System Design & Implementation of Automated Batch Processing Software for EOS-04 SAR Data: Optimizing Radiometric Parameters Estimation

Generally, batch processing concurrently executes multiple jobs in sequential order, breaking down large tasks into smaller parts for efficient offline processing, reducing resource consumption and processor stress. This research paper introduces an automated approach for batch processing of systematic EOS-04 microwave satellite data coverage over Indian region to extract radiometric parameters. Additionally, it discusses batch processing of EOS-04 data over homogeneous rain forests (Amazon, Congo region) to compute gamma naught patterns. A software has been developed with user-friendly Graphical User Interface (GUI) to automate the radiometric analysis of multi-year time series data for the selected opportunistic homogeneous themes. Users can choose an area of interest from a drop-down menu, providing the software with the geographical coordinates needed to process each file in the parent folder for estimating analysis parameters. The extracted parameters are then utilized to perform time series analyses & subsequently stored in a database for future retrieval. The developed GUI features a real-time progress bar for batch processing, allowing users to monitor task progression efficiently. Additionally, the system automatically notifies predefined user IDs and phone numbers via emails and Short Message Service (SMS) alerts upon task completion, providing details on successfully processed files and identifying any failures for streamlined issue resolution. By automating the batch processing of EOS-04 data, this research significantly reduces manual efforts previously required for calibration and validation analysis of large volumes of Synthetic Aperture Radar (SAR) data. The proposed system enhances efficiency, accuracy, and ease of use, offering a valuable tool for researchers involved in SAR sensor data analysis and monitoring.