Could Quantum Machine Learning Enhance Rocketry AI?:  Introduction to Earthdata & Tools to Get You Started
Creators: name: Elizabeth R. Joyner
name: James Acker
name: Brianna Lind
Publisher: name: Zenodo
Year: 2024

description: This DOI represents recent presentations by Elizabeth Joyner, Dr. James Acker, and Dr. Bri Lind for the following audiences:



Staffordshire University London, Feb. 8, 2024

UK National Student Space Conference, University of Bristol, March 3


Goals:



Provide overview of NASA's atmospheric and topography data and tools

Present demo of NASA Giovanni and AppEEARS tools


Finding Data that you Need



Earthdata Homepage

To learn more about remote sensing, we encourage you to check out the ARSET training: 'Fundamentals of Remote Sensing" 


NetCDF



What is this format?



Data Curation Format Profile: netCDF, University of Michigan



How do I use these files?



Visit the GIS Data Pathfinder for steps required to use NASA netCDF files.

The NASA Panoply program can be used to use NetCDF files:



Panoply is a Java application available for PC, Mac, and Linux 

Help: Links to Panoply How-To's






GeoTIFF



What is this format?



Visit the GIS Data Pathfinder for steps required to use NASA GeoTIFF files.

Data Curation Format Profile: GeoTIFF, University of Michigan



How do I use these files?



GeoTIFFs are used with QGIS, as well as USGS’s dlgv32, Esri ArcGIS suite, ERDAS, MapInfo, Global Mapper, Python, R




Introduction to Giovanni

Dr. James "Jim" Acker, james.g.acker@nasa.gov





General Resources:



Giovanni requires the use of Earthdata Login account. Information for how to sign up for an account can be found here.

Giovanni Tutorials (type Giovanni into the search bar) 

Giovanni User Guide  




Introduction to AppEEARS:

Dr. Bri Lind, blind@contractor.usgs.gov





General Resources:



Tutorial:Simplify and Streamline your Data Workflow with AppEEARS!

How to extract point and area data samples using AppEEARS - This step-by-step tutorial demonstrates how to access MODIS and SMAP data using the Application for Extracting and Exploring Analysis Ready Samples (AppEEARS). AppEEARS allows users to access, explore, and download point and area data with spatial, temporal, and parameter subsets. Interactive visualizations with summary statistics of the sample results allow the user to preview and interact with their sample before downloading the data. NSIDC DAAC data sets available in AppEEARS include:

AppEEARS requires the use of Earthdata Login account. Information for how to sign up for an account can be found here.

Geojson file resource





Programming Tools:



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.





Through the API users can submit and download point and area requests, as well as utilize other AρρEEARS services via the command line, or within programming languages such as R and Python. The R Markdown AρρEEARS API tutorials are the most recent additions to the previously available LP DAAC AρρEEARS API resources. The intent of these tutorials is to familiarize R users with the AρρEEARS API. The tutorials provide a detailed description of how to connect to the AρρEEARS API, query the list of available products, submit point or area sample requests, download request outputs, work with the AρρEEARS Quality API, and load the results into R for visualization.




R Tutorials:

• Getting Started with the AρρEEARS API (Point Request) in R Markdown




• Getting Started with the AρρEEARS API (Area Request) in R Markdown




Python Tutorials:

•Getting Started with the AρρEEARS API: Submitting and Downloading Point and Area Requests in Python Using

Jupyter Notebooks:



AρρEEARS point requests

AρρEEARS area requests




Using AppEEARS Quality Service to Extract Information from MODIS Quality Layers: This  tutorial demonstrates how to leverage the Application for Extracting and Exploring Analysis Ready Samples API quality service to decode the quality data associated with LP DAAC products. Presented as a Jupyter Notebook, users can follow the step-by-step instructions to learn how to access and use the quality web service for decoding Moderate Resolution Imaging Spectroradiometer (MODIS) data products from the LP DAAC data archive.



 





Earthdata Support 



Overview of NASA Resources for Supporting Users back at the Office



Overview of Earthdata Forum



Earthdata Forum 



The Earthdata Forum provides a central online location where data users can interact with subject matter experts from DAACs to discuss data applications and research needs, and get answers to specific questions about accessing, viewing, and manipulating NASA Earth observation data.



Tutorials



NASA Earthdata Forum Quick Video Guide: Menu Features

NASA Earthdata Forum Quick Video Guide: How to Post a New Question

NASA Earthdata Forum Quick Video Guide: Faceted Search

NASA Earthdata Forum Quick Video Guide: Favorite Tags

Webinar: NASA's Earthdata Forum Connect to a Growing Body 














Getting Help/Support



Use the Contact Us button on the Earthdata website to let us know if you re having problems, a page is not working how it should, or if you need help with our resources.  Email: support@earthdata.nasa.gov



Here you can submit a ticket that will be filtered and triaged to the appropriate discipline-specific data center or subject matter expert(s). Email: support@earthdata.nasa.gov 



Getting Started Guide



Whether you are a scientist, an educator, a student, or just interested in learning more about how to use all of the openly accessible data in NASA's EOSDIS collection, we have the resources to help! This guide is designed to help you get started with NASA's Earth science datasets, services, and tools.







Programming Tools:



The Earthdata Developer Portal is for application developers who wish to build applications that search, access, and browse Earth science data hosted by NASA's Earth Observing System Data and Information System (EOSDIS)

earthaccess is a Python library to search, download, or stream NASA Earth science data with just a few lines of code

NASA Earthdata Cloud Cookbook



Tutorials