Application of remote sensing techniques towards the role of traditional water bodies with respect to vegetation conditions

Avtar, Ram, Herath, Srikantha, Saito, Osamu, Gera, Weena, Singh, Gulab and Takeuchi, Kazuhiko, (2013). Application of remote sensing techniques towards the role of traditional water bodies with respect to vegetation conditions. Environment, Development and Sustainability, 995-1011

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  • Sub-type Journal article
    Author Avtar, Ram
    Herath, Srikantha
    Saito, Osamu
    Gera, Weena
    Singh, Gulab
    Takeuchi, Kazuhiko
    Title Application of remote sensing techniques towards the role of traditional water bodies with respect to vegetation conditions
    Appearing in Environment, Development and Sustainability
    Publication Date 2013
    Place of Publication Amsterdam
    Publisher Springer Netherlands
    Start page 995
    End page 1011
    Abstract Sri Lanka being an agrarian country, the role of water is important for agricultural production. In Sri Lanka, various tank cascade systems, earthen dams and distribution canals have been accepted as few of the most complex ancient traditional water systems of the world. Rainfall, surface water, groundwater and runoff are linked with each other, they have close interactions to land cover classes such as forests and agriculture. The monitoring of vegetation conditions can show subsurface manifestations of groundwater. In this study, an effort to understand the role of traditional water reservoirs and groundwater recharge was made using remote sensing techniques. We have analyzed various vegetation indices such as Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI-2), Soil-Adjusted Vegetation Index (SAVI), tasselled cap transformation analysis (TCA brightness, greenness and wetness) and their relations with the existence of soil, vegetation and water. Result shows that EVI, SAVI, and TCA-based Greenness Index indicates good relationship with the vegetation conditions as compared to other indices. Therefore, these indices could play a crucial role in depicting the interaction between soil, vegetation, and water. However, multi-temporal observations can provide significant results about these interactions more accurately.
    Copyright Holder Springer Science+Business Media Dordrecht
    Copyright Year 2013
    Copyright type All rights reserved
    DOI 10.1007/s10668-013-9507-4
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    Created: Mon, 14 Apr 2014, 17:13:42 JST