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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.

Prerequisites/Setup Instructions

Instructions for setting up a compatible environment for working with AppEEARS API locally or in the cloud are linked to below.

Getting Started

Clone or download the AppEEARS-Data-Resources repository.

  • Download
  • To clone the repository, type git clone https://github.com/nasa/AppEEARS-Data-Resources.git in the command line.

Repository Contents

Content in this repository is divided into Python and R resources including tutorials, how-tos, scripts, Defined modules that will be called from the Python resources, and setup instructionsThe supporting files for use cases are stored in Data folder.

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

Repository Contents Type Summary
COG_AppEEARS_S3_Direct_Access.ipynb Jupyter Notebook Demonstrates how to use AppEEARS Cloud Optimized GEOTIFF (COG) outputs using Python
Point_Sample_AppEEARS_S3_Direct_Access.ipynb Jupyter Notebook Demonstrates how to access AppEEARS point sample Comma-Separated Values (CSV) outputs using Python
AppEEARS_API_Area.ipynb Jupyter Notebook Demonstrates how to use Python to connect to the AppEEARS API to submit and downlaod an area sample
AppEEARS_API_Point.ipynb Jupyter Notebook Demonstrates how to use Python to connect to the AppEEARS API to submit and downlaod a point sample
AppEEARS_API_Area_R.Rmd R Markdown Demonstrates how to use R to connect to the AppEEARS API to submit and downlaod an area sample
AppEEARS_API_Point_R.Rmd R Markdown Demonstrates how to use R to connect to the AppEEARS API to submit and downlaod a point sample
How-to-bulk-download-AppEEARS-outputs.md Markdown Demonstrates how to bulk download AppEEARS outputs using wget from the command line

Helpful Links

Contact Info:

Email: LPDAAC@usgs.gov
Voice: +1-866-573-3222
Organization: Land Processes Distributed Active Archive Center (LP DAAC)¹
Website: https://lpdaac.usgs.gov/
Date last modified: 11-09-2023

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