World's Best Scientists 2026 revealed!
Ben Somers

Ben Somers

D-Index & Metrics

Ecology and Evolution

D-Index
50
Citations
10493
World Ranking
3819
National Ranking
53

Overview

Ben Somers is affiliated with KU Leuven in Belgium and has an extensive publication record primarily in the field of Environmental Science. Their research spans several subfields including Global and Planetary Change, Ecology, Environmental Engineering, Health, Toxicology and Mutagenesis, and Plant Science.

The scientist's work covers a range of topics such as:

  • Remote Sensing in Agriculture
  • Land Use and Ecosystem Services
  • Urban Green Space and Health
  • Urban Heat Island Mitigation
  • Ecology and Vegetation Dynamics Studies
  • Species Distribution and Climate Change
  • Remote Sensing and LiDAR Applications

Ben Somers has contributed to multiple recent papers. These include:

  • SoilTemp: A global database of near-surface temperature, 2020, Global Change Biology
  • Global-scale characterization of turning points in arid and semi-arid ecosystem functioning, 2020, Global Ecology and Biogeography
  • Closing the Phenotyping Gap: High Resolution UAV Time Series for Soybean Growth Analysis Provides Objective Data from Field Trials, 2020, Remote Sensing
  • The impact of data quality filtering of opportunistic citizen science data on species distribution model performance, 2021, Ecological Modelling
  • Mapping Functional Urban Green Types Using High Resolution Remote Sensing Data, 2020, Sustainability

The scientist frequently publishes in several journals and venues, including:

  • Remote Sensing
  • Zenodo (CERN European Organization for Nuclear Research)
  • Landscape and Urban Planning
  • Global Change Biology
  • Urban forestry & urban greening

Ben Somers has collaborated often with other researchers. Some frequent co-authors are:

  • Paulo N. Bernardino
  • Raf Aerts
  • Jos Van Orshoven
  • Koenraad Van Meerbeek
  • Wanda De Keersmaecker

Best Publications

  • TRY plant trait database : Enhanced coverage and open access

    Jens Kattge;Gerhard Bönisch;Sandra Díaz;Sandra Lavorel

  • Endmember variability in Spectral Mixture Analysis: A review

    Ben Somers;Ben Somers;Gregory P. Asner;Laurent Tits;Pol Coppin

  • Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward

    Nathalie Pettorelli;Henrike Schulte to Bühne;Ayesha Tulloch;Grégoire Dubois

  • A generic EEG artifact removal algorithm based on the multi-channel Wiener filter.

    Ben Somers;Tom Francart;Alexander Bertrand

  • Nonlinear Hyperspectral Mixture Analysis for tree cover estimates in orchards

    Ben Somers;Kenneth Cools;Stephanie Delalieux;Jan Stuckens

  • The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing

    Jean Luc Widlowski;Corrado Mio;Mathias Disney;Jennifer Adams

  • A model quantifying global vegetation resistance and resilience to short‐term climate anomalies and their relationship with vegetation cover

    Wanda De Keersmaecker;Stef Lhermitte;Laurent Tits;Olivier Honnay

  • Automated Extraction of Image-Based Endmember Bundles for Improved Spectral Unmixing

    B. Somers;M. Zortea;A. Plaza;G. P. Asner

  • SoilTemp: A global database of near-surface temperature

    Jonas J. Lembrechts;Juha Aalto;Juha Aalto;Michael B. Ashcroft;Michael B. Ashcroft;Pieter De Frenne

  • Support vector regression and synthetically mixed training data for quantifying urban land cover

    Akpona Okujeni;Sebastian van der Linden;Laurent Tits;Ben Somers

  • Multi-temporal hyperspectral mixture analysis and feature selection for invasive species mapping in rainforests

    Ben Somers;Gregory P. Asner

  • MUSIC-CSR: Hyperspectral Unmixing via Multiple Signal Classification and Collaborative Sparse Regression

    Marian-Daniel Iordache;Jose M. Bioucas-Dias;Antonio Plaza;Ben Somers

  • Assessing Vegetation Function with Imaging Spectroscopy

    J A Gamon;J A Gamon;B Somers;Zbyněk Malenovský;Zbyněk Malenovský;E M Middleton

  • Assessing post-fire vegetation recovery using red-near infrared vegetation indices: Accounting for background and vegetation variability

    S. Veraverbeke;S. Veraverbeke;Ioannis Z. Gitas;Thomas Katagis;Anastasia Polychronaki

  • How to measure ecosystem stability? An evaluation of the reliability of stability metrics based on remote sensing time series across the major global ecosystems.

    Wanda De Keersmaecker;Stef Lhermitte;Stef Lhermitte;Olivier Honnay;Jamshid Farifteh

  • The impact of common assumptions on canopy radiative transfer simulations: A case study in Citrus orchards

    Jan Stuckens;Ben Somers;Stephanie Delalieux;Willem Verstraeten

  • A near-infrared narrow-waveband ratio to determine Leaf Area Index in orchards

    S. Delalieux;B. Somers;S. Hereijgers;W.W. Verstraeten

  • Heathland conservation status mapping through integration of hyperspectral mixture analysis and decision tree classifiers

    S. Delalieux;B. Somers;B. Haest;T. Spanhove

  • Hyperspectral indices to diagnose leaf biotic stress of apple plants, considering leaf phenology

    S. Delalieux;B. Somers;W. W. Verstraeten;J. A. N. van Aardt

  • Urban tree health assessment using airborne hyperspectral and LiDAR imagery

    Jeroen Degerickx;Dar A. Roberts;Joe P. McFadden;Martin Hermy

  • An automated waveband selection technique for optimized hyperspectral mixture analysis

    B. Somers;S. Delalieux;W. W. Verstraeten;J. A. N. van Aardt

Frequent Co-Authors

Pol Coppin
Pol Coppin KU Leuven
Raf Aerts
Raf Aerts KU Leuven
Jan Verbesselt
Jan Verbesselt Wageningen University & Research
Sebastian Schmidtlein
Sebastian Schmidtlein Karlsruhe Institute of Technology
Tim S. Nawrot
Tim S. Nawrot Hasselt University
Jonathan Lenoir
Jonathan Lenoir University of Picardie Jules Verne
Duccio Rocchini
Duccio Rocchini University of Bologna
Gregory P. Asner
Gregory P. Asner Arizona State University

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