What is he best known for?
The fields of study he is best known for:
- Ecology
- Agriculture
- Ecosystem
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.
His most cited work include:
- Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review (530 citations)
- Narrow band vegetation indices overcome the saturation problem in biomass estimation (468 citations)
- High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm (431 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Remote sensing (40.66%)
- Vegetation (29.67%)
- Multispectral image (21.98%)
What were the highlights of his more recent work (between 2019-2021)?
- Remote sensing (40.66%)
- Vegetation (29.67%)
- Multispectral image (21.98%)
In recent papers he was focusing on the following fields of study:
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.
Between 2019 and 2021, his most popular works were:
- A quantitative framework for analysing long term spatial clustering and vegetation fragmentation in an urban landscape using multi-temporal landsat data (13 citations)
- The impact of land-use/land cover changes on water balance of the heterogeneous Buzi sub-catchment, Zimbabwe (13 citations)
- Predicting the spatial suitability distribution of Moringa oleifera cultivation using analytical hierarchical process modelling (8 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Agriculture
- Ecosystem
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
- Forestry most often made with reference to Climatic variables,
- Climate change mitigation that intertwine with fields like Remote sensing.
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.
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