Full catalog/SV19MA_FOR
SV19MA_FOR·v1·dataset

Ground-measured Massachusetts forest tree data

SMAPVEX19-22 Massachusetts 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 collected on the ground: a tree inventory, physical tree traits, how dense the leaf canopy is (leaf area index), and estimated plant biomass, plus photos.

How it's made. Gathered by field crews near Petersham, Massachusetts in 2022, sampling over 500 trees across roughly 45 species during the SMAPVEX19-22 campaign.

How & where you'd use it. Serves as ground-truth for checking satellite estimates of soil moisture in forested areas, and supports forest ecology research.

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-72.33, 42.32, -71.91, 42.72
  • 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 Massachusetts Field data (SV19MA_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 Petersham, Massachusetts 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

sv19ma_for_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="SV19MA_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.