David W. MacFarlane

David W. MacFarlane

Michigan State University

H-index: 24

North America-United States

About David W. MacFarlane

David W. MacFarlane, With an exceptional h-index of 24 and a recent h-index of 16 (since 2020), a distinguished researcher at Michigan State University, specializes in the field of forest measurment systems, functional ecology of trees.

His recent articles reflect a diverse array of research interests and contributions to the field:

Digital Tree Twins: Detailed Reconstruction from Point Clouds using a Skeletonization Approach

Correction: Accuracy differences in aboveground woody biomass estimation with terrestrial laser scanning for trees in urban and rural forests and different leaf conditions

Comparing mobile and terrestrial laser scanning for measuring and modelling tree stem taper

Climate-Smart Forestry: Promise and risks for forests, society, and climate

Accuracy differences in aboveground woody biomass estimation with terrestrial laser scanning for trees in urban and rural forests and different leaf conditions

The tropical biomass & carbon project–An application for forest biomass and carbon estimates

Testing a generalized leaf mass estimation method for diverse tree species and climates of the continental United States

A microwave tomography system using time-reversal imaging for forestry applications

David W. MacFarlane Information

University

Position

Professor of Forest Measurements and Modeling

Citations(all)

1563

Citations(since 2020)

682

Cited By

1103

hIndex(all)

24

hIndex(since 2020)

16

i10Index(all)

34

i10Index(since 2020)

23

Email

University Profile Page

Google Scholar

David W. MacFarlane Skills & Research Interests

forest measurment systems

functional ecology of trees

Top articles of David W. MacFarlane

Digital Tree Twins: Detailed Reconstruction from Point Clouds using a Skeletonization Approach

2024/3/7

Correction: Accuracy differences in aboveground woody biomass estimation with terrestrial laser scanning for trees in urban and rural forests and different leaf conditions

Trees

2024/2/24

Comparing mobile and terrestrial laser scanning for measuring and modelling tree stem taper

Forestry: An International Journal of Forest Research

2023/12

Climate-Smart Forestry: Promise and risks for forests, society, and climate

2023/6/7

Accuracy differences in aboveground woody biomass estimation with terrestrial laser scanning for trees in urban and rural forests and different leaf conditions

Trees

2023/6

The tropical biomass & carbon project–An application for forest biomass and carbon estimates

Ecological Modelling

2022/10/1

Testing a generalized leaf mass estimation method for diverse tree species and climates of the continental United States

Ecological Applications

2022/10

A microwave tomography system using time-reversal imaging for forestry applications

IEEE Journal of Microwaves

2022/8/30

Over half of western United States' most abundant tree species in decline

Nature Communications

2021/1/19

The carbon sequestration potential of ‘analog’forestry in Ecuador: an alternative strategy for reforestation of degraded pastures

Forestry: An International Journal of Forest Research

2021/1

Recent, broad-scale changes in forest composition and structure in the Western United States

AGU Fall Meeting Abstracts

2021/12

Exploring the effect of leaves on tree woody surface area estimation with quantitative structural models

2021/12/1

Woody surface area measurements with terrestrial laser scanning relate to the anatomical and structural complexity of urban trees

Remote Sensing

2021/8/9

Measuring the contribution of leaves to the structural complexity of urban tree crowns with terrestrial laser scanning

Remote Sensing

2021/7/14

Fractal dimension of tree crowns explains species functional‐trait responses to urban environments at different scales

Ecological Applications

2021/6

Crown Fractal Geometry Adapts Trees to City Life

The Bulletin of the Ecological Society of America

2021/4/1

Functional relationships between branch and stem wood density for temperate tree species in North America

Frontiers in Forests and Global Change

2020/6/5

See List of Professors in David W. MacFarlane University(Michigan State University)