Data Processing Chain and Products of EOS-06 OCM-3 Payload From Signal Processing to Geometric Precision

TL;DR

This paper details the comprehensive data processing pipeline of EOS-06 OCM-3 satellite, highlighting calibration, correction, and geometric techniques that produce high-quality ocean observation data for environmental monitoring.

Contribution

It introduces advanced calibration and processing methodologies for OCM-3, improving data accuracy and reliability over previous ocean color sensors.

Findings

SNR performance exceeded specifications through onboard and ground processing.

Geolocation accuracy within specified thresholds achieved using advanced registration techniques.

Calibration procedures significantly enhanced data quality for ocean monitoring.

Abstract

The Ocean Color Monitor-3, launched aboard Oceansat-3, represents a significant advancement in ocean observation technology, building upon the capabilities of its predecessors. With thirteen spectral bands, OCM-3 enhances feature identification and atmospheric correction, enabling precise data collection from a sun-synchronous orbit. With thirteen spectral bands, OCM-3 enhances feature identification and atmospheric correction, enabling precise data collection from a sunsynchronous orbit. Operating at an altitude of 732.5 km, the satellite achieves high signal-to-noise ratios (SNR) through sophisticated onboard and ground processing techniques, including advanced geometric modeling for pixel registration.The OCM-3 processing pipeline, consisting of multiple levels, ensures rigorous calibration and correction of radiometric and geometric data. This paper presents key methodologies such as dark data modeling, photo response non-uniformity correction, and smear correction, are employed to enhance data quality. The effective implementation of ground time delay integration (TDI) allows for the refinement of SNR, with evaluations demonstrating that performance specifications were exceeded. Geometric calibration procedures, including band-to-band registration and geolocation accuracy assessments, which further optimize data reliability are presented in the paper. Advanced image registration techniques leveraging Ground Control Points (GCPs) and residual error analysis significantly reduce geolocation errors, achieving precision within specified thresholds. Overall, OCM-3 comprehensive calibration and processing strategies ensure high-quality, reliable data crucial for ocean monitoring and change detection applications, facilitating improved understanding of ocean dynamics and environmental changes.