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Full catalog/SV19MB_FOR
SV19MB_FOR·v1·dataset

Field-measured forest trees, leaves and biomass (SMAPVEX)

SMAPVEX19-22 Millbrook Field Measured Forest Tree Inventory, Biophysical Data, Leaf Area Index, and Estimated Biomass V001
biosphere NASA NSIDC_CPRD Level NA CSVShapefile
In plain English

What it measures. Hands-on forest measurements from a New York study site: a tree inventory, leaf area, estimated biomass, and other plant details, plus photos, for over 500 trees of about 45 species.

How it's made. Gathered on the ground by field crews between April and August 2022 during the SMAPVEX19-22 soil moisture validation campaign, which targeted forested land.

How & where you'd use it. Provides ground-truth forest data to help validate and improve satellite-based soil moisture estimates in forested areas.

What's measured

BIOSPHERE › VEGETATION › BIOMASSBIOSPHERE › VEGETATION › CANOPY CHARACTERISTICSBIOSPHERE › VEGETATION › LEAF CHARACTERISTICS › LEAF AREA INDEX (LAI)BIOSPHERE › VEGETATION › VEGETATION COVERBIOSPHERE › VEGETATION › VEGETATION SPECIES

Coverage & cadence

  • Time span2022-04-20 → 2022-08-01
  • Measured byGROUND-BASED OBSERVATIONS (CAMERAS, LICOR PLANT CANOPY ANALYZER)
  • Processing levelLevel NA
  • Spatial extent-73.81, 41.66, -73.42, 42.05
  • FormatsCSV, Shapefile
  • StatusCOMPLETE

What you can do with it

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

The SMAPVEX19-22 Millbrook Field data (SV19MB_FOR) consists of forest tree inventory, biophysical, leaf area index (LAI), and estimated biomass data as well as photos collected between April and August 2022 in the vicinity of Millbrook, New York during the SMAPVEX19-22 (Soil Moisture Active Passive Validation Experiment 2019-2022) field campaign. The location was chosen due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas. Over 500 trees of approximately 45 different species were sampled.

Get the data

sv19mb_for_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="SV19MB_FOR",
    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 NSIDC_CPRD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.