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Publication Information

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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.

Date: 2012

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

Publication Notes:

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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.

 


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