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Accueil du site → Doctorat → Inde → 2012 → Integrated hydrogeological study of upper noyyil basin Coimbatore district Tamilnadu south India using remote sensing and GIS

Periyar University (2012)

Integrated hydrogeological study of upper noyyil basin Coimbatore district Tamilnadu south India using remote sensing and GIS

Barathi, R

Titre : Integrated hydrogeological study of upper noyyil basin Coimbatore district Tamilnadu south India using remote sensing and GIS

Auteur : Barathi, R

Université de soutenance : Periyar University

Grade : Doctor of Philosophy (PhD) 2012

Résumé partiel
Spatial analysis of various parameters including terrain and climate, employing remote sensing satellite data and GIS is very useful and significant in understanding the hydrogeological and groundwater condition of an area. In the present study, integrated approach using remote sensing and GIS was carried out in upper Noyil basin, Coimbatore district, Tamilnadu, south India to understand the hydrogeological and groundwater condition of the basin. GIS integrated approach using thematic information from remote sensing satellite data (Landsat ETM) and other field collateral data has helped to derive following conclusions of the study area, upper Noyyil basin. The objectives of the study are to delineate groundwater probable zones, to study the seasonal changes in groundwater fluctuations and to understand the role of certain terrain parameters on groundwater environment. This study also attempts to understand the relationship between groundwater condition and land use practice of the upper Noyyil basin. Many of the previous studies have not related the terrain and groundwater condition with the existing landuse and delineated varying spatial trend of landuse pattern and groundwater fluctuations. Remote sensing data helped to delineate various lithological and landform units of the study area. It has also helped to prepare landuse map of the study area, with limited field check, in conjunction with the information obtained through digital image analysis of the study area. Image analysis of the study area using different image processing techniques such edge enhancement, textural analysis, PCA, NDVI and clustering has contributed enormously to the study. Various enhancement techniques including clustering technique using color index have brought out significant information on the geological, structural, geomorphological and landuse/ land cover features of the study area. They helped to appreciate the intrinsic differences among various units within a thematic layer

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