Skip to main content

Satellite Imagery for Landslide Mapping in an Earthquake-Struck Area

  • Chapter
  • First Online:
Book cover Advances in Earth Observation of Global Change
  • 1197 Accesses

Abstract

This study examines the utilities of satellite imagery for landslide mapping in connection to a recent major earthquake event. The study area covers part of the Wenchuan County, Sichuan Province, China, approximately 30 km away from the epicenter of the Sichuan Earthquake that struck on 12 May 2008. Estimated at the magnitude of 7.9 on the Richter scale, this earthquake is cited as the 19th deadliest earthquake of all time. The Sichuan Earthquake and its aftershocks have triggered numerous landslides that were directly responsible for at least one-third of the overall casualties and widespread infrastructure damage. The primary data used are two satellite images acquired before and after the Sichuan Earthquake by Terra’s Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Landsat 5 Thematic Mapper (TM). Georeferencing and radiometric normalization are conducted before further processing the satellite scenes. A Normalized Difference Vegetation Index (NDVI) image is computed from each of the images, and the NDVI change after the Earthquake is analyzed. It is found that the areas with a large NDVI decrease were largely related to earthquake-triggered landslide activities. This study demonstrates that satellite imagery can be quite useful to map the spatial distribution of earthquake-induced landslides quickly.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Alcantara-Ayala I, Esteban-Chavez O, Parrot JF (2006) Landsliding related to land-cover change: A diachronic analysis of hillslope instability distribution in the Sierra Norte, Puebla, Mexico. Catena 2:152–165

    Article  Google Scholar 

  • Alexander D (1989) Urban landslides. Prog Phys Geog 2:157–191

    Article  Google Scholar 

  • Borghuis AM, Chang K, Lee HY (2007) Comparison between automated and manual mapping of typhoon-triggered landslides from SPOT-5 imagery. Int J Remote Sens 7–8:1843–1856

    Article  Google Scholar 

  • Brardinoni F, Slaymakerl O, Hassan MA (2003) Landslide inventory in a rugged forested watershed: A comparison between air-photo and field survey data. Geomorphology 3–4:179–196

    Article  Google Scholar 

  • Chang YL, Liang LS, Han CC, Fang JP, Liang WY, Chen KS (2007) Multisource data fusion for landslide classification using generalized positive Boolean functions. IEEE Trans Geosci Remote 6:1697–1708

    Article  Google Scholar 

  • Chen RF, Chang KJ, Angelier J, Chan YC, Deffontaines B, Lee CT, Lin ML (2006) Topographical changes revealed by high-resolution airborne LiDAR data: The 1999 Tsaoling landslide induced by the Chi–Chi earthquake. Eng Geol 3–4:160–172

    Article  Google Scholar 

  • Colesanti C, Wasowski J (2006) Investigating landslides with space-borne synthetic aperture radar (SAR) interferometry. Eng Geol 3–4:173–199

    Article  Google Scholar 

  • Congalton RG (1991) A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens Environ 1:35–46

    Article  Google Scholar 

  • Dai FC, Lee CF, Ngai YY (2002) Landslide risk assessment and management: An overview. Eng Geol 1:65–87

    Article  Google Scholar 

  • Domakinis C, Oikonomidis D, Astaras T (2008) Landslide mapping in the coastal area between the Strymonic Gulf and Kavala (Macedonia, Greece) with the aid of remote sensing and geographical information systems. Int J Remote Sens 23:6893–6915

    Article  Google Scholar 

  • Fookes PG, Dale SG, Land JM (1991) Some observations on a comparative aerial-photography interpretation of a landslipped area. Q J Eng Geol 3:249–265

    Article  Google Scholar 

  • Fourniadis IG, Liu JG, Mason PJ (2007) Landslide hazard assessment in the Three Gorges area, China, using ASTER imagery: Wushan-Badong. Geomorphology 1–2:126–144

    Article  Google Scholar 

  • Hall FG, Strebel DE, Nickeson JE, Goetz SJ (1991) Radiometric rectification – toward a common radiometric response among multidate, multisensor images. Remote Sens Environ 1:11–27

    Article  Google Scholar 

  • Harp EL, Jibson RW (1996) Landslides triggered by the 1994 Northridge, California, earthquake. B Seismol Soc Am 1:S319–S332

    Google Scholar 

  • Havenith HB, Torgoev I, Meleshko A, Alioshin Y, Torgoev A, Danneels G (2006) Landslides in the Mailuu-Suu Valley, Kyrgyzstan – Hazards and impacts. Landslides 2:137–147

    Article  Google Scholar 

  • Hearn GJ (1995) Landslide and erosion hazard mapping at Ok-Tedi copper mine, Papua-New-Guinea. Q J Eng Geol 28:47–60

    Article  Google Scholar 

  • Hervas J, Barredo JI, Rosin PL, Pasuto A, Mantovani F, Silvano S (2003) Monitoring landslides from optical remotely sensed imagery: The case history of Tessina landslide, Italy. Geomorphology 1–2:63–75

    Article  Google Scholar 

  • Huang RQ (2009) Some catastrophic landslides since the twentieth century in the southwest of China. Landslides 1:69–81.

    Google Scholar 

  • Hubbard J, Shaw JH (2009) Uplift of the Longmen Shan and Tibetan plateau, and the 2008 Wenchuan (M=7.9) earthquake. Nature 7235:194–197

    Article  Google Scholar 

  • Jensen JR (2005). Introductory digital image processing: a remote sensing perspective, 3rd edn. Pearson Prentice Hall, NJ

    Google Scholar 

  • Keefer DK (2002) Investigating landslides caused by earthquakes – A historical review. Surv Geophys 6:473–510

    Article  Google Scholar 

  • Mantovani F, Soeters R, Van Westen CJ (1996) Remote sensing techniques for landslide studies and hazard zonation in Europe. Geomorphology 3–4:213–225

    Article  Google Scholar 

  • Marcelino EV, Formaggio AR, Maeda EE (2009) Landslide inventory using image fusion techniques in Brazil. Int J Appl Earth Observ Geoinf 3:181–191

    Article  Google Scholar 

  • Nichol J, Wong MS (2005) Satellite remote sensing for detailed landslide inventories using change detection and image fusion. Int J Remote Sens 9:1913–1926

    Article  Google Scholar 

  • Nichol JE, Shaker A, Wong MS (2006) Application of high-resolution stereo satellite images to detailed landslide hazard assessment. Geomorphology 1–2:68–75

    Article  Google Scholar 

  • Oliver S (1993) 20th-century urban landslides in the Basilicata region of Italy. Environ Manage 4:433–444

    Article  Google Scholar 

  • Roessner S, Wetzel HU, Kaufmann H, Sarnagoev A (2005) Potential of satellite remote sensing and GIS for landslide hazard assessment in southern kyrgyzstan (Central Asia). Nat Hazards 3:395–416

    Article  Google Scholar 

  • Rosin PL, Ellis T (1995) Image difference threshold strategies and shadow detection. In: Proceedings of the 1995 British conference on Machine vision (Vol. 1), BMVA Press Surrey, UK, pp. 347–356

    Google Scholar 

  • Rosin PL, Hervás J, Barredo JI (2000) Remote sensing image thresholding for landslide motion detection. In: Proceedings of the 1st International Workshop on Pattern Recognition Techniques in Remote Sensing, Andorra, pp. 10–17

    Google Scholar 

  • Sato HP, Harp EL (2009) Interpretation of earthquake-induced landslides triggered by the 12 May 2008, M7.9 Wenchuan earthquake in the Beichuan area, Sichuan Province, China using satellite imagery and Google Earth. Landslides 2:153–159

    Article  Google Scholar 

  • Singhroy V, Molch K (2004) Characterizing and monitoring rockslides from SAR techniques. Adv Spa Res 33:290–295

    Google Scholar 

  • Switalski TA, Bissonette JA, DeLuca TH, Luce CH, Madej MA (2004) Benefits and impacts of road removal. Front Ecol Environ 1:21–28

    Article  Google Scholar 

  • Tarantino C, Blonda P, Pasquariello G (2007) Remote sensed data for automatic detection of land-use changes due to human activity in support to landslide studies. Nat Hazards 1:245–267

    Article  Google Scholar 

  • Tsutsui K, Rokugawa S, Nakagawa H, Miyazaki S, Cheng CT, Shiraishi T, Yang SD (2007) Detection and volume estimation of large-scale landslides based on elevation-change analysis using DEMs extracted from high-resolution satellite stereo imagery. IEEE Trans Geosci Remote 6:1681–1696

    Article  Google Scholar 

  • USGS (2008) Magnitude 7.9 – eastern Sichuan, China: 2008 May 12 06:28:01 UTC [Online] (Updated 22 May 2009). http://earthquake.usgs.gov/eqcenter/eqinthenews/2008/us2008ryan /us2008ryan.php. Accessed 18 July 2009

  • Van Den Eeckhaut M, Poesen J, Verstraeten G, Vanacker V, Nyssen J, Moeyersons J, van Beek LPH, Vandekerckhove L (2007) Use of LIDAR-derived images for mapping old landslides under forest. Earth Surf Proc Land 5:754–769

    Article  Google Scholar 

  • Van Westen CJ, Castellanos E, Kuriakose SL (2008) Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview. Eng Geol 3–4:112–131

    Article  Google Scholar 

  • Wang FW, Cheng QG, Highland L, Miyajima M, Wang HB, Yan CG (2009) Preliminary investigation of some large landslides triggered by the 2008 Wenchuan earthquake, Sichuan Province, China. Landslides 1:47–54

    Article  Google Scholar 

  • Wasowski J (1998) Understanding rainfall-landslide relationships in man-modified environments: A case-history from Caramanico Terme, Italy. Environ Geol 2–3:197–209

    Article  Google Scholar 

  • Weirich F, Blesius L (2007) Comparison of satellite and air photo based landslide susceptibility maps. Geomorphology 4:352–364

    Article  Google Scholar 

  • Whitworth MCZ, Giles DP, Murphy W (2005) Airborne remote sensing for landslide hazard assessment: A case study on the Jurassic escarpment slopes of Worcestershire, UK. Q J Eng Geol Hydroge 38:285–300

    Article  Google Scholar 

  • Yang X, Lo CP (2000) Relative radiometric normalization performance for change detection from multi-date satellite images. Photogramm Eng Rem S 8:967–980

    Google Scholar 

  • Yang X, Lo CP (2002) Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area. Int J Remote Sens 9:1775–1798

    Article  Google Scholar 

  • Yin YP, Wang FW, Sun P (2009) Landslide hazards triggered by the 2008 Wenchuan earthquake, Sichuan, China. Landslides 2:139–152

    Article  Google Scholar 

Download references

Acknowledgments

The author would like to thank Florida State University for the time release in conducting this work. The research was partially supported by the Florida State University Council on Research and Creativity and the Chinese Academy of Sciences through the International Partnership Project Ecosystem Processes and Services. Thanks are also due to the Global Land Cover Facilities for sharing their data collection for the 2008 China Earthquake. Lastly, the author wishes to thank the anonymous reviewer and Dr. Emilio Chuvieco for their time and effort in reviewing the earlier version of the manuscript, which helped improve the scholarly quality of this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiaojun Yang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Science+Business Media B.V.

About this chapter

Cite this chapter

Yang, X. (2010). Satellite Imagery for Landslide Mapping in an Earthquake-Struck Area. In: Chuvieco, E., Li, J., Yang, X. (eds) Advances in Earth Observation of Global Change. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9085-0_13

Download citation

Publish with us

Policies and ethics