/LPDAAC-Data-Resources

This repository is a place to find data user resources that demonstrate how to use LP DAAC tools, services, and data.

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

NASA Land Processes Distributed Active Archive Center (LP DAAC) Data Resources

This repository is a place to find data user resources that demonstrate how to use LP DAAC tools, services, and data.

Content include in this repository are listed below.

Repository Contents Type Summary
Data_Discovery_CMR_API_Request.ipynb Jupyter Notebook Demonstrates how to search for Earthdata data collections and granules using CMR API and Request Python package
Data_Discovery_CMR_API_Bulk_Query.ipynb Jupyter Notebook Demonstrates how to search and extract data URLs for an entire collection using Python's asyncio package
bulk_download_using_curl.md Markdown Demonstrates how to bulk download LP DAAC data using Curl from command line
bulk_download_using_wget.md Markdown Demonstrates how to bulk download LP DAAC data using Wget from command line

The other guides, tutorials, how-tos and scripts can be accessed in our mission specific repositories.

Resource Repository Summary Services and Tools
AppEEARS Data Resources How to use the Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) Tutorials, AppEEARS API, Direct S3 Access
EMIT Data How to find, access, and work with EMIT data (Earth Surface Mineral Dust Source Investigation) Tutorials, Scripts, Direct S3 Access
GEDI Data How to find, access, and work with GEDI data (Global Ecosystem Dynamics Investigation) Tutorials
HLS Data How to find, access, and work with HLS data (Harmonized Landsat Sentinel-2) Tutorials, Scripts, Direct S3 Access
ECOSTRESS Data How to find, access, and work with ECOSTRESS data (The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station) Tutorials, Scripts, Direct S3 Access
VITALS How to find and work with EMIT and ECOSTRESS data together Tutorials