AG真人百家乐官方网站

Skip to main content
NSF NEON, Operated by Battelle

Main navigation

  • AG真人百家乐官方网站 Us
    • Overview
      • Spatial and Temporal Design
      • History
    • Vision and Management
    • Advisory Groups
      • Science, Technology & Education Advisory Committee
      • Technical Working Groups (TWGs)
    • FAQ
    • Contact Us
      • Contact NEON Biorepository
      • Field Offices
    • User Accounts
    • Staff
    • Code of Conduct

    AG真人百家乐官方网站 Us

  • Data & Samples
    • Data Portal
      • Spatial Data & Maps
    • Data Themes
      • Biogeochemistry
      • Ecohydrology
      • Land Cover and Processes
      • Organisms, Populations, and Communities
    • Samples & Specimens
      • Discover and Use NEON Samples
        • Sample Types
        • Sample Repositories
        • Megapit and Distributed Initial Characterization Soil Archives
      • Sample Processing
      • Sample Quality
    • Collection Methods
      • Protocols & Standardized Methods
      • Airborne Remote Sensing
        • Flight Box Design
        • Flight Schedules and Coverage
        • Daily Flight Reports
          • AOP Flight Report Sign Up
        • Camera
        • Imaging Spectrometer
        • Lidar
      • Automated Instruments
        • Site Level Sampling Design
        • Sensor Collection Frequency
        • Instrumented Collection Types
          • Meteorology
          • Phenocams
          • Soil Sensors
          • Ground Water
          • Surface Water
      • Observational Sampling
        • Site Level Sampling Design
        • Sampling Schedules
        • Observation Types
          • Aquatic Organisms
            • Aquatic Microbes
            • Fish
            • Macroinvertebrates & Zooplankton
            • Periphyton, Phytoplankton, and Aquatic Plants
          • Terrestrial Organisms
            • Birds
            • Ground Beetles
            • Mosquitoes
            • Small Mammals
            • Soil Microbes
            • Terrestrial Plants
            • Ticks
          • Hydrology & Geomorphology
            • Discharge
            • Geomorphology
          • Biogeochemistry
          • DNA Sequences
          • Pathogens
          • Sediments
          • Soils
            • Soil Descriptions
        • Optimizing the Observational Sampling Designs
    • Data Notifications
    • Data Guidelines and Policies
      • Acknowledging and Citing NEON
      • Publishing Research Outputs
      • Usage Policies
    • Data Management
      • Data Availability
      • Data Formats and Conventions
      • Data Processing
      • Data Quality
      • Data Product Bundles
      • Data Product Revisions and Releases
        • Release 2021
        • Release 2022
        • Release 2023
        • Release 2024
        • Release-2025
      • NEON and Google
      • Externally Hosted Data

    Data & Samples

  • Field Sites
    • AG真人百家乐官方网站 Field Sites and Domains
    • Explore Field Sites

    Field Sites

  • Impact
    • Observatory Blog
    • Case Studies
    • Papers & Publications
    • Newsroom
      • NEON in the News
      • Newsletter Archive
      • Newsletter Sign Up

    Impact

  • Resources
    • Getting Started with NEON Data & Resources
    • Documents and Communication Resources
      • Papers & Publications
      • Outreach Materials
    • Code Hub
      • Code Resources Guidelines
      • Code Resources Submission
    • Learning Hub
      • Science Videos
      • Tutorials
      • Workshops & Courses
      • Teaching Modules
    • Research Support Services
      • Field Site Coordination
      • Letters of Support
      • Mobile Deployment Platforms
      • Permits and Permissions
      • AOP Flight Campaigns
      • Research Support FAQs
      • Research Support Projects
    • Funding Opportunities

    Resources

  • Get Involved
    • Advisory Groups
      • Science, Technology & Education Advisory Committee
      • Technical Working Groups
    • Upcoming Events
    • NEON Ambassador Program
      • Exploring NEON-Derived Data Products Workshop Series
    • Research and Collaborations
      • Environmental Data Science Innovation and Inclusion Lab
      • Collaboration with DOE BER User Facilities and Programs
      • EFI-NEON Ecological Forecasting Challenge
      • NEON Great Lakes User Group
      • NEON Science Summit
      • NCAR-NEON-Community Collaborations
        • NCAR-NEON Community Steering Committee
    • Community Engagement
      • How Community Feedback Impacts NEON Operations
    • Science Seminars and Data Skills Webinars
      • Past Years
    • Work Opportunities
      • Careers
      • Seasonal Fieldwork
      • Internships
        • Intern Alumni
    • Partners

    Get Involved

  • My Account
  • Search

Search

Get Involved

  • Advisory Groups
  • Upcoming Events
  • NEON Ambassador Program
  • Research and Collaborations
  • Community Engagement
  • Science Seminars and Data Skills Webinars
  • Work Opportunities
  • Partners

Breadcrumb

  1. Get Involved
  2. Upcoming Events
  3. ESA Workshop: Mapping Ecosystem Changes using NEON Airborne Remote Sensing Data in Google Earth Engine

Event - Workshop

ESA Workshop: Mapping Ecosystem Changes using NEON Airborne Remote Sensing Data in Google Earth Engine

Aug 18, 2022

Hosted By:

Ecological Society of America

Description

This interactive workshop focuses on the use of Google Earth Engine (GEE) to analyze remote sensing data using reproducible science workflows, covering fundamental concepts required to visualize, process, and analyze NEON hyperspectral and LiDAR data. The workshop will highlight specific ecological applications at different spatial and temporal scales. Participants will leave with knowledge of how to use NEON AOP data in GEE, and will be provided with a number of ready-to-use GEE scripts that can be expanded upon to further the participants' research interests.   

Background

Each year the National Ecological Observatory Network鈥檚 Airborne Observation Platform (AOP) collects high-resolution hyperspectral imagery, discrete and waveform lidar, and RGB photography at 81 terrestrial and aquatic sites throughout the United States. The coincident collection of AOP data with over 150 additional NEON data products from both instrumented and observational systems provides a rich resource for carrying out ecological research at multiple scales. However, one of the major barriers to using AOP data has been its sheer volume, which requires computationally intensive and expensive computing resources. Google Earth Engine (GEE) is a free, cloud-based platform that has become a powerful tool for conducting spatial analysis on terabyte-size datasets, such as the NEON airborne data collection. With just an internet connection and a google account, anyone can use GEE to conduct advanced geospatial research.

Prerequisites

Participants should have a basic knowledge of remote sensing and some experience coding in a scientific programming language (eg. Python, R, JavaScript), though coding proficiency is not mandatory. 

Logistics

Date & Time

Thursday, August 18th, 11:45AM - 1:15PM ET

Location

Montr茅al, Qu茅bec, Canada-  

Registration

This workshop is open to participants attending the 2022 Annual ESA Meeting in-person. Registration details can be found on the 2022 ESA 

Workshop Schedule

All times are Eastern Daylight Time (UTC-4). 

Time Topic
11:45 Intro to NEON Airborne Observation Platform
12:00 Intro to the GEE coding environment
12:15 GEE Demo # 1: Exploratory Analysis of Change Detection at SRER
12:45 GEE Demo # 2: Species Classification using Random Forest Modeling at CLBJ
1:00 Additional Resources + Q & A
1:15 Workshop Ends

Workshop Instructors

  • Kate Murphy; Research Scientist; NEON program, Battelle
  • Bridget Hass; Research Scientist; NEON program, Battelle

Please get in touch with the instructors prior to the workshop with any questions.

 

Workshop Materials

To follow along with the workshop you will need:

  • A laptop
  • A gmail (@gmail.com) account
  • An Earth Engine account. You can sign up for an Earth Engine account here: 

Additional Resources:

Please refer to the following tutorials to get started using AOP data in GEE. Some of this content will be covered in the workshop:

  • /resources/learning-hub/tutorials/intro-aop-gee-tutorial
  • /resources/learning-hub/tutorials/intro-aop-gee-sdr-tutorial

Do you Twitter?

Please tweet at @NEON_Sci or use the hashtag #NEONData during this workshop!

Location:

TBD

NSF NEON, Operated by Battelle

Follow Us:

Join Our Newsletter

Get updates on events, opportunities, and how NEON is being used today.

Subscribe Now

Footer

  • AG真人百家乐官方网站 Us
  • Newsroom
  • Contact Us
  • Terms & Conditions
  • Careers
  • Code of Conduct

Copyright © Battelle, 2025

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

Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.