Timothy Dube
Orcid: 0000-0003-3456-8991
According to our database1,
Timothy Dube
authored at least 27 papers
between 2014 and 2024.
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Bibliography
2024
Remote sensing crop water productivity and water use for sustainable agriculture during extreme weather events in South Africa.
Int. J. Appl. Earth Obs. Geoinformation, 2024
A critical review of literature on remote sensing grass quality during the senescence phenological stage.
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
A Systematic Review of UAV Applications for Mapping Neglected and Underutilised Crop Species' Spatial Distribution and Health.
Remote. Sens., October, 2023
A Systematic Review on Advancements in Remote Sensing for Assessing and Monitoring Land Use and Land Cover Changes Impacts on Surface Water Resources in Semi-Arid Tropical Environments.
Remote. Sens., August, 2023
Remote. Sens., April, 2023
Carbon Stock Prediction in Managed Forest Ecosystems Using Bayesian and Frequentist Geostatistical Techniques and New Generation Remote Sensing Metrics.
Remote. Sens., March, 2023
Remote. Sens., January, 2023
Hierarchical Bayesian geostatistics for C stock prediction in disturbed plantation forest in Zimbabwe.
Ecol. Informatics, 2023
2022
Spatial Characterisation of Vegetation Diversity in Groundwater-Dependent Ecosystems Using In-Situ and Sentinel-2 MSI Satellite Data.
Remote. Sens., 2022
Landsat-8 and Sentinel-2 Based Prediction of Forest Plantation C Stock Using Spatially Varying Coefficient Bayesian Hierarchical Models.
Remote. Sens., 2022
Spatio-temporal variation of vegetation heterogeneity in groundwater dependent ecosystems within arid environments.
Ecol. Informatics, 2022
2021
Progress in Remote Sensing of Grass Senescence: A Review on the Challenges and Opportunities.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Characterizing Leaf Nutrients of Wetland Plants and Agricultural Crops with Nonparametric Approach Using Sentinel-2 Imagery Data.
Remote. Sens., 2021
2020
Multispectral Remote Sensing of Wetlands in Semi-Arid and Arid Areas: A Review on Applications, Challenges and Possible Future Research Directions.
Remote. Sens., 2020
Impacts of Climate Variability and Drought on Surface Water Resources in Sub-Saharan Africa Using Remote Sensing: A Review.
Remote. Sens., 2020
Is it possible to discern Striga weed (<i>Striga hermonthica</i>) infestation levels in maize agro-ecological systems using <i>in-situ</i> spectroscopy?
Int. J. Appl. Earth Obs. Geoinformation, 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
Numerical Assessments of Leaf Area Index in Tropical Savanna Rangelands, South Africa Using Landsat 8 OLI Derived Metrics and In-Situ Measurements.
Remote. Sens., 2019
2018
Determining Optimal New Generation Satellite Derived Metrics for Accurate C3 and C4 Grass Species Aboveground Biomass Estimation in South Africa.
Remote. Sens., 2018
Landscape-Scale Aboveground Biomass Estimation in Buffer Zone Community Forests of Central Nepal: Coupling In Situ Measurements with Landsat 8 Satellite Data.
Remote. Sens., 2018
Estimating Above-Ground Biomass in Sub-Tropical Buffer Zone Community Forests, Nepal, Using Sentinel 2 Data.
Remote. Sens., 2018
Transferability of species distribution models for the detection of an invasive alien bryophyte using imaging spectroscopy data.
Int. J. Appl. Earth Obs. Geoinformation, 2018
Understanding the spatial distribution of eroded areas in the former rural homelands of South Africa: Comparative evidence from two new non-commercial multispectral sensors.
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
2017
Detection and mapping the spatial distribution of bracken fern weeds using the Landsat 8 OLI new generation sensor.
Int. J. Appl. Earth Obs. Geoinformation, 2017
Integrating age in the detection and mapping of incongruous patches in coffee (Coffea arabica) plantations using multi-temporal Landsat 8 NDVI anomalies.
Int. J. Appl. Earth Obs. Geoinformation, 2017
2014
Intra-and-Inter Species Biomass Prediction in a Plantation Forest: Testing the Utility of High Spatial Resolution Spaceborne Multispectral RapidEye Sensor and Advanced Machine Learning Algorithms.
Sensors, 2014