Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-8/W20, 193-198, 2011
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-8-W20/193/2011/
doi:10.5194/isprsarchives-XXXVIII-8-W20-193-2011
© Author(s) 2011. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
03 Sep 2012
AUTOMATED ALGORITHM FOR EXTRACTION OF WETLANDS FROM IRS RESOURCESAT LISS III DATA
S. Subramaniam and M. Saxena RS&GIS Applications Area, National Remote Sensing Centre(NRSC), ISRO, Hyderabad, AP, 500 625, INDIA
Keywords: Wetland, Remote Sensing, automated, knowledge based feature extraction Abstract. Wetlands play significant role in maintaining the ecological balance of both biotic and abiotic life in coastal and inland environments. Hence, understanding of their occurrence, spatial extent of change in wetland environment is very important and can be monitored using satellite remote sensing technique. The extraction of wetland features using remote sensing has so far been carried out using visual/ hybrid digital analysis techniques, which is time consuming. To monitor the wetland and their features at National/ State level, there is a need for the development of automated technique for the extraction of wetland features. A knowledge based algorithm has been developed using hierarchical decision tree approach for automated extraction of wetland features such as surface water spread, wet area, turbidity and wet vegetation including aquatic for pre and post monsoon period. The results obtained for Chhattisgarh, India using the automated technique has been found to be satisfactory, when compared with hybrid digital/visual analysis technique.
Conference paper (PDF, 429 KB)


Citation: Subramaniam, S. and Saxena, M.: AUTOMATED ALGORITHM FOR EXTRACTION OF WETLANDS FROM IRS RESOURCESAT LISS III DATA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-8/W20, 193-198, doi:10.5194/isprsarchives-XXXVIII-8-W20-193-2011, 2011.

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