High-Resolution Vegetation Traits and Fluxes during NASA's SHIFT campaign, for Dangermond Preserve, California, 2022

Description

Overview

This dataset provides high-resolution (30 m) remote sensing and modeling data collected as part of the SHIFT (Surface Biology and Geology High-Frequency Time Series) campaign conducted in 2022 at the Dangermond Preserve, California. The data, sourced from AVIRIS-NG (Airborne Visible/Infrared Imaging Spectrometer-Next Generation), TROPOMI (TROPOspheric Monitoring Instrument) SIF, and outputs from the Climate Modeling Alliance (CliMA) Land model, offers valuable insights into vegetation traits, plant functional types, ecosystem dynamics, and biogeochemical cycling.

Data Files

CliMA Land Output

• shift_fluxes_day_00_clima_fit_reg_jmax.nc to shift_fluxes_day_12_clima_fit_reg_jmax.nc: Contains ecosystem fluxes for each day, covering parameters like gross primary production (GPP) and sun-induced fluorescence (SIF) across multiple wavelengths.
• pft_shift_fluxes_day_00_clima_fit_reg_jmax.nc to pft_shift_fluxes_day_12_clima_fit_reg_jmax.nc: Similar to the above, but focused on specific plant functional types (PFTs).

Vegetation Traits

• mean_masked_chl_aviris_dangermond_clima_fit.nc: Average chlorophyll content traits over various timeframes.
• mean_masked_lma_aviris_dangermond_clima_fit.nc: Average Leaf Mass per Area (LMA) traits over multiple observations.
• mean_masked_lwc_aviris_dangermond_clima_fit.nc: Average leaf water content (LWC) traits over different periods.
• lma_aviris_dangermond_clima_fit_time_00.nc to lma_aviris_dangermond_clima_fit_time_12.nc: LMA data across specific time points.
• chl_aviris_dangermond_clima_fit_time_00.nc to chl_aviris_dangermond_clima_fit_time_12.nc: Chlorophyll content across specific time points.
• lwc_aviris_dangermond_clima_fit_time_00.nc to lwc_aviris_dangermond_clima_fit_time_12.nc: Leaf water content data over time.
• lai_aviris_dangermond_time_00.nc to lai_aviris_dangermond_time_12.nc: Leaf Area Index (LAI) data for various time frames.

Plant Functional Types

• Dangermond_Vegetation_WHRTYPE.nc: Spatial distribution of plant functional types within the Dangermond Preserve at 30 m resolution.

TROPOMI Data

• TROPOMI_SIF740nm-v1.001deg_regrid_Dangermond_tll_clipped_458_492.nc: Regridded sun-induced fluorescence data at 740 nm.
• TROPOMI_SIF740nm-v1.005deg_regrid_Dangermond_tll_clipped.nc: Updated regridded sun-induced fluorescence data at 740 nm.

AVIRIS Data

• aviris_dangermond.nc: Spectral reflectance data from the AVIRIS-NG instrument, detailing spectral information across 399 wavelengths.

Clumping Index

• CA18_Dangermond_norm_gediMetrics_25meters.csv: CSV file containing clumping index metrics at 25 meters resolution.
• CA18_Dangermond_norm_gediMetrics_25meters.tif: GeoTIFF file of clumping index metrics at 25 meters resolution.
• CA18_Dangermond_norm_gediMetrics_3meters.tif: GeoTIFF file of clumping index metrics at 3 meters resolution.
• GEDI_CI_map_ci_nan.nc: NetCDF file of clumping index map with NaNs for missing data.
• ci_map.nc: Clumping index map file.
• ci_map_reprojected_clipped.nc: Reprojected and clipped clumping index map file.

PLSR Data

• PLSR_dangermond_traits.nc: PLSR model output related to various vegetation traits. Accessed from: https://avng.jpl.nasa.gov/pub/SHIFT/gridded/mosaic_traits_20240219/

Usage Guidelines

This dataset is ideal for researchers focusing on vegetation dynamics, ecological forecasting, and biogeochemical cycling. It supports environmental analysis and modeling.

Citation

When using this dataset, please cite it as follows:
"High-Resolution Vegetation Traits and Fluxes during NASA's SHIFT campaign, for Dangermond Preserve, California, 2022, provided by Braghiere R. K./Caltech-NASA-JPL, Caltech Data Library, 2024."

Contact Information

For additional information or assistance with the dataset, please contact Braghiere R. K./Caltech-NASA-JPL.

References

Brodrick, P., 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, & D.S. Schimel. (2023). SHIFT: AVIRIS-NG L2A Unrectified Reflectance. ORNL DAAC. https://doi.org/https://doi.org/10.3334/ORNLDAAC/2183

Chadwick, K. D., Davis, F., Miner, K. R., Pavlick, R., Reynolds, M., Townsend, P. A., Brodrick, P. G., Ade, C., Allen, J., Anderegg, L., Angel, Y., Boving, I., Byrd, K. B., Campbell, P., Carberry, L., Cavanaugh, K. C., Cavanaugh, K. C., Easterday, K., Eckert, R., … Schimel, D. (2024). Unlocking Ecological Insights from Subseasonal Visible-to-Shortwave Infrared Imaging Spectroscopy: The SHIFT Campaign. Ecosphere.

Queally, N., Davis, F. W., Chadwick, K. D., Ade, C., Anderegg, L., Angel, Y., Baker, B., Boving, I., Braghiere, R. K., Brodrick, P., Campbell, P., Cryer, J., Cushman, K. C., Dao, P. D., Dibartolo, A., Eckert, R., Grant, K., Heberlein, B., Johnson, M., … Schimel, D. S. (2024). SHIFT: Vegetation Plot Characterization, Santa Barbara County, CA, 2022. ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/2295

Nature Conservancy (2022). Lidar Survey of Dangermond Preserve, CA. OpenTopography. https://doi.org/10.5069/G9T43R8K

Files

Additional details