ORNL DAAC Data Releases - SHIFT: Derived Plant Functional Trait Mosaics & SHIFT: ASD Field Spectrometer Measurements

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ORNL - blancohl
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ORNL DAAC Data Releases - SHIFT: Derived Plant Functional Trait Mosaics & SHIFT: ASD Field Spectrometer Measurements

by ORNL - blancohl » Thu Feb 26, 2026 1:01 pm America/New_York

The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) released two new Surface Biology and Geology (SBG) High-Frequency Time Series (SHIFT) datasets in November (2025).

SHIFT: AVIRIS-NG Derived Plant Functional Trait Mosaics
This dataset provides maps of 20 plant functional traits across a broad region of Santa Barbara County, California, USA. The maps were derived from Airborne Visible-Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) imagery collected during the SHIFT campaign between February and May 2022. Foliar traits were derived from the surface reflectance product by applying partial least squares regression models. These traits include foliar concentrations of cellulose, lignin, sugar, hemicellulose, aluminum, calcium, manganese, nitrogen, magnesium, potassium, phosphorus, and sulfur. Area content of chlorophylls, leaf dry mass, and leaf water content were also estimated. Thirteen maps of surface reflectance (7 bands) by image acquisition date and a mask for ocean pixels are included. With near-weekly temporal resolution, the dataset captures phenological trajectories of plant traits across diverse ecosystems in the region. The data are provided in cloud optimized GeoTIFF format.

SHIFT: Pseudo-invariant Targets, ASD Field Spectrometer Measurements, 2022
This dataset provides biweekly surface reflectance measurements of pseudo-invariant sites at Sedgwick Reserve, Santa Barbara, California, collected with an ASD FieldSpec Pro field spectrometer during the SHIFT campaign in Spring and Fall 2022. The dataset includes measurements of seven primary spatially-homogenous, temporally pseudo-invariant sites (three areas of gravel road, two dirt paddocks, two serpentinite outcrops); one spatially-homogenous, temporally variable site (vegetated meadow); component measurements of three pseudo-invariant sites with high spatial resolution features (a tennis court, a road and its surroundings, and a Y-intersection and its surroundings); and additional temporally transient targets (a car roof). These measurements were taken every two weeks and were made on the same day as the AVIRIS-NG overflights. Atmospheric measurements were also taken with a MicroTops sun photometer at the serpentinite outcrop site. The data are provided in comma separated values (CSV), JPEG image, and GeoJSON formats along with Python processing code.

The Surface Biology and Geology (SBG) High Frequency Time Series (SHIFT) was an airborne and field campaign during February to May 2022, with a follow up activity for one week in September, in support of NASA's SBG mission. Its study area included a 640-square-mile (1,656-square-kilometer) area in Santa Barbara County and the coastal Pacific waters. The primary goal of the SHIFT campaign was to collect a repeated dense time series of airborne Visible to ShortWave Infrared (VSWIR) airborne imaging spectroscopy data with coincident field measurements in both inland terrestrial and coastal aquatic areas, supported in part by a broad team of research collaborators at academic institutions. The SHIFT campaign leveraged NASA's AVIRIS-NG facility instrument to collect approximately weekly VSWIR imagery across the study area.

Other datasets and additional information from the SHIFT campaign can be found on the SHIFT project page page at Earthdata.

Citations:
Zheng, T., Queally, N., Ade, C., Brodrick, P. G., Chadwick, K. D., & Townsend, P. A. (2025). SHIFT: AVIRIS-NG Derived Plant Functional Trait Mosaics (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/2453

Eckert, R., Thompson, D. R., Jensen, D. J., Schneider, F. D., Brodrick, P. G., Grant, K., Chadwick, K. D., & Green, R. O. (2025). SHIFT: Pseudo-invariant Targets, ASD Field Spectrometer Measurements, 2022 (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/2446

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