Spatial distribution of forest aboveground biomass estimated from remote sensing and forest inventory data in New England, USA

Daolan Zheng; Linda S. Heath; Mark J. Ducey

doi:10.1117/1.2940686

1 May 2008 Spatial distribution of forest aboveground biomass estimated from remote sensing and forest inventory data in New England, USA

Daolan Zheng, Linda S. Heath, Mark J. Ducey

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 2, Issue 1, 021502 (May 2008). https://doi.org/10.1117/1.2940686

Abstract

We combined satellite (Landsat 7 and Moderate Resolution Imaging Spectrometer) and U.S. Department of Agriculture forest inventory and analysis (FIA) data to estimate forest aboveground biomass (AGB) across New England, USA. This is practical for large-scale carbon studies and may reduce uncertainty of AGB estimates. We estimate that total regional forest AGB was 1,867 teragram (10¹², dry weight) in 2001, with a mean AGB density of 120 Mg/ha (Standard deviation = 54 Mg/ha) ranging from 15 to 240 Mg/ha within a 95% percentile. The majority of regional AGB density was in the range of 80 to 160 Mg/ha (58.2%). High AGB densities were observed along the Appalachian Mountains from northwestern Connecticut to the Green Mountains in Vermont and White Mountains in New Hampshire, while low AGB densities were concentrated in the Downeast area of Maine (ME) and the Cape Cod area of Massachusetts (MA). At the state level, the averaged difference in mean AGB densities between simulated and FIA (as reference) was -2.0% ranging from 0% to -4.2% with a standard error of 3.2%. Within the 95% confidence interval the differences between FIA and simulated AGB densities ranged from 0 to 6% (absolute value). Our study may provide useful information for regional fuel-loading estimates.

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Daolan Zheng, Linda S. Heath, and Mark J. Ducey "Spatial distribution of forest aboveground biomass estimated from remote sensing and forest inventory data in New England, USA," Journal of Applied Remote Sensing 2(1), 021502 (1 May 2008). https://doi.org/10.1117/1.2940686

Published: 1 May 2008

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