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Environmental Sciences

D-Index
49
Citations
11743
World Ranking
5158
National Ranking
136

Overview

Jan Verbesselt is affiliated with Wageningen University & Research in the Netherlands. Their scientific contributions primarily span the field of Environmental Science, with a notable focus on Global and Planetary Change, Ecology, and Environmental Engineering.

Their extensive research spans several subfields, including:

  • Global and Planetary Change
  • Ecology
  • Environmental Engineering
  • Atmospheric Science
  • Media Technology

Verbesselt's work addresses various topics chiefly related to remote sensing and ecosystem analysis. Key research themes include:

  • Remote Sensing in Agriculture
  • Land Use and Ecosystem Services
  • Remote Sensing and LiDAR Applications
  • Conservation, Biodiversity, and Resource Management
  • Remote-Sensing Image Classification
  • Plant Water Relations and Carbon Dynamics
  • Ecosystem dynamics and resilience

The scientist has published numerous papers in frequently chosen venues, such as:

  • Remote Sensing
  • Remote Sensing of Environment
  • Zenodo (CERN European Organization for Nuclear Research)
  • Wageningen University and Researchcenter Publications (Wageningen University & Research)
  • Nature

Some notable recent publications include:

  • Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series (2021, Remote Sensing of Environment)
  • Global-scale characterization of turning points in arid and semi-arid ecosystem functioning (2020, Global Ecology and Biogeography)
  • The openEO API-Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities (2021, Remote Sensing)
  • Implementation of BFASTmonitor Algorithm on Google Earth Engine to Support Large-Area and Sub-Annual Change Monitoring Using Earth Observation Data (2020, Remote Sensing)
  • Time series analysis for global land cover change monitoring: A comparison across sensors (2022, Remote Sensing of Environment)

Frequent collaborators in their research include:

  • Martin Herold
  • Wanda De Keersmaecker
  • Nandin-Erdene Tsendbazar
  • Johannes Reiche
  • Paulo N. Bernardino

Verbesselt's research outputs contribute to a deeper understanding of ecosystem monitoring through advanced remote sensing techniques, combining time series analysis and cloud computing tools. The scope of their work extends from local agricultural studies to global-scale ecosystem function analysis.

Best Publications

  • Detecting trend and seasonal changes in satellite image time series

    Jan Verbesselt;Robin John Hyndman;Glenn Newnham;Darius Culvenor

  • Phenological change detection while accounting for abrupt and gradual trends in satellite image time series

    Jan Verbesselt;Robin Hyndman;Achim Zeileis;Darius Culvenor

  • Near real-time disturbance detection using satellite image time series

    Jan Verbesselt;Achim Zeileis;Martin Herold

  • Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology

    Matthias Forkel;Nuno Carvalhais;Jan Verbesselt;Miguel D. Mahecha

  • Trend changes in global greening and browning: contribution of short-term trends to longer-term change

    Rogier de Jong;Jan Verbesselt;Michael E. Schaepman;Sytze de Bruin

  • Evaluating temporal consistency of long-term global NDVI datasets for trend analysis

    Feng Tian;Feng Tian;Rasmus Fensholt;Jan Verbesselt;Kenneth Grogan

  • A comparison of time series similarity measures for classification and change detection of ecosystem dynamics

    Stef Lhermitte;Stef Lhermitte;Jan Verbesselt;Willem Verstraeten;Willem Verstraeten;Pol Coppin

  • Robust monitoring of small-scale forest disturbances in a tropical montane forest using Landsat time series

    Ben DeVries;Jan Verbesselt;Lammert Kooistra;Martin Herold

  • Shifts in Global Vegetation Activity Trends

    Rogier De Jong;Jan Verbesselt;Achim Zeileis;Michael E. Schaepman

  • Remotely sensed resilience of tropical forests

    Jan Verbesselt;Nikolaus Umlauf;Marina Hirota;Marina Hirota;Marina Hirota;Milena Holmgren

  • Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2

    Johannes Reiche;Eliakim Hamunyela;Jan Verbesselt;Dirk Hoekman

  • Synergies of multiple remote sensing data sources for REDD+ monitoring

    Veronique De Sy;Martin Herold;Frédéric Achard;Gregory P Asner

  • Fusing Landsat and SAR time series to detect deforestation in the tropics

    Johannes Reiche;Jan Verbesselt;Dirk Hoekman;Martin Herold

  • Performance of vegetation indices from Landsat time series in deforestation monitoring

    Michael Schultz;Jan G.P.W. Clevers;Sarah Carter;Jan Verbesselt

  • Tracking disturbance-regrowth dynamics in tropical forests using structural change detection and Landsat time series

    Ben DeVries;Mathieu Decuyper;Mathieu Decuyper;Jan Verbesselt;Achim Zeileis

  • Combining satellite data for better tropical forest monitoring

    Johannes Reiche;Richard Lucas;Anthea L. Mitchell;Jan Verbesselt

  • Using spatial context to improve early detection of deforestation from Landsat time series

    Eliakim Hamunyela;Jan Verbesselt;Martin Herold

  • Monitoring forest cover loss using multiple data streams, a case study of a tropical dry forest in Bolivia

    Loïc Paul Dutrieux;Jan Verbesselt;Lammert Kooistra;Martin Herold

  • Climate seasonality limits leaf carbon assimilation and wood productivity in tropical forests

    Fabien H. Wagner;Bruno Hérault;Damien Bonal;Clément Stahl;Clément Stahl

  • 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

Martin Herold
Martin Herold Wageningen University & Research
Pol Coppin
Pol Coppin KU Leuven
Achim Zeileis
Achim Zeileis University of Innsbruck
Rasmus Fensholt
Rasmus Fensholt University of Copenhagen
Ben Somers
Ben Somers KU Leuven
Lammert Kooistra
Lammert Kooistra Wageningen University & Research
Edzer Pebesma
Edzer Pebesma University of Münster
Darius S. Culvenor
Darius S. Culvenor Commonwealth Scientific and Industrial Research Organisation
Michael E. Schaepman
Michael E. Schaepman University of Zurich

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