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Evaluation and testing of standardized forest vegetation metrics derived from lidar data

Dates

Release Date
2017-10-01

Summary

The USGS 3D Elevation Program (3DEP) is managing the acquisition of lidar data across the Nation for high resolution mapping of the land surface, useful for multiple applications. Lidar data is initially collected as 3-dimensional “point clouds” that map the interaction of the airborne laser with earth surface features, including vegetation, buildings, and ground features. Generally the product of interest has been high resolution digital elevation models generated by filtering the point cloud for laser returns that come from the ground surface and removing returns from vegetation, buildings, powerlines, and other above ground features. However, there is a wealth of information in the full point cloud on vegetation structure that is [...]

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HAG_graphic.png
“Extracting height above ground vegetation data from 3DEP lidar”
thumbnail 454.66 KB image/png

Project Extension

projectProducts
productDescriptionThe research team for this project will combine, evaluate, and extend processing scripts developed for computing 3D forest canopy structural metrics from LiDAR data
statusExpected
productDescriptionRecommendations and workflows for the most appropriate geospatial output products and methodologies for a standardized set of vegetation canopy metrics
statusExpected
projectStatusCompleted

Extracting height above ground vegetation data from 3DEP lidar
Extracting height above ground vegetation data from 3DEP lidar

Communities

  • Community for Data Integration (CDI)

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