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Automated estimation of individual conifer tree height and crown diameter via Two-dimensional spatial wavelet analysis of lidar data

We describe and evaluate a new analysis technique, spatial wavelet analysis (SWA), to automatically estimate the location, height, and crown diameter of individual trees within mixed conifer open canopy stands from light detection and ranging (lidar) data. Two-dimensional Mexican hat wavelets, over a range of likely tree crown diameters, were convolved with lidar...

https://www.fs.usda.gov/treesearch/search?keywords=%22estimation%22&%3Bamp%3Bf%5B0%5D=author_facet%3A%22Miller%2C%20Ina%20Sue%22&%3Bpage=4&f%5B0%5D=author_facet%3A%22Pierson%2C%20Derek%22&f%5B1%5D=author_facet%3A%22Bytnerowicz%2C%20Andrzej%22&f%5B2%5D=author_facet%3A%22Matthews%2C%20Stephen%22&f%5B3%5D=author_facet%3A%22Moran%2C%20Matt%22&f%5B4%5D=author_facet%3A%22Frank%2C%20John%22&f%5B5%5D=author_facet%3A%22Hudak%2C%20Andrew%22&f%5B6%5D=author_facet%3A%22Fenn%2C%20Mark%22

Author(s):

Michael J. Falkowski; Alistair M.S. Smith; Andrew T. Hudak; Paul E. Gessler; Lee A. Vierling; Nicholas L. Crookston

Year:

2006

Keywords:

conifer tree height, crown diameter, Two-dimensional spatial wavelet analysis, lidar data, spatial wavelet analysis, SWA, Two-dimensional Mexican hat wavelets, variable window filters, VWF

Source:

Canadian Journal of Remote Sensing. 32(2): 153-161.

Forest ecosystem respiration estimated from eddy covariance and chamber measurements under high turbulence and substantial tree mortality from bark beetles

Eddy covariance nighttime fluxes are uncertain due to potential measurement biases. Many studies report eddy covariance nighttime flux lower than flux from extrapolated chamber measurements, despite corrections for low turbulence. We compared eddy covariance and chamber estimates of ecosystem respiration at the GLEES Ameriflux site over seven growing seasons under high...

Author(s):

Heather N. Speckman; John M. Frank; John B. Bradford; Brianna L. Miles; William J. Massman; William J. Parton; Michael G. Ryan

Year:

2015

Keywords:

bark beetles, chambers, disturbance, EC, ecosystem respiration, respiration modeling, soil efflux, turbulence, u* filtering

Source:

Global Change Biology. 2: 708-721.

A simple tool for estimating throughfall nitrogen deposition in forests of western North America using lichens

Anthropogenic nitrogen (N) deposition has had substantial impacts on forests of North America. Managers seek to monitor deposition to identify areas of concern and establish critical loads, which define the amount of deposition that can be tolerated by ecosystems without causing substantial harm. We present a new monitoring approach that estimates throughfall inorganic...

Author(s):

Heather T. Root; Linda H. Geiser; Mark E. Fenn; Sarah Jovan; Martin A. Hutten; Suraj Ahuja; Karen Dillman; David Schirokauer; Shanti Berryman; Jill A. McMurray

Year:

2013

Keywords:

Air quality, Critical loads, Lichens, Nitrogen deposition, Throughfall

Source:

A simple tool for estimating throughfall nitrogen deposition in forests of western North America using lichens. Forest Ecology and Management. 306: 1-8

An empirical inferential method of estimating nitrogen deposition to Mediterranean-type ecosystems: the San Bernardino Mountains case study

The empirical inferential method (EIM) allows for spatially and temporally-dense estimates of atmospheric nitrogen (N) deposition to Mediterranean ecosystems. This method, set within a GIS platform, is based on ambient concentrations of NH₃, NO, NO₂ and HNO₃; surface conductance of NH₄

Author(s):

A. Bytnerowicz; R.F. Johnson; L. Zhang; G.D. Jenerette; M.E. Fenn; S.L. Schilling; I. Gonzalez-Fernandez

Year:

2015

Keywords:

Source:

Environmental Pollution. 203: 69-88

Joining empirical and modelling approaches to estimate dry deposition of nitrogen in Mediterranean forests

In Mediterranean areas, dry deposition is a major component of the total atmospheric N input to natural habitats, particularly to forest ecosystems. An innovative approach, combining the empirical inferential method (EIM) for surface deposition of NO₃^- and NH₄⁺ with stomatal...

Author(s):

Héctor García-Gómez; Sheila Izquieta-Rojano; Laura Aguillaume; Ignacio González-Fernández; Fernando Valiño; David Elustondo; Jesús M. Santamaría; Anna Àvila; Andrzej Bytnerowicz; Victoria Bermejo; Rocío Alonso

Year:

2018

Keywords:

Stomatal conductance model, Inferential method, Spain, Broadleaf evergreen, Quercus ilex

Source:

Environmental Pollution. 243: 427-436

Use of ordinary kriging and Gaussian conditional simulation to interpolate airborne fire radiative energy density estimates [Corrigendum]

Fire radiative energy density (FRED, J m-2) integrated from fire radiative power density (FRPD, W m-2) observations of landscape-level fires can present an undersampling problem when collected from fixed-wing aircraft. In the present study, the aircraft made multiple passes over the fire at ~3 min intervals, thus failing to observe most of the FRPD emitted as the flame...

Author(s):

C. Klauberg; A. T. Hudak; B. C. Bright; L. Boschetti; M. B. Dickinson; R. L. Kremens; C. A. Silva

Year:

2018

Keywords:

fire behavior, fire modeling, fire modeling, fire radiative energy, remote sensing, RxCADRE

Source:

International Journal of Wildland Fire. 27: 228-240.

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.

Development of height-volume relationships in second growth Abies grandis for use with aerial LiDAR

Following typical forest inventory protocols, individual tree volume estimates are generally derived via diameter-at-breast-height (DBH)-based allometry. Although effective, measurement of DBH is time consuming and potentially a costly element in forest inventories. The capacity of airborne light detection and ranging (LiDAR) to provide individual tree-level...

Author(s):

Wade T. Tinkham; Alistair M. S. Smith; David L. R. Affleck; Jarred D. Saralecos; Michael J. Falkowski; Chad M. Hoffman; Andrew T. Hudak; Michael A. Wulder

Year:

2016

Keywords:

forest inventory, diameter-at-breast-height (DBH), light detection and ranging (LiDAR), grand fir, Abies grandis

Source:

Canadian Journal of Remote Sensing. 42(5): 400-410.

Estimating combustion of large downed woody debris from residual white ash

The production of residual white ash patches within wildfires represents near-complete combustion of the available fuel and releases a considerable quantity of gases to the atmosphere. These patches are generally produced from combustion of large downed woody debris (LDWD) such as fallen trees and snags. However, LDWD are generally ignored in calculations of fuel...

Author(s):

Alistair M. S. Smith; Andrew T. Hudak

Year:

2005

Keywords:

burned area, carbon, emission estimates, loss on ignition, remote sensing, savanna

Source:

International Journal of