D-Index & Metrics Best Publications
Koen Hufkens

Koen Hufkens

Ghent University
Belgium

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Ecosystem
  • Climate change

Koen Hufkens mainly investigates Phenology, Canopy, Ecology, Remote sensing and Vegetation. His work deals with themes such as Snowpack, Climatology, Ecosystem and Biosphere, which intersect with Phenology. His biological study spans a wide range of topics, including Remote sensing, Frost, Effects of global warming and Scale.

His work carried out in the field of Remote sensing brings together such families of science as Deciduous and Digital camera. His studies in Deciduous integrate themes in fields like Radiometer, Enhanced vegetation index, Global change, Moderate-resolution imaging spectroradiometer and Normalized Difference Vegetation Index. His Vegetation research incorporates themes from Eddy covariance, Growing season, Temperate deciduous forest, Leaf size and Leaf area index.

His most cited work include:

  • Digital repeat photography for phenological research in forest ecosystems (327 citations)
  • Above-ground biomass and structure of 260 African tropical forests. (191 citations)
  • Linking near-surface and satellite remote sensing measurements of deciduous broadleaf forest phenology (185 citations)

What are the main themes of his work throughout his whole career to date?

Phenology, Remote sensing, Ecology, Vegetation and Atmospheric sciences are his primary areas of study. His Phenology study incorporates themes from Climatology, Remote sensing, Seasonality, Deciduous and Ecosystem. His Remote sensing study combines topics in areas such as Biosphere, Enhanced vegetation index, Crowdsourcing and Vegetation phenology, Normalized Difference Vegetation Index.

His research in Ecology tackles topics such as Specific leaf area which are related to areas like Crown and Horticulture. His Vegetation research is multidisciplinary, relying on both Land cover, Temperate deciduous forest, Hydrology and Soil pH. His studies in Atmospheric sciences integrate themes in fields like Cuticle and Energy balance.

He most often published in these fields:

  • Phenology (73.68%)
  • Remote sensing (37.72%)
  • Ecology (23.68%)

What were the highlights of his more recent work (between 2017-2021)?

  • Phenology (73.68%)
  • Vegetation (31.58%)
  • Atmospheric sciences (31.58%)

In recent papers he was focusing on the following fields of study:

Koen Hufkens spends much of his time researching Phenology, Vegetation, Atmospheric sciences, Remote sensing and Climatology. His Phenology study combines topics from a wide range of disciplines, such as Crop, Seasonality, Deciduous, Ecosystem and Evergreen. The study incorporates disciplines such as Canopy and Precipitation in addition to Evergreen.

His study explores the link between Vegetation and topics such as Land cover that cross with problems in Moderate-resolution imaging spectroradiometer. His Atmospheric sciences research is multidisciplinary, incorporating perspectives in Plant phenology and Growing degree-day. His Remote sensing research integrates issues from Biosphere, Support vector machine, Crowdsourcing, Snow and Normalized Difference Vegetation Index.

Between 2017 and 2021, his most popular works were:

  • Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery. (137 citations)
  • Ecosystem warming extends vegetation activity but heightens vulnerability to cold temperatures (113 citations)
  • An integrated phenology modelling framework in r (48 citations)

In his most recent research, the most cited papers focused on:

  • Ecology
  • Ecosystem
  • Climate change

His primary scientific interests are in Phenology, Vegetation, Atmospheric sciences, Biome and Remote sensing. The concepts of his Phenology study are interwoven with issues in Peat, Frost, Ecosystem and Taiga. Koen Hufkens interconnects Bog, Boreal, Remote sensing, Seasonality and Deciduous in the investigation of issues within Vegetation.

Physical geography is closely connected to Satellite imagery in his research, which is encompassed under the umbrella topic of Seasonality. Koen Hufkens combines subjects such as Deforestation, Spatial distribution and La Niña with his study of Atmospheric sciences. His Biome research incorporates elements of Climate change and Precipitation.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Digital repeat photography for phenological research in forest ecosystems

Oliver Sonnentag;Oliver Sonnentag;Koen Hufkens;Cory Teshera-Sterne;Adam M. Young.
Agricultural and Forest Meteorology (2012)

519 Citations

Above-ground biomass and structure of 260 African tropical forests.

Simon L. Lewis;Simon L. Lewis;Bonaventure Sonké;Terry Sunderland;Serge K. Begne;Serge K. Begne.
Philosophical Transactions of the Royal Society B (2013)

325 Citations

Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery.

.
Scientific Data (2018)

268 Citations

Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery

Stephen Klosterman;Koen Hufkens;Koen Hufkens;J. M. Gray;E. Melaas.
Biogeosciences (2014)

266 Citations

Linking near-surface and satellite remote sensing measurements of deciduous broadleaf forest phenology

Koen Hufkens;Mark Friedl;Oliver Sonnentag;Bobby H. Braswell.
Remote Sensing of Environment (2012)

266 Citations

Terrestrial biosphere model performance for inter‐annual variability of land‐atmosphere CO2 exchange

T.F. Keenan;Ian Baker;Alan Barr;Philippe Ciais.
Global Change Biology (2012)

239 Citations

Ecological impacts of a widespread frost event following early spring leaf-out

Koen Hufkens;Mark A. Friedl;Trevor F. Keenan;Oliver Sonnentag;Oliver Sonnentag.
Global Change Biology (2012)

227 Citations

Ecosystem warming extends vegetation activity but heightens vulnerability to cold temperatures

Andrew D. Richardson;Andrew D. Richardson;Koen Hufkens;Thomas Milliman;Donald M. Aubrecht.
Nature (2018)

222 Citations

Tracking forest phenology and seasonal physiology using digital repeat photography: a critical assessment

T. F. Keenan;T. F. Keenan;B. Darby;E. Felts;O. Sonnentag;O. Sonnentag.
Ecological Applications (2014)

195 Citations

Greenness indices from digital cameras predict the timing and seasonal dynamics of canopy-scale photosynthesis.

Michael Toomey;Mark A. Friedl;Steve Frolking;Koen Hufkens.
Ecological Applications (2015)

134 Citations

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