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CWRR Staff - Member

Dr Shaeden Gokool

Shaeden Gokool

Position:                                Researcher

Discipline:                             Hydrology

Centre:                                   Centre for Water Resources Research (CWRR)

School:                                   School of Agricultural, Earth and Environmental Sciences

Campus:                                 Agriculture Campus

Room no./Building:              Room 241 Rabie Saunders Building

Telephone:                             +27 65 855 8992

Email:                                      GokoolS@ukzn.ac.za

 

Biography 

Dr Shaeden Gokool is a researcher in the Centre for Water Resources Research at the University of KwaZulu-Natal, Pietermaritzburg. His research interests include hydrological modelling, remote sensing, data science and stable isotope hydrology.

Qualifications

PhD (Hydrology), University of KwaZulu-Natal, 2018

MSc (Hydrology), University of KwaZulu-Natal, 2015

BSc Hons (Hydrology), University of KwaZulu-Natal, 2012

BSc (Hydrology and Geography), University of KwaZulu-Natal, 2011

Current Research Projects

  • Use of drone technology for monitoring the state of crops to improve water use productivity with precision agriculture and improved irrigation scheduling. Funded by the Water Research Commission. Project number K5/2971//4.
  • Determining water use, water use efficiency and nutritional water productivity of Moringa under varying crop management practices. Funded by the Water Research Commission. Project number C2020/2021-00484.
  • Determine water use of Cannabis tree in Eastern Cape and KwaZulu – Natal Provinces. Funded by the Water Research Commission. Project number C2020/2021-00442.
  • Leveraging the Google Earth Engine to analyse very-high spatial resolution unmanned aerial vehicle data to guide and inform precision agriculture in smallholder farms. Funded by the Water Research Commission. Project number C2021/2022-00800.
  • Model Uncertainty & Reliability for (water) Resource Assessment (MURRA). Funded by the Water Research Commission. Project number C2022/2023-00967.

Recently Completed Projects (2020-23)

  • Socio-Economic Benefits of Ecological Infrastructure (SEBEI) project. Funded by the Danish Ministry of Foreign Affairs (DANIDA), Project, grant no: 17-M07-KU.
  • Critical catchment hydrological model inter-comparison and model use guidance development project. Funded by the Water Research Commission. Project number K5/2927.
  • The expansion of knowledge on evapotranspiration and stream flow reduction of different clones/hybrids to improve the water use estimation of sfra species (i.e. Pinus, Eucalyptus, and Wattle species) project. Funded by the Water Research Commission. Project number K5/2791.

Hobbies and Interests

Playing sports and gaming

Five recent publications

  • Gokool, S, Mahomed, M, Kunz, R, Clulow, A, Sibanda, M, Naiken, V, Chetty, K and Mabhaudhi, T. 2023. Crop Monitoring in Smallholder Farms Using Unmanned Aerial Vehicles to Facilitate Precision Agriculture Practices: A Scoping Review and Bibliometric Analysis. Sustainability 15(4). https://doi.org/10.3390/su15043557
  • Peerbhai, T, Chetty, KT, Clark, DJ and Gokool S. 2022. Estimating evapotranspiration using earth observation data: A comparison between hydrological and energy balance modelling approaches. Journal of Hydrology 613. https://doi.org/10.1016/j.jhydrol.2022.128347
  • Gokool, S, Kunz, R and Toucher, M. 2022. Deriving moderate spatial resolution leaf area index estimates from coarser spatial resolution satellite products. Remote Sensing Applications: Society and Environment 26. https://doi.org/10.1016/j.rsase.2022.100743
  • Brewer, K, Clulow, A, Sibanda, M, Gokool, S, Naiken, V and Mabhaudhi, T. 2022. Predicting the Chlorophyll Content of Maize over Phenotyping as a Proxy for Crop Health in Smallholder Farming Systems. Remote Sensing 14. https://doi.org/10.3390/rs14030518.
  • Brewer, K, Clulow, A, Sibanda, M, Gokool, S, Odindi, J, Mutanga, O, Naiken, V, Chimonyo, V and Mabhaudhi, T. 2022. Estimation of Maize Foliar Temperature and Stomatal Conductance as Indicators of Water Stress Based on Optical and Thermal Imagery Acquired Using an Unmanned Aerial Vehicle (UAV) Platform. Drones 6(7). https://doi.org/10.3390/drones6070169