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 34 Citations 5,307 106 World Ranking 4831 National Ranking 13

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Ecosystem
  • Agriculture

Renaud Mathieu mainly investigates Remote sensing, Radiometry, Red edge, Ecosystem and Spectral bands. His work carried out in the field of Remote sensing brings together such families of science as Snow, Image resolution and Moderate-resolution imaging spectroradiometer. The study incorporates disciplines such as Soil color, Soil test, Hue and Soil retrogression and degradation in addition to Radiometry.

In Red edge, Renaud Mathieu works on issues like Forestry, which are connected to Wet season, Climate change, Dry season, Rangeland and Agroforestry. His study in Ecosystem is interdisciplinary in nature, drawing from both Biomass, National park, Land cover, Ancillary data and Woodland. As part of the same scientific family, Renaud Mathieu usually focuses on Spectral bands, concentrating on Precision agriculture and intersecting with Vegetation.

His most cited work include:

  • Mapping private gardens in urban areas using object-oriented techniques and very high-resolution satellite imagery (251 citations)
  • Classification of savanna tree species, in the Greater Kruger National Park region, by integrating hyperspectral and LiDAR data in a Random Forest data mining environment (183 citations)
  • An investigation into robust spectral indices for leaf chlorophyll estimation (151 citations)

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

His main research concerns Remote sensing, Vegetation, Lidar, Ecology and Remote sensing. His Remote sensing course of study focuses on National park and Woody cover. His research integrates issues of Rangeland, Biomass, Canopy, Ecosystem and Backscatter in his study of Vegetation.

Renaud Mathieu focuses mostly in the field of Canopy, narrowing it down to topics relating to Random forest and, in certain cases, Deciduous and L band. His Lidar research incorporates themes from Arid, Spatial distribution and Scale. His Remote sensing study integrates concerns from other disciplines, such as Earth observation and Tree species.

He most often published in these fields:

  • Remote sensing (60.42%)
  • Vegetation (35.42%)
  • Lidar (22.92%)

What were the highlights of his more recent work (between 2016-2021)?

  • Remote sensing (60.42%)
  • Biome (9.72%)
  • Lidar (22.92%)

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

His main research concerns Remote sensing, Biome, Lidar, Woody cover and Physical geography. Within one scientific family, Renaud Mathieu focuses on topics pertaining to Vegetation cover under Remote sensing, and may sometimes address concerns connected to Time series. His Biome research is multidisciplinary, incorporating elements of Meteorology, Atmospheric sciences, Terrestrial ecosystem and Evapotranspiration.

His work is dedicated to discovering how Lidar, Arid are connected with Vegetation, Precipitation, Training set and Shrub and other disciplines. His studies in Woody cover integrate themes in fields like National park and Normalized Difference Vegetation Index. His work investigates the relationship between Physical geography and topics such as Biomass that intersect with problems in Woodland, Spatial distribution, Forest inventory and Scale.

Between 2016 and 2021, his most popular works were:

  • An above-ground biomass map of African savannahs and woodlands at 25 m resolution derived from ALOS PALSAR (76 citations)
  • Multi-phenology WorldView-2 imagery improves remote sensing of savannah tree species (31 citations)
  • Multi-phenology WorldView-2 imagery improves remote sensing of savannah tree species (31 citations)

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

  • Ecology
  • Ecosystem
  • Agriculture

His scientific interests lie mostly in Biome, Remote sensing, Woodland, Lidar and Physical geography. His Biome study combines topics from a wide range of disciplines, such as Convection, Energy balance, Climate change, Atmospheric sciences and Wetland. His Atmospheric sciences research is multidisciplinary, incorporating elements of Hydrology, Latent heat, Meteorology, Evapotranspiration and FluxNet.

His work on Remote sensing as part of general Remote sensing study is frequently connected to Science policy, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. Renaud Mathieu has researched Woodland in several fields, including Biomass, Forest inventory, Spatial distribution and Scale. His studies deal with areas such as Rainforest, Land cover, Ancillary data and Ecosystem as well as Lidar.

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

Mapping private gardens in urban areas using object-oriented techniques and very high-resolution satellite imagery

Renaud Mathieu;Claire Freeman;Jagannath Aryal.
Landscape and Urban Planning (2007)

416 Citations

Classification of savanna tree species, in the Greater Kruger National Park region, by integrating hyperspectral and LiDAR data in a Random Forest data mining environment

L Naidoo;Moses A Cho;Renaud Sa Mathieu;G Asner.
Isprs Journal of Photogrammetry and Remote Sensing (2012)

261 Citations

Mapping tree species composition in South African savannas using an integrated airborne spectral and LiDAR system

Moses Azong Cho;Renaud Mathieu;Gregory P. Asner;Laven Naidoo.
Remote Sensing of Environment (2012)

220 Citations

An investigation into robust spectral indices for leaf chlorophyll estimation

Russell Main;Moses Azong Cho;Renaud Mathieu;Martha M. O’Kennedy.
Isprs Journal of Photogrammetry and Remote Sensing (2011)

205 Citations

Object-Based Classification of Ikonos Imagery for Mapping Large-Scale Vegetation Communities in Urban Areas

Renaud Mathieu;Jagannath Aryal;Albert K. Chong.
Sensors (2007)

197 Citations

Subpixel monitoring of the seasonal snow cover with MODIS at 250 m spatial resolution in the Southern Alps of New Zealand: Methodology and accuracy assessment

Pascal Sirguey;Renaud Mathieu;Renaud Mathieu;Yves Arnaud.
Remote Sensing of Environment (2009)

174 Citations

Regional estimation of savanna grass nitrogen using the red-edge band of the spaceborne RapidEye sensor

Abel Ramoelo;Abel Ramoelo;Andrew K. Skidmore;Moses Azong Cho;Martin Schlerf.
International Journal of Applied Earth Observation and Geoinformation (2012)

161 Citations

Diversity of native and exotic birds across an urban gradient in a New Zealand city

Yolanda van Heezik;Amber Smyth;Renaud Mathieu.
Landscape and Urban Planning (2008)

152 Citations

Improving Discrimination of Savanna Tree Species Through a Multiple-Endmember Spectral Angle Mapper Approach: Canopy-Level Analysis

M A Cho;P Debba;R Mathieu;L Naidoo.
IEEE Transactions on Geoscience and Remote Sensing (2010)

149 Citations

Relationships between Satellite-Based Radiometric Indices Simulated Using Laboratory Reflectance Data and Typic Soil Color of an Arid Environment

Renaud Mathieu;Renaud Mathieu;Marcel Pouget;Bernard Cervelle;Richard Escadafal.
Remote Sensing of Environment (1998)

142 Citations

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