Skip to main content

Glacier Terminus Position Monitoring and Modelling Using Remote Sensing Data

  • Conference paper
  • First Online:
Advances in Computing and Data Sciences (ICACDS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 906))

Included in the following conference series:

Abstract

This study basically deals with the identification of glacier terminus position. The data used include Toposheets, Landsat TM, MSS, ETM+ and OLI/TIRS sensors. Firstly, converts the Landsat DN images are converted into Reflectance images using formulae from Landsat Handbook. The formulae were implemented using Raster calculator following the ARC GIS 10.2 software. Secondly, the NDVI and NDWI images were created and used for the identification of glacier terminus positions for a period 1990–2012 for a glacier in Alaknanda basin, while for the glacier in Indus basin an analysis was made for the period 1963–2013. Glacier terminus is considered as the starting point of the river from it. Further, the altitude of snout position was marked, and elevation value was obtained using Cartosat DEM. In addition, the retreat rate of glaciers was determined per year. A linear regression model was derived for the altitude position of glacier terminus, which gave a good value of coefficient of determination. A comparison was made on the predicted value of 2013, altitude position from ANN and linear regression model. It was observed that the ANN predicted results with a better accuracy. Further analysis was made on future affect of such a glacier retreat on cold water habitat, on crop irrigation and on the fisheries.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

  1. Paul, F., Kaab, A., et al.: Rapid disintegration of Alpine Glaciers observed with satellite data. Geophys. Res. Lett. 31(21), L21402 (2004)

    Article  Google Scholar 

  2. Syed, T.H., Famiglietti, J.S., Zlotnicki, V., Rodell, M.: Contemporary estimates of Arctic freshwater discharge from GRACE and reanalysis. Geophys. Res. Lett. 34, L19404 (2007). https://doi.org/10.1029/2007GL031254

    Article  Google Scholar 

  3. Elsberg, D.H.: Quantifying the effects of climate and surface change on glacier mass balance. J. Glaciol. 47(159), 649–658 (2001)

    Article  Google Scholar 

  4. Kulkarni, A.V.: Effect of global warming on snow ablation pattern in the Himalayas. Curr. Sci. 83(2), 120–123 (2002)

    MathSciNet  Google Scholar 

  5. Jianchu, X., Shrestha, A., Vaidya, R., Eriksson, M., Hewitt, K.: The melting Himalayas: regional challenges and local impacts of climate change on mountain ecosystems and livelihoods, 14 p. ICIMOD Technical Paper, Kathmandu, Nepal (2007)

    Google Scholar 

  6. Negi, H.S., Saravana, G., Rout, R., Snehmani, R.: Monitoring of great Himalayan glaciers in Patsio region, India using remote sensing and climatic observations. Curr. Sci. 105(10), 1383–1392 (2013)

    Google Scholar 

  7. Racoviteanu, A.E., Williams, M.W., Barry, R.G.: Optical remote sensing of glacier characteristics: a review with focus on the Himalaya. Sensors 8, 3355–3383 (2008). https://doi.org/10.3390/s8053355

    Article  Google Scholar 

  8. Dyurgerov, M.D., Meier, M.F.: Glaciers and changing earth system: a 2004 snapshot, 117 p. Institute of Arctic and Alpine Research, University of Colorado, Boulder (Colorado) (2005)

    Google Scholar 

  9. Landsat handbook. http://landsathandbook.gsfc.nasa.gov/

  10. Mcfeeters, S.K.: The use of normalized difference water index (NDWI) in the delineation of open water features. Int. J. Remote Sens. 17, 1425–1432 (1996)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kanupriya Jain .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nijhawan, R., Jain, K. (2018). Glacier Terminus Position Monitoring and Modelling Using Remote Sensing Data. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 906. Springer, Singapore. https://doi.org/10.1007/978-981-13-1813-9_2

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-1813-9_2

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1812-2

  • Online ISBN: 978-981-13-1813-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics