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International Archives of the Photogrammetry, Remote Sensing
information regarding environmental baseline status of the
study area pertaining to physical, human, biological resources,
land use / land cover, and socio-economic attributes which form
important attribute for ESI/RSI maps. Thus, environmentally
effective coastal zone management depends upon accurate and
comprehensive scientific data on which policy decisions can be
based (Nayak et al. 1996).
The study area (Godavari delta) merits special attention from
environmental point of view as this area is rich in oil and
natural gas and is under 0-11 m topographic contour and
appears to be fragile with thick pile of sediments dipping
towards sea and underlain by faults and hence any change in
existing equilibrium would devastate the entire region (Rao,
1998).
2) STUDY AREA AND DATA USED
Extends from Uppada (approx. 10 km North of Kakinada) in the
North along the east coast of India, in the A.P. coastline and
approx. 2 km from the coast and up to the area of tidal influence
in the inland sector.
Kakinada Bay to the east and southeast of Kakinada town
appears to be made up of estuaries of lagoon covering an area of
about 29.sq.kms. Like many other bays, incited near river
mouth it is a shallow water bay. The southern half is too
shallow and depths never exceed 2 meters even in spring tides,
while its northern half is 2 to6 meters deep.
The bay is fringed on the southern side by mud flats and thick
mangrove swamps. The Kakinada spit present on the eastern
side of the bay running north south in direction acts as artificial
embankment. Subba Rao (1967) reports that Kakinada Bay is
mostly occupied with silty clays. He has established three
heavy mineral provinces (a) mica province on the western side
of the spit, (b) hornblende province embracing the bay proper,
the Kakinada spit and Kakinada-Vakalapudi coast; and (c)
garnet — sillimanite province north of Vakalapudi and in the
offshore areas north of Godavari point.
2.1 Satellite Data
The basic satellite data selected corresponds to IRS 1D (LISS-
III) multispectral data of January and February 2002 period.
The exact date of pass is shown in the respective maps prepared.
Survey of India (SOI) topographical maps on 1:50,000 scale is
also used as collateral information during the study.
3) METHODOLOGY
The methodology attempted here is based on digital analysis of
IRS 1D (LISS-III) satellite data on CD using band 1, 2 and 3
bands respectively on 1:50,000 scale, using Erdas software.
The mapping of land use/land cover is carried for 5/2 kms
corridor along the coast, in addition using the physical and land
use/land cover parameters mapping is carried out separately for
the marine and riverine environment as per the ESI
(Environment Sensitivity Index) and RSI (Reach Sensitivity
Index) guidelines. Table 1.
Table 1
REACH SENSITIVITY INDEX
1177
and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004
CLASS DESCRIPTION OF REACH
1 Quiet pool with low-sensitive banks
2 Currents; low-sensitive banks (non-
navigable)
3 Currents; low-sensitive banks
(navigable)
4 Rapids over bedrock (non-navigable)
5 Rapids over bedrock (navigable)
6 Moderately sensitive/low vulnerable
wetlands
5 Highly sensitive/moderately
vulnerable wetlands
8 Straight channel; highly
sensitive/highly vulnerable wetlands
Sinuous channel; highly
9 s ; A
sensitive/highly vulnerable wetlands
Multi-channeled; highly
0 sensitive/highly vulnerable wetlands
Miles O. Hayes, Jacqueline Michel, and Todd M. Montello
Research Planning, Inc., 1121 Park Street, Columbia. South
Carolina 29201
The Marine environment mapping the ESI guidelines used by
oil spill planners and emergency responders is followed. The
shoreline classification (1:50,000 scale) is based en its relative
exposure to wave and tidal energy, shoreline slope, biological
productivity and sensitivity.
The Riverine environment classification is based on the RSI
principles. Reach was defined as distinct and uniform
characteristics within a stretch of stream, which is, based on
spill response modes and potential ecological and / or socio
economic impacts from a spill. The boundary of a reach is
marked by an abrupt change in morphology usually due to
stream gradient. The classification (1:50,000 scale) is showing
reach classification into category class2, 8, 9.and 10. is
indicated in the map. (Refer table 1 for description).
3.1 ENVIRONMENTAL SENSITIVITY INDEX (ESD: -
The Environmental Sensitivity Index (ESD, developed by
Research Planning, INC (RPI), USA senior scientist in 1976,
has become an integral component of oil spill contingency
planning and response in USA and other countries world wide.
Table 2...
Shoreline habitats are at risk during oil spills because of the
likelihood of them being directly oiled when floating slicks
come ashore.