Development of a Regression Kriging Model Conditioned with Sequential Gaussian Simulation to Predict the Spatial Distribution of Site Index for The Savannah River Site.
- USDA Forest Service, Southern Research Station
The primary research objective of the project is to determine an optimum model to spatially interpolate point derived tree site index (SI). This optimum model will use relevant data from 635 measured sample points to create continuous 40 meter SI raster layer of entire study extent.
- Research Organization:
- USDA Forest Service-Savannah River, New Ellenton, SC
- Sponsoring Organization:
- USDOE; USDOE Office of Environmental Management (EM), Project Management (EM-50)
- Contributing Organization:
- USDA Forest Service-Savannah River
- DOE Contract Number:
- AI09-00SR22188
- OSTI ID:
- 1127174
- Report Number(s):
- 12-17-R; na
- Country of Publication:
- United States
- Language:
- English
Similar Records
Point and Fixed Plot Sampling Inventory Estimates at the Savannah River Site, South Carolina.
Modeling forest site productivity using mapped geospatial attributes within a South Carolina Landscape, USA
A survey of cavity-nesting bees and wasps in loblolly pine stands of the Savannah River Site, Aiken County, South Carolina.
Technical Report
·
Sun Feb 01 00:00:00 EST 2004
·
OSTI ID:1127174
Modeling forest site productivity using mapped geospatial attributes within a South Carolina Landscape, USA
Journal Article
·
Fri Dec 15 00:00:00 EST 2017
· Forest Ecology and Management
·
OSTI ID:1127174
+2 more
A survey of cavity-nesting bees and wasps in loblolly pine stands of the Savannah River Site, Aiken County, South Carolina.
Journal Article
·
Wed Mar 10 00:00:00 EST 2004
· J. Entomol. Sci.
·
OSTI ID:1127174