Overview
| DOI | https://doi.org/10.3334/ORNLDAAC/1569 |
|---|---|
| Version | 1.2 |
| Project | |
| Published | 2018-04-23 |
| Updated | 2021-05-26 |
| Usage | 1012 downloads |
| Citations | 3 publications cited this dataset |
Description
This dataset provides Level 1 radiance and Level 2 surface reflectance measured by the Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument during flights over the Arctic-Boreal Vulnerability Experiment (ABoVE) domain between June and August 2017, July and August 2018 and again in July and August 2019. AVIRIS-NG measures reflected radiance at 5-nanometer (nm) intervals in the visible to shortwave infrared spectral range between 380 and 2510 nm. Measurements are radiometrically and geometrically calibrated and provided at approximately 5-meter spatial resolution. The data include 556 flight lines covering areas of interest to the ABoVE campaign over much of Alaska and western Canada. These data will allow researchers to characterize ecosystem structure and function near the height of the growing season. This dataset represents one part of a multisensor airborne sampling campaign conducted by eleven different aircraft teams for ABoVE.
Science Keywords
- SPECTRAL/ENGINEERING
- INFRARED WAVELENGTHS
- INFRARED IMAGERY
- SPECTRAL/ENGINEERING
- VISIBLE WAVELENGTHS
- VISIBLE IMAGERY
- SPECTRAL/ENGINEERING
- INFRARED WAVELENGTHS
- INFRARED RADIANCE
- SPECTRAL/ENGINEERING
- VISIBLE WAVELENGTHS
- VISIBLE RADIANCE
- LAND SURFACE
- SURFACE RADIATIVE PROPERTIES
- REFLECTANCE
Data Use and Citation
This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.
Data Files
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Companion Files
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Dataset Companion Files
Dataset has 7 companion files.
- above_avirisng_quicklooks_2018.zip
- above_avirisng_boundaries_2017.zip
- ABoVE_Airborne_AVIRIS_NG.pdf
- above_avirisng_boundaries_2019.zip
- above_avirisng_quicklooks_2019.zip
- above_avirisng_boundaries_2018.zip
- above_avirisng_quicklooks_2017.zip
Additional Resources
| Type | Title |
|---|---|
| Tutorial | Python: Basic processing of hyperspectral imagery from AVIRIS-NG collected during ABoVE airborne campaigns |
| Tutorial | Understanding AVIRIS-NG data in ENVI format with rotated grid |