Snowy Dove: An open-sourcetoolkit for pre- processing of Chinese Gaofen series data

Area of Science:

• Earth Science
• Remote Sensing Technology
• Geospatial Data Analysis

Background:

• China's High-resolution Earth Observation System (CHEOS) program has led to significant advancements in satellite remote sensing.
• The CHEOS program generates vast amounts of engineering data from numerous sensors, necessitating efficient data processing.
• Processing engineering data to physical data is crucial for subsequent analysis and interpretation in remote sensing applications.

Purpose of the Study:

• To develop a user-friendly, one-click batch pre-processing toolkit for CHEOS remote sensing data.
• To address the challenge of handling large data streams generated by the CHEOS program.
• To facilitate the conversion of raw engineering data into usable physical data for researchers.

Main Methods:

• Development of a one-click batch pre-processing toolkit utilizing IDL language and environment.
• Integration of IDL with other programming languages to enhance functionality.
• Focus on efficient processing of engineering data from Gaofen (GF) series satellites.

Main Results:

• Successful creation of a toolkit capable of one-click batch pre-processing of CHEOS remote sensing data.
• Demonstration of the toolkit's ability to convert engineering data to physical data.
• Presentation of application examples using data from multiple CHEOS satellites.

Conclusions:

• The developed toolkit effectively manages and processes large volumes of CHEOS remote sensing data.
• This tool streamlines the pre-processing workflow, making satellite data more accessible for analysis.
• The toolkit supports the broader utilization of data from China's High-resolution Earth Observation System.