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D-Index & Metrics

Environmental Sciences

D-Index
46
Citations
8259
World Ranking
6073
National Ranking
262

Overview

Chris Hopkinson is affiliated with the University of Lethbridge in Canada and has contributed extensively to the field of Environmental Science. Their research encompasses various subfields including Global and Planetary Change, Environmental Engineering, Ecology, Atmospheric Science, and Nature and Landscape Conservation.

The scientist has focused on several main topics within their work, such as Remote Sensing and LiDAR Applications, Fire effects on ecosystems, Forest ecology and management, Peatlands and Wetlands Ecology, Hydrology and Watershed Management Studies, Cryospheric studies and observations, and Remote Sensing in Agriculture.

Hopkinson's published papers cover a range of relevant environmental and remote sensing themes. Notable recent works include:

  • Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission, 2022, Remote Sensing of Environment
  • See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • Remote Sensing of Boreal Wetlands 2: Methods for Evaluating Boreal Wetland Ecosystem State and Drivers of Change, 2020, Remote Sensing
  • Evaluating the potential of full-waveform lidar for mapping pan-tropical tree species richness, 2020, Global Ecology and Biogeography
  • Remote Sensing of Boreal Wetlands 1: Data Use for Policy and Management, 2020, Remote Sensing

Frequent co-authors in Hopkinson's publications include L. Chasmer, Zhouxin Xi, Craig Mahoney, Brian Brisco, and Danielle Cobbaert.

Their work has appeared primarily in journals dedicated to remote sensing and environmental science with frequent publications in:

  • Remote Sensing
  • Canadian Journal of Remote Sensing
  • Hydrological Processes
  • Forests
  • Remote Sensing of Environment

Best Publications

  • Twenty-three unsolved problems in hydrology (UPH)–a community perspective

    Günter Blöschl;Marc F.P. Bierkens;Antonio Chambel;Christophe Cudennec

  • Assessing forest metrics with a ground-based scanning lidar

    Chris Hopkinson;Laura Chasmer;Colin Young-Pow;Paul Treitz

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

    Unknown

  • Testing LiDAR models of fractional cover across multiple forest ecozones

    Chris Hopkinson;Laura Chasmer

  • The influence of flying altitude, beam divergence, and pulse repetition frequency on laser pulse return intensity and canopy frequency distribution

    Chris Hopkinson

  • Vegetation class dependent errors in lidar ground elevation and canopy height estimates in a boreal wetland environment

    Chris Hopkinson;Laura E Chasmer;Gabor Sass;Irena F Creed

  • Canadian Wetland Inventory using Google Earth Engine: The First Map and Preliminary Results

    Meisam Amani;Sahel Mahdavi;Majid Afshar;Brian Brisco

  • Investigating laser pulse penetration through a conifer canopy by integrating airborne and terrestrial lidar

    Laura Chasmer;Chris Hopkinson;Paul Treitz

  • Statistical modelling of the snow depth distribution in open alpine terrain

    T. Grünewald;J. Stötter;J. W. Pomeroy;R. Dadic;R. Dadic

  • The uncertainty in conifer plantation growth prediction from multi-temporal lidar datasets

    Chris Hopkinson;Laura Chasmer;R.J. Hall

  • Identifying the genus or species of individual trees using a three-wavelength airborne lidar system

    Brindusa Cristina Budei;Benoît St-Onge;Chris Hopkinson;Félix-Antoine Audet

  • Remote sensing of photosynthetic light-use efficiency across two forested biomes: Spatial scaling

    Thomas Hilker;Forrest G. Hall;Forrest G. Hall;Nicholas C. Coops;Alexei Lyapustin;Alexei Lyapustin

  • Lidar plots — a new large-area data collection option: context, concepts, and case study

    Michael A. Wulder;Joanne C. White;Christopher W. Bater;Nicholas C. Coops

  • Mapping Snowpack Depth Beneath Forest Canopies Using Airborne Lidar

    Chris Hopkinson;Mike Sitar;Laura Chasmer;Paul Treitz

  • See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning

    Zhouxin Xi;Chris Hopkinson;Stewart B. Rood;Derek R. Peddle

  • A decision-tree classification for low-lying complex land cover types within the zone of discontinuous permafrost

    L. Chasmer;L. Chasmer;C. Hopkinson;T. Veness;W. Quinton

  • Vegetation height and cover fraction between 60° S and 60° N from ICESat GLAS data

    S. O. Los;J. A. B. Rosette;J. A. B. Rosette;N. Kljun;P. R. J. North

  • Towards a universal lidar canopy height indicator

    Chris Hopkinson;Laura Chasmer;Kevin Lim;Paul Treitz

  • Integrating terrestrial and airborne lidar to calibrate a 3D canopy model of effective leaf area index

    Chris Hopkinson;Chris Hopkinson;Jenny Lovell;Laura Chasmer;David Jupp

  • Examining the Influence of Changing Laser Pulse Repetition Frequencies on Conifer Forest Canopy Returns

    Laura Chasmer;Chris Hopkinson;Brent Smith;Paul Treitz

  • The effect of glacier wastage on the flow of the Bow River at Banff, Alberta, 1951–1993

    Chris Hopkinson;Gordon J. Young

Frequent Co-Authors

Laura Chasmer
Laura Chasmer University of Lethbridge
Natascha Kljun
Natascha Kljun Lund University
Paul Treitz
Paul Treitz Queen's University
Brian Brisco
Brian Brisco Natural Resources Canada
Kevin J. Devito
Kevin J. Devito University of Alberta
Stewart B. Rood
Stewart B. Rood University of Lethbridge
Rob Jamieson
Rob Jamieson Dalhousie University
William L. Quinton
William L. Quinton Wilfrid Laurier University
Ross A. Hill
Ross A. Hill Bournemouth University
Alan G. Barr
Alan G. Barr University of Saskatchewan

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