Abstract
This paper focuses on experiences gained by creating a landslide inventory map for a study area of approx. 850 km2 near the city of Tianshui in Gansu province, Western China. The study area consists of a Loess landscape that is strongly anthropogenic transformed by terraced agriculture and is interspersed by mainly earthquake triggered landslides. Two different approaches were performed to establish an inventory map of landslides: Mapping landslides from field based studies and mapping landslides from a DTM derived from a Pléiades satellite image pair. Pléiades images offer a panchromatic ground sampling distance of 0.5 m which enabled us to create a Digital Terrain Model (DTM) with a resolution of 1.0 m. The methodologies of these two landslide mapping approaches are presented and respective results are compared showing advantages and disadvantages of each approach. One of the main results of the project was to demonstrate the applicability and the effectiveness of DTM mapping in Loess sediments of Western China. In comparison to field mapping, the DTM inventory is at least of equal quality as the field mapped inventory because of its consistency and completeness. DTM mapping is also a much more cost efficient tool, especially when looking at mapping larger areas in remote locations in Western China, as well as those areas which are difficult to access.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ardizzone F, Cardinali M, Carrara A, Guzzetti F, Reichenbach P (2002) Impact of mapping errors on the reliability of landslide hazard maps. Nat Hazards Earth Syst Sci 2:3–14
Chen Y, Shi Y (2006) Basic characteristics of seismic landslides in loess area of Northwest China. J Seismol Res 29(3):276–281 (in Chinese)
Cheng Y, Zhang J, Du D (2007) On the relationship between fault activity and geological hazard in Tianshui Area, Gansu Province. J Eng Geol 15(01):33–37 (in Chinese)
Dou J, Chang K-T, Chen S, Yunus AP, Liu J-K, Xia H, Zhu Z (2015) Automatic case-based reasoning approach for landslide detection: integration of object-oriented image analysis and a genetic algorithm. Remote Sens 7(4):4318–4342
Gu G (1983) Catalogue of Chinese earthquakes: 1831 BC–1969 AD. Science Press, Beijing (in Chinese)
Gutjahr KH, Perko R, Raggam H, Schardt M (2014) The epipolarity constraint in stereo-radargrammetric DEM generation. IEEE Trans Geosci Remote Sens 52(8):5014–5022
Hirschmüller H (2008) Stereo processing by semi-global matching and Mutual Information. IEEE Trans Pattern Anal Mach Intell 30(2):328–341
Kalbermatten M, Van De Ville D, Turberg P, Tuia D, St Joost (2012) Multiscale analysis of geomorphological and geological features in high resolution digital elevation models using the wavelet transform. Geomorphology 138(1):352–363
Kang L, Zhang X, Shi Y, Huang X, Li L (1999) A study on the earthquake risk segments of the North Fault Zone in West Qinling Mountain. South China J Seismol 19(1):60–65 (in Chinese)
Leopold Ph, Draganits E, Heiss G, Kovacs E (2013) A geotechnical explanation for the transition from creep to slides in the alpine foreland. In: Margottini C, Canuti P, Sassa K (eds) Landslide science and practice, vol 4. Global Environmental Change
Lu Y, Shi Y, Chen Y, Liu H (2006) Slippage estimation of the loess landslide triggered by eathquake. Northwestern Seismol J 28(3):248–251 (in Chinese)
Malamud B, Turcotte D, Guzzetti F, Reichenbach P (2004) Landslide inventories and their statistical properties. Earth Surf Proc Land 29(6):687–711
Pei X, Ding S, Li Y, Su C, Li Y, Chen S (2004) Tian shui shi fu (I48C 002003) 1: 250000 regional geological survey (revision surveys) achievements reports. Institute of geological survey, Chang’an University, Geology investigation institute in Gansu province, Xi’an, p 637 (in Chinese)
Perko R, Raggam H, Gutjahr KH, Schardt M (2014) Assessment of the mapping potential of Pléiades stereo and triplet data. In ISPRS annals of photogrammetry, remote sensing and SPATIAL information sciences, vol II-3, pp 103–109
Rumpler M, Wendel A, Bischof H (2013) Probabilistic range image integration for DSM and true-orthophoto generation. Scandinavian conference on image analysis, pp 533–544
Samia J, Temme A, Bregt A, Wallinga J, Guzzetti F, Ardizzone F, Rossi M (2016) Do landslides follow landslides? Insights in path dependency from a multi-temporal landslide inventory. Landslides, doi:10.1007/s10346-016-0739-x
Scharstein D, Szeliski R (2002) A taxonomy and evaluation of dense two frame stereo correspondence algorithms. Int J Comput Vision 47(1–3):7–42
Shao Y, Yuan D, Wang A, Liang M, Liu K, Feng J (2011) The segmentation of rupture and estimate of earthquake risk along the north margin of western Qinling fault zone. Seismol Geol 33(1):79–90 (in Chinese)
Van Den Eeckhaut M, Muys B, Van Loy K, Poesen J, Beeckman H (2009) Evidence for repeated re-activation of old landslides under forest. Earth Surf Proc Land 34(3):352–365
Wang M, Hu F, Li J (2011) Epipolar resampling of linear pushbroom satellite imagery by a new epipolarity model. ISPRS J Photogram Remote Sens 66(3):347–355
Wang N, Wang L (2013) Characteristics and influencing factors of seismic loess slopes in valley areas. Chin J Geotech Eng 35(supp. 1):434–438 (in Chinese)
Zhang S, Xie Y (1991) The shallow geological tectonic in Tianshui earthquake area. Northwestern Seismol J 13(Supp.):22–28 (in Chinese)
Zhou M, Li Q, Min X, Fan B, Wei D (1991) The interpretation of the fanprofiles data in Tianshui earthquake area. Northwestern Seismol J 13(Supp.):44–47 (in Chinese)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Leopold, P. et al. (2017).
Comparing Landslide Mapping from DTM Satellite Derived Data and Field Based Studies of Loess Sediments in Western China.
In: Mikos, M., Tiwari, B., Yin, Y., Sassa, K. (eds) Advancing Culture of Living with Landslides. WLF 2017. Springer, Cham. https://doi.org/10.1007/978-3-319-53498-5_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-53498-5_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-53497-8
Online ISBN: 978-3-319-53498-5
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)