Onisimo Mutanga mainly investigates Remote sensing, Vegetation, Hyperspectral imaging, Random forest and Multispectral image. His research integrates issues of Mean squared error, Linear regression and Wetland in his study of Remote sensing. In the field of Vegetation, his study on Normalized Difference Vegetation Index overlaps with subjects such as Solanum mauritianum.
The Hyperspectral imaging study combines topics in areas such as Canopy and Statistics, Partial least squares regression, Coefficient of determination. His Random forest research is multidisciplinary, incorporating elements of Support vector machine, Regression, False positive rate, Algorithm and Principal component analysis. Onisimo Mutanga has included themes like Eucalyptus and Cartography in his Multispectral image study.
The scientist’s investigation covers issues in Remote sensing, Vegetation, Multispectral image, Hyperspectral imaging and Random forest. His Remote sensing study combines topics from a wide range of disciplines, such as Canopy and Partial least squares regression. In his work, Rangeland is strongly intertwined with Grassland, which is a subfield of Vegetation.
Onisimo Mutanga usually deals with Multispectral image and limits it to topics linked to Spatial distribution and Invasive species and Ecology. His Hyperspectral imaging study integrates concerns from other disciplines, such as Mean squared error, Statistics and Agronomy, Leaf spot. The concepts of his Random forest study are interwoven with issues in Contextual image classification, Feature selection, Support vector machine and Regression.
Onisimo Mutanga focuses on Remote sensing, Vegetation, Multispectral image, Agroforestry and Normalized Difference Vegetation Index. His Synthetic aperture radar study in the realm of Remote sensing interacts with subjects such as Operational land imager. His research in Vegetation is mostly concerned with Red edge.
His Multispectral image research is multidisciplinary, relying on both Tree and Random forest. His biological study deals with issues like Cartography, which deal with fields such as Foraging, Apiary, Pollination and Hyperspectral imaging. His Normalized Difference Vegetation Index research includes elements of Arid, Biodiversity, Physical geography and Phenology.
His scientific interests lie mostly in Kwazulu natal, Remote sensing, Soil organic carbon stocks, Agroforestry and Moringa. His studies in Remote sensing integrate themes in fields like Linear discriminant analysis and Normalized Difference Vegetation Index. His research on Soil organic carbon stocks also deals with topics like
His study in Forestry is interdisciplinary in nature, drawing from both Indigenous, Spatial distribution and Tree species. The various areas that Onisimo Mutanga examines in his Agroforestry study include Parthenium, Parthenium hysterophorus and Invasive species. Onisimo Mutanga has researched Random forest in several fields, including Phenology and Plant breeding.
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.
Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review
Elhadi Adam;Onisimo Mutanga;Denis Rugege.
Wetlands Ecology and Management (2010)
Narrow band vegetation indices overcome the saturation problem in biomass estimation
Onisimo Mutanga;A. K. Skidmore.
International Journal of Remote Sensing (2004)
High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm
Onisimo Mutanga;Elhadi Adam;Moses Azong Cho.
International Journal of Applied Earth Observation and Geoinformation (2012)
Predicting in situ pasture quality in the Kruger National Park, South Africa, using continuum-removed absorption features
O. Mutanga;A.K. Skidmore;H.H.T. Prins.
Remote Sensing of Environment (2004)
Red edge shift and biochemical content in grass canopies
Onisimo Mutanga;Andrew K. Skidmore.
Isprs Journal of Photogrammetry and Remote Sensing (2007)
Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers
Elhadi Adam;Onisimo Mutanga;John Odindi;Elfatih M. Abdel-Rahman.
International Journal of Remote Sensing (2014)
Evaluating the utility of the medium-spatial resolution Landsat 8 multispectral sensor in quantifying aboveground biomass in uMgeni catchment, South Africa
Timothy Dube;Onisimo Mutanga.
Isprs Journal of Photogrammetry and Remote Sensing (2015)
Integrating imaging spectroscopy and neural networks to map grass quality in the Kruger National Park, South Africa
O. Mutanga;A.K. Skidmore.
Remote Sensing of Environment (2004)
Discriminating tropical grass (Cenchrus ciliaris) canopies grown under different nitrogen treatments using spectroradiometry
Onisimo Mutanga;Andrew K Skidmore;Sipke van Wieren.
Isprs Journal of Photogrammetry and Remote Sensing (2003)
Spectral discrimination of papyrus vegetation (Cyperus papyrus L.) in swamp wetlands using field spectrometry
Elhadi Adam;Onisimo Mutanga.
Isprs Journal of Photogrammetry and Remote Sensing (2009)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
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: