Analysis of marine aerosol optical depth retrieved from IRS-P4 OCM sensor and comparison with the aerosol derived from SeaWiFS and MODIS sensor

Abstract

Aerosol optical depth is regularly derived from SeaWiFS and MODIS sensor and used by the scientific community in various climatic studies. In the present study an attempt has been made to retrieve the aerosol optical depth using the IRS-P4 OCM sensor data and a comparison has been carried out using few representative datasets. The results show that the IRS-P4 OCM retrieved aerosol optical depth is in good agreement with the aerosols retrieved from SeaWiFS as well as MODIS. The RMSE are found to be ±0.0522 between OCM and SeaWIFS and ±0.0638 between OCM and MODIS respectively. However, IRS-P4 OCM sensor retrieved aerosol optical depth is closer to SeaWiFS (correlation = 0.88, slope = 0.96 and intercept = −0.013) compared to MODIS (correlation = 0.75, slope = 0.91 and intercept = 0.0198). The mean percentage difference indicates that OCM retrieved AOD is +12% higher compared to SeaWiFS and +8% higher compared to MODIS. The mean absolute percentage between OCM derived AOD and SeaWiFS is found to be less (16%) compared to OCM and MODIS (20%).

Comparing the Radiometric Behavior of LISS III Data of IRS 1D and IRS P6 for Landscape Ecological Application

“…Thome et al (1997) and Teillet et al (2000) provided cross calibration procedure for different sensors of LANDSAT satellite. Recent work in this direction includes comparison of the IRS-P6 and the Landsat sensors by Chander et al (2008), intersensor calibration (Pasule et al, 2008;Senthilkumar et al, 2006), effect of radiometric uncertainty in vegetation analysis (Vicente-Serrano et al, 2008;Miura et al, 2000), burn severity detection (Wagtendonk et al, 2004), leaf area index calculation (Soudani et al, 2006), marine aerosol modeling (Mishra et al, 2008).…”