Spatially explicit estimation of aboveground boreal forest biomass in the Yukon River Basin, Alaska

International Journal of Remote Sensing
By: , and 

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Abstract

Quantification of aboveground biomass (AGB) in Alaska’s boreal forest is essential to the accurate evaluation of terrestrial carbon stocks and dynamics in northern high-latitude ecosystems. Our goal was to map AGB at 30 m resolution for the boreal forest in the Yukon River Basin of Alaska using Landsat data and ground measurements. We acquired Landsat images to generate a 3-year (2008–2010) composite of top-of-atmosphere reflectance for six bands as well as the brightness temperature (BT). We constructed a multiple regression model using field-observed AGB and Landsat-derived reflectance, BT, and vegetation indices. A basin-wide boreal forest AGB map at 30 m resolution was generated by applying the regression model to the Landsat composite. The fivefold cross-validation with field measurements had a mean absolute error (MAE) of 25.7 Mg ha−1 (relative MAE 47.5%) and a mean bias error (MBE) of 4.3 Mg ha−1(relative MBE 7.9%). The boreal forest AGB product was compared with lidar-based vegetation height data; the comparison indicated that there was a significant correlation between the two data sets.

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Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Spatially explicit estimation of aboveground boreal forest biomass in the Yukon River Basin, Alaska
Series title International Journal of Remote Sensing
DOI 10.1080/01431161.2015.1004764
Volume 36
Issue 4
Year Published 2015
Language English
Publisher Taylor & Francis
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 15 p.
First page 939
Last page 953
Country United States
State Alaska
Other Geospatial Yukon River Basin
Online Only (Y/N) N
Additional Online Files (Y/N) N