|
|
|
Overview |
Crop Production |
Crop Pattern |
Crop Yield |
Irrigation |
Soil Management | Precision Farming |
Relevant Products |
Relevant Links
Application of GIS on small farm and dairy management: SARSA green, Durgapur, West-Bengal
Identification of Palaeo channels
With the help of satellite imagery we will show the palaeo channels and if there is any lineaments present in the site. These palaeo channels and the lineaments are the potential water bearing areas from where water can be used for future purpose. In the satellite imagery it can be identified the buried pediment shallow zones and the buried pediment moderate zones. But the thickness of the buried pediment shallow zone is 0-5m and the thickness of the buried pediment moderate is 10-20m. Maximum amount of groundwater availability occurs in the moderate zones, as its thickness is more than the shallow zones. These can be identified from the imagery. Also if there are any lineaments (Depressed Area) present with in the study area this will also be the source of groundwater. Analysis of surface water with the help of GIS application can be used for irrigation purpose, supply to the settlement area, industrial use and for other use also.
Methodology
The main methodology of the project are to prepare the hydrological map, land use map, preparation of the contour map, preparation of the soil map with the application of GIS Software. The development and planning of such a vast area for a dairy project requires various data information from the field to identify the terrain, slope, etc.
Implementation of GIS application development with the remote sensing data (Satellite Imagery) laying of topo survey data from topo maps (1:25,000 to 1:50,000 scales) available from Survey Of India and digitization of different maps will help to complete the methodology.
For the determination of potential groundwater bearing zones satellite imagery will help to complete the work in much easier way. In this regard IKONOS-2 image having significantly much high resolution helps excellent mapping of the surface of the earth. The resolution of the IKONOS 2 is 1 m, (Panchromatic) and its Multispectral resolution is 4 m. The features obtained from the satellite imagery will be imposed on the final map. In this way it will be much easier to show the water bearing areas on the map.
The land use map will consist of areas of the land use pattern of the project site. That is where the cultivable land is present, Where the cowshed, office, processing plant, fishery etc. will be located. The toposheet is to be digitized first. Then on the toposheet the areas covered by different land use patterns will be shown.
There will be two types of soil map of the project area. One map will be of surface profile type. In this map entire soil condition of the project area will be shown. The other map will show the vertical variation of soil in thickness in different borehole points shown in the Project area. There is a variation of soil in thickness in different areas.
Results & Discussions
Durgapur is an up landed area and the project site is located at such a place from where the distance of Ajay and Damodar is same. The slope of the area is towards the project site from Ajay River. There is a large variation of lithilogy up to a depth of 20-120m. In the entire project area there is thick extensive clay. But the clay thickness varies in some parts. Also there is a clay sand section. Basing on the reports of the Geoexploration Company it can be recommended to drill at points S2, S4, and S7 to a depth of 150-160m. Also from the satellite imagery the ground truth is possible. The scope also includes the utilization of water for different purposes. Another scope is to make a GIS master plan for the proposed project. On the basis of master plan it can be shown how many persons are there in the processing plant, how many persons are living in the staff quarters etc. The work can go up to data entry level. That is new data can be entered, old data can be deleted. Same process can be applied in the dairy management, crop management, and individual field practice.

Fig 5: Complex Filter Image of the Area (Scale 1:45037)
|
|
|