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Description

This dataset contains Level 2A (L2A) unrectified surface reflectance images from 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. This campaign will generate precise, high-frequency data on plant communities collected over nearly 1,656 square kilometers across Santa Barbara County, California, US, and nearby coastal Pacific waters. 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 reflected radiance at 5-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 380-2510 nm. The AVIRIS-NG sensor has a 1 milliradian instantaneous field of view, providing altitude dependent ground sampling distances from 20 m to sub-meter range. The AVIRIS-NG L2A data are provided in ENVI binary format, which includes a flat binary file accompanied by a header (.hdr) file holding metadata in text format.

Product Summary

Platforms
B-200
Instruments
AVIRIS-NG
Projects
SHIFT
Spatial Extent

N: 34.8994 S: 33.8561 E: -117.847 W: -120.643

Location
CALIFORNIA ,
EASTERN PACIFIC OCEAN
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2022-02-24 to 2022-05-29
Data Partner
THE OAK RIDGE NATIONAL LABORATORY (ORNL) DISTRIBUTED ACTIVE ARCHIVE CENTER (DAAC) (ORNL_DAAC)
Concept ID
C3255170754-ORNL_CLOUD
Data State
COMPLETE
Number of Files/Granules
404
Processing Level
2
Published
Updated
Science Keywords
Reflected Infrared ,
Reflectance

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Brodrick, P. G., Pavlick, R., Bernas, M., Chapman, J. W., Eckert, R., Helmlinger, M., Hess-Flores, M., Rios, L. M., Schneider, F. D., Smyth, M. M., Eastwood, M., Green, R. O., Thompson, D. R., Chadwick, K. D., & Schimel, D. S. (2023). SHIFT: AVIRIS-NG L2A Unrectified Surface Reflectance Version 1 (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/2376 Date Accessed: 2026-10-08

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Publications Citing This Dataset

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Title Authors Year Referenced Datasets
Canopy water content is related to variability in leaf water over time but not across space in an oak savanna ecosystem
  • Allen, Jean, Boving, Indra, Anderegg, Leander D.L., Brodrick, Philip G., Chadwick, K. Dana, Roberts, Dar, Trugman, Anna T.
Using imaging spectroscopy and elevation in machine learning to estimate soil salinity in intermittently tidal wetlands
  • Silva, German D., Roberts, Dar A., Byrd, Kristin B., Chadwick, K. Dana, Walker, Ian J., King, Jennifer Y.
Unlocking ecological insights from subseasonal visibletoshortwave infrared imaging spectroscopy: The SHIFT campaign
  • Chadwick, K. Dana, Davis, Frank, Miner, Kimberley R., Pavlick, Ryan, Reynolds, Mark, Townsend, Philip A., Brodrick, Philip G., Ade, Christiana, Allen, Jean, Anderegg, Leander, Angel, Yoseline, Boving, Indra, Byrd, Kristin B., Campbell, Petya, Carberry, Luke, Cavanaugh, Katherine C., Cavanaugh, Kyle C., Easterday, Kelly, Eckert, Regina, Gierach, Michelle, Gold, Kaitlin, Hestir, Erin, Huemmrich, Fred, Klope, Maggie, Kokaly, Raymond F, Lovegreen, Piper, Luis, Kelly, McMahon, Conor, Nidzieko, Nicholas, Ochoa, Francisco, Ongjoco, Anna Jiselle, Ordway, Elsa, PascoliniCampbell, Madeleine, Queally, Natalie, Roberts, Dar A., Saiki, Clare M., Schneider, Fabian D., Shiklomanov, Alexey N., Silva, German D., Snyder, Jordan, Thornton, Michele, Trugman, Anna T., Vinod, Nidhi, Zheng, Ting, Avouris, Dulcinea M., Baker, Brianna, Baskaran, Latha, Bell, Tom, Berg, Megan, Bernas, Michael, Bohn, Niklas, Braghiere, Renato K., Breuer, Zach, Brooks, Andrew J., Burkard, Nolan, Burmistrova, Julia, CawseNicholson, Kerry, Chapman, John, ChazaroHaraksin, Johana, Cryer, Joel, Cushman, K. C., Dahlin, Kyla, Dao, Phuong D., DiBartolo, Athena, Eastwood, Michael, Elder, Clayton D., Giordani, Angela, Grant, Kathleen, Green, Robert O., Hanson, Alexa, Heberlein, Brendan, Helmlinger, Mark, Hook, Simon, Jensen, Daniel, Johnson, Emma, Johnson, Marie, Kiper, Michael, Kibler, Christopher, King, Jennifer Y., Kovach, Kyle R., Kreisberg, Aaron, Lacey, Daniel, Lang, Evan, Lee, Christine, Lopez, Amanda M., Lopez Barreto, Brittany, Maguire, Andrew, Marsh, Elliott, Miller, Charles, Nguyen, Dieu My T., Nickles, Cassandra, Ocon, Jonathan P., Papen, Elijah P., Park, Maria, Poulter, Benjamin, Raiho, Ann, Reim, Porter, Robinson, Timothy H., Romero Galvan, Fernando E., Shafron, Ethan, Skalitzky, Brenen R., Stroschein, Sydney, Taylor, Niky C., Thompson, David R., Thompson, Kate, Tye, Cecily, Van Beek, Joelie, Vanden Heuvel, Cecilia, Vellanoweth, Jonathan, Vermeer, Evert, VillanuevaWeeks, Claire, Zumdahl, Kristen, Schimel, David
The Unstable Relationship Between Drought Status and Leaf Water Content Complicates the Remote Sensing of Tree Drought Stress
  • Boving, Indra, Allen, Jean, Brodrick, Philip G., Chadwick, K. Dana, Trugman, Anna, Anderegg, Leander D.L.
Deciphering the spectra of flowers to map landscapescale blooming dynamics
  • Angel, Yoseline, Raiho, Ann, Kathuria, Dhruva, Chadwick, K. Dana, Brodrick, Philip G., Lang, Evan, Ochoa, Francisco, Shiklomanov, Alexey N.
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