Volume XLII-5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 499-502, 2018
https://doi.org/10.5194/isprs-archives-XLII-5-499-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 499-502, 2018
https://doi.org/10.5194/isprs-archives-XLII-5-499-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  19 Nov 2018

19 Nov 2018

IMPACT OF OZONE CONCENTRATION ON OCEAN COLOUR RETRIEVALS FOR OCM-2

I. V. G. Bhavani1, T. D. V. P Rao1, A. Das1, S. B. Choudhury1, P. V. Nagamani1, K. V. S. R. Prasad2, and S. K. Sasmal1 I. V. G. Bhavani et al.
  • 1National Remote Sensing Centre, Hyderabad, India
  • 2Department of Meteorology and Oceanography, Andhra University, Visakhapatnam, India

Keywords: OMI / Aura , SeaDAS , OCM-2 , NRT

Abstract. Ozone being an absorbing gas have a significant impact on OCM-2 bands 510nm, 555nm and 620nm which are using for retrieval of major geophysical parameters like Chlorophyll and suspended sediment concentrations. A study has been carried out to analyse the impact of Ozone concentration by ingesting near real time from OMI (Ozone Monitoring Instrument) on Aura instead of Climatology V2013 (2004–13) with a resolution of 1×1 deg for ocean colour retrievals from OCM-2 sensor using SeaWiFS Data Analysis System (SeaDAS). The spectral behaviour of Ozone transmittance has been studied for various bands of OCM-2 by using both Climatology and near real time inputs. We could observe maximum relative error percentage about 12% from Climatology to NRT in Ozone concentration and 0.28%, 0.66% and 0.72% of maximum mean relative error in ozone transmittance at 512nm, 557nm and 620nm. We calculated error budgets induced by ozone in remote sensing reflectance(/sr) where in we could observe mean relative error percentage of 0.52% in 491nm, 1.12% in 512nm and 4.28% 557nm a bands respectively.