Dr Moreblessings Shoko

Senior Lecturer
+27 (0)21 650 1503
m.shoko@uct.ac.za

Ph.D, Geomatics, University of Cape Town
M.Geo-info and Earth Observation Science (Geo-informatics), ITC Netherlands
Master in Business Administration, Zimbabwe Open University
BSc(Hons) Surveying and Geomatics, Midlands State University

Professional Services and Contributions

Member: ISPRS
Past President (2018): Zimbabwe Institute of Geomatics
Member: Marina van Damme Network of Female Engineers

Research Interests

• Built environment photogrammetric applications
• UAV in Geomatics
• Capacity building for Geomatics
• Indigenous methods incorporation into Geo-information data collection
• Women and Land in Geomatics

Publications

Shoko, M. (2021). Towards a women-centric land redistribution model for Namibia. Journal of Namibian Studies : History Politics Culture, 29, 85-105.  https://namibian-studies.com/index.php/JNS/article/view/8929

Maunga P., Shoko M., (2021) , The Level of conformity between the intended urban growth control boundary and actual boundary of built-up area in Gweru,  Midlands State University Journal of Science Agriculture and Technology (MSUJSAT), ISBN 1992-0903

Shoko M., Smit  J.L.(2020) LiDAR Derived Shack Footprint for the City of Cape Town, South Africa, South African Geographical Journal (SAGJ), DOI: 10.1080/03736245.2020.1863253

Shoko, M (2018)   ‘The organic perspective to Cape-Town South Africa shack extraction; Scitechnol Geoinformation and Geostatistics Journal

Shoko M, The role of UAVs in Geomatics education (2018) PositionIT professional publications, November 2018 publication, EE Publishers, South Africa.

Shoko, M & Maunga P., (2017); Sold by your own shadow-human detection in UAS based boundary monitoring, South African Journal of Geomatics, Volume 6, No 3, p349-362

 Shoko M,  Location and place: GIS for human and behavioral scientists”; (2017)    Amazon Electronic Books:  ISBN: 9781520825564

Shoko, M & Smit. J.L.   Deriving cues from human cognition for the modeling of shack boundaries in aerial imagery." South African Journal of Science 112, no. 11-12 (2016): 1-5.

Shoko, M., & Smit, J. (2013).   Use of agent-based modelling to investigate the dynamics of slum growth. South African Journal of Geomatics, 2(1), 54-67.

 Shoko, M., Senderayi l.T., Useya J., (2013)   The evolution of geomatics education in Zimbabwe, Scitechnol Geoinformation, and Geostatistics Journal

lberink, S. O., Shoko, M. A., Fathi, S. A., & Rutzinger, M. (2012).  Detection of collapsed buildings by classifying segmented airborne laser scanner data. ISPRS– International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 38(5), 307-312. 

Shoko, M. and Njike, D. (2011) Spatial Data Infrastructure - The Missing Piece in Zimbabwe’s Economic Recovery Plan, In Proceedings of the 1st Advances in Geomatics Research Conference, 3rd – 4th August 2011: Kampala, Uganda. Pp 186 – 194. ISBN: 9789970167012

Chinofunga A, Muchawona A, Shoko M, and Nyoni C -Remote Sensing and GIS Applications on Change Detection Study in Mafungabusi Forest – Gokwe (Zimbabwe), Using Multi-Temporal Satellite Data (1992– 2008). Zimbabwe International Research Symposium; Edition Book of Proceedings. ISSN: 978-797