Leveraging Bay of Bengal In-situ Data for Cross-Validation of Chlorophyll-a from OCM-3 and PACE
摘要
Satellite-derived ocean colour products, such as chlorophyll-a (chl-a) and coloured dissolved organic matter (CDOM) concentration, are essential for monitoring coastal and marine ecosystems. This study presents a comprehensive validation and inter-sensor comparison of chl-a concentrations derived from the Ocean Colour Monitor-3 (OCM-3) aboard ISRO's EOS-06 satellite and Ocean Colour Instrument (OCI) aboard NASA's Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite. In-situ measurements collected from the Bay of Bengal during the pre-monsoon season were used to validate and assess the accuracy of satellite-derived chl-a data. The correlation between spectrophotometric and High Performance Liquid Chromatography (HPLC) measurements of chl-a was moderate (R2 = 0.57) in the study area, with HPLC-based validation showing better agreement with satellite data compared to spectrophotometric measurements. HPLC is recommended for validating remote sensing chl-a products due to its reliability, especially at lower concentrations (< 0.1 mg m−3). The comparison of both sensors with HPLC data revealed a higher correlation for OCM-3 (R2 = 0.67) compared to PACE (R2 = 0.15), although PACE-OCI exhibited a lower RMSE (0.05 mg m−3) than OCM-3 (0.30 mg m−3). The inter-sensor comparison (R2 = 0.53, log bias = 0.2) highlighted that OCM-3 tended to overestimate chl-a concentrations in the region, while PACE-OCI values were closer to in-situ measurements. These findings provide key insights into the sensor performance of both OCM-3 and PACE-OCI, especially in oligotrophic waters. The regions of low chl-a are often used for calibrating any ocean colour sensor and, therefore, the performance in such areas needs critical assessment.