu SY, et al. (2014) The Second Glacier Inventory Dataset of China (Version 1.0). Cold and Arid Regions Science Data Center at Lanzhou. DOI: 10.3972/glacier.001.2013.dbGoogle Scholar
- Hajnsek I, Krieger G, Papathanassiou K, et al. (2010) TanDEMX: First Scientific Experiments during the Commissioning Phase. Proceedings of EUSAR 2010, 8th European Conference on Synthetic Aperture Radar. Aachen, Germany, Germany. pp 1–3.Google Scholar
- Kampes BM, Hanssen RF, Perski Z (2003) Radar Interferometry with Public Domain Tools. Third International Workshop on ERS SAR Interferometry, `FRINGE03’, Frascati, Italy, 1-5 Dec 2003.Google Scholar
- Krieger G, Fiedler H, Hajnsek I, et al. (2005) TanDEM-X: mission concept and performance analysis. 2005 IEEE International Geoscience and Remote Sensing Symposium 4890-4893. DOI: 10.1109/IGARSS.2005.1526770Google Scholar
- Lemoine FG, Kenyon SC, Factor JK, et al. (1998) The Development of the Joint NASA GSFC and the National Imagery and Mapping Agency (NIMA) Geopotential Model EGM96, NASA/TP-1998-206861, July 1998Google Scholar
- Lu AX, Yao TD, Liu S, et al. (2002) Glacier Change in the Geladandong Area of the Tibetan Plateau Monitored by Remote Sensing. Journal of Glaciology and Geocryology 24(5): 559–562. (In Chinese). DOI: 10.3969/j.issn.1000-0240.2002.05.014Google Scholar
- Millan R, Dehecq A, Trouve E, et al. (2015) Elevation changes and X-band ice and snow penetration inferred from TanDEMX data of the Mont-Blanc area. 2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp). IEEE 1-4. DOI: 10.1109/Multi-Temp. 2015. 7245753Google Scholar
- Mohr JJ, Reeh N, Madsen SN (1998) Three-dimensional glacial flow and surface elevation measured with radar interferometry. Nature 291: 273–276. DOI: 10.1038/34635Google Scholar
- Nakagawa H, Murakami M, Fujiwara S, et al. (2000) Land subsidence of the northern Kanto plains caused by ground water extraction detected by JERS-1 SAR interferometry. 2000 IEEE International Geoscience and Remote Sensing Symposium, 2233–2235. DOI: 10.1109/IGARSS.2000.858366Google Scholar
- National Imagery and Mapping Agency (1997) NIMA Technical Report TR8350.2, Department of Defense World Geodetic System 1984, Its Definition and Relationships With Local Geodetic Systems.Google Scholar
- Oerlemans J (1989) Glaciers and Climate Change. Springer, Netherlands. DOI: 10.1007/978-94-015-7823-3Google Scholar
- Shi Y (2008) Concise Glacier Inventory of China. Shanghai Popular Science Press, China. ISBN-13: 9787542731173Google Scholar
- Zhang L, Tang Y, Yang X (2014) Overall and local changing patterns of main glaciers and their responses to climate change in Geladandong area of Yangtze Headwater region during 1969-2012. Arid Land Geography 37(2): 203–213. (In Chinese). DOI: 10.13826/j.cnki.cn65-1103/x.2014.02.011Google Scholar