Field and LiDAR-based estimates of above-ground biomass in the Yukon River Watershed, Alaska (2023) ...

• Main Authors: Geyman, Emily, Anadu, Joshua, Cushman, KC, Douglas, Madison, Dunne, Kieran, Fischer, Woodward, Ke, Yutian, Lamb, Michael, Magyar, John, Nghiem, Justin, Reahl, Jocelyn, Seelen, Emily, Smith, Isabel, West, Joshua
• Format: Dataset
• Language: English
• Published: NSF Arctic Data Center 2023
• Subjects: Biomass; LiDAR; Alaska; Vegetation; Carbon; Permafrost; River; Huslia; Yukon; permafrost; Yukon river
• Online Access: https://dx.doi.org/10.18739/a23b5w95n; https://arcticdata.io/catalog/view/doi:10.18739/A23B5W95N

This dataset includes field measurements of above-ground biomass made between May and October, 2023 in three locations within the Yukon River Watershed: Huslia, Alaska(AK) (65.700 N, 156.387W), Beaver, AK (66.362 N, 147.398W), and Alakanuk, AK (62.685N, 164.644W). We measured a total of 11,335 trees, distributed in 190 field plots (approximately 10 meter (m) x 10 m). We apply allometric scaling relations to convert measurements of tree diameter to kilograms of dry biomass. We then link these filed measurements of above-ground biomass density to the mean forest canopy height (MCH), derived from airborne Light Detection and Ranging (LiDAR) data. We derive empirical regressions linking MCH to above-ground biomass in each of the field sites, and then apply these empirical relationships to the LiDAR datasets to obtain maps of above-ground biomass density. This dataset includes both the field observations (coordinates, tree type, and tree diameter of the 11,335 inventoried trees) and the processed above-ground ...