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 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.
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.
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.
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)
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)
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)
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)
Object-Based Classification of Ikonos Imagery for Mapping Large-Scale Vegetation Communities in Urban Areas
Renaud Mathieu;Jagannath Aryal;Albert K. Chong.
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)
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)
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)
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)
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)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: