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A sample design for globally consistent biomass estimation using lidar data from the Geoscience Laser Altimeter System (GLAS)Author(s): Sean P. Healey; Paul L. Patterson; Sassan S. Saatchi; Michael A. Lefsky; Andrew J. Lister; Elizabeth A. Freeman
Source: Carbon Balance and Management. 7: 10.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
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DescriptionLidar 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.
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CitationHealey, 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.
Keywordsbiomass, forest monitoring, remote sensing, lidar
- Applying inventory methods to estimate aboveground biomass from satellite light detection and ranging (LiDAR) forest height data
- Global ecosystem dynamics investigation (GEDI) LiDAR sampling strategy
- Lidar-based estimates of aboveground biomass in the continental US and Mexico using ground, airborne, and satellite observations
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