John Odindi
Orcid: 0000-0002-4934-1346
According to our database1,
John Odindi
authored at least 25 papers
between 2017 and 2024.
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Bibliography
2024
A visual and spatial tool for tracking, mapping and forecasting the dispersal of biological control agents.
Softw. Impacts, 2024
The influence of biophysical characteristics on elephant space use in an African savanna.
Ecol. Informatics, 2024
The utility of Planetscope spectral data in quantifying above-ground carbon stock in an urban reforested landscape.
Ecol. Informatics, 2024
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
Remote Sensing-Based Outdoor Thermal Comfort Assessment in Local Climate Zones in the Rural-Urban Continuum of eThekwini Municipality, South Africa.
Remote. Sens., December, 2023
State-of-the-Art Deep Learning Methods for Objects Detection in Remote Sensing Satellite Images.
Sensors, July, 2023
Assessing the Prospects of Remote Sensing Maize Leaf Area Index Using UAV-Derived Multi-Spectral Data in Smallholder Farms across the Growing Season.
Remote. Sens., March, 2023
2022
"Cool" Roofs as a Heat-Mitigation Measure in Urban Heat Islands: A Comparative Analysis Using Sentinel 2 and Landsat Data.
Remote. Sens., 2022
Determining the Influence of Long Term Urban Growth on Surface Urban Heat Islands Using Local Climate Zones and Intensity Analysis Techniques.
Remote. Sens., 2022
Determining the Capability of the Tree-Based Pipeline Optimization Tool (TPOT) in Mapping Parthenium Weed Using Multi-Date Sentinel-2 Image Data.
Remote. Sens., 2022
Determining the onset of autumn grass senescence in subtropical sour-veld grasslands using remote sensing proxies and the breakpoint approach.
Ecol. Informatics, 2022
2021
A Comparative Estimation of Maize Leaf Water Content Using Machine Learning Techniques and Unmanned Aerial Vehicle (UAV)-Based Proximal and Remotely Sensed Data.
Remote. Sens., 2021
The Utility of Sentinel-2 Spectral Data in Quantifying Above-Ground Carbon Stock in an Urban Reforested Landscape.
Remote. Sens., 2021
Estimating and Monitoring Land Surface Phenology in Rangelands: A Review of Progress and Challenges.
Remote. Sens., 2021
Basic and deep learning models in remote sensing of soil organic carbon estimation: A brief review.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
A Hybrid Feature Method for Handling Redundant Features in a Sentinel-2 Multidate Image for Mapping Parthenium Weed.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
A Comparison of Two Morphological Techniques in the Classification of Urban Land Cover.
Remote. Sens., 2020
A quantitative framework for analysing long term spatial clustering and vegetation fragmentation in an urban landscape using multi-temporal landsat data.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Feature Selection on Sentinel-2 Multispectral Imagery for Mapping a Landscape Infested by Parthenium Weed.
Remote. Sens., 2019
2018
Evaluating the capability of Landsat 8 OLI and SPOT 6 for discriminating invasive alien species in the African Savanna landscape.
Int. J. Appl. Earth Obs. Geoinformation, 2018
Predicting Urban Growth and Implication on Urban Thermal Characteristics in Harare, Zimbabwe.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Modelling Leaf Chlorophyll Content in Coffee (Coffea Arabica) Plantations Using Sentinel 2 Msi Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Empirical Modeling of Leaf Chlorophyll Content in Coffee (Coffea Arabica) Plantations With Sentinel-2 MSI Data: Effects of Spectral Settings, Spatial Resolution, and Crop Canopy Cover.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
Predicting Spatial Distribution of Key Honeybee Pests in Kenya Using Remotely Sensed and Bioclimatic Variables: Key Honeybee Pests Distribution Models.
ISPRS Int. J. Geo Inf., 2017
Estimating Swiss chard foliar macro- and micronutrient concentrations under different irrigation water sources using ground-based hyperspectral data and four partial least squares (PLS)-based (PLS1, PLS2, SPLS1 and SPLS2) regression algorithms.
Comput. Electron. Agric., 2017