3-Dimensional (3D) Fuels Project: July 2018-February 2024

The 3-Dimensional (3D) Fuels study (SERDP Project RC19-1064) integrates field sampling, remote sensing, and 3D modeling to produce 3D fuels datasets for fire, fuels and smoke management mapping applications and wildland fire behavior and smoke modeling. Data collected for 18 sites across North America include raw, processed, and summarized voxel field data, forest floor field data, close-range Structure from Motion (SfM) photogrammetry, Terrestrial Laser Scanning (TLS) voxel datasets, TLS plot datasets, TLS unit datasets, Unmanned Aerial System SfM photogrammetry, and Aerial Laser Scanning (ALS) datasets. Site-specific data are located in its own separate dataset with the site name in the title (e.g.: Aucilla 3-Dimensional (3D) Fuels Project: Middle Aucilla Conservation Area). Metadata, including detailed methods and data dictionaries for the site-specific data, are located in this general 3D Fuels Project dataset.