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Retrieval of sea surface velocities using sequential Ocean Colour Monitor (OCM) data

IR@NIO: CSIR-National Institute Of Oceanography, Goa

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Field Value
 
Creator Prasad, J.S.
Rajawat, A.S.
Pradhan, Y.
Chauhan, O.S.
Nayak, S.R.
 
Date 2006-09-05T06:02:46Z
2006-09-05T06:02:46Z
2002
 
Identifier Proc. Indian Acad. Sci. (Earth Planet. Sci.), vol.111(3), 189-195p.
http://drs.nio.org/drs/handle/2264/367
 
Description The Indian remote sensing satellite, IRS-P4 (Oceansat-I) launched on May 26th, 1999 carried two sensors on board, i.e., the Ocean Colour Monitor (OCM) and the Multi-frequency Scanning Microwave Radiometer (MSMR) dedicated for oceanographic research. Sequential data of IRS-P4 OCM has been analysed over parts of both east and west coast of India and a methodology to retrieve sea surface current velocities has been applied. The method is based on matching sus- pended sediment dispersion patterns, in sequential two time lapsed images. The pattern matching is performed on a pair of atmospherically corrected and geo-referenced sequential images by Maximum Cross-Correlation (MCC) technique. The MCC technique involves computing matrices of cross-correlation coefficients and identifying correlation peaks. The movement of the pattern can be calculated knowing the displacement of windows required to match patterns in successive images. The technique provides actual flow during a specified period by integrating both tidal and wind influences. The current velocities retrieved were compared with synchronous data collected along the east coast during the GSI cruise ST-133 of R.V. Samudra Kaustubh in January 2000. The current data were measured using the ocean current meter supplied by the Environmental Measurement and CONtrol (EMCON), Kochi available with the Geological Survey of India, Marine Wing. This current meter can measure direction and magnitude with an accuracy of ±5º and 2% respectively. The measurement accuracies with coefficient of determination (R²) of 0.99, for both magnitude (cm.s-¹) and direction (deg.) were achieved.
 
Format 1016832 bytes
application/pdf
 
Language en
 
Publisher Indian Academy of Sciences
 
Subject Indian remote sensing satellite
Ocean Colour Monitor
 
Title Retrieval of sea surface velocities using sequential Ocean Colour Monitor (OCM) data
 
Type Article