Drone flights enable studying any aggregations of waste/informal dumps that are on the banks of the waterways within fifty metres of its bank on either side. Such data is presented as three-dimensional imagery of waste aggregations, further assisting the study team to estimate rough waste volumes.
Drone flights consistently track and record spatial data relating to their own trips and correspond the GIS data with a set of other socio-political and economic indicators, to ease further analysis. This includes
OMDTZ combined drone flights and the existing spatial data to conduct a rapid desktop analysis of planned residential and commercial zoning and transport economics as they relate to solid waste management services. Specifically, the spatial analysis allowed the team to quickly present:
Datasets provided audiences with vital data on the inequality of solid waste management infrastructure by geography, as well as providing service providers and government with valuable data on what types of transport modes can be employed to service residents and businesses in planned and unplanned geographies of the city.
Thereafter, OpenDataKit (ODK) Collect, Kobo Toolbox, and QGIS training were provided to Nipe Fagio staff. OMDTZ provided in-depth training on how to upload, analyze, and present visual data relating to waste hotpots, informal dumps, and cleaning activities.
OMDTZ in collaboration with i4ID also conducted training to ilala municipality on how they can make use of these data towards a clean city.
The project was implemented between March to June 2019
The project was funded by the Palladium Group and implemented by OMDTZ and Uhuru Labs, while the primary beneficiaries of the project were Nipe Fagio and i4ID
Provided datasets that will support city waste management including trash collection
Created the best routes to transport detected piles of waste to the main dumping site, and clearly show the inequality in waste management basing on geographical locations and infrastructure gap