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Meteor_decoder

screenshot of Meteor_decoder

A portable decoder for METEOR M weather satellite LRPT signal

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Overview

The portable decoder for METEOR M weather satellite LRPT signals is a specialized tool designed for enthusiasts and professionals working with meteorological data. This software allows users to decode signals received from the Meteor M satellites, offering flexibility in processing and outputting image data. Whether you're a weather satellite aficionado or a researcher analyzing environmental patterns, this decoder streamlines the process of converting raw satellite signals into meaningful visual representations.

With a straightforward compilation process and multiple platform compatibility, it caters to various operating systems, making it accessible to a wide range of users. The functionality includes handling different types of input and customizable output options, ensuring a tailored experience for decoding satellite imagery effectively.

Features

  • Cross-Platform Compatibility: Available for Windows, Linux, Raspberry Pi, and macOS X, ensuring users can operate the software on their preferred systems without issues.

  • Simple Compilation: The decoder requires Free Pascal for compilation, allowing easy integration within different environments without external dependencies.

  • Versatile Input Handling: Accepts 8-bit signed soft samples, 1-bit hard samples, or previously decoded dumps, providing flexibility in starting the decoding process.

  • Customizable Output Options: Users can choose to produce images, hard sample files, or decoded dumps, catering to varied analysis needs.

  • Deinterleave Processing: Specifically designed for handling 80k signals, this feature is essential for correctly processing signals from Meteor M2-2.

  • False Color Imaging: The software can generate visually appealing false color images, which enhance the interpretation of various atmospheric phenomena.

  • Efficient File Management: Decoded dumps are significantly smaller than raw signals, allowing for easier storage and faster re-decoding, which is particularly beneficial for ongoing analysis.

  • Debugging Capabilities: Users can control the level of verbosity in the output, from minimal information to extensive debug details, facilitating troubleshooting and experimentation.