Site class and site index: two estimates of site quality for the Southern Research Station Forest Inventory and Analysis Program

2019 ◽  
Author(s):  
John S. Vissage ◽  
Travis R. Greer ◽  
Thomas J. Brandeis
Keyword(s):  
Forest Inventory ◽  
Site Index ◽  
Site Quality ◽  
Research Station ◽  
Analysis Program ◽  
Site Class ◽  
Forest Inventory And Analysis

scholarly journals Statistics and Quality Assurance for the Northern Research Station Forest Inventory and Analysis Program

2018 ◽  
Author(s):  
Dale D. Gormanson ◽  
Scott A. Pugh ◽  
Charles J. Barnett ◽  
Patrick D. Miles ◽  
Randall S. Morin ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Forest Inventory ◽  
Research Station ◽  
Analysis Program ◽  
Forest Inventory And Analysis

scholarly journals Statistics and quality assurance for the Northern Research Station Forest Inventory and Analysis Program, 2016

2017 ◽  
Author(s):  
Dale D. Gormanson ◽  
Scott A. Pugh ◽  
Charles J. Barnett ◽  
Patrick D. Miles ◽  
Randall S. Morin ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Forest Inventory ◽  
Research Station ◽  
Analysis Program ◽  
Forest Inventory And Analysis

Cubic and Board Foot Volume Models for the Central States

1991 ◽  
Vol 8 (2) ◽  
pp. 47-57 ◽  
Author(s):  
Jerold T. Hahn ◽  
Mark H. Hansen
Keyword(s):  
Forest Inventory ◽  
Site Index ◽  
Forest Service ◽  
Timber Species ◽  
Usda Forest Service ◽  
Data Set ◽  
Forest Inventory And Analysis ◽  
Regression Techniques ◽  
Species Groups ◽  
Volume Models

Abstract This paper presents tree volume models developed for major timber species in the Central States (Indiana, Illinois, Missouri, and Iowa). Models for estimating gross tree volume (either cubic foot or board foot International ¼-in. log rule) and percent cull were developed for 23 species or species groups. These models estimate volume based on observed dbh and tree site index. Nonlinear regression techniques were used to fit a Weibull-type function to estimate gross volume with a data set containing observations from more than 50,000 trees measured throughout the region. A simple linear model was used to estimate percent cull in a tree for each of several tree classes. These models are being used in the statewide inventories now underway in Missouri and Iowa and may be used by anyone desiring volume-per-tree estimates that are comparable to USDA Forest Service Forest Inventory and Analysis estimates in these areas. North. J. Appl. For. 8(2):47-57

Using satellite imagery as ancillary data for increasing the precision of estimates for the Forest Inventory and Analysis program of the USDA Forest Service

2005 ◽  
Vol 35 (12) ◽  
pp. 2968-2980 ◽  
Author(s):  
Ronald E McRoberts ◽  
Geoffrey R Holden ◽  
Mark D Nelson ◽  
Greg C Liknes ◽  
Dale D Gormanson
Keyword(s):  
Satellite Imagery ◽  
Forest Inventory ◽  
Forest Service ◽  
Analysis Program ◽  
Ancillary Data ◽  
Usda Forest Service ◽  
Forest Inventory And Analysis ◽  
New Approach ◽  
Areas Of Interest ◽  
Effective Source

Forest inventory programs report estimates of forest variables for areas of interest ranging in size from municipalities, to counties, to states or provinces. Because of numerous factors, sample sizes are often insufficient to estimate attributes as precisely as is desired, unless the estimation process is enhanced using ancillary data. Classified satellite imagery has been shown to be an effective source of ancillary data that, when used with stratified estimation techniques, contributes to increased precision with little corresponding increase in cost. Stratification investigations conducted by the Forest Inventory and Analysis program of the USDA Forest Service are reviewed, and a new approach to stratification using satellite imagery is proposed. The results indicate that precision may be substantially increased for estimates of both forest area and volume per unit area.

A primer for nonresponse in the US forest inventory and analysis program

2011 ◽  
Vol 184 (3) ◽  
pp. 1423-1433 ◽  
Author(s):  
Paul L. Patterson ◽  
John W. Coulston ◽  
Francis A. Roesch ◽  
James A. Westfall ◽  
Andrew D. Hill
Keyword(s):  
Forest Inventory ◽  
Analysis Program ◽  
Forest Inventory And Analysis ◽  
The Us
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