Skip to main content

Abstract

In the present study, Advanced Wide Field Sensor (AWiFS) of Indian remote sensing satellite data is used to monitor seasonal snow cover measurement in Bhaga basin of Western Himalaya, Himachal Pradesh, India. The AWiFS images are being corrected topographically using ASTER Digital Elevation model. An attempt has been made towards estimation of snow cover using algorithms based on Normalized Difference Snow Index (NDSI), Normalized Difference of Cloud Index (NDCI) and Snow Under Vegetation (S3). Algorithm S3 is used for estimation of snow pixels in vegetation area without reference data. Algorithms NDSI and NDCI are involving NIR band of reflectance for snow pixel area. Comparison of the estimated snow cover using all the three algorithms is carried out which represent that the results estimated using S3 algorithm are more accurate than NDSI and NDCI algorithms.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 329.99
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

  1. De Ruyter de Wildt, M. and Seiz G. Gruen, A.: Operational snow mapping using multitemporal Meteosat SEVIRI imagery. Rem. Sens. Environ. 109 (1), 29–41 (2007)

    Google Scholar 

  2. Hall, D.K., Riggs, G.A. and Salomonson, V.V.: Development of methods for mapping global snow cover using Moderate Resolution Imaging Spectroradiometer (MODIS) data. Rem. Sens. Environ. 54(2), 127–140 (1995)

    Article  Google Scholar 

  3. Khosla, D., Sharma, D.K. and Mishra, V.D.: Snow cover monitoring using different algorithm on AWiFS Sensor data. Int. J. Adv.Eng. Sci. Tech. 7 (1), 042–047 (2011)

    Google Scholar 

  4. Mishra, V.D., Sharma, J.K., Singh., K.K., Thakur, N.K. and Kumar, M.: Assessment of different topographic corrections in AWiFS satellite imagery of Himalaya terrain. J. Earth Syst. Sci. 118 (1), 11–26 (2009)

    Article  Google Scholar 

  5. Nichol, J., Hang, L.K. and Sing, W.M.: Empirical correction of low sun angle images in steeply sloping terrain: a slope matching technique. Int. J. Rem. Sens. 27 (3–4), 629–635 (2006)

    Article  Google Scholar 

  6. Rees, W.G.: Remote Sensing of Snow and Ice. In: CRC Press, Taylor & Francis Group: Boca Raton, FL, USA, pp. 99–117 (2006)

    Google Scholar 

  7. Singer, F.S. and Popham, R.W.: Non-meteorological observations from satellites. Astronaut. Aerosp. Eng. 1 (3), 89–92 (1963)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Farjana Birajdar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Capital Publishing Company

About this paper

Cite this paper

Birajdar, F., Venkataraman, G., Samant, H. (2016). Monitoring Snow Cover Area Using Different Algorithms on Indian Remote Sensing Data. In: Raju, N. (eds) Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment. Springer, Cham. https://doi.org/10.1007/978-3-319-18663-4_115

Download citation

Publish with us

Policies and ethics