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Environmental Sciences

D-Index
50
Citations
12382
World Ranking
4887
National Ranking
1800

Overview

John Armston is affiliated with the University of Maryland, College Park in the United States. Their research primarily focuses on Environmental Science, with significant contributions to subfields including Environmental Engineering, Ecology, Nature and Landscape Conservation, Global and Planetary Change, and Atmospheric Science.

The researcher's work extensively covers topics related to Remote Sensing and LiDAR Applications, Forest Ecology and Management, Remote Sensing in Agriculture, Plant Water Relations and Carbon Dynamics, Forest Management and Policy, Synthetic Aperture Radar (SAR) Applications and Techniques, and Fire Effects on Ecosystems.

Recent publications authored or co-authored by John Armston include:

  • Mapping global forest canopy height through integration of GEDI and Landsat data, 2020, Remote Sensing of Environment
  • The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth's forests and topography, 2020, Science of Remote Sensing
  • Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine, 2020, Remote Sensing of Environment
  • Terrestrial laser scanning in forest ecology: Expanding the horizon, 2020, Remote Sensing of Environment
  • Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission, 2022, Remote Sensing of Environment

John Armston frequently collaborates with several researchers in related fields. Notable co-authors include:

  • Ralph Dubayah
  • Laura Duncanson
  • Temilola Fatoyinbo
  • Hao Tang
  • Kim Calders

The researcher has a consistent publication record in the following journals and venues:

  • Remote Sensing of Environment
  • Zenodo (CERN European Organization for Nuclear Research)
  • Science of Remote Sensing
  • SSRN Electronic Journal
  • Environmental Research Letters

In addition to journal articles, John Armston has contributed to book publications, including a work published by Ghent University titled Aboveground Woody Biomass Product Validation Good Practices Protocol in 2021.

Best Publications

  • Mapping global forest canopy height through integration of GEDI and Landsat data

    Peter Potapov;Xinyuan Li;Andres Hernandez-Serna;Alexandra Tyukavina

  • 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

  • An integrated pan‐tropical biomass map using multiple reference datasets

    Valerio Avitabile;Martin Herold;Gerard B.M. Heuvelink;Simon L. Lewis;Simon L. Lewis

  • Nondestructive estimates of above‐ground biomass using terrestrial laser scanning

    Kim Calders;Glenn Newnham;Andrew Burt;Simon Murphy

  • Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

    Unknown

  • Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine

    Ben DeVries;Ben DeVries;Chengquan Huang;John Armston;Wenli Huang;Wenli Huang

  • Terrestrial laser scanning in forest ecology: Expanding the horizon

    Kim Calders;Jennifer Adams;John Armston;Harm Bartholomeus

  • 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

  • The GEDI simulator: A large-footprint waveform lidar simulator for calibration and validation of spaceborne missions

    Steven Hancock;John Armston;Michelle Hofton;Xiaoli Sun

  • Terrestrial Laser Scanning for Plot-Scale Forest Measurement

    Glenn J. Newnham;John D. Armston;Kim Calders;Kim Calders;Mathias I. Disney

  • GEDI launches a new era of biomass inference from space

    Unknown

  • Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California

    Laura Duncanson;Laura Duncanson;Amy Neuenschwander;Steven Hancock;Steven Hancock;Nathan Thomas;Nathan Thomas

  • Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles

    Nico Lang;Nikolai Kalischek;John Armston;Konrad Schindler

  • Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping

    Carlos Alberto Silva;Carlos Alberto Silva;Laura Duncanson;Steven Hancock;Amy Neuenschwander

  • The Importance of Consistent Global Forest Aboveground Biomass Product Validation

    L. Duncanson;J. Armston;M. Disney;V. Avitabile

  • New Opportunities for Forest Remote Sensing Through Ultra-High-Density Drone Lidar

    James R. Kellner;John Armston;Markus Birrer;K. C. Cushman

  • 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

  • Direct retrieval of canopy gap probability using airborne waveform lidar

    John Armston;M. Disney;Philip Lewis;Peter Scarth

  • Ground Data are Essential for Biomass Remote Sensing Missions

    Jérôme Chave;Stuart J. Davies;Oliver L. Phillips;Simon L. Lewis;Simon L. Lewis

  • Characterizing global forest canopy cover distribution using spaceborne lidar

    Hao Tang;John Armston;Steven Hancock;Suzanne Marselis

  • 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

  • Implications of sensor configuration and topography on vertical plant profiles derived from terrestrial LiDAR

    Kim Calders;John Armston;Glenn Newnham;Martin Herold

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

    Michael Schmidt;Richard Lucas;Peter Bunting;Jan Verbesselt

Frequent Co-Authors

Ralph Dubayah
Ralph Dubayah University of Maryland, College Park
Mathias Disney
Mathias Disney University College London
Kim Calders
Kim Calders Ghent University
Richard Lucas
Richard Lucas Aberystwyth University
Stuart R. Phinn
Stuart R. Phinn University of Queensland
James R. Kellner
James R. Kellner Brown University
Michelle Hofton
Michelle Hofton University of Maryland, College Park
Martin Herold
Martin Herold Wageningen University & Research
Glenn Newnham
Glenn Newnham Commonwealth Scientific and Industrial Research Organisation
Simon L. Lewis
Simon L. Lewis University College London

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