Monitoring water-related diseases in Africa with remote sensing data and local information

The project aims at monitoring the incidence of water-related diseases like diarrhea in Africa by correlating Remote Sensing (RS) data and local information such as the attendance of students.

To achieve this goal, RS data (hyperspectral) will be collected on catchment areas in Malawi. The RS datasets will be processed to monitor the quality of water according to quality indicators suggested by experts. Maps of water quality will be produced. This information will be correlated with local information coming from local teachers who will be provided with smartphones to send us information about daily disease incidence amongst their students.