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AppEEARS-Data-Resources

Welcome to the AppEEARS-Data-Resources repository. This repository provides resources and tutorials to help users work with AppEEARS programmatically. This repository also includes notebooks showing how to access and work with AppEEARS outputs directly in the Cloud.

Please note that in the interest of open science this repository has been made public but is still under active development.

Requirements

  • Earthdata Login Authentication is required to access AppEEARS API and AppEEARS outpurs direcrly from an Amazon AWS bucket. If you do not have an account, create an account here.

  • Setup Instructions:

Repository Contents

The supporting files for use cases are stored in Data folder.

Repository Folders Summary
**Data** Supporting files for use cases
**Python** Python resources including tutorials, how-tos, scripts, Defined modules that will be called from the Python resources, and setup instructions
**R** R resources including tutorials, how-tos, scripts, Defined modules that will be called from the R resources, and setup instructions

Python and R resources stored in this repositories are listed below:

Repository Contents Summary Path
COG_AppEEARS_S3_Direct_Access.ipynb Jupyter Notebook demonstrating how to use AppEEARS Cloud Optimized GEOTIFF (COG) outputs using Python Python\tutorials
COG_AppEEARS_S3_Direct_Access.html HTML export of Jupyter Notebook demonstrating how to use AppEEARS Cloud Optimized GEOTIFF (COG) outputs using Python Python\tutorials
Point_Sample_AppEEARS_S3_Direct_Access.ipynb Jupyter Notebook demonstrating how to access AppEEARS point sample Comma-Separated Values (CSV) outputs using Python Python\tutorials
Point_Sample_AppEEARS_S3_Direct_Access.html HTML export of Jupyter Notebook demonstrating how to access AppEEARS point sample Comma-Separated Values (CSV) outputs using Python Python\tutorials
AppEEARS_API_Area.ipynb: Jupyter Notebook demonstrating how to use Python to connect to the AppEEARS API to submit and downlaod an area sample Python\tutorials
AppEEARS_API_Area.html: HTML demonstrating how to use Python to connect to the AppEEARS API to submit and downlaod an area sample Python\tutorials
AppEEARS_API_Point.ipynb: Jupyter Notebook demonstrating how to use Python to connect to the AppEEARS API to submit and downlaod a point sample Python\tutorials
AppEEARS_API_Point.html: HTML demonstrating how to use Python to connect to the AppEEARS API to submit and downlaod a point sample Python\tutorials
R\tutorials
R\tutorials
R\tutorials

Helpful Links

Contact Info:

Email: [email protected]
Voice: +1-866-573-3222
Organization: Land Processes Distributed Active Archive Center (LP DAAC)¹
Website: https://lpdaac.usgs.gov/
Date last modified: 05-06-2023

¹Work performed under USGS contract G15PD00467 for NASA contract NNG14HH33I.