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A comparison of small-area estimation techniques to estimate selected stand attributes using LiDAR-derived auxiliary variables

One of the challenges often faced in forestry is the estimation of forest attributes for smaller areas of interest within a larger population. Small-area estimation (SAE) is a set of techniques well suited to estimation of forest attributes for small areas in which the existing sample size is small and auxiliary information is available. Selected SAE methods were...

https://www.fs.usda.gov/treesearch/search?keywords=%22estimation%22&%3Bamp%3Bf%5B0%5D=author_facet%3A%22Griffith%2C%20Douglas%22&%3Bf%5B0%5D=author_facet%3A%22Stueve%2C%20Kirk%20M.%22&f%5B0%5D=author_facet%3A%22Monleon%2C%20Vicente%22&f%5B1%5D=author_facet%3A%22Tran%2C%20Hao%22&f%5B2%5D=author_facet%3A%22Hughes%2C%20Flint%22&f%5B3%5D=author_facet%3A%22Lewis%2C%20Mark%22&f%5B4%5D=author_facet%3A%22Houtman%2C%20Carl%22

Author(s):

Michael E. Goerndt; Vicente J. Monleon; Hailemariam Temesgen

Year:

2011

Keywords:

Source:

Canadian Journal of Forestry Research. 41: 1189-1201

On the estimation of spread rate for a biological population

We propose a nonparametric estimator for the rate of spread of an introduced population. We prove that the limit distribution of the estimator is normal or stable, depending on the behavior of the moment generating function. We show that resampling methods can also be used to approximate the distribution of the estimators.

Author(s):

Jim Clark; Lajos Horváth; Mark Lewis

Year:

2001

Keywords:

Moment-generating function, normal distribution, bootstrap

Source:

Statistics & Probability Letters 51 (2001) 225-234

An assessment of the impact of FIA's default assumptions on the estimates of coarse woody debris volume and biomass

Currently, Forest Inventory and Analysis estimation procedures use Smalian's formula to compute coarse woody debris (CWD) volume and assume that logs lie horizontally on the ground. In this paper, the impact of those assumptions on volume and biomass estimates is assessed using 7 years of Oregon's Phase 2 data. Estimates of log volume computed using Smalian...

Author(s):

Vicente J. Monleon

Year:

2009

Keywords:

down woody debris, line intersect sampling, Smalian's formula, intersect diameter, log inclination, Oregon

Source:

In: McWilliams, Will; Moisen, Gretchen; Czaplewski, Ray, comps. Forest Inventory and Analysis (FIA) Symposium 2008; October 21-23, 2008; Park City, UT. Proc. RMRS-P-56CD. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 8 p.

Analysis of area level and unit level models for small area estimation in forest inventories assisted with LiDAR auxiliary information

Forest inventories require estimates and measures of uncertainty for subpopulations such as management units. These units often times hold a small sample size, so they should be regarded as small areas. When auxiliary information is available, different small area estimation methods have been proposed to obtain reliable estimates for small areas. Unit level empirical...

Author(s):

Francisco Mauro; Vicente J. Monleon; Hailemariam Temesgen; Kevin R. Ford

Year:

2017

Keywords:

Small area estimation, forest inventory, LiDAR.

Source:

PLOS ONE. 12(12): e0189401-.

Sampling strategies for efficient estimation of tree foliage biomass

Conifer crowns can be highly variable both within and between trees, particularly with respect to foliage biomass and leaf area. A variety of sampling schemes have been used to estimate biomass and leaf area at the individual tree and stand scales. Rarely has the effectiveness of these sampling schemes been compared across stands or even across species. In addition,...

Author(s):

Hailemariam Temesgen; Vicente Monleon; Aaron Weiskittel; Duncan Wilson

Year:

2011

Keywords:

Source:

Forest Science. 57(2): 153-163

Estimating aboveground carbon density across forest landscapes of Hawaii: Combining FIA plot-derived estimates and airborne LiDAR

Remote sensing data have increasingly been employed in combination with field plot data to estimate aboveground carbon (C) stocks across heterogeneous forested landscapes around the world. The Forest Inventory and Analysis (FIA) program of the US Forest Service offers a gridded network of field plots which potentially can be linked to airborne Light Detection...

Author(s):

R. Flint Hughes; Gregory P. Asner; James A. Baldwin; Joseph Mascaro; Lori K.K. Bufil; David E. Knapp

Year:

2018

Keywords:

Forest carbon, Inventories, LiDAR, Hawai’i, Hawai’i Experimental Tropical Forest, Invasive species, Carnegie Airborne Observatory

Source:

Forest Ecology and Management. 424: 323-337

Using small area estimation and Lidar-derived variables for multivariate prediction of forest attributes

Small area estimation (SAE) techniques have been successfully applied in forest inventories to provide reliable estimates for domains where the sample size is small (i.e. small areas). Previous studies have explored the use of either Area Level or Unit Level Empirical Best Linear Unbiased Predictors (EBLUPs) in a univariate framework, modeling each variable of interest...

Author(s):

F. Mauro; Vicente Monleon; H. Temesgen

Year:

2015

Keywords:

Source:

In: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015. 2015 December 8–10; Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. p. 73.

Effects of height imputation strategies on stand volume estimation

Subsampling and subsequent imputation of tree heights can improve the predictive performance of stand volume estimation but may also introduce biases. Using coastal...

Author(s):

Sean M. Garber; H. Temesgen; Vicente J. Monleon; David W. Hann

Year:

2009

Keywords:

Stand volume estimation, predictive performance, tree height imputation

Source:

Canadian Journal of Forest Research

Challenges to estimating tree height via LiDAR in closed-canopy forest: a parable from western Oregon

We examine the accuracy of tree height estimates obtained via light detection and ranging (LiDAR) in a temperate rainforest characterized by complex terrain, steep slopes, and high canopy cover. The evaluation was based on precise top and base locations for > 1,000 trees in 45 plots distributed across three forest types, a dense network of ground elevation...

Author(s):

Demetrios Gatziolis; Jeremy S. Fried; Vicente S. Monleon

Year:

2010

Keywords:

airborne laser scanning, Pacific Northwest, terrain modeling, tree leaning, calibration

Source:

Forest Science. 56(2): 139-155

Estimating the quadratic mean diameters of fine woody debris in forests of the United States

Most fine woody debris (FWD) line-intersect sampling protocols and associated estimators require an approximation of the quadratic mean diameter (QMD) of each individual FWD size class. There is a lack of empirically derived QMDs by FWD size class and species/forest type across the U.S. The objective of this study is to evaluate a technique known as the graphical...

Author(s):

Christopher W. Woodall; Vicente J. Monleon

Year:

2010

Keywords:

fine woody debris, quadratic mean diameter, forest inventory, carbon, fuels

Source:

Forest Ecology and Management. 260: 1088-1093.

Estimation of changes of forest structural attributes at three different spatial aggregation levels in Northern California using multitemporal LiDAR

Accurate estimates of growth and structural changes are key for forest management tasks such as determination of optimal rotation times, optimal rotation times, site indices and for identifying areas experiencing difficulties to regenerate. Estimation of structural changes, especially for biomass, is also key to quantify greenhouse gas (GHG) emissions/sequestration. We...

Author(s):

Francisco Mauro; Martin Ritchie; Brian Wing; Bryce Frank; Vicente Monleon; Hailemariam Temesgen; Andrew Hudak

Year:

2019

Keywords:

forest structure change, EBLUP, small area estimation, multitemporal LiDAR and stand-level estimates

Source:

Remote Sensing. 11: 923.

Use of multi-temporal UAV-derived imagery for estimating individual tree growth in Pinus pinea stands

High spatial resolution imagery provided by unmanned aerial vehicles (UAVs) can yield accurate and efficient estimation of tree dimensions and canopy structural variables at the local scale. We flew a low-cost, lightweight UAV over an experimental Pinus pinea L. plantation (290 trees distributed over 16 ha with different fertirrigation treatments)...

Author(s):

Juan Guerra-Hernández; Eduardo González-Ferreiro; Vicente Monleon; Sonia Faias; Margarida Tomé; Ramón Díaz-Varela

Year:

2017

Keywords:

Unmanned aerial vehicles (UAV), forest inventory, biomass growth, canopy height model (CHM), object based image analysis (OBIA), Structure from Motion (SfM).

Source:

Forests. 8(8): 300-.

Minimizing bias in biomass allometry: Model selection and log transformation of data

Nonlinear regression is increasingly used to develop allometric equations for forest biomass estimation (i.e., as opposed to the raditional approach of log-transformation followed by linear regression). Most statistical software packages, however, assume additive errors by default, violating a key assumption of allometric theory and possibly producing spurious models....

Author(s):

Joseph Mascaro; undefined undefined; Flint Hughes; Amanda Uowolo; Stefan A. Schnitzer

Year:

2011

Keywords:

allometry, Hawai‘i, heteroscedasticity, linear regression, nonlinear regression analysis, Psidium cattleianum

Source:

Biotropica (online)

A hierarchical linear model for tree height prediction.

Measuring tree height is a time-consuming process. Often, tree diameter is measured and height is estimated from a published regression model. Trees used to develop these models are clustered into stands, but this structure is ignored and independence is assumed. In this study, hierarchical linear models that account explicitly for the clustered structure of the data...

Author(s):

Vicente J. Monleon

Year:

2003

Keywords:

Source:

In: 2003 Joint Statistical Meetings - Section on Statistics & the Environment: 2865-2869

Equations for predicting uncompacted crown ratio based on compacted crown ratio and tree attributes.

Equations to predict uncompacted crown ratio as a function of compacted crown ratio, tree diameter, and tree height are developed for the main tree species in Oregon, Washington, and California using data from the Forest Health Monitoring Program, USDA Forest Service. The uncompacted crown ratio was modeled with a logistic function and fitted using weighted, nonlinear...

Author(s):

Vicente J. Monleon; David Azuma; Donald Gedney

Year:

2004

Keywords:

Crown fire risk, crown base height, cross-validation

Source:

Western Journal of Applied Forestry. 19(4): 260-267

High-resolution carbon mapping on the million-hectare Island of Hawaii

Current markets and international agreements for reducing emissions from deforestation and forest degradation (REDD) rely on carbon (C) monitoring techniques. Combining field measurements, airborne light detection and ranging (LiDAR)-based observations, and satellite-based imagery, we developed a 30-meter-resolution map of aboveground C density spanning 40 vegetation...

Author(s):

Gregory P. Asner; R. Flint Hughes; Joseph Mascaro; Amanda L. Uowolo; David E. Knapp; James Jacobson; Ty Kennedy-Bowdoin; John K . Clark

Year:

2011

Keywords:

Source:

Frontiers in Ecology and the Environment. 9(8): 434-439

Post-fire surface fuel dynamics in California forests across three burn severity classes

Forest wildfires consume fuel and are followed by post-fire fuel accumulation. This study examines post-fire surface fuel dynamics over 9 years across a wide range of conditions characteristic of California fires in dry conifer and hardwood forests. We estimated post-fire surface fuel loadings (Mg ha ^_1) from 191 repeatedly measured United States...

Author(s):

Bianca N. I. Eskelson; Vicente J. Monleon

Year:

2018

Keywords:

Fire severity, fuel, post-fire impacts.

Source:

International Journal of Wildland Fire. 27(2): 114-124.

Analysis of spatial correlation in predictive models of forest variables that use LiDAR auxiliary information

Accounting for spatial correlation of LiDAR model errors can improve the precision of model-based estimators. To estimate spatial correlation, sample designs that provide close observations are needed, but their implementation might be prohibitively expensive. To quantify the gains obtained by accounting for the spatial correlation of model errors, we examined (

Author(s):

F. Mauro; Vicente J. Monleon; H. Temesgen; L.A. Ruiz

Year:

2017

Keywords:

Spatial correlation, LiDAR, forest inventory, linear models, spatial models.

Source:

Canadian Journal of Forest Research. 47(6): 788-799.

The downed and dead wood inventory of forests in the United States

The quantity and condition of downed dead wood (DDW) is emerging as a major factor governing forest ecosystem processes such as carbon cycling, fire behavior, and tree regeneration. Despite this, systematic inventories of DDW are sparse if not absent across major forest biomes. The Forest Inventory and Analysis program of the United States (US) Forest Service has...

Author(s):

Christopher W. Woodall; Vicente J. Monleon; Shawn Fraver; Matthew B. Russell; Mark H. Hatfield; John L. Campbell; Grant M. Domke

Year:

2019

Keywords:

Source:

Scientific Data

What factors control dimerization of coniferyl alcohol?

Data suggest that the dimerization of coniferyl alcohol is not under thermodynamic control. In this study, molecular dynamics calculations were used to estimate the effect of the solvent environment. In water, the coniferyl alcohol radicals were forced to associate by the formation of a solvent cage. In glycerol, the solvent cage effect appeared to be absent. These...

Author(s):

Carl J. Houtman

Year:

1999

Keywords:

Alcohols, Solvents, Lignin, Biosynthesis, Coniferyl alcohol, Dimerization, Molecular dynamics

Source:

Holzforschung. Vol. 53, no. 6 (1999).:p. 585-589 : ill.

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Total Publications in Treesearch: 53,230

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A comparison of small-area estimation techniques to estimate selected stand attributes using LiDAR-derived auxiliary variables

On the estimation of spread rate for a biological population

An assessment of the impact of FIA's default assumptions on the estimates of coarse woody debris volume and biomass

Analysis of area level and unit level models for small area estimation in forest inventories assisted with LiDAR auxiliary information

Sampling strategies for efficient estimation of tree foliage biomass

Estimating aboveground carbon density across forest landscapes of Hawaii: Combining FIA plot-derived estimates and airborne LiDAR

Using small area estimation and Lidar-derived variables for multivariate prediction of forest attributes

Effects of height imputation strategies on stand volume estimation

Challenges to estimating tree height via LiDAR in closed-canopy forest: a parable from western Oregon

Estimating the quadratic mean diameters of fine woody debris in forests of the United States

Estimation of changes of forest structural attributes at three different spatial aggregation levels in Northern California using multitemporal LiDAR

Use of multi-temporal UAV-derived imagery for estimating individual tree growth in Pinus pinea stands

Minimizing bias in biomass allometry: Model selection and log transformation of data

A hierarchical linear model for tree height prediction.

Equations for predicting uncompacted crown ratio based on compacted crown ratio and tree attributes.

High-resolution carbon mapping on the million-hectare Island of Hawaii

Post-fire surface fuel dynamics in California forests across three burn severity classes

Analysis of spatial correlation in predictive models of forest variables that use LiDAR auxiliary information

The downed and dead wood inventory of forests in the United States

What factors control dimerization of coniferyl alcohol?

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