Kopernik Pt.2 - Emir Tasan; Mert Bekirogullari; Taha Ucar; Mehmet Ozdemir; Teoman Kaman;

Week 1 02/18/2025

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Summary

 Enhanced recording scripts, updated location/time settings, and automated data acquisition and scheduling. Explored alternative SDR solutions.

Accomplishments

Recording Scripts:  
 - Auto-creation of directories, termination of existing ⁠ rtl_fm ⁠ processes, absolute path usage, and detailed logging.

Script Updates: 
 - Updated ⁠ new.py ⁠ with corrected coordinates, timezone (EST), noise command, and PNG management.

SDR Integration:  
 - Connected SDR to gpredict, adjusted NOAA15 frequency, and tested gqrx as an alternative.

Data Pipeline:  
 - Created “Emir” folder, developed ⁠ n2yo.py ⁠ for data scraping, used ⁠ filter.py ⁠ to refine data, scheduled recordings with ⁠ schedule.py ⁠, and automated the workflow with ⁠ runall.py ⁠.

To Do

 -Test and debug record.py ⁠and automation loop.
 -Resolve remaining SDR and scheduling issues.
 -Fine-tune data processing and logging.

Week 2 02/25/2025

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Summary

 This week, we focused on refining the satellite image processing pipeline, debugging existing scripts, and optimizing the scheduling system. We also improved the prediction and recording workflows to enhance data acquisition reliability.

Accomplishments

Recording & Processing:
 -Successfully tested and confirmed that record_passes generates valid WAV files.
 -Implemented and configured the predict software for our system, ensuring seamless execution.
 -Updated TLE files using schedule_all.sh and calculated satellite pass predictions.
 -Filtered valid satellite passes with an elevation range of 19 to 91 degrees using schedule_satellite.sh.
 -Successfully generated a WAV file with receive_and_process_satellite and processed it into an image.

Script Debugging & Enhancements:
 -Attempted to generate WAV files using the ephem library to predict satellite movement, but encountered issues and decided to halt further development.
 -Identified and resolved an issue in the script where wxotimg was not running in quiet mode, preventing popup interruptions.
 -Tested new WAV files and attempted fixes for mcir and hcvt, which were producing grayscale images instead of colored ones.
 -Confirmed that thermal and sea images generated correctly.

To Do

 -Investigate and resolve why mcir and hcvt images are in grayscale instead of their intended color formats.
 -Debug the missing map overlay in the generated images.
 -Continue optimizing the scheduling and recording processes for improved efficiency.

Week 3 03/04/2025

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Summary

 This week, we focused on improving file organization, satellite data processing, and image management. We refined naming conventions, automated folder-based processing, and enhanced cleanup procedures. Additionally, we integrated new overlays and debugging efforts while ensuring periodic maintenance updates.

Accomplishments

  File Management & Processing:
 -Renamed the satellite to First Satellite for better file naming consistency.
 -Implemented a system to locate corresponding satellite folders and process the latest data in each folder.
 -Introduced an automatic cleanup mechanism that removes images older than 7 days.

 Image Enhancements & Debugging:
 -Added map overlay to the generated images.
 -Identified an issue with fog artifacts in some images that need further fixing.
 -Successfully made MCIR and MCIR-Precip images work.
 -Still need to work on HCVT processing.

 System & Automation Updates:
 -Integrated Teoman’s code into the project.
 -Updated files to automatically clean up every 10 days.
 -Updated the RTL command to improve functionality.
 -Reviewed the WP bot for performance and issues.
 -Adjusted satellite processing logic based on All Pass data.

To Do

 -Fix the fog issue in some images with the map overlay.
 -Continue working on making HCVT processing functional.
 -Further optimize satellite processing to improve efficiency.