Geo Gecko, the Humanitarian OpenStreetMap Team (HOT), ITHACA and MapUganda have teamed up together for this project.
The Uganda Bureau of Statistics (UBOS), the Kampala Capital City Authority, the Office of the Prime Minister of Uganda, Department of Disaster Preparedness and Management.
Workshops and on-site training for central and local government office staff on OSM-related tools, mapping workflows, data collection mobile apps and data models.
Remote and field mapping of key priority areas in Kampala identified by the Government of Uganda, to collect disaster risk management related data and information.
Introduce the use of innovative technology such as Unmanned Aerial Vehicles (UAVs) and street-level photo mapping to local government staff and community members.
Piloting the operational exploitation of UAV technologies to acquire high resolution imagery, leveraging on existing tool for a proper data sharing (e.g. OpenAerialMap).
Significantly increased coverage and accuracy of OSM data in target areas in Kampala
Developed technical capacity of Government of Uganda staff and community member in using open mapping tools
Demonstrated use of innovative imaging technologies for supporting community mapping activities
Showcasing the mapping and analytical power of the data collected
The World Bank is supporting the Government of Uganda to increase resilience against droughts and food insecurity through a Disaster Risk Financing (DRF) program. One goal of this program is to improve access to baseline data and risk related information to quicken the decision making process.
Through OpenDRI projects, open and collaborative data collection is a core part of this approach, heavily leveraging the OpenStreetMap (OSM) open data platform.
In this framework, the Uganda Open Mapping Program is aiming at developing technical capacity at local and national level in the open mapping domain, working on a pilot area in Kampala to test and fine-tune the operational workflows.
The three pillars of the program are:
Under the supervision of the World Bank, a team of local companies (MapUganda and GeoGecko) and international entities (HOT and ITHACA) are working to ensure that the planned activities are successfully carried out and the expected outcomes are met.
Local and national stakeholders (UBOS, KCCA, OPM) are involved since the beginning of the project to provide requirements in terms of features and attributes to be mapped and support the identification of the most suitable target area in Kampala.
Two 2-days training workshops tailored to the specific needs of Government Agencies in terms of OSM, mapping workflows, data collection mobile apps and data models have been successfully held in Kampala, specifically:
Capacity development targeting UBOS needs, including on-site training, advice and support, was carried out in February and March 2018
One of the main goal of the program is to enable the collection and updating - through field and remote mapping - of reference cartographic data as well as disaster risk management information over key priority areas defined of by the Government of Uganda. It has been established to target the Ggaba parish as priority area to be mapped.
The use of innovative technology such as Unmanned Aerial Vehicles (UAVs) and street-level photo mapping has been introduced to local government staff and community members during the two workshops held in Kampala at UBOS and KCCA. This cutting edge technology enables high resolution imagery to be acquired and exploited for detailed OSM mapping. Preparatory actions for UAV surveys, including requesting relevant authorisation and flight planning, are ongoing.
Once the UAV surveys will be completed, the acquired imagery will be processed with the goal to generate geometrically corrected and mosaicked high resolution orthoimagery (pixel size ~ 5 cm). The UAV orthoimagery will be uploaded and shared in OpenAerialMap (OAM) to make it freely and openly accessible and to enable detailed mapping/updating in OSM.
Interactive maps to illustrate the overall mapped area, with statistics of mapping activity (e.g. km of mapped roads, number of buildings, etc).