Satellite data should not be out of reach for the people who will plan Africa\u2019s cities, farms and water. That was the thinking behind an online training on 18 August, when 99 students and researchers from the Department of Spatial Planning at the University of Rwanda were introduced to Digital Earth Africa to explore how Earth observation data can serve their studies and future careers.<\/p>\n\n\n\n
For many beginners, the hardest part of Earth observation is the data itself. Finding the right imagery, processing it and making sense of it alone can stop good questions before they start. Digital Earth Africa provides analysis ready data, satellite imagery already processed and ready to use. The data, computing resources and training materials are free to use. <\/p>\n\n\n\n
The Sandbox took centre stage. This cloud-based workspace lets users access datasets, run workflows and carry out command-based spatial analysis, which makes it especially useful for academic work. The session encouraged beginners to start building these skills now, rather than relying only on conventional software.<\/p>\n\n\n\n
The examples stayed close to home. In agriculture, vegetation indices such as NDVI and EVI, along with phenology-based approaches, were used to follow crop health and seasonal behaviour in Masaka, Nyagahinga, Kabuga and Bugarama in Rwanda. Participants saw how to compare crop performance across fields, spot unusual changes in greenness and track how vegetation responds to rainfall. Long-term NDVI climatology adds another layer, setting current conditions against historical patterns to flag stress that may come from climate, management or the season.<\/p>\n\n\n\n
Water monitoring followed the same practical thread. Workflows covered wetlands, water extent, chlorophyll, suspended matter, turbidity and algal blooms, all useful for conservation and pollution monitoring. In Akagera National Park, an increase in water extent was read as a positive sign of ecosystem recovery.<\/p>\n\n\n\n
For future urban and regional planners, the session turned to cities. Examples from Nairobi, Gahanga and Kigali showed how to track urban expansion, changes in built-up areas, green space and temperature trends over time. Climate datasets on rainfall, land surface temperature and wind sat alongside Sentinel-5P data on ozone, carbon monoxide, nitrogen dioxide, formaldehyde and the UV aerosol index, extending the toolkit into air quality.<\/p>\n\n\n\n
What stood out from the discussion was what students are looking for, a platform that is both educational and practically useful. For future planners who will shape decisions on land, water and cities, open Earth observation data is a practical place to begin.<\/p>\n\n\n\n