Title:

Paired quality assurance and operational field data from the northern region of the U.S. Forest Inventory and Analysis program

Author(s):

Barnett, Charles J.; Young, Alexander R.

Publication Year:

2022

How to Cite:

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:

Barnett, Charles J.; Young, Alexander R. 2022. Paired quality assurance and operational field data from the northern region of the U.S. Forest Inventory and Analysis program. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2022-0056

Abstract:

This publication includes collected forest measurement and quality assurance (QA) data used to quantify measurement uncertainty within the data collected by the Northern Region of the USDA Forest Service, Forest Inventory and Analysis (FIA). Field data were collected for the FIA program by the field crew and then the quality assurance crews collected data on the same trees and plots in order to examine bias and assess compliance with measurement quality objectives. The data in this publication include both the FIA and QA measurements from a recent inventory cycle from 2011 to 2016 with measurements occurring from October 2010 to April 2017, depending on the state.

Keywords:

biota; planningCadastre; Ecology, Ecosystems, & Environment; Inventory, Monitoring, & Analysis; Assessments; Monitoring; Resource inventory; quality assurance; quality control; field crew; measurement error; Connecticut; Delaware; Illinois; Indiana; Iowa; Kansas; Maine; Maryland; Massachusetts; Michigan; Minnesota; Missouri; Nebraska; New Hampshire; New Jersey; New York; North Dakota; Ohio; Pennsylvania; Rhode Island; South Dakota; Vermont; West Virginia; Wisconsin

Related publications:

• Yanai, Ruth D.; Young, Alexander R.; Campbell, John L.; Westfall, James A.; Barnett, Charles J.; Dillon, Gretchen A.; Green, Mark B.; Woodall, Christopher W. 2022. Measurement uncertainty in a national forest inventory: results from the Northern Region of the USA. Canadian Journal of Forest Research. November 2022. https://doi.org/10.1139/cjfr-2022-0062
• Gormanson, Dale D.; Pugh, Scott A.; Barnett, Charles J.; Miles, Patrick D.; Morin, Randall S.; Sowers, Paul A.; Westfall, James A. 2017. Statistics and quality assurance for the Northern Research Station Forest Inventory and Analysis Program, 2016. General Technical Report. NRS-166. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. 23 pages. https://doi.org/10.2737/NRS-GTR-166
• Pollard, James E.; Westfall, James A.; Patterson, Paul L.; Gartner, David L.; Hansen, Mark; Kuegler, Olaf. 2006. Forest Inventory and Analysis National Data Quality Assessment Report for 2000 to 2003. General Technical Report. RMRS-GTR-181. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 43 pages. https://doi.org/10.2737/RMRS-GTR-181
• U.S. Department of Agriculture, Forest Service, Northern Research Station. 2019. NRS FIA - Data Collection Quality Assurance System. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. Last accessed May 25, 2022. https://www.nrs.fs.usda.gov/fia/data-collection/docs/Q80%2020190711.pdf

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