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Andrew K. Skidmore

Andrew K. Skidmore

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Ecology and Evolution
Netherlands
2026
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Environmental Sciences
Netherlands
2023

D-Index & Metrics

Ecology and Evolution

D-Index
111
Citations
52575
World Ranking
166
National Ranking
7

Research.com Recognitions

  • 2026 - Research.com Ecology and Evolution in Netherlands Leader Award
  • 2025 - Research.com Ecology and Evolution in Netherlands Leader Award
  • 2023 - Research.com Environmental Sciences in Netherlands Leader Award
  • 2022 - Research.com Environmental Sciences in Netherlands Leader Award

Overview

Andrew K. Skidmore is affiliated with the University of Twente in the Netherlands. Their research spans several areas within environmental science, with a particular focus on ecology and related subfields.

The main fields of study for Andrew K. Skidmore include:

  • Environmental Science

Their work covers several subfields within this domain, including:

  • Ecology
  • Ecological Modeling
  • Environmental Engineering
  • Global and Planetary Change
  • Plant Science

Main topics of research include:

  • Species Distribution and Climate Change
  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Wildlife Ecology and Conservation
  • Land Use and Ecosystem Services
  • Forest Ecology and Biodiversity Studies
  • Ecology and Vegetation Dynamics Studies

Andrew K. Skidmore has frequently published in these venues:

  • Remote Sensing
  • Nature Ecology & Evolution
  • International Journal of Applied Earth Observation and Geoinformation
  • Ecological Indicators
  • SSRN Electronic Journal

Recent papers by or involving Andrew K. Skidmore include:

  • Priority list of biodiversity metrics to observe from space, 2021, Nature Ecology & Evolution
  • Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity-Part II: Geomorphology, Terrain and Surfaces, 2020, Remote Sensing

Other relevant recent publications related to their fields of study include:

  • A global biodiversity observing system to unite monitoring and guide action, 2023, Nature Ecology & Evolution
  • Thermal infrared remote sensing of vegetation: Current status and perspectives, 2021, International Journal of Applied Earth Observation and Geoinformation
  • Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape, 2023, Nature Communications

Andrew K. Skidmore has collaborated frequently with several researchers across their work, including:

  • Tiejun Wang
  • Marco Heurich
  • Roshanak Darvishzadeh
  • Andjin Siegenthaler
  • Haidi Abdullah

Best Publications

  • Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

    Carsten F. Dormann;Jane Elith;Sven Bacher;Carsten Buchmann

  • Where is positional uncertainty a problem for species distribution modelling

    Babak Naimi;Nicholas A. S. Hamm;Thomas A. Groen;Andrew K. Skidmore

  • Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI

    Pieter S.A. Beck;Clement Atzberger;Kjell Arild Høgda;Bernt Johansen

  • EFFECTS OF FIRE AND HERBIVORY ON THE STABILITY OF SAVANNA ECOSYSTEMS

    Frank van Langevelde;Claudius A.D.M. van de Vijver;Claudius A.D.M. van de Vijver;Lalit Kumar;Lalit Kumar;Johan van de Koppel

  • Narrow band vegetation indices overcome the saturation problem in biomass estimation

    Onisimo Mutanga;A. K. Skidmore

  • Spectral discrimination of vegetation types in a coastal wetland

    K.S. Schmidt;A.K. Skidmore

  • Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forests

    T.M. Basuki;P.E. van Laake;A.K. Skidmore;Y.A. Hussin

  • Modelling topographic variation in solar radiation in a GIS environment

    Lalit Kumar;Andrew K. Skidmore;Edmund Knowles

  • A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method

    Moses Azong Cho;Andrew K. Skidmore

  • Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland

    Roshanak Darvishzadeh;Andrew Skidmore;Martin Schlerf;Clement Atzberger

  • LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements

    Roshanak Darvishzadeh;Andrew Skidmore;Martin Schlerf;Clement Atzberger

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

    Unknown

  • Next-generation Digital Earth

    Michael F. Goodchild;Huadong Guo;Alessandro Annoni;Ling Bian

  • Estimation of green grass/herb biomass from airborne hyperspectral imagery using spectral indices and partial least squares regression

    Moses Azong Cho;Moses Azong Cho;Andrew K. Skidmore;Andrew K. Skidmore;Fabio Corsi;Sipke E. van Wieren

  • Environmental science : Agree on biodiversity metrics to track from space

    Andrew K. Skidmore;Nathalie Pettorelli;Nicholas C. Coops;Gary N. Geller

  • A comparison of techniques for calculating gradient and aspect from a gridded digital elevation model

    Andrew K. Skidmore

  • Predicting in situ pasture quality in the Kruger National Park, South Africa, using continuum-removed absorption features

    O. Mutanga;A.K. Skidmore;H.H.T. Prins

  • Generating pit-free canopy height models from airborne lidar

    Anahita Khosravipour;Andrew K. Skidmore;Martin Isenburg;Tiejun Wang

  • Imaging Spectrometry and Vegetation Science

    Lalit Kumar;Karin Schmidt;Steve Dury;Andrew Skidmore

  • Digital Earth 2020: towards the vision for the next decade

    Max Craglia;Kees de Bie;Davina Jackson;Martino Pesaresi

  • Framing the concept of satellite remote sensing essential biodiversity variables: challenges and future directions

    Nathalie Pettorelli;Martin Wegmann;Martin Wegmann;Andrew Skidmore;Sander Mucher

  • Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale.

    W. Daniel Kissling;Jorge A. Ahumada;Anne Bowser;Miguel Fernandez;Miguel Fernandez

  • Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces

    Angela Lausch;Angela Lausch;Michael E. Schaepman;Andrew K. Skidmore;Sina C. Truckenbrodt

  • An explanation of enhanced radar backscattering from flooded forests

    J. A. Richards;P. W. Woodgate;A. K. Skidmore

Frequent Co-Authors

Tiejun Wang
Tiejun Wang University of Twente
Roshanak Darvishzadeh
Roshanak Darvishzadeh University of Twente
Marco Heurich
Marco Heurich University of Freiburg
Martin Schlerf
Martin Schlerf Luxembourg Institute of Science and Technology
Herbert H. T. Prins
Herbert H. T. Prins Wageningen University & Research
Moses Azong Cho
Moses Azong Cho Council for Scientific and Industrial Research
Simon Jones
Simon Jones Microsoft (United States)
Clement Atzberger
Clement Atzberger BOKU University
Ignas M. A. Heitkönig
Ignas M. A. Heitkönig Wageningen University & Research
Jan G. P. W. Clevers
Jan G. P. W. Clevers Wageningen University & Research

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