Acquiring Earth science data,


There are numerous sources available for acquiring Earth science data, such as the NASA LAADS DAAC (Level-1 and Atmosphere Archive & Distribution System Distributed Active Archive Center) and the NOAA AWS Big Data Program. This section of the course is dynamic and will be continuously updated with additional data sources such as:

  • USGS Earth Explorer: Provides satellite imagery, aerial photography, and cartographic products.
  • Copernicus Open Access Hub: Offers free and open access to Sentinel satellite data.
  • Earthdata from NASA: Provides access to a wide range of Earth science data sets, including atmospheric, biospheric, and geophysical data.
  • National Snow and Ice Data Center (NSIDC): Offers data on snow, ice, glaciers, and frozen ground.
  • PANGAEA Data Publisher for Earth & Environmental Science: A digital data library and a public data publisher for earth system science.

Please feel free to suggest additional sources that are freely accessible and available online in the comments.

Python is an excellent tool for creating scripts that automate the search and download of Earth science data. In the following sections, we will provide examples and detailed instructions on how to use Python for these tasks, ensuring you can efficiently access and utilize the data from various repositories.

References

Links Site
NASA LAADS DAAC ladsweb.modaps.eosdis.nasa.gov
NOAA Open Data Dissemination Program registry.opendata.aws
PANGAEA pangaea.de