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SHIFT: AVIRIS-NG Full-Resolution True Color Images

Metadata Updated: January 31, 2024

This dataset holds full-resolution 3-band (true color) imagery acquired by NASA's Airborne Visible / Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument. This imagery was collected as part of the Surface Biology and Geology High-Frequency Time Series (SHIFT) campaign which occurred during February to May, 2022, with a follow up activity for one week in September. The SHIFT campaign leveraged NASA's AVIRIS-NG facility instrument to collect VSWIR data at approximately a weekly cadence across a broad study area, enabling traceability analyses related to the science value of VSWIR revisits. AVIRIS-NG is a pushbroom spectral mapping system with high signal-to-noise ratio (SNR), designed and toleranced for high performance spectroscopy. AVIRIS-NG measures radiance at approximately 5-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 380-2510 nm. The images in this dataset are true color (RGB) images from the wavelengths centered at approximately 808, 658, and 563 nm, subset from the full spectrum collected by AVIRIS-NG. The spatial resolution matches the native observed resolution (variable depending on the flightline, generally finer than 5 m and down to 2 m). There are two files for each flight line, one in PNG and one in georeferenced cloud-optimized GeoTIFF format; the GeoTIFF contains radiance floating point values while the PNG has been scaled and converted to integers.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date January 31, 2024
Metadata Updated Date January 31, 2024

Metadata Source

Harvested from NASA Data.json

Graphic Preview

Portion of a full-resolution quick look image from AVIRIS-NG imagery collected on February 24, 2022, for the SHIFT campaign over the California coast at Carpinteria, east of Santa Barbara, California, U.S. Approximately 34.398 latitude, -119.539 longitude. Source: ang20220224t195402_rdn_v2z4_rgb_nr.png

Additional Metadata

Resource Type Dataset
Metadata Created Date January 31, 2024
Metadata Updated Date January 31, 2024
Publisher ORNL_DAAC
Maintainer
Identifier C2844912911-ORNL_CLOUD
Data First Published 2024-01-25
Language en-US
Data Last Modified 2024-01-26
Category SHIFT, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Citation Brodrick, P.G., R. Pavlick, M. Bernas, J.W. Chapman, R. Eckert, M. Helmlinger, M. Hess-Flores, L.M. Rios, F.D. Schneider, M.M. Smyth, M. Eastwood, R.O. Green, D.R. Thompson, K.D. Chadwick, and D.S. Schimel. 2023. SHIFT: AVIRIS-NG Full-Resolution True Color Images. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2189
Graphic Preview Description Portion of a full-resolution quick look image from AVIRIS-NG imagery collected on February 24, 2022, for the SHIFT campaign over the California coast at Carpinteria, east of Santa Barbara, California, U.S. Approximately 34.398 latitude, -119.539 longitude. Source: ang20220224t195402_rdn_v2z4_rgb_nr.png
Graphic Preview File https://daac.ornl.gov/SHIFT/guides/SHIFT_AVNG_FullRes_QkLook_Fig1.jpg
Harvest Object Id 7bc3163c-5a8e-4b3a-a061-750a976975ff
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.3334/ORNLDAAC/2189
Metadata Type geospatial
Old Spatial -120.64 34.36 -119.48 34.9
Program Code 026:001
Source Datajson Identifier True
Source Hash 41ff64cb27da7ee1e730852aae6b9d717df77eb4362e6fcb9d3048f1ae9da376
Source Schema Version 1.1
Spatial
Temporal 2022-02-24T19:54:02Z/2022-05-17T21:44:27Z

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