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
Document type:
Article
Collection:
-
Sub-type Journal article Author Avtar, Ram
Herath, Srikantha
Saito, Osamu
Gera, Weena
Singh, Gulab
Takeuchi, KazuhikoTitle 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 -
Citation counts Cited 0 times in Scopus Article
Search Google ScholarAccess Statistics: 979 Abstract Views - Detailed Statistics Created: Mon, 14 Apr 2014, 17:13:42 JST