GLCHMT v001

G-LiHT Canopy Height Model


PI: Bruce Cook

Description

Goddard’s LiDAR, Hyperspectral, and Thermal Imager (G-LiHT) mission utilizes 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 Canopy Height Model data product (GLCHMT) is to provide LiDAR-derived maximum canopy height and canopy variability information to aid in the study and analysis of biodiversity and climate change. Scientists at NASA’s Goddard Space Flight Center began collecting data over locally-defined areas in 2011 and the collection will continue to grow as aerial campaigns are flown and processed.

GLCHMT data are processed as a raster data product (GeoTIFF) at a nominal 1 meter spatial resolution over locally-defined areas. A low resolution browse is also provided showing the canopy height with a color map applied in JPEG format.

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Characteristics

Collection and Granule

Collection

Characteristic Description
CollectionG-LiHT
DOI10.5067/Community/GLIHT/GLCHMT.001
File Size<125 MB
Temporal ResolutionOther
Temporal Extent2011-06-30 to Present
Spatial ExtentNorth America
Coordinate SystemUniversal Transverse Mercator (UTM)
DatumWorld Geodetic System (WGS84)
File FormatGeoTIFF
Geographic DimensionsVariable

Granule

Characteristic Description
Number of Science Dataset (SDS) Layers1
Columns/RowsVariable
Pixel Size1 m

Layers

SDS Name Description Units Data Type Fill Value No Data Value Valid Range Scale Factor
Canopy Height Model Canopy Height Model Meters 32-bit floating point N/A NaN 0 to 70 N/A

Product Quality

Detailed information on quality for the GLCHMT product can be found on the G-LiHT website.


About the image

G-LiHT Canopy Height Model GeoTIFF, acquired June 2012 over Bowie, Maryland.

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Documentation

User Guide

Using the Data

Access Data

Citation

DOI: 10.5067/Community/GLIHT/GLCHMT.001