High-Resolution Shrub Biomass and Uncertainty Maps, Toolik Lake Area, Alaska, 2013

Description

This dataset contains estimates for aboveground shrub biomass and uncertainty at high spatial resolution (0.80-m) across three research areas near Toolik Lake, Alaska. The estimates for August of 2013 were generated and mapped using Random Forest modeling with input variables of optimized LiDAR-derived canopy volume and height, mean NDVI from 4-band RGB color and near-IR orthophotographs, and harvested biomass data. Uncertainty in the final shrub biomass maps was quantified by producing separate maps showing the coefficient of variation (CV) of the Random Forest map estimates. Shrub biomass was harvested at Toolik Lake in 2014 and used to optimize inputs and validate the final model and these biomass data are also provided.

Resources

Name Format Description Link
The dataset's project home page HTML ABoVE project site Open resource
Get a related visualization PNG A: Overview of shrub biomass maps for the three LiDAR collection footprints (note biomass color scale is nonlinear). B-E: Enlarged view of a representative area showing B) RGB orthoimage for reference, C) Final shrub biomass map (color scale as in A), D) LiDAR-derived canopy volume at native resolution of 0.15m, and E) NDVI at native resolution of 0.043 m (Figure from Greaves et al., 2016). Open resource
View documentation related to this dataset HTML ORNL DAAC Data Set Documentation Open resource
Download this dataset HTML This link allows direct data access via Earthdata login Open resource
View documentation related to this dataset PDF High-Resolution Shrub Biomass Maps and Field Data, Toolik Lake Area, Alaska, 2013: Shrub_Biomass_Toolik_Lake_AK.pdf Open resource
This dataset's landing page HTML Data set Landing Page DOI URL Open resource
Google Scholar search results HTML Search results for publications that cite this dataset by its DOI. Open resource
Use Web Coverage Service (WCS) to download the dataset's data HTML Web Coverage Service for this collection. Open resource

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