List of Journals    /    Call For Papers    /    Subscriptions    /    Login
 
 
 
 
 SEARCH
By Author By Title
 
 
ABOUT CSC
 About CSC Journals
 CSC Journals Objectives
 List of Journals
 CALL FOR PAPERS
 Call For Papers CFP
 Special Issue CFP
AUTHOR GUIDELINES
 Submission Guidelines
 Peer Review Process
 Helpful Hints For Getting Published
 Plagiarism Policies
 Abstracting & Indexing
 Open Access Policy
 Submit Manuscript
 FOR REVIEWERS
 Reviewer Guidelines
 FOR EDITORIAL
 Editor Guidelines
 Join Us As Editor
 Launch Special Issue
 Suggest New Journal
 CSC LIBRARY
 Browse CSC Library
 Open Access Policy
  SERVICES
 Conference Partnership Program (CPP)
 Abstracting & Indexing
 SUBSCRIPTIONS
 Subscriptions
 Discounted Packages
 Archival Subscriptions
 How to Subscribe
 Librarians
 Subscriptions Agents
 Order Form
 DOWNLOADS
 
 
 
 
Snow Cover Estimation from Resourcesat-1 AWiFS – Image Processing with an Automated Approach
Full text
 PDF(5.31MB)
Source 
International Journal of Image Processing (IJIP)
Table of Contents
Download Complete Issue    PDF(15.92MB)
Volume:  5    Issue:  3
Pages:  NULL
Publication Date:   July / August 2011
ISSN (Online): 1985-2304
Pages 
298 - 320
Author(s)  
S SUBRAMANIAM - India
A V SURESH BABU - India
E SIVASANKAR - India
V VENKATESHWAR RAO - India
G BEHERA - India
 
Published Date   
05-08-2011 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   Remote Sensing, Development of Automated Algorithm, Snow Cover Estimation, Resourcesat -1 AWIFS 
 
 
This Manuscript is indexed in the following databases/websites:-
1. Directory of Open Access Journals (DOAJ)
2. Google Scholar
3. Scribd
4. Docstoc
 
 
Snow and glaciers cover large areas of Himalayas. The resulting runoff from snow and glacier melt provides nearly 30-50% of the total annual water outlay of most of the rivers in north India. Hence, there is a need for regular monitoring of the Himalayan snow cover area. The Normalized Difference Snow index (NDSI) technique for automated detection of snow cover from remotely sensed data has limitations in the detection of snow under shadow and exclusion of water. A new automated snow cover estimation algorithm to overcome the these limitations has been developed using the spectral information from all the spectral bands of Resourcesat-1 AWiFS sensor. The automated algorithm has been implemented in hierarchical logical steps. Algorithm has been validated by comparing the results obtained with Hall’s and Kulkarni’s methods and observed that the new algorithm performs better than other methods in the elimination of noise, while detecting the snow covered pixels in deep mountain shadows. Satisfactory results have been obtained when used with several temporal images of large image mosaics which has been presented in this study. This algorithm has been evaluated with Landsat ETM and IRS LISS III which has similar spectral bands with different spatial and radiometric resolutions and the algorithm has been found to be working satisfactorily. The algorithm has been found to be useful for regular periodic monitoring of snow cover area.. 
 
 
 
1 WWF Nepal Programme Report, 2005. “An overview of glaciers, glacier retreat and subsequent impact in Nepal, China and India”. Available online at: http://www.panda.org/about_WWF/Climate_change.
2 A.V. Kulkarni, B.P. Rathore, S.K. Singh, and I.M. Bahuguna, 2011, “Understanding Himalayan cryosphere using remote sensing techniques” International Journal of Remote Sensing. Vol 32, pp 601-615.
3 Peru mountain glaciers 'receding rapidly' http://www.enn.com/sci-tech/article/37794
4 Jeff Dozzier.1989. “Spectral Signature of Alphine Snow Cover from Landsat Thematic Mapper”. Remote sensing of Environment Vol 28 pp 9-22.
5 Jeff Dozzier. 1984. “Snow reflectance from Landsat-4 Thematic Mapper”, IEEE Trans. Geosci. Remote Sensing. vol 22 pp 323-328.
6 D.K. Hall, G.A. Riggs and V.V. Satomonson, 1995, “Development of methods for mapping global snow cover using moderate resolution image spectoradiometer data”, Remote sensing of Environment, vol. 54, pp 127-140.
7 D.K. Hall, J.L. Foster, D.L. Verbyla and A.G. Klein, 1998. “Assessment of snow-cover mapping accuracy in a variety of vegetation-cover densities in central Alaska”, Remote sensing of Environment, 66, pp. 129-137.
8 R. Sidjak and R.D. Wheate,1999. “Glacier mapping of the Illecillewaet ice field, British Columbia, Canada, using Landsat TM and digital elevation data”. International Journal of Remote Sensing, vol. 2, pp. 273-284.
9 D.K. Hall, Riggs, Salomanson, N.E. Digirolamno and K.J.Bayr, 2002. “MODIS snow cover products”, Remote sensing of Environment, vol. 83, pp 181-194.
10 A.V. Kulkarni, J. Srinivasulu, S.S. Manjul and P. Mathur, 2002c. “Field-based spectral reflectance to develop NDSI method for snow coverage monitoring”. Journal of the Indian Society of Remote Sensing, vol. 30, pp 73-80.
11 A.V. Kulkarni, S.K. Singh, P. Mathur and V.D. Mishra, 2006. “Algorithm to monitor snow cover using AWiFS data of RESOURCESAT-1 for Himalayan region”, International Journal of Remote Sensing, vol. 27, pp 2449-2457.
12 X. Xiao, Z. Shen and X. Qin, 2001. “Assessing the potential of VEGETATION sensor data for mapping snow and ice cover: A normalized difference snow and ice index”, International Journal of Remote Sensing, vol. 22, pp. 2479-2487.
13 X. Xiao, B. Moore, X. Qin, Z. Shen and Stephen Boles. 2002. “Large-scale observations of alphine snow and ice cover in Asia Using multi-temporal VEGETATION sensor data”. International Journal of Remote Sensing, vol. 23, pp. 2213-2228.
14 Nando Foppa, Andreas Stoffel and Roland Meister, 2007, “Synergy of in situ and space borne observation of snow depth mapping in Swiss Alps”, International Journal of Applied Earth Observation and Geoinformation, vol.9, pp 294-310.
15 Zhonghai jin, Thomas P. Charlock, Ping Yang, Yu Xie and Walter Miller.2008, “ Snow Optical Properties for different particle shapes with application to snow grain size retrieval and MODID.CERES radiance comparison over Antarctica”, Remote sensing of Environment vol. 112, pp 3563-3581.
16 Miia Salminen, Jouni Pullianen Sari Metsamaki , Anna Kontu and Haane Suokanerva,2009. “The behavior of snow and snow-free surface reflectance in boral forests: Implications to the performance of snow covered area monitoring”, Remote Sensing of Environment vol.113, pp 907-918.
17 A.V. Kulkarni, S.S.Randhawa, B.P.Rathore, L.M.Bahuguna and R.K.Sood, 2002b. “A snow and glacier melt runoff model to estimate hydropower potential” . Journal of the Indian Society of Remote Sensing, vol. 30, pp 221-228.
18 V. Walter, 1998, “Automatic Classification of remote sensing Data for GIS Database Revision”, IAPRS, vol. 32(4), pp 641-648.
19 A. Baraldi, V. Puzzolo, P. Blonda, L. Bruzzone and C.Tarantino, 2006, “Automatic spectral rule-based preliminary mapping of calibrated Landsat TM and ETM+ Images, IEEE trans. Geoscience and remote sensing, vol. 44(1) pp 2563-2586.
20 S. Subramaniam, A.V. Suresh Babu and P.S. Roy,2011, “ Automated Water Spread Mapping Using ResourceSat-1 AWiFS Data for Water Bodies Information System”, IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, vol.4, pp 205-215.
21 D.Lu and Q. Weng. 2007, “A survey of image classification methods and techniques for improving classification performance”, International journal of Remote Sensing, vol. 28, No. 5,pp 823-870.
22 M. Shoshany and Y. Cohen. 2007. “Inference verses evidence in reasoning remote sensing recognition with an information foraging”, International journal of Remote Sensing, vol. 28, N0.11 pp 2613-2634
23 Amy E. Daniels, 2006, “Incorporating domain knowledge and spatial relationships into land cover classification: a rule based approach”, International Journal of Remote Sensing, vol.27, N0.14, pp 2949-2975.
24 B.L. MARKHAM and I.J. BARKER.1986. “Landsat MSS and TM post-calibration dynamic ranges, exoatmospheric reflectances and at-satellite temperatures”, EOSAT Technical Notes, vol. 1, pp. 3-8.
25 NRSC web portal : Bhoosampada ( http://applications.nrsc.gov.in:15001/)
 
 
 
 
 
 
 
 
S SUBRAMANIAM : Colleagues
A V SURESH BABU : Colleagues
E SIVASANKAR : Colleagues
V VENKATESHWAR RAO : Colleagues
G BEHERA : Colleagues  
 
 
 
  Untitled Document
 
Copyrights (c) 2012 Computer Science Journals. All rights reserved.
Best viewed at 1152 x 864 resolution. Microsoft Internet Explorer.
 
  
 
Copyrights & Usage: Articles published by CSC Journals are Open Access. Permission to copy and distribute any other content, images, animation and other parts of this website is prohibited. CSC Journals has the rights to take action against individual/group if they are found victim of copying these parts of the website.