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Full catalog/LiDAR_Veg_Ht_Idaho_1532
LiDAR_Veg_Ht_Idaho_1532·v1·dataset

Laser maps of terrain and vegetation height (Idaho, 2014)

LiDAR Data, DEM, and Maximum Vegetation Height Product from Southern Idaho, 2014
land NASA ORNL_CLOUD Level 2 multiple
In plain English

What it measures. A detailed 3D scan of the ground and plants across two areas in southern Idaho, captured in August 2014. It includes the raw cloud of laser-measured points plus finished maps showing ground elevation and the height of the tallest vegetation.

How it's made. Built from laser pulses fired downward from an airplane, then cleaned of noise, aligned between flight lines, and packaged into 1-kilometer map tiles.

How & where you'd use it. Useful for studying terrain, mapping how tall trees and shrubs grow in a watershed, and tracking landscape and vegetation change over time.

What's measured

LAND SURFACE › TOPOGRAPHY › TERRAIN ELEVATION › DIGITAL ELEVATION/TERRAIN MODEL (DEM)LAND SURFACE › TOPOGRAPHY › TERRAIN ELEVATIONSPECTRAL/ENGINEERING › LIDARBIOSPHERE › VEGETATION › CANOPY CHARACTERISTICS

Coverage & cadence

  • Time span2014-08-23 → 2014-08-31
  • Measured byAirplane (LIDAR)
  • Processing levelLevel 2
  • Spatial extent-116.889, 42.2848, -114.678, 43.3257
  • Formatsmultiple
  • StatusCOMPLETE

What you can do with it

  • Track deforestation, fire scars and land-cover change
  • Monitor crop and vegetation health (NDVI/EVI)
  • Map how built-up vs. green an area is over time
Official description

This dataset provides the point cloud data derived from small footprint waveform LiDAR data collected in August 2014 over Reynolds Creek Experimental Watershed and Hollister in southern Idaho. The LiDAR data have been georeferenced, noise-filtered, and corrected for misalignment for overlapping flight lines and are provided in 1 km tiles. High resolution digital elevation models and maps of maximum vegetation height derived from the LiDAR data are provided for each site.

Get the data

lidar_veg_ht_idaho_1532_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="LiDAR_Veg_Ht_Idaho_1532",
    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.