Assessment of Ground Water Potential from Remote Sensing Data Using Case Based Reasoning Technique

In this article we propose a Decision Support System using Case Based Reasoning (CBR) Technique for assessing ground water potential. Ground water is found in bedrock or in thick masses of overburden many feet below the surface. Theoretically ground water is function of various terrain parameters viz. Land Use/ Land Cover, Geology, Soil, Landform and Lineament. Using this theoretical framework a Decision Support System (DSS) is being proposed to assess the ground water availability. Human decisionmaking process makes use of multiple reasoning modalities. Among them the more significant ones are: Rule Based Reasoning, Case Base Reasoning and Model Based Reasoning. Case Based Reasoning (CBR) approach makes efficient use of past experiences for interpreting present situation. Past experiences are stored in the case base in the form of cases. The cases are prepared on the basis of real data collected from the fields, covering five types of terrain, i.e., plain, desert, marshy, costal and deltaic regions. Case structure uses six terrain parameters based on their roll for ground water availability. These include Land Use/ Land Cover, Geology, Soil, Slope, Landform and Lineament. Finally, the results are tested in the field and presented in the end of this article.