A Unified Framework for Analysis-Ready Data generation from Resourcesat-2/2A sensors

Abstract

More than decadal data is archived by the Indian remote sensing satellite Resourcesat-2 series of sensors. This data holds immense potential for long-term terrestrial monitoring. Harnessing its full potential requires systematic organization of all available observations, necessitating rigorous pre-processing efforts.Analysis Ready Data (ARD) products have streamlined the process of accessing and analyzing satellite imagery, fostering interoperability over time and across various datasets enabling a wide range of applications in environmental monitoring, disaster management, agriculture, urban planning, and scientific research. An optimized frame work is defined for Resourcesat-2/2A images to generate ARD products. The product package contains surface reflectance (SR) and top-of-atmosphere reflectance (TOA) along with pixel quality layer and Metadata file. This paper outlines the procedures undertaken, validation of the techniques and analysis of the obtained results. ARD products are validated for both absolute and relative terms with ground measurements and harmonized Landsat and Sentinel (HLS) data sets and the amount of agreement is around 90% and 95% respectively.