Spatially explicit estimation of aboveground boreal forest biomass in the Yukon River Basin, Alaska
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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.
Study Area
| 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 |
| Google Analytic Metrics | Metrics page |