D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 32 Citations 4,031 96 World Ranking 5617 National Ranking 2292

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Statistics
  • Ecosystem

His primary areas of investigation include Vegetation, Remote sensing, Lidar, Satellite imagery and Land cover. John Armston has researched Vegetation in several fields, including Biomass, Forest management, Hydrology, Backscatter and Digital elevation model. His study of Thematic Mapper is a part of Remote sensing.

His study focuses on the intersection of Lidar and fields such as Canopy with connections in the field of Leaf area index. His Satellite imagery research includes elements of Bank, Linear model, Linear regression and Generalized linear model. As a part of the same scientific family, John Armston mostly works in the field of Mean squared error, focusing on Tropics and, on occasion, Forest inventory.

His most cited work include:

  • An integrated pan‐tropical biomass map using multiple reference datasets (300 citations)
  • Nondestructive estimates of above‐ground biomass using terrestrial laser scanning (285 citations)
  • An Evaluation of the ALOS PALSAR L-Band Backscatter—Above Ground Biomass Relationship Queensland, Australia: Impacts of Surface Moisture Condition and Vegetation Structure (192 citations)

What are the main themes of his work throughout his whole career to date?

John Armston mainly focuses on Remote sensing, Lidar, Vegetation, Canopy and Biomass. The concepts of his Remote sensing study are interwoven with issues in Mean squared error and Leaf area index. His biological study spans a wide range of topics, including Global ecosystem and Calibration.

His work carried out in the field of Vegetation brings together such families of science as Land cover, Synthetic aperture radar, Hydrology, Bank and Woodland. In his study, Regression analysis is inextricably linked to Range, which falls within the broad field of Canopy. His Biomass research is multidisciplinary, incorporating elements of Ecosystem and Atmospheric sciences.

He most often published in these fields:

  • Remote sensing (78.46%)
  • Lidar (52.31%)
  • Vegetation (26.15%)

What were the highlights of his more recent work (between 2017-2021)?

  • Lidar (52.31%)
  • Remote sensing (78.46%)
  • Canopy (25.38%)

In recent papers he was focusing on the following fields of study:

John Armston mostly deals with Lidar, Remote sensing, Canopy, Biogeosciences and Aboveground biomass. He interconnects Range, Global ecosystem, Calibration and Vegetation in the investigation of issues within Lidar. His Calibration course of study focuses on Zenith and Leaf area index.

His Vegetation study also includes fields such as

  • Altimeter that intertwine with fields like Thematic Mapper, Woodland and Ecosystem model,
  • Elevation that intertwine with fields like Hydrology and Point cloud. His research in Remote sensing intersects with topics in Mean squared error, Forest structure and Interferometry. His Canopy research integrates issues from Biomass, Biodiversity, Forestry and Physical geography.

Between 2017 and 2021, his most popular works were:

  • The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography (82 citations)
  • The GEDI simulator: A large-footprint waveform lidar simulator for calibration and validation of spaceborne missions (51 citations)
  • The Importance of Consistent Global Forest Aboveground Biomass Product Validation (39 citations)

In his most recent research, the most cited papers focused on:

  • Ecology
  • Statistics
  • Ecosystem

The scientist’s investigation covers issues in Lidar, Remote sensing, Canopy, Biomass and Global ecosystem. The Lidar study combines topics in areas such as Aboveground biomass, Leaf area index, Environmental resource management and Laser scanning. His research in Remote sensing is mostly concerned with Remote sensing.

His Canopy research incorporates themes from Climate change mitigation, Forest ecology, Ecosystem, Scale and Renewable energy. His work in Biomass covers topics such as Physical geography which are related to areas like Vegetation type and Temperate forest. His Global ecosystem study incorporates themes from Estimator, Meteorology, Forest dynamics and Tree canopy.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

An integrated pan‐tropical biomass map using multiple reference datasets

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Global Change Biology (2016)

502 Citations

Nondestructive estimates of above‐ground biomass using terrestrial laser scanning

Kim Calders;Glenn Newnham;Andrew Burt;Simon Murphy.
Methods in Ecology and Evolution (2015)

374 Citations

An Evaluation of the ALOS PALSAR L-Band Backscatter—Above Ground Biomass Relationship Queensland, Australia: Impacts of Surface Moisture Condition and Vegetation Structure

Richard Lucas;John Armston;Russell Fairfax;Rod Fensham.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2010)

275 Citations

Prediction and validation of foliage projective cover from Landsat-5 TM and Landsat-7 ETM+ imagery.

John David Armston;Robert J. Denham;Tim J. Danaher;Peter F. Scarth.
Journal of Applied Remote Sensing (2009)

154 Citations

Terrestrial Laser Scanning for Plot-Scale Forest Measurement

Glenn J. Newnham;John D. Armston;Kim Calders;Kim Calders;Mathias I. Disney.
Current Forestry Reports , 1 (4) pp. 239-251. (2015) (2015)

153 Citations

Integration of LiDAR and QuickBird imagery for mapping riparian biophysical parameters and land cover types in Australian tropical savannas

Lara A. Arroyo;Kasper Johansen;John Armston;Stuart Phinn.
Forest Ecology and Management (2010)

124 Citations

Multi-resolution time series imagery for forest disturbance and regrowth monitoring in Queensland, Australia

Michael Schmidt;Richard Lucas;Peter Bunting;Jan Verbesselt.
Remote Sensing of Environment (2015)

111 Citations

Integration of radar and Landsat-derived foliage projected cover for woody regrowth mapping, Queensland, Australia

Richard M. Lucas;Natasha Cronin;Mahta Moghaddam;Alex Lee.
Remote Sensing of Environment (2006)

109 Citations

Direct retrieval of canopy gap probability using airborne waveform lidar

John Armston;M. Disney;Philip Lewis;Peter Scarth.
Remote Sensing of Environment (2013)

104 Citations

The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography

Ralph Dubayah;James Bryan Blair;Scott Goetz;Lola Fatoyinbo.
Science of Remote Sensing. 1: 100002. (2020)

104 Citations

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