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.
- 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.
Instructions for setting up a compatible environment for working with AppEEARS API locally or in the cloud are linked to below.
Clone or download the AppEEARS-Data-Resources repository.
- Download
- To clone the repository, type
git clone https://github.com/nasa/AppEEARS-Data-Resources.gitin the command line.
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 |
- AppEEARS Website
- Available Products in AppEEARS
- AppEEARS Documentation
- AppEEARS API Documentation
- LP DAAC Website
- LP DAAC GitHub
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: 11-09-2023
¹Work performed under USGS contract G15PD00467 for NASA contract NNG14HH33I.
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