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

Impact

  • Observatory Blog
  • Case Studies
  • Papers & Publications
  • Newsroom

Breadcrumb

  1. Impact
  2. Observatory Blog
  3. AOP covers ground with 166 flight hours in 2015

AOP covers ground with 166 flight hours in 2015

October 13, 2015

The NEON Airborne Observation Platform (AOP) team recently wrapped up their fourth flight season.

The AOP collects remote sensing data over NEON field sites annually using sensors mounted on a Twin Otter aircraft: sensors consist of a hyperspectral imaging spectrometer, a full waveform and discrete return LiDAR, and a high-resolution Red, Blue Green (RGB) camera. Learn more about NEON airborne remote sensing collection methods and instruments here.

How much ground did the NEON AOP cover this summer?

Over four months this summer, while targeting peak greenness, the AOP team:

  • Conducted five flight campaigns
  • Collected AOP data for two domains (D07, D08), totalling 6 NEON field sites
  • Conducted calibration and test flights in D10 to evaluate the performance existing sensors and three new sensors: Riegl LiDAR, Riegl camera and Solar Spectral Irradiance Monitor (SSIM)
  • Conducted 76 flights totaling 166 hours

2015 airborne data are available now

Data from the AOP build a robust time series of landscape-scale changes in numerous physical, biological and biochemical metrics, such as vegetation cover and density, canopy chemistry, and topography, including elevation, slope and aspect. Explore and request airborne data.

A team effort in the air and on the ground

For the flight team members, flight days may last up to 12 hours. Each flight is carefully orchestrated and requires two pilots, two airborne sensor operators and one ground crew coordinator. Staff Scientist John Musinsky works closely with the AOP team to design flight plans to ensure the payloads collect remote sensing data over specific areas in order to provide ecologically relevant data that enable scaling of in situ observations to regional and continental-scale models.

Where possible, a NEON AOP field team also collects ground data to facilitate validation and calibration of the airborne instrumentation. Air and ground crews must form a cohesive team and be in constant contact to ensure that the timing and location of field samples are insync with overflights. Data collected from the field are also made available for download when requesting airborne data.

What鈥檚 up in the air (literally) for AOP in 2016?

In 2016, the AOP is scheduled to collect airborne remote sensing data over a five-month period. Eventually, the AOP will consist of two payloads divided between the eastern and western United States and a third payload to facilitate Principal Investigator research.

Share

Related Posts:

New code release: neonutilities package available in Python

September 24, 2024

NEON Data Release 2025 is available

January 29, 2025

AOP Data Availability Notification 鈥� Release 2025

January 10, 2025

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.