Abstract
Ocean colour spectral observations play a significant contribution in
mapping the earth marine resources through measurements with its
inverted geo-physical/bio-physical parameters.The retrieval of
parameters from the basic sensor measurements highly depend on
atmospheric scattering and absorption of light energy by its
constituents. Hence the quantitative applications using these datasets
directly affected by the uncertainty in radiative transfer modeling
towards atmospheric scattering and absorption and associated sensor
degradation with time. Here authors presented an automation of
radiometric calibration approach for ocean colour monitor of Oceansat-II
(Jan 2017 - Dec 2017) dataset through top of the atmosphere radiance
simulation, a non-linear optimization technique. This algorithm also
provides an alternative approach of calibrating the sensor vicariously
through reduced dependency of systematic congruent in-situ measurements.
Kavaratti in Lakshadweep, India is already a well-known site for
calibrating the ocean colour sensors. The OCM cloud free images over
this calibration site are utilized to perform its radiometric assessment
for the year 2017 using radiative transfer model coupled with
bio-optical model where the synchronous, relevant model inputs are
simulated.