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Uncertainty of Forest Biomass Estimates in North Temperate Forests Due to Allometry: Implications for Remote Sensing
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
Electrical & Computer Engineering, College of Engineering, University of Massachusetts, Amherst, MA 01002, USA
School of Natural Resources and Environment, University of Michigan, Ann Arbor, MI 48109, USA
* Author to whom correspondence should be addressed.
Received: 20 April 2013; in revised form: 30 May 2013 / Accepted: 4 June 2013 / Published: 14 June 2013
Abstract: Estimates of above ground biomass density in forests are crucial for refining global climate models and understanding climate change. Although data from field studies can be aggregated to estimate carbon stocks on global scales, the sparsity of such field data, temporal heterogeneity and methodological variations introduce large errors. Remote sensing measurements from spaceborne sensors are a realistic alternative for global carbon accounting; however, the uncertainty of such measurements is not well known and remains an active area of research. This article describes an effort to collect field data at the Harvard and Howland Forest sites, set in the temperate forests of the Northeastern United States in an attempt to establish ground truth forest biomass for calibration of remote sensing measurements. We present an assessment of the quality of ground truth biomass estimates derived from three different sets of diameter-based allometric equations over the Harvard and Howland Forests to establish the contribution of errors in ground truth data to the error in biomass estimates from remote sensing measurements.
Keywords: biomass; allometry; uncertainty; Harvard forest; Howland forest
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MDPI and ACS Style
Ahmed, R.; Siqueira, P.; Hensley, S.; Bergen, K. Uncertainty of Forest Biomass Estimates in North Temperate Forests Due to Allometry: Implications for Remote Sensing. Remote Sens. 2013, 5, 3007-3036.
Ahmed R, Siqueira P, Hensley S, Bergen K. Uncertainty of Forest Biomass Estimates in North Temperate Forests Due to Allometry: Implications for Remote Sensing. Remote Sensing. 2013; 5(6):3007-3036.
Ahmed, Razi; Siqueira, Paul; Hensley, Scott; Bergen, Kathleen. 2013. "Uncertainty of Forest Biomass Estimates in North Temperate Forests Due to Allometry: Implications for Remote Sensing." Remote Sens. 5, no. 6: 3007-3036.