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ABoVE: Hyperspectral Imagery AVIRIS-NG, Alaskan and Canadian Arctic, 2017-2019 V2

Documentation Revision Date: 2022-11-17

Dataset Version: 2

Summary

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 from June to August in 2017 and July to August in 2018 and 2019. AVIRIS-NG measures reflected radiance in 425 bands 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 848 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 multi-sensor airborne sampling campaign conducted by eleven different aircraft teams for ABoVE. The L2 reflectance files in this publication were reprocessed with an updated reflectance algorithm and replace Versions 1 of this dataset. The imagery data are provided in ENVI format along with a RGB composite image for each flight line and shapefiles showing imagery boundaries.

This dataset includes 2,497 data files for 848 flight lines. There are 1,646 files in ENVI binary image format (compressed in *.tar.gz format), 848 RGB composite image images in JPEG format, and 3 shapefiles (compressed in *.zip archives) providing the boundaries for the imagery captured for each flight line in 2017, 2018 and 2019.

A portion of the quicklook image from flight line ang20170714t212855 over Barrow, Alaska on July 14, 2017. Two sites (AB_B10_L001_FL175_PipelineLake and AB_B10_L003_FL175_PipelineLake) of interest to the ABoVE project are visible. Flight altitude was approximately 5,400 m with very thin cirrus cloud cover.

Citation

Miller, C.E., R.O. Green, D.R. Thompson, A.K. Thorpe, M. Eastwood, I.B. Mccubbin, W. Olson-Duvall, M. Bernas, C.M. Sarture, S. Nolte, L.M. Rios, M.A. Hernandez, B.D. Bue, and S.R. Lundeen. 2022. ABoVE: Hyperspectral Imagery AVIRIS-NG, Alaskan and Canadian Arctic, 2017-2019 V2. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2009

Table of Contents

  1. Dataset Overview
  2. Data Characteristics
  3. Application and Derivation
  4. Quality Assessment
  5. Data Acquisition, Materials, and Methods
  6. Data Access
  7. References
  8. Dataset Revisions

Dataset Overview

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 from June to August in 2017 and July to August in 2018 and 2019. AVIRIS-NG measures reflected radiance in 425 bands 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 848 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 multi-sensor airborne sampling campaign conducted by eleven different aircraft teams for ABoVE. The L2 reflectance files in this publication were reprocessed with an updated reflectance algorithm and replace Versions 1 of this dataset.  The imagery data are provided in ENVI format along with a RGB composite image for each flight line and shapefiles showing imagery boundaries.

Project: Arctic-Boreal Vulnerability Experiment

The Arctic-Boreal Vulnerability Experiment (ABoVE) is a NASA Terrestrial Ecology Program field campaign being conducted in Alaska and western Canada, for 8 to 10 years, starting in 2015. Research for ABoVE links field-based, process-level studies with geospatial data products derived from airborne and satellite sensors, providing a foundation for improving the analysis, and modeling capabilities needed to understand and predict ecosystem responses to, and societal implications of, climate change in the Arctic and Boreal regions.

Acknowledgements:

This study was funded by NASA's Arctic-Boreal Vulnerability Experiment (Grant number: NNX17AE44G).

Data Characteristics

Spatial Coverage: Flights over the Alaskan and Canadian Arctic within the ABoVE Domain

Spatial Resolution: Approximately 5-meter

Temporal Coverage: 2017-06-24 to 2019-08-04

Temporal Resolution: Areas were surveyed once

Study Area (These coordinates are the approximate locations of the study sites and may not match the extent of the data files. All latitude and longitude are given in decimal degrees)

Site Northern Extent Western Extent Eastern Extent Southern Extent

ABoVE Domain

71.380 -166.651 -103.404 52.160

Data File Information

This dataset includes 2,497 data files for 848 flight lines. There are 1,646 files in ENVI binary image format (compressed in *.tar.gz format), 848 RGB composite image images in JPEG format, and 3 shapefiles (compressed in *.zip archives) providing the boundaries for the imagery captured for each flight line in 2017, 2018 and 2019.

Level 1 (L1) radiance measurements are provided for each flight line. Level 2 (L2) reflectance measurements are provided for 798 flight lines. L1 and L2 measurements for each flight line are contained in separate gzip compressed TAR files, and the data are provided in ENVI format.

Files for each flight line use a specific base filename prefix: angYYYYMMDDthhmmss, which encodes the date and time of the flight. The prefix is used for the TAR filenames and the filenames for the ENVI files contained therein.

  • YYYY : Year of flight
  • MM : Month of flight
  • DD : Day of flight
  • hh: UTC hour at start of flight
  • mm: UTC minute at start of flight
  • ss: UTC second at start of flight

File Naming Conventions

  • L1 radianceangYYYYMMDDthhmmss.tar.gz 
  • L2 reflectanceangYYYYMMDDthhmmss_rfl.tar.gz, where "rfl" denotes reflectance 
  • RGB composite imageangYYYYMMDDthhmmss_RGB.jpeg
  • Image boundaries: above_avirisng_boundaries_YYYY.zip, where YYYY indicates year of sampling: 2017, 2018, or 2019. These Zip archives hold shapefiles.

Example file names for a single flight:

  • ang20170624t181530_RGB.jpeg
  • ang20170624t181530.tar.gz
  • ang20170624t182330_rfl.tar.gz

ENVI file user notes:

  • The binary ENVI image files have no extension and are accompanied by a header file (*.hdr) of the same name in text format. The header files should remain in the same directory as the image files for the data to be displayed properly.
  • Header files provide spatial and spectral metadata related to the image file such as the number of lines, samples, channels, data ignore value, map projection, etc. Please see the Harris Geospatial reference for the ENVI file format for more detailed information on the header files.
  • No Data are coded as -9999


L1 Radiance Files (e.g. ang20170817t185348.tar.gz)

Each TAR contains six pairs of ENVI binary image files (no extension) and accompanying header files (*.hdr).  In the filenames, "rdn" indicates radiance, and VVVV is the versioning number (e.g., "v2p9"). 

1) Calibrated radiance data: angYYYYMMDDtHHNNSS_rdn_VVVV_img (& .hdr)

  • Level 1 calibrated radiance from AVIRIS-NG
  • Units: microwatts per centimeter squared per nanometer per steradian (µW cm-2 nm-1 sr-1)
  • 425 bands
  • 5-nm intervals in the visible to shortwave infrared spectral range from 380 to 2510 nm

2) Geometric lookup table (GLT): angYYYYMMDDtHHNNSS_rdn_VVVV_glt (& .hdr)

  • Provides information about which original pixel occupies which output pixel in the final product
  • Positive values indicate real data; negative values indicate nearest-neighbor filled data
  • 2 bands:
    1. Sample number
    2. Original line number

3) Input geometry file: angYYYYMMDDtHHNNSS_rdn_VVVV_igm (& .hdr)

  • Contains UTM ground locations in meters for each pixel in the corresponding unorthocorrected radiance image
  • See map info line in header file for UTM zone. 
  • 3 bands:
    1. UTM easting (m)
    2. UTM northing (m)
    3. Estimated ground elevation at each pixel center (m)

4)  Pixel location file: angYYYYMMDDtHHNNSS_rdn_VVVV_loc (& .hdr)

  • Latitude/longitude pixel locations in WGS84 for each pixel in the corresponding unorthocorrected radiance image
  • 3 bands:
    1. WGS84 longitude (decimal degrees)
    2. WGS84 latitude (decimal degrees)
    3. Estimated ground elevation at each pixel center (m)

5)  Observation parameters (unorthocorrected): angYYYYMMDDtHHNNSS_rdn_VVVV_obs (& .hdr)

  • Observation parameters in the raw spatial format; matches corresponding unorthocorrected radiance image.
  • 11 bands:
    1. path length (sensor-to-ground in meters)
    2. to-sensor-azimuth (0 to 360 degrees clockwise from N)
    3. to-sensor-zenith (0 to 90 degrees from zenith)
    4. to-sun-azimuth (0 to 360 degrees clockwise from N)
    5. to-sun-zenith (0 to 90 degrees from zenith)
    6. solar phase (degrees between to-sensor and to-sun vectors in principal plane)
    7. slope (local surface slope as derived from DEM in degrees)
    8. aspect (local surface aspect 0 to 360 degrees clockwise from N)
    9. cosine i (apparent local illumination factor based on DEM slope and aspect and to-sun vector, -1 to 1)
    10. UTC time (decimal hours for mid-line pixels)
    11. Earth-sun distance (AU)

6)  Orthocorrected observation parameters: angYYYYMMDDtHHNNSS_rdn_VVV_obs_ort (& .hdr)

  • Observation parameter file that has been rendered using the GLT and matches the orthocorrected imagery.
  • 11 bands (same as unorthocorrected; see above)

L2 Reflectance Files (e.g. ang20170817t185348_rfl.tar.gz)

Each TAR contains one ENVI binary file (no extension) and its accompanying header file (*.hdr): angYYYYMMDDtHHNNSS_rfl (& .hdr)

  • Orthocorrected and atmospherically corrected surface reflectance (Gao et al., 1993; Thompson et al., 2015)
  • 425 bands in 5-nm intervals in the visible to shortwave infrared spectral range from 380 to 2510 nm

Application and Derivation

Spectra measured by AVIRIS-NG are used to identify, measure, and monitor constituents of the Earth's surface and atmosphere. Ecological applications include species composition, structure, and function; chlorophyll, leaf water, lignin, cellulose, pigment, and non-photosynthetic constituent content.

AVIRIS-NG was flown during June and July of 2017, July and August of 2018, and July and August of 2019 over the ABoVE domain (Figure 2) to characterize ecosystem structure and function near the height of the growing season.

Quality Assessment

All AVIRIS-NG data are processed by the AVIRIS-NG instrument ground data system at NASA Jet Propulsion Laboratory. Anomalies that were not detected by pre- and post-flight diagnostics are detected through sensor performance evaluation based on a preliminary analysis of the data.

Pixels that were infilled through nearest neighbor interpolation are denoted by a negative value in the GLT file for each flight line (see Section 2).

Valid values for L2 reflectance range 0.0 to 1.0.

Data Acquisition, Materials, and Methods

Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) is an imaging spectrometer that measures reflected radiance at 5-nm intervals in the visible to shortwave infrared spectral range from 380-2510 nm. AVIRIS-NG was built to support NASA science and applications measuring spectra as images that record the interaction of light with matter. These spectra are used to identify, measure, and monitor constituents of the Earths surface and atmosphere.

See Thompson et al. (2015) and Gao et al. (1993) for an explanation of L2 surface reflectance derivation from AVIRIS L1 radiance measurements.

AVIRIS-NG was flown on a King Air B200 between June and August 2017 and again in July and August 2018 and July and August 2019 as part of an extensive airborne campaign designed to provide data useful for characterizing ecosystem structure and function near the height of the growing season. Flight locations and additional metadata can be viewed at the AVIRIS-NG Data Portal. Flight paths are depicted in Figure 2.

AVIRIS-NG flight paths for ABoVE

Figure 2. ABoVE flight paths of the AVIRIS-NG instrument during 2017, 2018 and 2019.

Data Access

These data are available through the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC).

ABoVE: Hyperspectral Imagery AVIRIS-NG, Alaskan and Canadian Arctic, 2017-2019 V2

Contact for Data Center Access Information:

References

Gao, B.C., K.H. Heidebrecht, and A.F.H. Goetz. 1993. Derivation of scaled surface reflectances from AVIRIS data, Remote Sens. Env., 44, 165-178. https://doi.org/10.1016/0034-4257(93)90014-O

Thompson, D.R., B.C. Gao, R.O. Green, P.E. Dennison, D.A. Roberts, and S. Lundeen. 2015. Atmospheric Correction for Global Mapping Spectroscopy: ATREM Advances for the HyspIRI Preparatory Campaign. Remote Sens. of Env., 167: 64-77. https://doi.org/10.1016/j.rse.2015.02.010

Dataset Revisions

Version Number Version Information
2.0 This dataset was revised on November 17, 2022 to include additional flight lines. In addition, data providers reprocessed all L2 ABoVE data from 2017-2019 seasons using an updated reflectance algorithm.  As a result, all Level 2 files were replaced with this release. RGB images and boundary shapefiles were moved from companion files to distribution with the main dataset.
1.2 This dataset was revised in May 2021 to include flights from the 2019 ABoVE airborne campaign. There were no changes to the previously provided data from 2017 and 2018 flights.
1.1 This dataset was revised in Feb. 2019 to include flights from the 2018 ABoVE airborne campaign. There were no changes to the previously provided data from 2017 flights.
1.0 Included flights for 2017 from the 2017 ABoVE airborne campaign.