Echidna Lidar: Forest Canopy Scans and Field Data, 2007-2009

112 ground-based lidar scans from the Echidna Validation Instrument capture forest structure across three U.S. campaigns. The dataset pairs these near-infrared canopy images with manual field measurements of tree species, DBH, height, and crown base. A validation file directly compares lidar-derived metrics like stem density and leaf area index to physical measurements from the 2007 New England campaign.

Use Cases

• Validating ground-based lidar algorithms for estimating stem diameter and density using the provided comparison file.
• Training computer vision models on canopy structure using the ENVI-format Andrieu Transpose projection images.
• Correlating physical tree measurements (e.g., DBH, species) with lidar-derived foliage profiles and leaf area index.
• Studying forest structural variation across three distinct U.S. ecoregions: New England, Sierra Nevada, and Maine.

Strengths

• Contains 112 specific, geolocated lidar scan images (28, 30, and 54 per campaign) with preview JPEGs.
• Includes ground-truth field measurements for key forest parameters (species, DBH, height) organized by plot.
• Provides a direct validation dataset comparing lidar-derived and manually measured metrics for the 2007 campaign.

Limitations

• Metadata conflict: last update dates are inconsistent (2009 on NASA Earthdata vs. 2026 on Data.gov).
• Column names and exact row counts for the tabular field measurement files are not specified.
• The license is ambiguously listed as 'other-license-specified' without explicit terms.

Provenance

Source

National Aeronautics and Space Administration

Collection Method

Data collected via ground-based scanning near-infrared lidar (Echidna Validation Instrument) and concurrent manual field measurements.

Time Range

2007-2009

Freshness

2026-04-10 03:44:18.840730

Geography

United States: Harvard Forest (MA), Howland Research Forest (ME), Bartlett Experimental Forest (NH), and Sierra National Forest (CA).