Timothy Dube

According to our database1, Timothy Dube authored at least 12 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.



In proceedings 
PhD thesis 


On csauthors.net:


Is it possible to discern Striga weed (Striga hermonthica) infestation levels in maize agro-ecological systems using in-situ 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

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

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

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

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