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Full catalog/SHIFT_Plot_Level_Photos_2334
SHIFT_Plot_Level_Photos_2334·v1·dataset

Ground photos of plants, Santa Barbara 2022

SHIFT: Vegetation Plot Photos, Santa Barbara, CA, USA, 2022
biosphere NASA ORNL_CLOUD Level 0 multiple
In plain English

What it measures. Photographs of the field plots where scientists sampled vegetation in Santa Barbara County, California, during a 2022 research campaign.

How it's made. Taken on the ground by field crews during the SHIFT campaign, timed to coincide with weekly research aircraft flights over the same areas.

How & where you'd use it. Helps researchers document and interpret what was actually growing at each site, supporting the airborne and biochemical measurements collected alongside them.

What's measured

BIOSPHERE › VEGETATION › VEGETATION SPECIESBIOSPHERE › ECOSYSTEMS › TERRESTRIAL ECOSYSTEMS

Coverage & cadence

  • Time span2022-02-23 → 2022-09-18
  • Measured byFIELD SURVEYS (CAMERA)
  • Processing levelLevel 0
  • Spatial extent-120.492, 34.3979, -119.531, 34.7445
  • Formatsmultiple
  • StatusCOMPLETE

What you can do with it

  • Map vegetation, forests and biomass
  • Monitor ecosystem productivity and carbon
  • Support habitat and biodiversity studies
Official description

This dataset contains photographs of the plots where field vegetation sampling was conducted during the 2022 NASA Surface Biology Geology (SBG) High Frequency Time series (SHIFT) campaign. Sampling occurred at the Jack and Laura Dangermond Preserve, Sedgwick Reserve, and Carpinteria Salt Marsh Reserve, which are located in Santa Barbara County, California, USA. Photographs were taken from 2022-02-23 to 2022-09-18. This project collected field data contemporaneously with weekly flights of Airborne Visible-Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) over the study areas. Related SHIFT data packages contain additional biogeochemical, reflectance, and foliar data.

Get the data

shift_plot_level_photos_2334_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="SHIFT_Plot_Level_Photos_2334",
    version="1",
    bounding_box=(-122.5, 37.2, -121.8, 37.9),  # your area (W,S,E,N)
    temporal=("2024-01-01", "2024-12-31"),       # your dates
)
files = earthaccess.open(results)   # stream straight from ORNL_CLOUD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.