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.
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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.
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Setup Instructions:
The supporting files for use cases are stored in
Datafolder.
| 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 |
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R\tutorials |
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R\tutorials |
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: 05-06-2023
¹Work performed under USGS contract G15PD00467 for NASA contract NNG14HH33I.