International Journal of Geomatics and Geosciences

Water has become a scarce resource all over the world. Water resources of Earth can be classified as surface water and ground water in which ground water is the main source for the domestic purpose and agriculture. The study area Sivaganga district falls in the Southern part of Tamil Nadu, it comprises of major town such as Tirupattur, Karaikudi, Devakottai and having 30 & 34 villages respectively. The study area covers an area of 4378.7sq.km. It falls in between North Latitudes of 9^°30' 15’ and 10 ^°30' 00’ and east Longitudes of 78^°10'15’ and 79^°00'00’ Preparation of digital geological data from Geological survey of India (GSI) for the study area. Aim and objectives of the work is preparation of various thematic data such as Drainage, Drainage density, Lineament, Lineament density, Geomorphology, Land use and Land cover using Landsat data. Using Digital Image processing, the supervised, unsupervised Classification, band ratioing, filtering and NDVI Techniques for updating the above all thematic maps. Assigning Weightages to the above thematic maps and its classes. Integration of all above thematic maps based on the Weightages and Identification of selection of suitable site for artificial recharge to the study area. P 143 R 52 Date: 15052001, P 143 R 53 Date: 15052001, Geological Data Satellite: TM and SRTM, SOFTWARE USED ArcGIS 9.3 version.ENVI: 4.3 version. The data sources like satellite and topographic data and other secondary data were used for generation of various spatial parameters. The development and assessment of geology, geomorphology, natural resources need précised maps. The specific purposes maps are often referred as “thematic” maps because they contain information about a single object or theme, to make the thematic data easy to understand. The main task of the current study the primary and secondary data are assembled together in GIS platform. The spatial data are assembled in digital format and properly registered to take the spatial component referenced. The namely sensed data provides more reliable information on the different themes. Hence in the present study various thematic maps were prepared by visual interpretation of satellite imagery, SOI Top sheet. All the thematic maps are prepared 1:250,000, 1:50,000 scale. For the study area, artificial recharge sites had been identified based on the number of parameters loaded such as 4,3,2,1&0 parameters. Again,the study area was classified into priority I, II, III suggested for artificial recharge sites based on the number of parameters loaded using GIS integration. These zones are then compared with the Land use and Land cover map for the further adopting the suitable technique in the particular artificial recharge zones.