Special Section on Remote Sensing Applications to Wildland Fire Research in the Eastern United States: Selected Papers from the 2007 EastFIRE Conference

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

[+] Author Affiliations
Daolan Zheng

Department of Natural Resources, University of New Hampshire, 215 James Hall, Durham, NH 03824

Linda S. Heath

Northern Research Station, USDA Forest Service, 271 Mast Rd., Durham, NH 03824

Mark J. Ducey

Department of Natural Resources, University of New Hampshire, 215 James Hall, Durham, NH 03824

J. Appl. Remote Sens. 2(1), 021502 (May 20, 2008). doi:10.1117/1.2940686
History: Received October 8, 2007; Revised April 22, 2008; Accepted May 9, 2008; May 20, 2008; Online May 20, 2008
Text Size: A A A

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.

© 2008 Society of Photo-Optical Instrumentation Engineers

Citation

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", J. Appl. Remote Sens. 2(1), 021502 (May 20, 2008). ; http://dx.doi.org/10.1117/1.2940686


Figures

Tables

Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.