Search Results - "Odindi, John"

Potential of interval partial least square regression in estimating leaf area index by Mutanga, Onisimo, Odindi, John, Kiala, Zolo

“…Leaf area index (LAI) is a critical parameter in determining vegetation status and health. In tropical grasslands, reliable determination of LAI, useful in…”
Get full text

Deep learning-based national scale soil organic carbon mapping with Sentinel-3 data by Odebiri, Omosalewa, Mutanga, Onisimo, Odindi, John

“…•First national scale deep learning-based remote sensing mapping of SOC in South Africa.•Performance of Deep neural network was compared to other classical…”
Get full text

A quantitative framework for analysing long term spatial clustering and vegetation fragmentation in an urban landscape using multi-temporal landsat data by Kowe, Pedzisai, Mutanga, Onisimo, Odindi, John, Dube, Timothy

“…•Landscape metrics indices and the forest fragmentation model captured long term temporal dynamics of vegetation fragmentation.•Local Indicators of Spatial…”
Get full text

Basic and deep learning models in remote sensing of soil organic carbon estimation: A brief review by Odebiri, Omosalewa, Odindi, John, Mutanga, Onisimo

“…•We conducted a brief review of deep learning-based remote sensing of SOC in the last 20 years.•Most studies are concentrated in the northern hemisphere.•Deep…”
Get full text

Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers by Adam, Elhadi, Mutanga, Onisimo, Odindi, John, Abdel-Rahman, Elfatih M.

“…Mapping of patterns and spatial distribution of land-use/cover (LULC) has long been based on remotely sensed data. In the recent past, efforts to improve the…”
Get full text

Prediction of future urban surface temperatures using medium resolution satellite data in Harare metropolitan city, Zimbabwe by Mushore, Terence Darlington, Odindi, John, Dube, Timothy, Mutanga, Onisimo

“…The objective of the study was to determine the impact of urban growth on future micro-climate of Harare by predicting future distribution of land use and land…”
Get full text

The Utility of Sentinel-2 Spectral Data in Quantifying Above-Ground Carbon Stock in an Urban Reforested Landscape by Mngadi, Mthembeni, Odindi, John, Mutanga, Onisimo

“…The transformation of the natural landscape into an impervious surface due to urbanization has often been considered an important driver of environmental…”
Get full text

Determining the Influence of Long Term Urban Growth on Surface Urban Heat Islands Using Local Climate Zones and Intensity Analysis Techniques by Mushore, Terence Darlington, Mutanga, Onisimo, Odindi, John

“…Urban growth, typified by conversion from natural to built-up impervious surfaces, is known to cause warming and associated adverse impacts. Local climate…”
Get full text

Effect of landscape pattern and spatial configuration of vegetation patches on urban warming and cooling in Harare metropolitan city, Zimbabwe by Kowe, Pedzisai, Mutanga, Onisimo, Odindi, John, Dube, Timothy

“…The spatial configuration of vegetation patches in the landscape has implications for the provision of ecosystem services, human adaptation to climate change,…”
Get full text

State-of-the-Art Deep Learning Methods for Objects Detection in Remote Sensing Satellite Images by Adegun, Adekanmi Adeyinka, Fonou Dombeu, Jean Vincent, Viriri, Serestina, Odindi, John

“…Object detection in remotely sensed satellite images is critical to socio-economic, bio-physical, and environmental monitoring, necessary for the prevention of…”
Get full text

Determining the Capability of the Tree-Based Pipeline Optimization Tool (TPOT) in Mapping Parthenium Weed Using Multi-Date Sentinel-2 Image Data by Kiala, Zolo, Odindi, John, Mutanga, Onisimo

“…The Tree-based Pipeline Optimization Tool (TPOT) is a state-of-the-art automated machine learning (AutoML) approach that automatically generates and optimizes…”
Get full text

Feature Selection on Sentinel-2 Multispectral Imagery for Mapping a Landscape Infested by Parthenium Weed by Kiala, Zolo, Mutanga, Onisimo, Odindi, John, Peerbhay, Kabir

“…In the recent past, the volume of spatial datasets has significantly increased. This is attributed to, among other factors, higher sensor temporal resolutions…”
Get full text

“Cool” Roofs as a Heat-Mitigation Measure in Urban Heat Islands: A Comparative Analysis Using Sentinel 2 and Landsat Data by Mushore, Terence, Odindi, John, Mutanga, Onisimo

“…Urban growth, characterized by expansion of impervious at the cost of the natural landscape, causes warming and heat-related distress. Specifically, an…”
Get full text

Remote Sensing-Based Outdoor Thermal Comfort Assessment in Local Climate Zones in the Rural-Urban Continuum of eThekwini Municipality, South Africa by Mushore, Terence Darlington, Odindi, John, Slotow, Rob, Mutanga, Onisimo

“…Due to the need to continuously monitor and understand the thermal environment and its socioeconomic implications, this study used remotely sensed data to…”
Get full text

Estimating and Monitoring Land Surface Phenology in Rangelands: A Review of Progress and Challenges by Matongera, Trylee Nyasha, Mutanga, Onisimo, Sibanda, Mbulisi, Odindi, John

“…Land surface phenology (LSP) has been extensively explored from global archives of satellite observations to track and monitor the seasonality of rangeland…”
Get full text

The influence of biophysical characteristics on elephant space use in an African savanna by Mlambo, Liberty, Adam, Elhadi, Shekede, Munyaradzi Davis, Odindi, John

“…Understanding the influence of biophysical variables on spatial distribution and seasonal locations of elephants is valuable inter alia in understanding their…”
Get full text

Predicting soil organic carbon stocks under commercial forest plantations in KwaZulu-Natal province, South Africa using remotely sensed data by Odebiri, Omosalewa, Mutanga, Onisimo, Odindi, John, Peerbhay, Kabir, Dovey, Steven

“…Commercial forest plantations are increasing globally, absorbing a large amount of carbon valuable for climate change mitigation. Whereas most carbon…”
Get full text

Insights and challenges of insecticide resistance modelling in malaria vectors: a review by Ibrahim, Eric Ali, Wamalwa, Mark, Odindi, John, Tonnang, Henri Edouard Zefack

“…Malaria is one of the most devastating tropical diseases, resulting in loss of lives each year, especially in children under the age of 5 years. Malaria…”
Get full text

A Comparative Estimation of Maize Leaf Water Content Using Machine Learning Techniques and Unmanned Aerial Vehicle (UAV)-Based Proximal and Remotely Sensed Data by Ndlovu, Helen S., Odindi, John, Sibanda, Mbulisi, Mutanga, Onisimo, Clulow, Alistair, Chimonyo, Vimbayi G. P., Mabhaudhi, Tafadzwanashe

“…Determining maize water content variability is necessary for crop monitoring and in developing early warning systems to optimise agricultural production in…”
Get full text

Spatio-temporal characterization of phenotypic resistance in malaria vector species by Ibrahim, Eric Ali, Wamalwa, Mark, Odindi, John, Tonnang, Henri E Z

“…Malaria, a deadly disease caused by Plasmodium protozoa parasite and transmitted through bites of infected female Anopheles mosquitoes, remains a significant…”
Get full text