Treesearch
Proceedings of the fourth annual Forest Inventory and Analysis symposium
| Authors: | Ronald E. McRoberts, Gregory A Reams, Paul C. Van Deusen, William McWilliams, Chris J. Cieszewski, Chris J., eds. Cieszewski |
| Year: | 2005 |
| Type: | General Technical Report |
| Station: | Northern Research Station |
| DOI: | https://doi.org/10.2737/NC-GTR-252 |
| Source: | Proceedings of the fourth annual Forest Inventory and Analysis symposium; 2002 November 19-21; New Orleans, LA. Gen. Tech. Rep. NC-252. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station. 257 p. |
Download (PDF 15.51 MB): https://research.fs.usda.gov/download/treesearch/13082.pdf
Abstract
Documents contributions to forest inventory in the areas of sampling, remote sensing, modeling, information management and analysis for the Forest Inventory and Analysis program of the USDA Forest Service.Titles contained within Proceedings of the fourth annual Forest Inventory and Analysis symposium
- General Constraints on Sampling Wildlife on FIA Plots
- The Application of FIA-based Data to Wildlife Habitat Modeling: A Comparative Study
- Nonnative Plants in the Inventory of Western Oregon Forests
- Providing Confidence in Regional Maps in Predicting Where Nonnative Species are Invading the Forested Landscape
- Measuring Tree Seedlings and Associated Understory Vegetation in Pennsylvania's Forests
- Linking Soils and Down Woody Material Inventories for Cohesive Assessments of Ecosystem Carbon Pools
- Clearcutting in the South: Issues, Status, and Trends
- The Effect of Data Quality on Short-term Growth Model Projections
- Partitioning the Uncertainty in Estimates of Mean Basal Area Obtained from 10-year Diameter Growth Model Predictions
- Individual-tree Green Weight Equations for Loblolly Pine (Pinus taeda L.) Sawtimber in the Coastal Plain of Arkansas
- Self-referencing Taper Curves for Loblolly Pine
- D.B.H. and Survival Analysis: A New Methodology for Assessing Forest Inventory Mortality
- Analysis of Pooled FIA and Remote Sensing Data for Fiber Supply Assessment at the Warnell School of Forest Resources at the University of Georgia - Other Studies and Effective Information Dissemination
- Rapid Classification of Landsat TM Imagery for Phase 1 Stratification Using the Automated NDVI Threshold Supervised Classification (ANTSC) Methodology
- Quantifying Forest Ground Flora Biomass Using Close-range Remote Sensing
- Measuring Forest Area Loss Over Time Using FIA Plots and Satellite Imagery
- Spatially Locating FIA Plots from Pixel Values
- Variable Selection Strategies for Small-area Estimation Using FIA Plots and Remotely Sensed Data
- Distributing FIA Information onto Segmented Landsat Thematic Mapper Images Stratified with Industrial Ground Data
- Assessing the Effects of Forest Fragmentation Using Satellite Imagery and Forest Inventory Data
- Comparing Forest/Nonforest Classifications of Landsat TM Imagery for Stratifying FIA Estimates of Forest Land Area
- Use of Semivariances for Studies of Landsat TM Image Textural Properties of Loblolly Pine Forests
- Alternative Natural Resource Monitoring Strategies in the Mexican States of Jalisco and Colima
- Coordination, Cooperation, and Collaboration between FIA and NRI
- The Effects of Removing Condition Boundaries on FIA Estimates
- Comparison of Imputation Procedures for Replacing Denied-access Plots
- Strategies for Preserving Owner Privacy in the National Information Management System of the USDA Forest Service's Forest Inventory and Analysis Unit
- COLE: A Web-based Tool for Interfacing with Forest Inventory Data
- The Sensitivity of Derived Estimates to the Measurement Quality Objectives for Independent Variables
- Modeling Missing Remeasurement Tree Heights in Forest Inventory Data
- An Alternative View of Some FIA Sample Design and Analysis Issues
- Sensitivity of FIA Volume Estimates to Changes in Stratum Weights and Number of Strata
- Sensitivity Analysis of Down Woody Material Data Processing Routines
- Simulating Silvicultural Treatments Using FIA Data
- Spatial Information Needs on the Fishlake National Forest: Can FIA Help?
- Predictive Mapping of Forest Attributes on the Fishlake National Forest
- TIGER 2000 and FIA
- Regression and Geostatistical Techniques: Considerations and Observations from Experiences in NE-FIA
- Development and Validation of Spatially Explicit Habitat Models for Cavity-nesting Birds in Fishlake National Forest, Utah
- Integrating Spatial Components into FIA Models of Forest Resources: Some Technical Aspects
- Using FIA and GIS Data to Estimate Areas and Volumes of Potential Stream Management Zones and Road Beautifying Buffers