Summary of Mapping with Satellite Data (Beyond Landsat and Sentinel-2) - Robert Simmon
The video presented by Robert Simmon discusses advanced mapping techniques using satellite data, focusing on tools beyond the commonly used Landsat and Sentinel-2 datasets. The main emphasis is on the use of a command-line library called GLL (Geospatial Library) for handling complex geospatial data formats.
Key Scientific Concepts and Discoveries:
- Satellite Data Sources: Various international space agencies, including NASA, ESA, and JAXA, produce extensive datasets that can be used for mapping and analysis.
- Data Formats: Commonly encountered formats include NetCDF, HDF, and GRIB, which are multi-dimensional and flexible but can be challenging to work with.
- Metadata Interpretation: Understanding the metadata of datasets is crucial for effective data manipulation and analysis.
- Georeferencing Issues: Many datasets have complex georeferencing that may require adjustments for accurate mapping.
- Batch Processing: The ability to automate processing of multiple datasets through command-line tools.
Methodology for Using GLL:
- Installation: Use a package manager like Miniconda to set up an environment for GLL.
- Reading Metadata: Utilize the
GLL info
command to understand the file structure and parameters. - Parsing Data: Use
GLL translate
to extract specific sub-datasets into a more manageable format (e.g., GeoTIFF). - Scaling Data: For visualization, scale floating-point data to a byte range (0-255) for grayscale representation.
- Fixing Georeferencing:
- Handling Multi-Dimensional Data: For datasets with multiple parameters and time steps, extract individual bands and remap them for conventional projections.
- Batch Processing: Automate the processing of multiple datasets using scripting in a Unix shell.
Researchers or Sources Featured:
- Robert Simmon
- NASA
- ESA (European Space Agency)
- JAXA (Japan Aerospace Exploration Agency)
Notable Quotes
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Category
Science and Nature