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

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...

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Bibliographic Details
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:
Online Access:https://dx.doi.org/10.18739/a23b5w95n
https://arcticdata.io/catalog/view/doi:10.18739/A23B5W95N
Description
Summary: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 ...