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Ecology and Evolution

D-Index
48
Citations
9146
World Ranking
4215
National Ranking
57

Overview

Kim Calders is a researcher affiliated with Ghent University in Belgium specializing in Environmental Science with a focus on Environmental Engineering, Nature and Landscape Conservation, Global and Planetary Change, Ecology, and Insect Science. Their academic contributions span a broad range of subfields and topics related to forest ecology, remote sensing, and environmental dynamics.

Their research topics include:

  • Remote Sensing and LiDAR Applications
  • Forest ecology and management
  • Remote Sensing in Agriculture
  • Forest Ecology and Biodiversity Studies
  • Plant Water Relations and Carbon Dynamics
  • Ecology and Vegetation Dynamics Studies
  • Species Distribution and Climate Change

Kim Calders has published extensively, with notable recent papers including:

  • The drivers and impacts of Amazon forest degradation (2023) in Science
  • Terrestrial laser scanning in forest ecology: Expanding the horizon (2020) in Remote Sensing of Environment
  • High aboveground carbon stock of African tropical montane forests (2021) in Nature
  • Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning (2022) in Remote Sensing of Environment
  • Estimating forest above-ground biomass with terrestrial laser scanning: Current status and future directions (2022) in Methods in Ecology and Evolution

Frequent co-authors in their work include Hans Verbeeck, Mathias Disney, Louise Terryn, Phil Wilkes, and Niall Origo. These collaborations reflect a multidisciplinary approach to studies on forest ecosystems and remote sensing methodologies.

The primary publication venues where Kim Calders' work appears most frequently are:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Remote Sensing of Environment
  • Methods in Ecology and Evolution
  • SSRN Electronic Journal
  • Forest Ecology and Management

In addition to journal articles, Calders has published a book titled Aboveground Woody Biomass Product Validation Good Practices Protocol (2021), released through Ghent University and cited in the context of biomass validation standards.

Best Publications

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

    Kim Calders;Glenn Newnham;Andrew Burt;Simon Murphy

  • The drivers and impacts of Amazon forest degradation

    Unknown

  • Terrestrial laser scanning in forest ecology: Expanding the horizon

    Kim Calders;Jennifer Adams;John Armston;Harm Bartholomeus

  • Data acquisition considerations for Terrestrial Laser Scanning of forest plots

    Phil Wilkes;Alvaro Lau;Mathias Disney;Kim Calders;Kim Calders

  • Forest Inventory with Terrestrial LiDAR: A Comparison of Static and Hand-Held Mobile Laser Scanning

    Sébastien Bauwens;Harm Bartholomeus;Kim Calders;Philippe Lejeune

  • SimpleTree —An Efficient Open Source Tool to Build Tree Models from TLS Clouds

    Jan Hackenberg;Heinrich Spiecker;Kim Calders;Mathias Disney

  • Terrestrial Laser Scanning for Plot-Scale Forest Measurement

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

  • Estimation of above-ground biomass of large tropical trees with Terrestrial LiDAR

    Jose Gonzalez de Tanago;Jose Gonzalez de Tanago;Alvaro Lau;Alvaro Lau;Harm Bartholomeus;Martin Herold

  • Extracting individual trees from lidar point clouds using treeseg

    Andrew Burt;Mathias Disney;Mathias Disney;Kim Calders

  • Non-destructive tree volume estimation through quantitative structure modelling: Comparing UAV laser scanning with terrestrial LIDAR

    Benjamin Brede;Kim Calders;Alvaro Lau;Pasi Raumonen

  • Weighing trees with lasers: advances, challenges and opportunities.

    M. I. Disney;M. Boni Vicari;A. Burt;K. Calders

  • The Importance of Consistent Global Forest Aboveground Biomass Product Validation

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

  • Leaf and wood classification framework for terrestrial LiDAR point clouds

    Matheus B. Vicari;Mathias Disney;Mathias Disney;Phil Wilkes;Phil Wilkes;Andrew Burt

  • Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning

    Unknown

  • Realistic Forest Stand Reconstruction from Terrestrial LiDAR for Radiative Transfer Modelling

    Kim Calders;Niall Origo;Andrew Burt;Mathias Disney

  • Massive-Scale Tree Modelling from Tls Data

    P. Raumonen;E. Casella;K. Calders;S. Murphy

  • Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests

    Unknown

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

    Kim Calders;John Armston;Glenn Newnham;Martin Herold

  • Improved Supervised Learning-Based Approach for Leaf and Wood Classification From LiDAR Point Clouds of Forests

    Sruthi M. Krishna Moorthy;Kim Calders;Matheus B. Vicari;Hans Verbeeck

  • Estimating forest above‐ground biomass with terrestrial laser scanning: Current status and future directions

    Unknown

  • High aboveground carbon stock of African tropical montane forests

    Aida Cuni-Sanchez;Aida Cuni-Sanchez;Martin J.P. Sullivan;Martin J.P. Sullivan;Philip J. Platts;Philip J. Platts;Simon L. Lewis;Simon L. Lewis

  • New perspectives on the ecology of tree structure and tree communities through terrestrial laser scanning.

    Yadvinder Malhi;Tobias Jackson;Lisa Patrick Bentley;Lisa Patrick Bentley;Alvaro Lau;Alvaro Lau

  • Monitoring spring phenology with high temporal resolution terrestrial LiDAR measurements

    Kim Calders;Tom Schenkels;Harm Bartholomeus;John Armston Armston

  • Evaluation of the Range Accuracy and the Radiometric Calibration of Multiple Terrestrial Laser Scanning Instruments for Data Interoperability

    Kim Calders;Mathias I. Disney;John Armston;Andrew Burt

  • Influence of tree crown characteristics on the local PM10 distribution inside an urban street canyon in Antwerp (Belgium) : a model and experimental approach

    Jelle Hofman;Harm Bartholomeus;Stijn Janssen;Kim Calders;Kim Calders

Frequent Co-Authors

Mathias Disney
Mathias Disney University College London
Martin Herold
Martin Herold Wageningen University & Research
Harm Bartholomeus
Harm Bartholomeus Wageningen University & Research
Hans Verbeeck
Hans Verbeeck Ghent University
John Armston
John Armston University of Maryland, College Park
Simon L. Lewis
Simon L. Lewis University College London
Glenn Newnham
Glenn Newnham Commonwealth Scientific and Industrial Research Organisation
Yadvinder Malhi
Yadvinder Malhi University of Oxford
Philip Lewis
Philip Lewis University College London
Kris Verheyen
Kris Verheyen Ghent University

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