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CMS: GLAS LiDAR-derived Global Estimates of Forest Canopy Height, 2004-2008

Data Set Overview

Data setCMS: GLAS LiDAR-derived Global Estimates of Forest Canopy Height, 2004-2008
DOI10.3334/ORNLDAAC/1271
Release date2016-05-16
ProjectCarbon Monitoring System (CMS)
Time Period2004-10-03

Description

This data set provides estimates of forest canopy height derived from the Geoscience Laser Altimeter System (GLAS) LiDAR instrument that was aboard the NASA Ice, Cloud, and land Elevation (ICESat) satellite. A global GLAS waveform data set (n=12,336,553) from collection periods between October 2004 and March 2008 was processed to obtain canopy height estimates. Estimates of GLAS maximum canopy height and crown-area-weighted Lorey's height are provided for 18,578 statistically-selected globally distributed forested sites in a point shapefile. Country is included as a site attribute. Also provided is the average canopy height for the forested area of each country, plus the number of GLAS data footprints (shots), number of selected sample sites, and estimates of the variance for each country.

Documentation

Data set reference document

Citation

Healey, S.P., M.W. Hernandez, D.P. Edwards, M.A. Lefsky, E. Freeman, P.L. Patterson, E.J. Lindquist, and A.J. Lister. 2015. CMS: GLAS LiDAR-derived Global Estimates of Forest Canopy Height, 2004-2008. ORNL DAAC, Oak Ridge, Tennessee, USA https://doi.org/10.3334/ORNLDAAC/1271
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Project

Carbon Monitoring System (CMS): The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.

Companion Files

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  • LIDAR_FOREST_CANOPY_HEIGHTS.pdf

Data Files

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Data File (Granule)File SizeDates
All_countries_hmax_hlorey.zip 1.1MB 2004-10-03 - 2004-11-08
GLAS_mean_canopy_height_by_country.csv 8.6KB 2004-10-03 - 2004-11-08

Use Metrics

NumberEarliest DateLastest DateNotes
Publications120162016Publications Citing this data set
Downloads572016-06-032017-05-21240 total files downloaded