Documentation Revision Date: 2023-08-22
Dataset Version: 1
This dataset contains one file in comma-separated values (.csv) format with the leaf trait data, two zip folders with jpeg leaf images used for area calculations, and one file (.py) with the processing code used to calculate the leaf area.
Chadwick, K.D., N. Queally, T. Zheng, J. Cryer, C. Vanden Heuvel, C. Villanueva-Weeks, C. Ade, L. Anderegg, Y. Angel, B. Baker, I. Boving, R.K. Braghiere, P. Brodrick, P. Campbell, K.C. Cushman, F. Davis, P.D. Dao, A. Dibartolo, R. Eckert, K. Grant, B. Heberlein, M. Johnson, J. Joutras, C. Kibler, M. Klope, K. Kovach, A. Kreisberg, P. Lovegreen, A.J. Maguire, C. Mcmahon, K. Miner, C. Nickles, F. Ochoa, J.P. Ocón, A. Ongjoco, E. Ordway, M. Park, R. Pavlick, A.M. Raiho, D.A. Roberts, D.S. Schimel, F.D. Schneider, K. Thompson, P. Townsend, E. Vermeer, N. Vinod, and K. Zumdahl. 2023. SHIFT Photosynthetic and Leaf Traits, Santa Barbara County, 2022. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2233
Table of Contents
- Dataset Overview
- Data Characteristics
- Application and Derivation
- Quality Assessment
- Data Acquisition, Materials, and Methods
- Data Access
This dataset provides leaf images and measurements of leaf traits (wet weight, dry weight, leaf mass per area, leaf water content), leaf pigments (chlorophyll), and species information as sampled from meadow, shrub, and tree sites. The leaf images were used to calculate leaf area and processing code used to calculate the area is included. Samples were collected from plots at Dangermond Preserve, Sedgwick Reserve, and Carpinteria Salt Marsh Reserve, all within Santa Barbara County California, US. The data cover the period 2022-02-23 to 2022-09-27.
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 Airborne Visible-Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) facility instrument to collect approximately weekly VSWIR imagery across the study area. The SHIFT campaign 1) enables the NASA SBG team to conduct traceability analyses related to the science value of VSWIR revisit without relying on multispectral proxies, 2) enables testing algorithms for consistent performance over seasonal time scales and end-to-end workflows including community distribution, and 3) provides early adoption test cases to SHIFT application users and incubate relationships with basic and applied science partners at the University of California Santa Barbara Sedgwick Reserve and The Nature Conservancy's Jack and Laura Dangermond Preserve.
SHIFT is jointly led by NASA’s Jet Propulsion Laboratory, The Nature Conservancy, and the University of California, Santa Barbara (UCSB).
Spatial Coverage: Samples were collected from plots at Dangermond Preserve, Sedgwick Reserve, and Carpinteria Salt Marsh Reserve, all within Santa Barbara County, California, US
Temporal Resolution: One-time measurements
Temporal Coverage: 2022-02-23 to 2022-09-27
Study Areas: Provided in decimal degrees
|Site||Westernmost Longitude||Easternmost Longitude||Northernmost Latitude||Southernmost Latitude|
|Carpinteria Salt Marsh Reserve||-119.55||-119.53||34.41||34.39|
Data File Information:
This dataset contains the following files:
SHIFT_Leaf_Traits_LMA_LWC_Chl.csv: Provides the associated leaf traits (wet weight, dry weight, leaf mass per area, leaf water content), leaf pigments (chlorophyll), and species information for each scan. Missing data is indicated by "NA" for text variables and -9999 for numeric variables.
LMAscans.zip: Scanned images of leaves in JPEG (.jpg) format. Numerical portion of file name corresponds to sample_number in SHIFT_Leaf_Traits_LMA_LWC_Chl.csv.
ProcessedLMAScans.zip: Final processed leaf images in JPEG (.jpg) format. Numerical portion of file name corresponds to sample_number in SHIFT_Leaf_Traits_LMA_LWC_Chl.csv.
LeafAreaCalc.py: Processing code, in Python, used to calculate leaf area.
Table 1. Data dictionary for SHIFT_Leaf_Traits_Chl.csv
|ID||-||Leaf specimen identifier|
|species_or_type||-||Scientific name and common name for leaf specimen|
|sample_number||-||Identifier for each sample|
|latitude||degrees north||Latitude of plot in decimal degrees|
|longitude||degrees east||Longitude of plot in decimal degrees|
|fractional_coverage||text||Visual estimate of percent coverage of green vegetation for species in field plot|
|wet_weight||g||Weight of leaves before drying|
|dry_weight||g||Weight of dried leaves|
|LWC||percent||Leaf water content: 100*(wet weight - dry weight)/(wet weight)|
|CFR||1||Chlorophyll Fluorescence Ratio|
|CHL||mg m-2||Relative chlorophyll content|
|LMA||g m-2||Leaf mass per area in grams dry mass per m2|
Application and Derivation
The data were collected for the SHIFT campaign to support the SBG mission and to provide information on plant communities over a large region of Santa Barbara County, California.
Sample data were manually edited to remove poor quality scans; relative weights were checked to ensure quality.
Data Acquisition, Materials, and Methods
Study sites were located in Santa Barbara County, California. Individual plots approximately eight meters squared in area for meadow and shrub plots were sampled within the study sites. For tree plots, a plot was the ground area of a single tree canopy. Sunlit leaves were collected from the meadow, tree, or shrub species in each plot. The percent coverage within the plot for each collected species was visually estimated.
Leaf trait measurements
Species-level leaf trait measurements from meadow, tree, and shrub species were obtained from the study sites across Santa Barbara county. At each site, a gallon ziplock of foliage per species was stored in a cooler until processing (within 1-8 hours). For each species, around 12 leaves were haphazardly selected to form a representative sample. The sample was weighed obtain the wet weight to nearest 0.001 g. Leaves in each sample group were then laid out on red or pink solid color background paper to maximize contrast for the image scanning area calculation. A Python script was used to process scans and calculate leaf areas. Samples were then oven dried and weighed to measure the dry weight. The wet weight, dry weight, and calculated leaf area were used to determine the leaf water content (LWC) of the sample.
Leaf pigment measurements
Five leaves from each sample were measured for chlorophyll in the field immediately after sample collection using an Opti-Sciences CCM-300. The measurements from the five leaves are averaged to obtain the relative chlorophyll content (CHL) and chlorophyll fluorescence ratio (CFR).
Figure 2. Plot and study area locations in Santa Barbara County in central California,US.
These data are available through the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC).
Contact for Data Center Access Information:
- E-mail: firstname.lastname@example.org
- Telephone: +1 (865) 241-3952