AppEEARS Data Resources

Details:

Published: Sept. 22, 2023

Background

The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) is a simple tool to subset geospatial data spatially, temporally, and by layer through area and point requests. Interactive visualizations, summary statistics, quality information enable individuals to preview data from their requests prior to download. While AppEEARS is frequently accessed through an interative website, programatic access is also available through an API.

The AppEEARS Data Resources GitHub repository provides guides, short how-tos, and tutorials to help users access and work with AppEEARS programatically. In the interest of open science, this repository has been made public and is open to contributions. The repository is actively maintained by the LP DAAC. All resources should be functional; however, changes or additions may be made. We encourage users to periodically check the repository for resource updates.

Resources

Below are data use resources available for AppEEARS.

Python

Name Type Summary
Explore the AppEEARS API Jupyter Notebook Use the AppEEARS API to query products and layers, to make, check, access, and visualize data requests, and to explore data quality
How to: AppEEARS API Point Requests Jupyter Notebook Use the AppEEARS API to perform point requests programatically
How to: AppEEARS API Area Requests Jupyter Notebook Use the AppEEARS API to perform area requests programatically
Exploring Cloud Optimized Geotiffs (COGs) Jupyter Notebook Request, access and plot data from COGs in AppEEARS

R

Name Type Summary
How to: AppEEARS API Point Requests R Markdown Use the AppEEARS API to perform point requests programatically
How to: AppEEARS API Area Requests R Markdown Use the AppEEARS API to perform area requests programatically

Command Line Interface

Name Type Summary
How to: Bulk download AppEEARS requests Markdown Use wget to bulk download AppEEARS outputs

Relevant Products

Product Long Name

Tools

Name Filters Description
AppEEARS Decode Quality, Order, Search, Subset

The Application for Extracting and Exploring Analysis Ready Samples (AρρE…

Data Prep Scripts Direct Download, Subset, Web Service

This collection of R and Python scripts can be used to download data and …