Skip to Main Content
Use of ancillary data to improve the analysis of forest health indicatorsAuthor(s): Dave Gartner
Source: e-Gen. Tech Rep. SRS-GTR-179. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station. 52 p.
Publication Series: General Technical Report (GTR)
Station: Southern Research Station
PDF: Download Publication (5.95 MB)
DescriptionIn addition to its standard suite of mensuration variables, the Forest Inventory and Analysis (FIA) program of the U.S. Forest Service also collects data on forest health variables formerly measured by the Forest Health Monitoring program. FIA obtains forest health information on a subset of the base sample plots. Due to the sample size differences, the two sets of variables have traditionally been analyzed separately. However, the analysis of forest health indicator data can occur in conjunction with not only other stand characteristics (mensuration variables such as live-tree volume), but also with a plethora of ancillary information such climate data and satellite imagery. This document is designed to help people interested in using auxiliary information in the analysis of the forest health indicators.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
CitationGartner, Dave, Editor. 2013. Use of ancillary data to improve the analysis of forest health indicators. e-Gen. Tech Rep. SRS-GTR-179. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station. 52 p.
KeywordsAnalysis, ancillary data, coarse woody debris, estimation, forest health data, FIA
- The enhanced forest inventory and analysis program - national sampling design and estimation procedures
- Crown-condition classification: a guide to data collection and analysis
- Baseline results from the Lichen Community Indicator Program in the Pacific Northwest: Air quality patterns and evidence of a nitrogen pollution problem
XML: View XML