4.7 Article

Estimation of Plot-Level Burn Severity Using Terrestrial Laser Scanning

Related references

Note: Only part of the references are listed.
Article Forestry

Detecting the effects of logging and wildfire on forest fuel structure using terrestrial laser scanning (TLS)

Nicholas Wilson et al.

Summary: Recent logging and wildfires have been associated with increased fire severity in forests globally. The vertical fuel connectivity, especially in disturbed forests, is often cited as a possible cause for this. The study found that canopy recovery after wildfire differs in resprouting and non-resprouting Eucalypt forests, with implications for fire severity.

FOREST ECOLOGY AND MANAGEMENT (2021)

Article Multidisciplinary Sciences

A simplified and affordable approach to forest monitoring using single terrestrial laser scans and transect sampling

Scott Pokswinski et al.

Summary: Integrating Terrestrial Laser Scanning (TLS) methods into forest monitoring strategies can standardize data collection, improve efficiency, and easily adapt to new environmental measurements. This new method simplifies extraction of forestry, fuels, and ecological vegetation variables from a single TLS point cloud, streamlines data collection process, and produces data suitable for models and decision support frameworks.

METHODSX (2021)

Article Agriculture, Multidisciplinary

Improving nitrogen assessment with an RGB camera across uncertain natural light from above-canopy measurements

Bayu Taruna Widjaja Putra et al.

PRECISION AGRICULTURE (2020)

Article Environmental Sciences

Exploring the Potential of C-Band SAR in Contributing to Burn Severity Mapping in Tropical Savanna

Marius B. Philipp et al.

REMOTE SENSING (2020)

Review Plant Sciences

Fire as a fundamental ecological process: Research advances and frontiers

Kendra K. McLauchlan et al.

JOURNAL OF ECOLOGY (2020)

Article Ecology

Prescribed fire science: the case for a refined research agenda

J. Kevin Hiers et al.

FIRE ECOLOGY (2020)

Article Biochemical Research Methods

Conditional permutation importance revisited

Dries Debeer et al.

BMC BIOINFORMATICS (2020)

Article Multidisciplinary Sciences

New 3D measurements of large redwood trees for biomass and structure

Mathias Disney et al.

SCIENTIFIC REPORTS (2020)

Review Environmental Sciences

lidR: An R package for analysis of Airborne Laser Scanning (ALS) data

Jean-Romain Roussel et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Article Remote Sensing

An Improved Approach for Selecting and Validating Burn Severity Indices in Forested Landscapes

Michael R. Gallagher et al.

CANADIAN JOURNAL OF REMOTE SENSING (2020)

Review Remote Sensing

Implementation of machine-learning classification in remote sensing: an applied review

Aaron E. Maxwell et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2018)

Article Environmental Sciences

Data acquisition considerations for Terrestrial Laser Scanning of forest plots

Phil Wilkes et al.

REMOTE SENSING OF ENVIRONMENT (2017)

Article Agriculture, Multidisciplinary

Performance of stem denoising and stem modelling algorithms on single tree point clouds from terrestrial laser scanning

Tiago de Conto et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2017)

Article Environmental Sciences

An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation

Wuming Zhang et al.

REMOTE SENSING (2016)

Review Computer Science, Artificial Intelligence

Learning from imbalanced data: open challenges and future directions

Bartosz Krawczyk

PROGRESS IN ARTIFICIAL INTELLIGENCE (2016)

Article Environmental Sciences

The America View classification methods accuracy comparison project: A rigorous approach for model selection

Rick L. Lawrence et al.

REMOTE SENSING OF ENVIRONMENT (2015)

Article Environmental Sciences

Estimating aboveground biomass and leaf area of low-stature Arctic shrubs with terrestrial LiDAR

Heather E. Greaves et al.

REMOTE SENSING OF ENVIRONMENT (2015)

Article Ecology

Nondestructive estimates of above-ground biomass using terrestrial laser scanning

Kim Calders et al.

METHODS IN ECOLOGY AND EVOLUTION (2015)

Article Plant Sciences

THE EVOLUTION OF THE NEW JERSEY PINE PLAINS

F. Thomas Ledig et al.

AMERICAN JOURNAL OF BOTANY (2013)

Article Remote Sensing

A visible band index for remote sensing leaf chlorophyll content at the canopy scale

E. Raymond Hunt et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2013)

Article Agronomy

The Assessment of Leaf Nitrogen in Corn from Digital Images

Robert L. Rorie et al.

CROP SCIENCE (2011)

Review Geography, Physical

Support vector machines in remote sensing: A review

Giorgos Mountrakis et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2011)

Article Geography, Physical

Characterizing Forest Succession in Central Ontario using Lidar-derived Indices

Karin Y. van Ewijk et al.

PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2011)

Article Environmental Sciences

Three-dimensional canopy fuel loading predicted using upward and downward sensing LiDAR systems

Nicholas S. Skowronski et al.

REMOTE SENSING OF ENVIRONMENT (2011)

Article Biochemical Research Methods

The behaviour of random forest permutation-based variable importance measures under predictor correlation

Kristin K. Nicodemus et al.

BMC BIOINFORMATICS (2010)

Article Computer Science, Interdisciplinary Applications

Feature Selection with the Boruta Package

Miron B. Kursa et al.

JOURNAL OF STATISTICAL SOFTWARE (2010)

Review Computer Science, Artificial Intelligence

Learning from Imbalanced Data

Haibo He et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2009)

Review Forestry

Fire intensity, fire severity and burn severity: a brief review and suggested usage

Jon E. Keeley

INTERNATIONAL JOURNAL OF WILDLAND FIRE (2009)

Article Biochemical Research Methods

Conditional variable importance for random forests

Carolin Strobl et al.

BMC BIOINFORMATICS (2008)

Article Ecology

Random forests for classification in ecology

D. Richard Cutler et al.

ECOLOGY (2007)

Article Biochemical Research Methods

Bias in random forest variable importance measures: Illustrations, sources and a solution

Carolin Strobl et al.

BMC BIOINFORMATICS (2007)

Article Geochemistry & Geophysics

Forest canopy gap fraction from terrestrial laser scanning

F. Mark Danson et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2007)

Review Ecology

Fire as a global 'herbivore': the ecology and evolution of flammable ecosystems

WJ Bond et al.

TRENDS IN ECOLOGY & EVOLUTION (2005)

Article Forestry

Wildland fire hazard and risk: Problems, definitions, and context

CC Hardy

FOREST ECOLOGY AND MANAGEMENT (2005)

Article Remote Sensing

Support vector machines for classification in remote sensing

M Pal et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2005)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

Article Forestry

Spatial data for national fire planning and fuel management

CC Hardy et al.

INTERNATIONAL JOURNAL OF WILDLAND FIRE (2001)