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  1. Get Involved
  2. Upcoming Events
  3. Data Skills Webinar: Work with NEON Hyperspectral Data in Google Earth Engine

Event - Webinar

Data Skills Webinar: Work with NEON Hyperspectral Data in Google Earth Engine

May 30 2023 | 12:00 - 1:00pm MDT

Hosted By:

NEON

In this 1.5-hour online workshop, NEON scientist Bridget Hass will present live-coding exercises on working with the NEON Airborne Observation Platform spectral reflectance data, which can now be accessed through Google Earth Engine (GEE). Participants will learn some basic GEE workflows for visualizing and pre-processing the spectral data (eg. masking bad weather data). For the first hour, participants can follow along with the live coding on their own computers and ask for help via chat if needed. Live coding will be run in the Earth Engine code editor, using the GEE JavaScript API. The final 30 minutes are reserved for general Q&A and assistance.

Programming language: Google Earth Engine (JavaScript)

Prerequisites: Basic familiarity JavaScript is helpful, but not required. Some coding experience in any language (eg. R, Python) is recommended.

Requirements for participation: Prior to the webinar, you will need to register for an Earth Engine account, which is free for research applications. You can sign up here. If you have never used the Code Editor, or JavaScript, we also recommend reviewing the GEE JavaScript Quickstart documentation.

To test that you are registered and can read in AOP data, please click on this link: https://tinyurl.com/neon-gee-test, which will open the Earth Engine code editor and run some lines of code that read in AOP Image Collections.

If you have any questions or run into any issues registering for Earth Engine, you can reach out to us via the Contact Us page.

This workshop is part of the ongoing data skills and science seminar webinar series. Learn more about our Data Skills Webinars and Science Seminars HERE.

Location:

TBD

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The National Ecological Observatory Network is a major facility fully funded by the U.S. National Science Foundation.

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