Satellite Challenges

Solution
What are technical challenges inhibiting large-scale use and application of satellite data?
Despite public accessibility and near-real-time availability, widespread application of satellite data still presents technical barriers. Satellite data, particularly in their unprocessed form, are large and require significant computational resources to store and parse. Thus, visualizing and analyzing satellite data for specific applications requires at least basic proficiency in data analysis software or coding languages. Satellite data products are also typically formatted in netCDF or hdf formats, which may not be familiar for practitioners with less coding experience. Lastly, satellite orbital paths differ for each day, resulting in...
What are technical challenges inhibiting large-scale use and application of satellite data?
Despite public accessibility and near-real-time availability, widespread application of satellite data still presents technical barriers. Satellite data, particularly in their unprocessed form, are large and require significant computational resources to store and parse. Thus, visualizing and analyzing satellite data for specific applications requires at least basic proficiency in data analysis software or coding languages. Satellite data products are also typically formatted in netCDF or hdf formats, which may not be familiar for practitioners with less coding experience. Lastly, satellite orbital paths differ for each day, resulting in varying grid structures. Thus, particularly for applications involving comparison with model simulations or other custom grids, satellite data is re-gridded into a Level 3 product.
- Eliot Kim
 
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