STAR Atmospheric Composition Product Training
Featuring Aerosol, Fire, and Trace Gas Satellite Products from ABI, VIIRS, TROPOMI & TEMPO
STAR Atmospheric Composition Product Training
Home
Training Courses
Software
Download & Install Anaconda
Create a Python Environment
Install nb_conda_kernels Package
Set-Up Jupyter Notebook
Download & Install Panoply
Python Tutorials
Download »
Level 2 Files from AWS
Download »
Level 2 Aerosol Files from AWS
Download Level 2 Files from S5P Data Hub
Accessing Data: Short Demos »
Set OS-Agnostic Directory Paths for Files
Unpack VIIRS .tar Files from CLASS
Open a .nc File using the netCDF4 Library
Processing Data: Short Demos »
Calculate ABI Lat/Lon from GOES Imager Projection
Satellite Data
Understanding Satellite Data »
Data Processing Levels
Product Maturity Levels
Operational vs. Reprocessed Data
ABI Scan Modes
ABI Scan Sectors
GOES Imager Projection
VIIRS Granules
Decoding Satellite File Names
netCDF4 File Structure
Atmospheric Composition Product Documentation »
ABI Products
VIIRS Products
TEMPO Products
TROPOMI Products
Satellite Data Archives »
ABI Data
VIIRS EDR (granule) Data
VIIRS Gridded Data
TEMPO Data
CLASS
Glossary
Reference Links
Training & Demonstration Videos
Satellite/Sensor Resources
Atmospheric Composition Imagery Websites
Satellite Blogs
Anaconda Resources
Python Standard Library Documentation
Cartopy Package Documentation
Matplotlib Package Documentation
NumPy Package Documentation
pandas Package Documentation
S3Fs Package Documentation
xarray Package Documentation
Documentation for Other Python Packages
Bhaag Milkha Bhaag Mkvmoviesking Better [BEST]
