4 - Central Institute of Brackishwater Aquaculture
4 - Central Institute of Brackishwater Aquaculture
4 - Central Institute of Brackishwater Aquaculture
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National Workshopcum-Training on Bldnformaticr and Information Management in <strong>Aquaculture</strong><br />
The long term management plan can be prepared based on the remote sensing<br />
data supported by ancillary data for habitat protection tourist attraction and eco<br />
development for the livelihood <strong>of</strong> the people. "Nal Sarovar" <strong>of</strong> Gujarat, India was<br />
monitored with the help <strong>of</strong> remote sensing for waterfowl habitat management.<br />
14.5 Management <strong>of</strong> resource wise and location wise data<br />
Assessment <strong>of</strong> fisheries resources and estimation <strong>of</strong> production are the most<br />
required research area. Time series data <strong>of</strong> various resources (like estuaries,<br />
reservoirs floodplain wetland) at various level (national, state and district) are<br />
being considered for this purpose. Creating this database in vector GIs has got<br />
many advantage in understanding not only temporal trends in fisheries growth<br />
but also gives spatial patterns. Further tool GIs gives will be useful in mapping<br />
these trends.<br />
Now more than ever, decision makers at all levels need an increasing amount <strong>of</strong><br />
information to help them understand the possible outcomes <strong>of</strong> their decision by<br />
integrating the data from different sources and types. Due to integration various<br />
statistical tools its give more liberty to decision maker and researchers to analyze<br />
the data.<br />
14.6 Development <strong>of</strong> Inventory<br />
In the fisheries sector <strong>of</strong> India, to develop a proper inventory is quite<br />
challengeable and Herculean task. The Indian estuaries have tremendous<br />
potential but production is quite below the predicted one. Due to lack <strong>of</strong> catch<br />
and inventory data the assessment <strong>of</strong> production became very difficult. By<br />
creating various thematic map based on biomass, salinity, mesh/Gear, craft and<br />
historical catch data its became easy to analyze and predict the production. Land<br />
use pattern, change in land use pattern, sediment deposition all can be<br />
monitored and quantified with the application RS and GIs. Even though this<br />
technology were used by Carrie Smith and others for linkage between change in<br />
estuarine vegetation and salinity. They found GIS and aerial photographs are<br />
very much useful for mapping <strong>of</strong> estuarine vegetation.<br />
GIs is useful in assembling <strong>of</strong> wide ranges <strong>of</strong> data sources. Readily available<br />
sources <strong>of</strong> GIs data such as Coastline political boundaries are frequently used<br />
data. Many time Census data also used in GIs for analysis. Land use / land cover<br />
is either obtained from previous compilation or interpret from satellite data.<br />
Catchments boundaries based on DEM or delineated from relief maps. GIS also<br />
use available data to generate Information like rainfall and run<strong>of</strong>f.<br />
Water body information system <strong>of</strong> West Bengal that was developed at CIFRI also<br />
used the RS data (LISS 111) and GIS and found for preparing inventory <strong>of</strong> water<br />
bodies RS data and GIs are very much'useful. This information system able to<br />
give the spatial information (latitude longitude nearest village block district water<br />
area and shape) <strong>of</strong> water bodies which have the water area more then 10 ha.<br />
14.7 Monitoring <strong>of</strong> mangrove forest<br />
Mangrove forests form one <strong>of</strong> the primary coastal ecosystems in the tropical and<br />
subtropical region <strong>of</strong> the world. They are biologically diverse and have therefore