Refine your search
Collections
Co-Authors
Journals
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Purohit, Saurabh
- Satellite-Based Mapping and Monitoring of Heavy Snowfall in North Western Himalaya and its Hydrologic Consequences
Abstract Views :202 |
PDF Views:79
Authors
Bhaskar R. Nikam
1,
Vaibhav Garg
1,
Prasun K. Gupta
1,
Praveen K. Thakur
1,
A. Senthil Kumar
1,
Arpit Chouksey
1,
S. P. Aggarwal
1,
Pankaj Dhote
1,
Saurabh Purohit
1
Affiliations
1 Indian Institute of Remote Sensing, 4, Kalidas Road, Dehradun 248 001, IN
1 Indian Institute of Remote Sensing, 4, Kalidas Road, Dehradun 248 001, IN
Source
Current Science, Vol 113, No 12 (2017), Pagination: 2328-2334Abstract
Snow cover is one of the most important land surface parameters in global water and energy cycle. Large area of North West Himalaya (NWH) receives precipitation mostly in the form of snow. The major share of discharge in rivers of NWH comes from snow and glacier melt. The hydrological models, used to quantify this runoff contribution, use snow-covered area (SCA) along with hydro-meteorological data as essential inputs. In this context, information about SCA is essential for water resource management in NWH region. Regular mapping and monitoring of snow cover by traditional means is difficult due to scarce snow gauges and inaccessible terrain. Remote sensing has proven its capability of mapping and monitoring snow cover and glacier extents in these area, with high spatial and temporal resolution. In this study, 8-day snow cover products from MODIS, and 15-daily snow cover fraction product from AWiFS were used to generate long-term SCA maps (2000–2017) for entire NWH region. Further, the long term variability of 8-daily SCA and its current status has been analysed. The SCA mapped has been validated using AWiFS derived SCA. The analysis of current status (2016–17) of SCA has indicated that the maximum extent of snow cover in NWH region in last 17 years. In 2nd week of February 2017, around 67% of NWH region was snow covered. The comparison of SCA during the 1st week of March and April in 2016–17 against 2015–16 indicates 7.3% and 6.5%, increased SCA in current year. The difference in SCA during 1st week of March 2017 and 1st week of April 2017 was observed to be 14%, which indicates that the 14% SCA has contributed to the snow melt during this period. The change in snow water equivalent retrieved using SCATSAT-1 data also validates this change in snow volume.Keywords
AWiFS, MOD10A2, North Western Himalaya, Snow Cover Area, SCATSAT-1.Full Text
References
- IMD, India Meteorological Department: AWS Lab Pune; http://www.imdaws.com/ViewAwsData.aspx (accessed on 10 April 2017).
- Aggarwal, S. P., Thakur, P. K., Nikam, B. R. and Garg, V., Integrated approach for snowmelt run-off estimation using temperature index model, remote sensing and GIS. Curr. Sci., 2014, 106(3), 397–407.
- Kulkarni, A. V., Singh, S. K., Mathur, P. and Mishra, V. D., Algorithm to monitor snow cover using AWiFS data of Resourcesat-1 for the Himalayan region. Int. J. Remote Sens., 2006, 27, 2449–2457.
- Dozier, J., Snow reflectance from Landast-4 thematic mapper. IEEE Trans. Geosci. Remote Sens., 1984, 22, 323–328.
- Dozier, J. and Marks, D., Snow mapping and classification from Landsat Thematic Mapper (TM) data. Ann. Glaciol., 1987, 9, 97–103.
- Dozier, J., Spectral signature of alpine snow covers from the Landsat thematic mapper. Remote Sens. Environ., 1989, 28, 9–22.
- Dozier, J. and Frew, J., Computational provenance in hydrologic science: a snow mapping example. Philos. Trans. R. Soc. London, Ser. A., 2009, 367, 1021–1033.
- Vogel, S. W., Usage of high-resolution Landsat-7 band-8 for single band snow cover classification. Ann. Glaciol., 2002, 34, 53–57.
- Dorothy, K. H. et al., Algorithm Theoretical Basis Document (ATBD) for the MODIS Snow and Sea Ice-Mapping Algorithms, NASA Goddard Space Flight Center, Greenbelt, Maryland, 2001; https://modis-snow-ice.gsfc.nasa.gov (accessed on 13 February 2017).
- Hall, D. K., Riggs, G. A., Salomonson, V. V., DiGirolamo. N. E. and Bayr, K. J., MODIS snow cover products. Remote Sens. Environ., 2002, 83, 181–194.
- Hall, D. K., Riggs, G. A. and Roman, M. O., VIIRS Snow Cover Algorithm Theoretical Basis Document (ATBD), Version 1.0, NASA Goddard Space Flight Center, Greenbelt, Maryland, 2015, p. 38.
- NSIDC, National Snow and Ice Data Centre website: Snow Cover Products; https://nsidc.org/data/MOD10A2 (accessed on 13 February 2017).
- Hall, D. K. and Riggs, G. A., MODIS/Terra Snow Cover 8-Day L3 Global 500 m Grid, Version 6. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center, 2016; doi: http://dx.doi.org/10.5067/MODIS/MOD-10A2.006 (accessed on 13 February 2017).
- Nikam, B. R., Garg, V., Gupta, P. K., Thakur, P. K., Aggarwal, S. P. and Kumar, A. S., A Preliminary Assessment Report on Assessment of Long-Term and Current Status (2016-17) of Snow Cover Area in North Western Himalayan River Basins using Remote Sensing. Technical Report, IIRS/WRD/Technical Report/ 2017/212, IIRS Dehradun, 2017, p. 26.
- Jain, S. K., Goswami, A. and Saraf, A. K., Accuracy assessment of MODIS, NOAA and IRS data in snow cover mapping under Himalayan conditions. Int. J. Remote Sens., 2008, 29(20), 5863–5878.
- Sharma, V., Mishra, V. D. and Joshi, P. K., Topographic controls on spatio-temporal snow cover distribution in Northwest Himalaya. Int. J. Remote Sens., 2014, 35(9), 3036–3056.
- ISRO, Indian Space Research Organisation; http://www.isro.gov.in/Spacecraft/scatsat-1 (accessed on 10 April 2017).
- Yueh, S., Cline, D. and Elder, K., POLSCAT Ku-band Radar Remote Sensing of Terrestrial Snow Cover. IEEE Proc. International Geoscience and Remote Sensing Symposium-2008, Boston, MA, USA, 7–11 July 2008 (doi:10.1109/IGARSS.2008.4779276).
- CWC, Central Water Commission: Flood Forecast Portal; http://www.india-water.gov.in/ffs/hydrograph/ (accessed on 10 April 2017).
- Thakur, P. K., Aggarwal, S. P., Arun, G., Sood, S., Kumar, A. S., Snehmani and Dobhal, D. P., Estimation of snow cover area, snow physical properties and glacier classification in parts of Western Himalayas using C-band SAR data. J. Indian Soc. Remote Sens., 2016; doi:10.1007/s12524-016-0609-y.
- Thakur, P. K., Garg, P. K., Aggarwal, S. P., Garg, R. D. and Snehmani, Snow cover area mapping using synthetic aperture radar in Manali watershed of Beas River in the Northwest Himalayas. J. Indian Soc. Remote Sens., 2013; doi:10.1007/s12524-012-0236-1.