Vol 9: Integrating forest inventory and analysis data into a LIDAR-based carbon monitoring system.Report as inadecuate



 Vol 9: Integrating forest inventory and analysis data into a LIDAR-based carbon monitoring system.


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This article is from Carbon Balance and Management, volume 9.AbstractBackground: Forest Inventory and Analysis FIA data may be a valuable component of a LIDAR-based carbon monitoring system, but integration of the two observation systems is not without challenges. To explore integration methods, two wall-to-wall LIDAR-derived biomass maps were compared to FIA data at both the plot and county levels in Anne Arundel and Howard Counties in Maryland. Allometric model-related errors were also considered. Results: In areas of medium to dense biomass, the FIA data were valuable for evaluating map accuracy by comparing plot biomass to pixel values. However, at plots that were defined as -nonforest-, FIA plots had limited value because tree data was not collected even though trees may be present. When the FIA data were combined with a previous inventory that included sampling of nonforest plots, 21 to 27% of the total biomass of all trees was accounted for in nonforest conditions, resulting in a more accurate benchmark for comparing to total biomass derived from the LIDAR maps. Allometric model error was relatively small, but there was as much as 31% difference in mean biomass based on local diameter-based equations compared to regional volume-based equations, suggesting that the choice of allometric model is important. Conclusions: To be successfully integrated with LIDAR, FIA sampling would need to be enhanced to include measurements of all trees in a landscape, not just those on land defined as -forest-. Improved GPS accuracy of plot locations, intensifying data collection in small areas with few FIA plots, and other enhancements are also recommended.



Author: Johnson, Kristofer D; Birdsey, Richard; Finley, Andrew O; Swantaran, Anu; Dubayah, Ralph; Wayson, Craig; Riemann, Rachel

Source: https://archive.org/







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