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  1. 3501

    Plot a Spectral Signature from Reflectance Data in Python

    Plot a Spectral Signature from Reflectance Data in Python In this tutorial, we will learn how to extract and plot a spectral profile from a single pixel of a reflectance band in a NEON hyperspectral HDF5 file. This tutorial works with NEON's Level 3 鈥�
  2. 3502

    Assessing Spectrometer Accuracy using Validation Tarps with Python

    Assessing Spectrometer Accuracy using Validation Tarps with Python In this tutorial we will learn how to retrieve reflectance curves from a pre-specified coordinate in a NEON AOP HDF5 file, retrieve bad band window indexes and mask portions of a 鈥�
  3. 3503

    Hyperspectral Variation Uncertainty Analysis in Python

    Hyperspectral Variation Uncertainty Analysis in Python This tutorial teaches how to open a NEON AOP HDF5 file with a function, batch processing several HDF5 files, relative comparison between several NIS observations of the same target from different view 鈥�
  4. 3504

    Calculate Vegetation Biomass from LiDAR Data in Python

    Calculate Vegetation Biomass from LiDAR Data in Python In this tutorial, we will calculate the biomass for a section of the SJER site. We will be using the Canopy Height Model discrete LiDAR data product as well as NEON field data on vegetation data. This 鈥�
  5. 3505

    Create a Hillshade from a Terrain Raster in Python

    Create a Hillshade from a Terrain Raster in Python This tutorial covers how to create a hillshade from a terrain raster in Python, and demonstrates a few options for visualizing lidar-derived Digital Elevation Models. Objectives After completing this 鈥�
  6. 3506

    Mask Rasters Using Thresholds in Python

    Mask Rasters Using Thresholds in Python In this tutorial, we demonstrate how to remove parts of a raster based on pixel values using a mask we create. A mask raster layer contains pixel values of either 1 or 0 to where 1 represents pixels that will be 鈥�
  7. 3507

    Feb 2018 Newsletter

    Feb 2018 Newsletter 聽 February 2018 Data and Infrastructure News Science Doesn鈥檛 Stop for Snow at NEON Field Sites Water chemistry sampling at the TOOK site in Alaska Winter winds may blow and the snow may fall, but aquatic sampling and tower 鈥�
  8. 3508

    Science Doesn鈥檛 Stop for Snow at NEON Field Sites

    Science Doesn鈥檛 Stop for Snow at NEON Field Sites February 2018 Winter winds may blow and the snow may fall, but work at NEON鈥檚 northern field sites continues through the winter months. While terrestrial organismal sampling and soil sampling are put on 鈥�
  9. 3509

    NEON Airborne Remote Sensing Takes Off

    NEON Airborne Remote Sensing Takes Off February 2018 If you happen to be at a NEON field site during the peak of the growing season this year, look up. There鈥檚 a good chance you鈥檒l see one of the NEON Airborne Observation Platforms (AOPs) flying overhead. 鈥�
  10. 3510

    NEON Field Staff Gear Up for 2018 Field Sampling Season

    NEON Field Staff Gear Up for 2018 Field Sampling Season February 2018 Battelle ecologists聽from across the U.S. recently came together at two 鈥淭raining Paloozas,鈥� one for aquatic and one for terrestrial observational sampling. The week-long trainings 鈥�
  11. 3511

    In the Aftermath of Maria, NEON Puerto Rico Stands Strong

    In the Aftermath of Maria, NEON Puerto Rico Stands Strong February 2018 Every NEON domain has its share of challenges. But none have faced greater adversity than Domain 04,聽Atlantic Neotropical in Puerto Rico. When Hurricane Maria hit the island in 鈥�
  12. 3512

    Airborne Remote Sensing Programs Transition to Full Operations

    Airborne Remote Sensing Programs Transition to Full Operations February 2018 Construction is now complete for the NEON Airborne Remote Sensing program. As of December 2017, all components of the program have transitioned from Construction Phase to Initial 鈥�
  13. 3513

    Say Aloha to Our Pu`u Maka`ala Field Site!

    Say Aloha to Our Pu`u Maka`ala Field Site! February 2018 This April, the NEON Construction team will break ground on the last of the NEON field sites. Located in the Pu`u Maka`ala聽Natural Area Reserve ( PUUM ) in Hawaii, the site is expected to be fully 鈥�
  14. 3514

    Sharon Collinge to Lead the NEON Project

    Sharon Collinge to Lead the NEON Project February 2018 Battelle is pleased to welcome Sharon Collinge as the new NEON Observatory Director and Chief Scientist. Sharon will shape and oversee operations of the project and serve as the principal investigator 鈥�
  15. 3515

    Ecological Forecasting: Reducing the Timescale from Centuries to Seasons

    Ecological Forecasting: Reducing the Timescale from Centuries to Seasons 鈥淭he time for ecologists to start forecasting is now,鈥� says Michael Dietze. An ecologist at Boston University, Michael is seeking to arm his peers with tools for near-term ecological 鈥�
  16. 3516

    NEON Airborne Takes Flight for 2018 Season

    NEON Airborne Takes Flight for 2018 Season If you happen to be at a NEON field site during the peak of the growing season this year, look up. There鈥檚 a chance you鈥檒l see one of the NEON Airborne Observation Platforms (AOPs) 聽flying overhead. At each 鈥�
  17. 3517

    74th Annual Northeast Fish & Wildlife Conference

    74th Annual Northeast Fish & Wildlife Conference The annual Northeast Fish & Wildlife Conference attracts over 500 natural resources professionals in the fields of wildlife biology, fisheries and fisheries management, information and education and law 鈥�
  18. 3518

    EarthX 2018

    EarthX 2018 Are you attending EarthX2018 in Dallas Texas this year? Say hello to our NEON D11: Southern Plains staff who will be exhibiting this year at booth #5335, in the Centennial Building at Fair Park. EarthX is an event open to the public that draws 鈥�
  19. 3519

    ILTER Workshop on Next Generation Global Environmental RIs and Possible ILTER Testbed

    ILTER Workshop on Next Generation Global Environmental RIs and Possible ILTER Testbed An ILTER workshop of participants from around the world and a variety of networks (including the NEON project). Topics will focus on opportunities with and between 鈥�
  20. 3520

    Building Ties Across Disciplines and Observatory Networks to Advance Earth System Understanding

    Building Ties Across Disciplines and Observatory Networks to Advance Earth System Understanding The NEON project isn't just about collecting ecological data. It's also about enabling collaboration between scientists across disciplines to explore 鈥�
  21. 3521

    Apply Now for the 2018 NEON-ESA Early Career Scholars (NECS) Program

    Apply Now for the 2018 NEON-ESA Early Career Scholars (NECS) Program Presenting research findings and participating in scientific dialogue are important experiences in the career development of researchers. To support their growth as effective scientists 鈥�
  22. 3522

    Code Hub

    Code Hub NEON's data are often complex; working with data can be greatly simplified using software or code. We provide some code to get you started, like with our `neonUtilities` package for R, and also post links to code contributed by members of the 鈥�
  23. 3523

    NEON Science Explained Videos Bring Ecology Concepts to Life

    NEON Science Explained Videos Bring Ecology Concepts to Life What's the best way to forecast ecological changes? How do botanists measure photosynthesis? And what in the world is eddy covariance? You can find the answers to these and other questions on 鈥�
  24. 3524

    Exploring Uncertainty in Lidar Raster Data using Python

    Exploring Uncertainty in Lidar Raster Data using Python In this exercise we will analyze several NEON Level-3 lidar rasters (DSM, DTM, and CHM) and assess the uncertainty between data collected over the same area on different days. Objectives After 鈥�
  25. 3525

    Resources for Learning R

    Resources for Learning R There are myriad resources out there to learn programming in R. After linking to a tutorial on how to install R and RStudio on your computer, we then outline a few different paths to learn R basics depending on how you enjoy 鈥�

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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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