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Field plot measures and predictive map products for "Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data"

dataset
posted on 2025-03-01, 03:44 authored by Andrew T. Hudak
This data publication contains LiDAR data (for predictor variables) and plot tree data (for response variables) used in the modeling and mapping of species-level basal area and tree density across two diverse coniferous forest landscapes in north-central Idaho.It also contains the Arc/INFO GRID raster maps for both study areas showing predicted species-level basal area and tree density.
Our goal is to use LiDAR data to produce precise maps of basic forest structural attributes to benefit forest managers. We will strive to make maps with accuracies surpassing those of maps made using traditional methods and we believe that the high precision and spatial density of LiDAR data offers opportunities for improvement upon traditional forest management practices.
These data are directly associated with the publications "Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data" and Corrigendum to "Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data" shown in the cross-reference section. Original metadata date was 11/15/2010. Metadata modified on 04/25/2011 to adjust citation to include the addition of a DOI (digital object identifier). Minor metadata updates on 02/20/2013. Minor metadata updates on 12/19/2016.

Funding

USDA-FS

History

Data contact name

Andrew T. Hudak

Data contact email

laurie.s.porth@usda.gov

Publisher

USDA Forest Service, Rocky Mountain Research Station

Use limitations

These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation: Hudak, Andrew T. 2010. Field plot measures and predictive map products for "Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data". Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. https://doi.org/10.2737/RDS-2010-2012

Temporal Extent Start Date

2005-06-01

Temporal Extent End Date

2008-05-31

Theme

  • Not specified

Geographic Coverage

{"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-117.032349918, 47.3155801428], [-117.032349918, 46.7553230635], [-115.973276871, 46.7553230635], [-115.973276871, 47.3155801428], [-117.032349918, 47.3155801428]]]}, "properties": {}}]}

Geographic location - description

There are two study areas, both are in northern Idaho: Moscow Mountain (32,708 hectares), and St. Joe Woodlands (55,684 hectares).

ISO Topic Category

  • biota
  • environment

National Agricultural Library Thesaurus terms

Forestry, Wildland Management

OMB Bureau Code

  • 005:96 - Forest Service

OMB Program Code

  • 005:059 - Management Activities

Pending citation

  • No

Public Access Level

  • Public

Identifier

RDS-2010-0012