Real World Examples¶
More complex workflows demonstrating how DE Africa can be used to address real-world problems.
- Burnt area mapping using Sentinel-2 data
- Monitoring change through time using satellite imagery filmstrip plots
- Monitoring chlorophyll-a in African waterbodies
- Monitoring coastal erosion along Africa’s coastline
- Measuring crop health
- Exporting high quality satellite images
- Forecasting cropland vegetation condition
- Modelling intertidal elevation using tidal data
- Identifying active irrigated cropping
- Machine learning with the Open Data Cube
- Monitoring Mangrove Extents
- Vegetation Phenology
- Radar vegetation phenology using Sentinel-1
- Urban area mapping using Sentinel 1 data
- Water detection with Sentinel-1
- Rainfall anomalies from Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS)
- Identifying ships with Sentinel-1
- Timeseries analysis of temperature
- Detecting change in urban extent
- Urbanization Index Comparisons with Global Human Settlement (GHS)
- Monthly vegetation condition anomalies
- Vegetation Change Detection
- Mapping longer-term changes in water extent with WOfS
- Determining seasonal extent of waterbodies with Sentinel-2
- Monitoring Water Quality
- Turbidity in wetlands
- Wetlands Insight Tool
- Scalable Supervised Machine Learning
These notebooks can also be found in your home folder on the sandbox, or accessed from GitHub at: