International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004
to geometrically correct the land use map (since its feature
resolution is comparatively higher). The other maps (soil
parameters, elevation, etc.) were then corrected based on the
land use map. Table 5 shows a listing of the sources of data
and other related information used for creation of spatial
database.
Comprehensive databases have been generated for the two
study areas. The databases have been archived as vector layer,
and can therefore be produced as map at selectable scale. The
components of the databases have already been mentioned in
earlier sections. The geographic and feature accuracy of the
Ecological Parameters: Water salinity (Attribute) Data,
Water pH (Attribute) Data, Water :
Temperature (Attribute) Data, Soil type (GIS), Soil pH (GIS),
Seed Availability as Hatchery (GIS), Impact of industry ang
agriculture on water quality (Attribute)
Infrastructure: Railway/Road network (Distance, GIS),
Marketing Facility (Distance,
GIS), Processing facility (Distance, GIS), Power facility for
pumping (Distance, GIS), Drainage facilities for Exchange of
out Water (GIS), Other facilities (Bank, Education, Health,
Internatio
era
(sixth-nintl
selecting S!
the situatio
the lower
percentage
land is seer
specific pal
Total areas
are 75,227
About 38.6
Table 8. Si
databases are high because of the extensive field verifications Fish Co-Operative), (Attribute) Data E
/ surveys using GPS. These databases can be used for any Suit.
applications. Demographic parameters: Peoples economic condition: 94 of Clas
population having income 420Taka/Capita, SITE
A detail description of the model can be found elsewhere development (Attribute), Training facility (Attribute),
(Gupta, 1993). In the present study the parameters considered >
for selection of suitable site for shrimp culture are the Meteorological Parameters: Annual Rainfall (Attribute),
followings: Evaporation Rate (Attribute), Air temperature (Attribute), 3
Wind speed (Attribute), Storm/Dust Frequency (Attribute). D
Engineering Parameters: Topography (GIS), Elevation/Tidal 2
amplitude relationship, brackish water supply I
Table 7.Areas under each of the classes based on weightage for different polygon-based model parameters. b
6
Areas (Hectares) ; D
Class Based | Soil-type Soil-pH Topography Elevation/Tidal 7
on Weightages Amplitude Re
Cox's Khulna- Cox's Khulna- Cox's Khulna Cox's Khulna
Bazar Sathkhira Bazar Sathkhira Bazar Sathkhira | Bazar Sathkhira IS.
0 > - 91315 - 109 - 21252 2843
| 6130 - 19888 15323 46479 - 2022 - Tota
2 84314 3340 33065 63265 18111 = 10265 411
3 35089 66356 3623 73136 73383 - 23868 6794 —
4 22502 99159 149 17131 9953 - 85685 15141 Table 9. A
5 - - - - - - 322 93455
6 : - : : ; : : 73237 Suitability
Classes
Note: - Ranges of the parameter values for each of the 6.1 Cox's Bazaar study area: The results from the
classes are given in section 7.1. application of the model are comprehensive for some specific
- Areas in class 0 are unsuitable part of the study recommendations regarding the present state of the shrimp 5
areas considering the values of the farming, as well as, its future extension. Figure 12 shows the 3
Parameters. suitability map obtained from the application of the GIS 1
- Weightage of topography in Khulna-Sathkhira model. The red polygon is the model application area. s
area belongs to a single class. Comparing to the land use map (figure 2) this map is readily ç
- Data on soil-type and soil-pH of mangrove understandable for validation of the model as well as for ;
forest areas in Khulna- Sathkhira are not future extension of the shrimp farming in this area. However,
available. Area statistics for these two the statistics of the suitability map in table 8 gives quantitative 8
parameters, therefore, do not include these values in this respect. D
areds. Total
In table- 8, the number of suitability classes is nine. The first
6. Model Based Suitability Analysis of the Study Sites and suitability class has a weightage of 67.9% and the last (ninth) Note: -
Assessment of the Present Status of Coastal Shrimp Farm class has the same of 45%. This indicates the wide variation -
Areas of suitability of the land parcels for shrimp farms in this study suitabl
The suitable shrimp farming site selection model (4S Model)
described earlier has been executed in a GIS environment to
analyze the suitability of the two study sites. Such an
operation results in maps of two study sites indicating the
suitability values. A significant variation is observed in
different places over the study sites. A total of 24 parameters
have been considered in the calculation of suitability of the
area. In the following section an area-based analysis has been
presented.
230
area. The first suitability class has very low percentage of
area; the second class has comparatively higher area, but still
considerably lower than the other classes except the last two
(eight and ninth). Thus, it is evident from the percentage
weightages of the majority of the classes (third- seventh) that
the land parcels under suitable class are moderately suitable ın
this study area.
In table-9, existing shrimp beds are seen to be placed to the
higher suitability classes (first-fifth) with considerable higher
percentage than they are placed to the lower suitability classes
area un
