A Geospatial Approach to Mapping Jacaranda Tree Distribution in Johannesburg, South Africa
| dc.contributor.author | Reddy, Rohini Chelsea | |
| dc.contributor.supervisor | Fitchett, Jennifer | |
| dc.date.accessioned | 2024-11-10T14:54:54Z | |
| dc.date.available | 2024-11-10T14:54:54Z | |
| dc.date.issued | 2023-11 | |
| dc.description | A dissertation submitted for the Degree of Master of Science, to the Faculty of Science, School of Geography, Archaeology and Environmental Sciences, at the University of the Witwatersrand, Johannesburg, 2023. | |
| dc.description.abstract | Accurate mapping of the spatial distribution of invasive species is vital for the implementation of effective monitoring and management strategies. In countries where resources are scarce and costly, citizen science provides a cost-effective and accurate alternative for large-scale data collection. Citizen’s familiarity with their environment contributes to aspects such as accurate identification of features on the landscape. Advances in a geographic information system (GIS) together with open-sourced photography from Google Street View, provide accurate methods for in-field and remote validation of citizen science data for invasive mapping and assists with the creation and compilation of maps to visualize the spatial distribution of invasive plants upon the landscape. In this study, the first spatial distribution maps for invasive tree species, Jacaranda mimosofolia (common name: Jacaranda), are created for the City of Johannesburg (CoJ). Jacaranda trees are well-known by citizens in the CoJ for their district purple flowers which blanket the landscape during springtime. A combination approach using citizen science, GIS, and Google Street View for data collection, analysis, and creation of the first spatial distribution map of exact location and prevalence of Jacaranda trees within certain suburbs of the CoJ, is produced. A total of 8,931 ground-truthing geopoints together with extensive Google Street View validation for Jacaranda tree presence, formed the basis of accurate spatial distribution maps. The first research question of this study focused on the spatial distribution of Jacaranda trees in the CoJ and was answered as a total of 54 suburbs were confirmed as having a large presence of Jacaranda trees in the CoJ. Citizen science data collected a total of 488 geotags for possible Jacaranda tree presence in the CoJ, over a 75-day online survey collection period. Although citizen science data provided a lower spatial resolution compared to successful fieldwork and Google Street View approaches, citizen science data provided very high accuracy for the identification and geolocation of Jacaranda tree presence in the CoJ which answers the second research question based on the effectiveness of the geospatial approach towards citizen science, ground-truthing and Google Street View as data collection methods. Since the accuracy of citizen science resulted in 66% of collected geotags within the categories of ‘very high’, ‘high’ and ‘moderate’ accuracy ranges of between <7-24m from a confirmed Jacaranda tree, together with the accuracy of 8,931 in-field collected geolocation of Jacaranda trees and Google Street View’s accuracy and capability of collecting street view imagery – it is concluded that the combined approach of ground-truthing, citizen science and Google Street View contribute not only to effective data collection, but also towards the successful mapping of Jacaranda tree presence in the CoJ. | |
| dc.description.sponsorship | South African National Space Agency. | |
| dc.description.submitter | MMM2024 | |
| dc.faculty | Faculty of Science | |
| dc.identifier | 0000-0003-2885-2443 | |
| dc.identifier.citation | Reddy, Rohini Chelsea. (2023). A Geospatial Approach to Mapping Jacaranda Tree Distribution in Johannesburg, South Africa. [Master's dissertation, University of the Witwatersrand, Johannesburg]. https://hdl.handle.net/10539/42309 | |
| dc.identifier.uri | https://hdl.handle.net/10539/42309 | |
| dc.language.iso | en | |
| dc.publisher | University of the Witwatersrand, Johannesburg | |
| dc.rights | ©2023 University of the Witwatersrand, Johannesburg. All rights reserved. The copyright in this work vests in the University of the Witwatersrand, Johannesburg. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of University of the Witwatersrand, Johannesburg. | |
| dc.rights.holder | University of the Witwatersrand, Johannesburg | |
| dc.school | School of Geography, Archaeology and Environmental Sciences | |
| dc.subject | Geospatial | |
| dc.subject | Citizen Science | |
| dc.subject | GIS | |
| dc.subject | Jacaranda | |
| dc.subject | City of Johannesburg | |
| dc.subject | Mapping | |
| dc.subject | Spatial distribution | |
| dc.subject | Alien Invasive | |
| dc.subject | Urban Forest | |
| dc.subject | Street Trees | |
| dc.subject | UCTD | |
| dc.subject.other | SDG-11: Sustainable cities and communities | |
| dc.title | A Geospatial Approach to Mapping Jacaranda Tree Distribution in Johannesburg, South Africa | |
| dc.type | Dissertation |