After the presentation of the first SDGs-EYES pilot results in the webinar “Exploiting Earth Observation (EO) capabilities to address SDGs indicators for the safety and security of the citizens” and at the International Geoscience and Remote Sensing Symposium (IGARSS) with the paper “Development of a methodology to calculate an SDG indicator relevant for security applications using EO data”, SatCen is working on the Second Implementation Cycle to estimate the SDGs indicator “Number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 population”.
The indicator currently implements a Machine Learning model based on the use of EO and collateral data in the Sahel region and it is able to estimate the number of buildings and people affected by floods, selecting a specific location and a date where a flooding event is happening.
In the next phase, the model will be refined (in terms of input, accuracy and Areas of Interest), additional hazards (e.g. droughts) and a Graphical User Interface (GUI) will be developed in addition to the Jupyter Notebook.