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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.

Version Description

This is version one of the G-LiHT dataset.

Product Summary

Platforms
Airplane
Instruments
Headwall ,
Riegl Airborne Lidar
Spatial Extent

N: 73 S: 10 E: -50 W: -170

Spatial Resolution
1 Meters x 1 Meters
Location
PUERTO RICO ,
MEXICO ,
UNITED STATES OF AMERICA
Coordinate System
CARTESIAN
Granule Spatial Representation
GEODETIC
Temporal Extent
2011-06-30 to Present
Temporal Resolution
Varies
Data Partner
Land Processes Distributed Active Archive Center (LP DAAC) ,
Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA (NASA/GSFC/SED/ESD)
Concept ID
C2763264735-LPCLOUD
Data State
ACTIVE
Number of Files/Granules
26714
Processing Level
3
Published
Updated
Science Keywords
Topography

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Cook, B., & Halota, A. (2021). G-LiHT Lidar Point Cloud V001 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/COMMUNITY/GLIHT/GLLIDARPC.001 Date Accessed: 2026-03-04

Documents

Variables

The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.

For questions on a specific variable, please use the Earthdata Forum.

Name Description Units Data Type Fill Value Valid Range Scale Factor
LiDAR Point Cloud LiDAR Point Cloud Meters OTHER N/A N/A N/A
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