D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 43 Citations 7,841 82 World Ranking 2922 National Ranking 1303

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Statistics
  • Remote sensing

His scientific interests lie mostly in Remote sensing, Vegetation, Lidar, Normalized Difference Vegetation Index and Climate change. The Remote sensing study combines topics in areas such as Photochemical Reflectance Index, Spectroradiometer, Temporal resolution and Moderate-resolution imaging spectroradiometer. His Moderate-resolution imaging spectroradiometer study incorporates themes from Atmospheric correction and Aerosol.

His studies in Vegetation integrate themes in fields like Sea surface temperature, Intertropical Convergence Zone, Precipitation, Amazon rainforest and Rainforest. His biological study deals with issues like Forest inventory, which deal with fields such as Environmental resource management, Sustainable forest management and Data collection. His Climate change research is multidisciplinary, incorporating elements of Communications satellite, Primary production and Biomass.

His most cited work include:

  • A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS (388 citations)
  • Lidar sampling for large-area forest characterization: A review (380 citations)
  • Estimating canopy structure of Douglas-fir forest stands from discrete-return LiDAR (266 citations)

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

Thomas Hilker mainly focuses on Remote sensing, Vegetation, Canopy, Lidar and Primary production. Thomas Hilker is interested in Satellite imagery, which is a branch of Remote sensing. His work deals with themes such as Remote sensing, Climate change, Phenology and Seasonality, which intersect with Vegetation.

Thomas Hilker works mostly in the field of Canopy, limiting it down to topics relating to Crown and, in certain cases, Basal area, as a part of the same area of interest. His research in Lidar intersects with topics in Biomass, Forest inventory and Scale. His Primary production study combines topics from a wide range of disciplines, such as Meteorology, Carbon cycle and Terrestrial ecosystem.

He most often published in these fields:

  • Remote sensing (85.44%)
  • Vegetation (41.75%)
  • Canopy (34.95%)

What were the highlights of his more recent work (between 2015-2018)?

  • Remote sensing (85.44%)
  • Vegetation (41.75%)
  • Lidar (28.16%)

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

Remote sensing, Vegetation, Lidar, Seasonality and Normalized Difference Vegetation Index are his primary areas of study. The concepts of his Remote sensing study are interwoven with issues in Primary production, Forest inventory, Climate change and Sink. His Vegetation research is multidisciplinary, relying on both Biomass, Atmospheric correction, National park, Moderate-resolution imaging spectroradiometer and Woodland.

His Lidar research includes elements of Forest management, Canopy, Transect, Thematic Mapper and Monte Carlo method. His work is dedicated to discovering how Seasonality, Eddy covariance are connected with Dry season, Hyperspectral imaging and Interception and other disciplines. His research investigates the link between Normalized Difference Vegetation Index and topics such as Amazon rainforest that cross with problems in Bidirectional reflectance distribution function, Phenology and Rainforest.

Between 2015 and 2018, his most popular works were:

  • Remote Sensing Technologies for Enhancing Forest Inventories: A Review (249 citations)
  • Integrating Landsat pixel composites and change metrics with lidar plots to predictively map forest structure and aboveground biomass in Saskatchewan, Canada (74 citations)
  • Consistency of vegetation index seasonality across the Amazon rainforest (18 citations)

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

Lidar sampling for large-area forest characterization: A review

Michael A. Wulder;Joanne C. White;Ross F. Nelson;Erik Næsset.
Remote Sensing of Environment (2012)

560 Citations

A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS

Thomas Hilker;Michael A. Wulder;Nicholas C. Coops;Julia Linke.
Remote Sensing of Environment (2009)

545 Citations

Estimating canopy structure of Douglas-fir forest stands from discrete-return LiDAR

Nicholas C. Coops;Thomas Hilker;Michael A. Wulder;Benoît St-Onge.
Trees-structure and Function (2007)

388 Citations

Remote Sensing Technologies for Enhancing Forest Inventories: A Review

Joanne C. White;Nicholas C. Coops;Michael A. Wulder;Mikko Vastaranta.
Canadian Journal of Remote Sensing (2016)

342 Citations

The role of LiDAR in sustainable forest management

Michael A. Wulder;Christopher W. Bater;Nicholas C. Coops;Thomas Hilker.
Forestry Chronicle (2008)

336 Citations

The use of remote sensing in light use efficiency based models of gross primary production: a review of current status and future requirements.

Thomas Hilker;Nicholas C. Coops;Michael A. Wulder;T. Andrew Black.
Science of The Total Environment (2008)

281 Citations

Generation of dense time series synthetic Landsat data through data blending with MODIS using a spatial and temporal adaptive reflectance fusion model.

Thomas Hilker;Michael A. Wulder;Nicholas C. Coops;Nicole Seitz.
Remote Sensing of Environment (2009)

268 Citations

Vegetation dynamics and rainfall sensitivity of the Amazon

Thomas Hilker;Alexei I. Lyapustin;Compton J. Tucker;Forrest G. Hall;Forrest G. Hall.
Proceedings of the National Academy of Sciences of the United States of America (2014)

239 Citations

Multi-angle implementation of atmospheric correction for MODIS (MAIAC): 3. Atmospheric correction

Alexei I. Lyapustin;Yujie Wang;Yujie Wang;Istvan Laszlo;Thomas Hilker.
Remote Sensing of Environment (2012)

197 Citations

Satellite observed widespread decline in Mongolian grasslands largely due to overgrazing

Thomas Hilker;Enkhjargal Natsagdorj;Richard H. Waring;Alexei Lyapustin.
Global Change Biology (2014)

195 Citations

Best Scientists Citing Thomas Hilker

Nicholas C. Coops

Nicholas C. Coops

University of British Columbia

Publications: 160

Michael A. Wulder

Michael A. Wulder

Natural Resources Canada

Publications: 92

Joanne C. White

Joanne C. White

Natural Resources Canada

Publications: 72

Alexei Lyapustin

Alexei Lyapustin

Goddard Space Flight Center

Publications: 48

Jing M. Chen

Jing M. Chen

University of Toronto

Publications: 36

Mikko Vastaranta

Mikko Vastaranta

University of Eastern Finland

Publications: 35

Luiz E. O. C. Aragão

Luiz E. O. C. Aragão

National Institute for Space Research

Publications: 33

Marco Heurich

Marco Heurich

University of Freiburg

Publications: 33

Juha Hyyppä

Juha Hyyppä

Finnish Geospatial Research Institute

Publications: 31

Erik Næsset

Erik Næsset

Norwegian University of Life Sciences

Publications: 30

Markus Holopainen

Markus Holopainen

University of Helsinki

Publications: 29

Elizabeth M. Middleton

Elizabeth M. Middleton

Goddard Space Flight Center

Publications: 29

Yujie Wang

Yujie Wang

University of Maryland, Baltimore County

Publications: 28

Michael E. Schaepman

Michael E. Schaepman

University of Zurich

Publications: 28

Xiangming Xiao

Xiangming Xiao

University of Oklahoma

Publications: 26

Andrew K. Skidmore

Andrew K. Skidmore

University of Twente

Publications: 25

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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