Comparison of Vegetation and Water Indices Calculated on IRS LISS-3 and IRS-P6 AWiFS Data

Ajay Singh Tomar


Remote sensing technologies provide stereo images which allow topographic mapping and the functionality gives not only static display but also analytical process. Vegetation indices and water indices have been proposed over last decades as the most suitable vegetation and water indices for a given remote sensing application. In this research study, the suitability and results show these indices (SVI, NDVI, SWI and NDWI) can apply on LISS-3 and Awifs, more comparisons view can get it from Awifs sensor. Using a Geographical Information System (GIS) it is possible to relate location to vegetation and water bodies cover. Indices have become a key for planning, conservation and management of any ecosystem. This has resulted in the habitat quality of varied aquatic flora and funa. Moreover, the seasonal changes affect the land use/land cover characteristics of the landscape. This powerful approach is opening up new opportunities to study the vegetation mapping with sensor comparisons. This information used to enhance the regions for identifying vegetation cover/mapping area.


Keywords: IRS-LISS-3, IRS-P6 AWiFS, indices, SVI, NDVI, SWI, NDWI, sensor comparison

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Zootec R Bras. The integration of GPS, vegetation mapping and GIS in ecological and behavioural studies. Brazilian Journal of Animal Husbandry. 2007; 36.

Gao J. Digital Analysis of Remotely Sensed Imagery. USA: McGrawHill; 2009.

Yong Ge, Bai Hexiang, Li Sanping, et al. Exploring the sample quality using rough sets theory for the supervised classification of remotely sensed imagery. Geo-spatial Information Science 2008; 11: 2.

Tomar Ajay Singh, Singh UC. Automation Process of Watershed Assessment: Remote Sensing & GIS Techniques. Journal of Remote Sensing & GIS. 2012; 4(1).

Peihuang Jie Yu, Guo Pinxiang Chen, Zhongshan Zhang, et al. Remote Sensing image classification based on improved fuzzy c-means. Journal of Geo-Spatial Information Science. 2008; 11: 2.

Tomar Ajay Singh, Singh UC. Geomorphological mapping using remote sensing and GIS: A tool for land use planning around Shivpuri city, M.P., India. IOSRJCE; 2012; 5(1): 28–30p.

Rob Bramley, et al. being profitable precisely – A case study of precision viticulture from Margaret River. The Australian & New Zealand Grapegrower & Winemaker.2005

Forkel M, Carvalhais N, Verbesselt J, et al. Trend change detection in NDVI time series: Effects of inter-annual variability and methodology. Remote Sensing. 2013; 5(5): 2113–44p.



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