Full text: Resource and environmental monitoring (A)

IAPRS & SIS, Vol.34, Part 7, “Resource and Environmental Monitoring”, Hyderabad, India, 2002 
  
USE OF IRS DATA FOR IDENTIFICATION OF SUBMERGED VECETATION 
IN THE CHILKA LAGOON 
S. R. Pal and P. K. Mohanty" 
Department of Marine Sciences, 
Berhampur University, Berhampur 760 007, Orissa, India 
<pratap_mohanty @yahoo.com> 
  
KEYWORDS: Vegetation, Identification, Spectral, IRS, Image. 
ABSTRACT: 
Studies on the spatio-temporal variability of submerged vegetation in Chilka lagoon have been carried 
out using IRS-1B LISS-1 data as well as synchronous ground truth observations in different seasons. 
The weighted index scheme called, Benthic Biomass Index and Yellow Substance Index have been used 
to delineate the submerged vegetation in the lagoon. The validity of the index has been assessed by 
statistical analyses considering the seasonal variability of radiance characteristics of the submerged 
vegetation in different LISS-1 bands. Areas of submerged vegetation at different periods of study have 
been estimated which show significant seasonal and interannual variability. 
1. INTRODUCTION 
The Chilka (N 19°28'-19°54*, E 85% 06°-85° 35") 
is a shallow coastal lagoon on the east coast of algal bed down to 12m depth in the very 
Indian (Fig. 1) and has been under constant transparent water of the Molene archipelago 
environmental stress due to heavy siltation, (France) using band-1 and band-2 of HRV sensor 
luxuriant weed growth and reduction in salinity, of SPOT. Tassan (1992) used TM data and 
depth and fish yield. In recent years, compelling developed an algorithm for identification of 
evidence has been accumulating which indicates benthic algae in the Venice lagoon which showed 
that macrophyte growth and decay are the major high degree of correspondence with in-situ 
causes of sedimentation in the Chilka at the observations. 
present state of its transformation. Studies have 
indicated that the vegetation is growing at an hg) UE SE SR EX 
alarming rate (Pal and Mohanty, 2002) and thus a TA. x Kalkpayschat uan J |" 
needs immediate attention. The submerged o ¢ 
vegetation in particular, expedites the siltation Mumbai _AThika Lagoon Bhargavi fc 
"E : i NORTHERN 
process, stabilizes the sediment bed and checks SECTOR 
the flushing action of the riverine sediment from 
the lagoon to the sea and allows the lagoon to fill = Repas Paire oo 7 ARAKHAKUDA |_| 
in both by inorganic and organic sediment Barakul SECTOR AE. 3718 
deposit. Therefore, the study on submerged Natabfa ) ey t da rou 
vegetation and its spatio-temporal variability in VR. 
Chilka has assumed utmost significance and is the S ai = Now Mouth 
main objective of the present investigation. SF BAY 
However, change detection of submerged E BENGAL 
vegetation in Chilka is not an easy exercise and 
may pose severe problems due to significant 19 7 d 19KM 5 
spatial and temporal variability of submerged POR ambhd m = x12 
vegetation, presence of other vegetation types 
such as emergent and floating and wide Figure 1: Location map of Chilka Lagoon 
variability of lagoon turbidity. Further, opening 
of the new mouth on September 23, 2000 has 
significantly changed the status of vegetation 
coverage in Chilka lagoon. Therefore it is of 
much interest to compare the status of vegetation 
in the pre and post mouth opening scenarios. In 
  
  
* Corresponding author 
386 
this endeavor, remote sensing can play an 
important role as compared to other conventional 
methods. Ben Moussa et al. (1989) identified 
  
  
   
  
  
  
  
Therefore, it is believed that IRS-1B LISS-1 data 
having ground resolution 72.5 m and spectral 
characteristics (Table 1) matching other satellite 
data would be useful in identifying benthic algae 
in Chilka lagoon. 
  
 
	        
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