3. Data Used
The different sets of data used for the study with their sources are given in Table 1

Table 1: Details of various data sets used in the present study

Type of Data	Details of Data				Source of Data
Survey of India (SOI) toposheets	73 I, 73 M (scale 1:2,50,000) 73 I/10, I/11, I/12, I/14, I/15, I/16, 73 M/3, M/4, M/7, M/8 (scale 1:50,000)				Survey of India (SOI), Dehradun
Thematic maps: Geomorphology, Soil, geology	(Scale 1:2,50,000)				National Bureau of Soil Survey and Land Use Planning (NBSS & LUP), Nagpur, Geological Survey of India (GSI), Calcutta
Remote Sensing digital data sets of IRS-1B-LISS-II & IRS-1C-LISS-III	LISS-II		LISS-III		National Remote Sensing Agency (NRSA), Hyderabad
	Scene	Date	Scene	Date
	19/51/A2	03.11.88	106/55	09.11.96
	19/52/A1	03.11.88	106/56	04.11.97
	20/51/B2	26.11.88	107/55	14.11.96
	20/52/B1	26.11.88	107/56	14.11.96
Groundwater data: Depth to water level of 34 wells	The depth of water level for the month of January, April, August, and November for years from 1984 to 1997				State Water Investigation Directorate (SWID), Calcutta

4. Methodology
The methodology adopted in the present study is represented schematically (Figure 1) and described in the following steps:


Figure 1 Flow chart showing data flow and different GIS analysis operations followed in the present study

1. In the initial stage of GIS spatial database development various analogue maps, which were in different scales obtained from different organizations, were converted into digital format by using manual digitization method in ILWIS software.
2. In the second stage, digital image processing of the satellite data were carried out for extraction of pertinent information. The IRS-LISS-II and IRS-1C-LISS-III data were classified using supervised classification technique. The landuse maps of the year 1988 and 1996 were prepared and the original extent of the landuse in 1988 is compared with the changes that have occurred in 1996 to compute an overall change patterns in each category (Figure 2).
   
   
   Figure 2 Landuse change map derived from the analysis of IRS-1A-LISS-II data of 1988 and IRS-1C-LISS-III data of 1996
   
3. In the third stage, all the above themes were brought into Arc View 3.1 for further processing and analysis.
4. The fourth stage involves the integrated analysis of multi-disciplinary data sets to construct composite information set to explain various queries in the spatial context. GIS and landuse are natural partners as both of them deal with spatial data. The landuse change evaluation with respect to groundwater changes is provided.

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