CyVerse NEON Airborne Observation Platform Workshop
Location: ENR2 Room N595
Times: 09:00 - 17:00 MST, UTC-7
Date: Friday November 19th 2021
Ready to join the workshop? Follow these steps:
Step 1: Create CyVerse Account (free) CyVerse User Portal
Please use your institutional email address, and if you don’t have an ORCID ID - sign up for one of those too, they’re super important and valuable!
Step 2: Sign up for Workshop Workshop Enrollment
Step 3: Review this website – training materials will be posted or linked from here
Goal
The goals of the workshop are to allow you as new data scientists to leave with an understanding of the NEON Data API and working with NEON AOP data and to introduce CyVerse as a platform for conducting data intensive scientific research.
You will have opportunities to work in your preferred Integrated Development Environment (IDE) in the public research cyberinfrastructure. CyVerse enables you to work with large and very large analyses. You will be able to work with NEON AOP data across many sites and many years worth of data without ever having to “download” anything over your local internet service provider.
Tutorial Maintainer(s)
Who to contact if this guide needs fixing.
Maintainer |
Institution |
GitHub Username |
---|---|---|
Tyson Swetnam |
CyVerse / University of Arizona |
|
Bridget Hass |
NEON / Battelle Inc |
|
Content Links
Use the table of contents on the left side of the page to navigate
Prerequisites
Downloads, access, and services
In order to complete this tutorial you will need access to the following services/software
Prerequisite |
Preparation/Notes |
Link/Download |
---|---|---|
You will need a CyVerse account to use our tools |
||
CyberDuck File manager (Windows and Mac OS X only) |
||
GitHub allows you to create your own version controlled repositories |
||
Google Earth Engine (GEE) code editor account |
Platform(s)
We provide ready-to-use examples of (1) Docker containers with pre-configured geospatial software environments, (2) Notebook examples of NEON AOP geospatial data analyses, & (3) ReadTheDocs style documentation that will allow for self-paced asynchonous learning as well as opportunities for in-person live coding.
We will use the following CyVerse platform(s):
Platform |
Interface |
Link |
Platform Tour |
---|---|---|---|
Data Store |
GUI/Command line |
||
Discovery Environment |
Web/Point-and-click |
||
Learning Center |
ReadTheDocs |
This website |
Application(s) used
Discovery Environment App(s):
App name |
Version |
Description |
Quick Launch |
GitHub repositories |
---|---|---|---|---|
RStudio |
|
Rocker Project RStudio with geospatial applications pre-installed |
||
JupyterLab |
|
Jupyter Lab Data Science Notebook with geospatial applications pre-installed |
||
GIS Desktop |
|
Ubuntu Desktop with QGIS, GRASS-GIS, SAGA-GIS, PDAL, & GDAL tools |
Input and example data
In order to complete this tutorial you will need to have the following inputs prepared
Input File(s) |
Format |
Preparation/Notes |
Example Data |
---|---|---|---|
various |
Use in browser or R Studio Shiny App |
||
Sample Datasets |
various |
Example datasets cached on the CyVerse Data Store |
Fix or improve this documentation
Search for an answer: CyVerse Learning Center
Ask us for help: click on the lower right-hand side of the page
Report an issue or submit a change: Github Repo Link
Send feedback: learning@CyVerse.org