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

被引：18

作者：

Avtar R. ^{[1
,2
]}

Herath S. ^{[1
]}

Saito O. ^{[1
]}

Gera W. ^{[1
]}

Singh G. ^{[3
]}

Mishra B. ^{[1
]}

Takeuchi K. ^{[1
,4
]}

机构：

[1] United Nations University, Institute for Sustainability and Peace (UNU-ISP), Tokyo

[2] Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology, Yokohama

[3] Graduate School of Science and Technology, Niigata University, Niigata

[4] Integrated Research System for Sustainability Science, University of Tokyo, Tokyo

来源：

Environment, Development and Sustainability | 2014年 / 16卷 / 5期

基金：

日本学术振兴会;

关键词：

AVNIR-2; Groundwater; Traditional water bodies; Vegetation indices;

D O I：

10.1007/s10668-013-9507-4

中图分类号：

学科分类号：

摘要：

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. © 2013, Springer Science+Business Media Dordrecht.

引用

页码：995 / 1011

页数：16

共 35 条

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