GLLIDARPC v001

G-LiHT LiDAR Point Cloud


PI: Bruce Cook

Description

Goddard’s LiDAR, Hyperspectral, and Thermal Imager (G-LiHT) mission is a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico.

The purpose of G-LiHT’s LiDAR Point Cloud data product (GLLIDARPC) is to provide high-density individual LiDAR return data, including 3D coordinates, classified ground returns, Above Ground Level (AGL) heights, and LiDAR apparent reflectance.

GLLIDARPC data are processed as a LAS Version 1.1 binary format specified by the American Society for Photogrammetry and Remote Sensing (ASPRS). The point cloud includes a density of more than 10 points per square meter. A low resolution browse is also provided showing the LiDAR Point Cloud as an Inverse Data Weighted (IDW) interpolation in PNG format.

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Characteristics

Collection and Granule

Collection

Characteristic Description
CollectionG-LiHT
DOI10.5067/Community/GLIHT/GLLIDARPC.001
File Size~250 MB
Temporal ResolutionOther
Temporal Extent2011-06-30 to Present
Spatial ExtentNorth America
Coordinate SystemUniversal Transverse Mercator (UTM)
DatumWorld Geodetic System (WGS84)
File FormatLAS
Geographic DimensionsVariable

Granule

Characteristic Description
Number of Science Dataset (SDS) Layers1
Columns/RowsVariable
Pixel Size~1 m

Layers

SDS Name Description Units Data Type Fill Value No Data Value Valid Range Scale Factor
LiDAR Point Cloud LiDAR Point Cloud Meters N/A N/A NaN N/A N/A

Product Quality

Once available, detailed quality information for the GLLIDARPC product can be found on the G-LiHT website.


About the image

G-LiHT LiDAR Point Cloud image, acquired over the University of Tennessee, Knoxville, TN, March 25, 2015.

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Documentation

User Guide

Using the Data

Access Data

Citation

DOI: 10.5067/Community/GLIHT/GLLIDARPC.001