Full text: Resource and environmental monitoring (A)

IAPRS & SIS, Vol.34, Part 7, "Resource and Environmental Monitoring", Hyderabad, India, 2002 
  
  
It is observed that all the four bands show least 
variation during January. Band-1, Band-2 and 
Band-3 show highest variation during July 
whereas the highest variation in band-4 is 
observed during May 1998. Further, comparison 
among the four bands in any particular period 
shows that except during May 1998, Band-4 
radiances show least deviation as compared to 
other bands while the deviation in Band-2 
radiances are maximum as compared to other 
bands during most of the period. Thus, the results 
suggest that the use of band radiance in different 
algorithms and computations of indices are 
limited in Chilka lagoon where the band radiances 
show significant spatio-temporal variability. 
4. CONCLUSIONS 
Submerged vegetation in Chilka lagoon was 
studied using IRS-1B data and synchronous field 
observations. Submerged vegetation in Chilka 
lagoon show distinct annual cycle with the period 
of growth from winter to pre-monsoon and decay 
from later part of pre-monsoon to post monsoon 
season. Both the vegetation coverage and the 
physicochemical parameters in Chilka show 
significant seasonal and interannual variability. 
Variation of vegetation coverage and physico- 
chemical parameter, in time-space continuum, 
lead to the apparent spatio-temporal variability of 
radiance characteristics of submerged vegetation, 
which was studied through BBI and YSI. Both 
BBI and YSI delineate the submerged vegetation 
in the lagoon very well. But it appears that the 
delineation of submerged vegetation is better 
through YSI than BBI. 
Acknowledgements 
This paper. is the result of research projects 
funded by the Department of Space, Government 
of India under ISRO RESPOND programme and 
Department of Ocean Development, Govt. of 
India. 
390 
REFERENCES 
Ben Moussa, H., M. Viollier, and T. Belshert. 
1989. Teledetection des algues 
macrophytes del’Archipel de  Molene 
(France). Radiometrie de terrain et 
application aux donnes du Satellite SPOT. 
International Journal of Remote Sensing 
10, 53-69. 
Pal, S. Rand _ PK. Mohanty. 2002. Use of IRS- 
1B data for change detection in water 
quality and vegetation of Chilka lagoon, 
east coast of India. International Journal 
of Remote Sensing, 23, 1027-1042. 
Patnaik, S.1973. A study of the aquatic plants of 
Chilka Lake. In. Proceeding : of the 
National Academy of Sciences of India. 
43B(1-2), 53-65. 
Sudarshana, R., S. K. Bhan, M. S. Siddiqui, J.P.S. 
Vohra, P. N. Prasad, U. G. Bhat, and B. 
Neelakantan. 1993. Experiments in site 
selection for coastal aquaculture using 
Indian remote sensing satellite : IRS-1A. 
International Journal of Remote Sensing, 
14, 2275-2284. 
Tassan,  S. 1992. An algorithm for: the 
identification of benthic algae in the 
Venice lagoon from Thematic Mapper 
data. International Journal of Remote 
Sensing, 13, 2887 — 2909. 
Mohanty, P. K. and S. R. Pal. 2001. IRS data 
utilisation for estimation of turbidity 
level in Chilka lagoon, east coast of 
India. In Proceeding of 22"^ Asian 
conference on Remote Sensing, Singapore, 
2, 927-932.
	        
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