2026-09-03 –, Conference Management Room2
Many African regions face critical geospatial data gaps. This talk shows how open-source tools like QGIS, OpenStreetMap, and open Earth Observation data can generate accessible spatial datasets for environmental monitoring, planning, and sustainable development in data-scarce contexts.
Limited access to reliable and up-to-date geospatial data remains a major challenge across many African countries, affecting environmental monitoring, urban planning, agriculture, and disaster risk management. Proprietary datasets are often costly or unavailable, creating significant barriers for researchers, students, and local institutions.
This presentation explores how open-source geospatial technologies, particularly QGIS, OpenStreetMap (OSM), and open Earth Observation data such as Sentinel imagery, can help bridge the geospatial data gap in data-scarce regions. Drawing from practical experiences in Zimbabwe and academic work in geomatics and remote sensing, the talk demonstrates accessible workflows for spatial data creation, validation, and analysis using fully open-source tools.
The session will highlight the role of community mapping, youth-led geospatial initiatives, and open data ecosystems in improving spatial data availability across the Global South. It will also discuss challenges related to data quality, technical capacity, and digital inequality, while proposing scalable and inclusive open-source solutions.
This talk aligns with the FOSS4G mission by showcasing how open geospatial software and collaborative mapping can support sustainable development, environmental monitoring, and evidence-based decision-making in underserved regions.
QGIS Documentation: https://qgis.org
OpenStreetMap Wiki: https://wiki.openstreetmap.org
Copernicus Open Access Hub (Sentinel Data): https://scihub.copernicus.eu
Open Geospatial Foundation (OSGeo): https://www.osgeo.org
Indicate what is (are) the open source project(s) essential in your talk:QGIS, OpenStreetMap (OSM), GDAL, Python (GeoPandas, Rasterio), Copernicus Sentinel Open Data, CHIRPS rainfall datasets
I make my conference contribution available under the CC BY 4.0 license. The conference contribution comprises the abstract, the text contribution for the conference proceedings, the presentation materials as well as the video recording and live transmission of the presentation:Ruvimbo Doreen Supiya is a Geomatics Engineer and MSc candidate in Geomatics Engineering at the University of Zimbabwe, specializing in GIS, remote sensing, and open geospatial technologies. Her work focuses on environmental monitoring, spatial data analysis, and bridging geospatial data gaps in Africa using open-source tools such as QGIS, Python, and OpenStreetMap. She is passionate about open data, sustainable development, and empowering geospatial communities in data-scarce regions through accessible and collaborative mapping approaches.