LiDAR Point Cloud and DEM for Southern Idaho Watersheds

August 2014 LiDAR point cloud data covers the Reynolds Creek Experimental Watershed and Hollister in southern Idaho. The dataset includes georeferenced, noise-filtered point clouds provided in 1 km tiles, alongside derived high-resolution digital elevation models and maximum vegetation height maps. Data originates from the ORNL_CLOUD organization.

Use Cases

• Generating high-resolution terrain models from the provided DEM data.
• Analyzing vegetation canopy structure using the maximum vegetation height maps.
• Calibrating or validating other remote sensing products with the georeferenced LiDAR point clouds.
• Studying watershed topography and hydrology for the specific southern Idaho sites.

Strengths

• Data is pre-processed, including georeferencing, noise filtering, and correction for flight line misalignment.
• Covers two distinct research sites (Reynolds Creek and Hollister) for comparative analysis.
• Provides multiple derived products (DEM, vegetation height maps) alongside the raw point cloud data.

Limitations

• Specific row counts, file sizes, and detailed column/attribute names are not provided by any source.
• Sources conflict on the last updated date (2014-08 31 vs. 2026-03-13), creating uncertainty about metadata maintenance.

Provenance

Source

ORNL_CLOUD

Collection Method

Derived from small footprint waveform LiDAR data collected via airborne survey.

Time Range

2014-08

Freshness

2026-03-13 01:10:26.497351

Geography

Reynolds Creek Experimental Watershed and Hollister in southern Idaho, USA.