Ms. Johanna Anyesi Wanjala

Geomatic Engineering and Geospatial Information Systems

Personal statement

A diligent geomatic engineer and geospatial scientist with expertise in land and topographic survey, remote sensing, geospatial analysis and cartography. A researcher in environmental and ecological modelling, water resource management and conservation, climate change analysis and social cartography. Knowledgeable in big data analysis and machine learning (ML), advocating for community rights through participatory mapping, planning and facilitation of workshops, development of concept notes, field budgeting and reporting.  

Additional skills include the ability to multi-task and carry out the diverse range of responsibilities attributed to spatial and non-spatial analysis and administrative work. A dependable team player who takes initiative and works collaboratively with others to make processes as efficient as possible.

Academic Background

Qualification Institution Year
PhD. Geomatics & Geospatial Information Science Programme Dedan Kimathi University of Technology, Kenya 2021 – Ongoing
MSc Geospatial Information Systems and Remote Sensing Dedan Kimathi University of Technology, Kenya 2018 – 2021
BSc. Geomatic Engineering and Geospatial Information Systems Dedan Kimathi University of Technology, Kenya 2012 – 2017
Python for Data Science Zalego Institute of Technology and Innovation, Kenya 2018
New Social Cartography of the Amazon University of the State of the Amazon-UEA, Brazil 2017
Web GIS Kenya Agricultural and Livestock Research Organization 2016

Books

  1. Bartholomew Thiong’o Kuria; Johanna Anyesi Wanjala; Wisdom Kipkemboi; Simon Wachira Muthee; Martin Wainaina Chege (2023). Let’s Save Our Environment. InterCEN Publishers. ISBN: 978-9914-9679-2-0.
  2. Social Cartography and Technical Training of Researchers and Social Movements in Kenya and Brazil. (Report No. 7).  http://novacartografiasocial.com.br/reports/.
  3. Kenya Land Alliance (2018). Kenya Land Issuance Disaggregated Data Analysis. KLA Publishers. ISBN / Resource ID: kla:2686. https://www.landportal.info/library/resources/kla2686/kenya-land-issuance-disaggregated-data-analysis.

Publications

  1. Simon Wachira Muthee, Bartholomew Thiong’o Kuria, Charles Ndegwa Mundia, Arthur W. Sichangi, David Ndegwa Kuria, Johanna Anyesi Wanjala, Wisdom Kipkemboi, Marcus Goebel, Valerie Graw & Andreas Rienow Using the SARIMA model to predict the trends of evapotranspiration and runoff in the Muringato river basin, Kenya. Stoch Environ Res Risk Assess. https://doi.org/10.1007/s00477-023-02534-w.
  2. Wisdom Kipkemboi; Bartholomew T. Kuria; David N. Kuria; Arthur W. Sichangi; Charles N. Mundia; Johanna A. Wanjala; Simon W. Muthee; Marcus Goebel; Andreas Rienow. (2023). Development of a Web-GIS platform for Environmental monitoring and conservation of the Muringato Catchment in Kenya. https://doi.org/10.1007/s41651-023-00143-3.
  3. Wanjala, J.A., Sichangi, A.W., Mundia, C.N., Makokha, G. O. (2020). Modelling the dry season inundation pattern of Yala Swamp in Kenya. Model. Earth Syst. Environ. (2020). https://doi.org/10.1007/s40808-020-00816-8.