You are here: Home
/ Publication Information
Title: A sample design for globally consistent biomass estimation using lidar data from the Geoscience Laser Altimeter System (GLAS)
Author: Healey, Sean P.; Patterson, Paul L.; Saatchi, Sassan S.; Lefsky, Michael A.; Lister, Andrew J.; Freeman, Elizabeth A.;
Source: Carbon Balance and Management. 7: 10.
Publication Series: Scientific Journal (JRNL)
Description: Lidar height data collected by the Geosciences Laser Altimeter System (GLAS) from 2002 to 2008 has the potential to form the basis of a globally consistent sample-based inventory of forest biomass. GLAS lidar return data were collected globally in spatially discrete full waveform "shots," which have been shown to be strongly correlated with aboveground forest biomass. Relationships observed at spatially coincident field plots may be used to model biomass at all GLAS shots, and well-established methods of model-based inference may then be used to estimate biomass and variance for specific spatial domains. However, the spatial pattern of GLAS acquisition is neither random across the surface of the earth nor is it identifiable with any particular systematic design. Undefined sample properties therefore hinder the use of GLAS in global forest sampling.
Keywords: biomass, forest monitoring, remote sensing, lidar
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
XML: View XML
Healey, Sean P.; Patterson, Paul L.; Saatchi, Sassan S.; Lefsky, Michael A.; Lister, Andrew J.; Freeman, Elizabeth A. 2012. A sample design for globally consistent biomass estimation using lidar data from the Geoscience Laser Altimeter System (GLAS). Carbon Balance and Management. 7: 10.
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility