EO4NOWCAST Near Real-Time Soil Moisture Assessment and Pluvial Flood Nowcasting - Frontend service
Frontend of EO4NOWCAST Near Real-Time Soil Moisture Assessment and Pluvial Flood Nowcasting services
The EO4NOWCAST sub-project of AI4Copernicus realised and demonstrateed an operational and replicable approach to assess severe weather events and related short-term hazards (nowcasting) built upon the synergy between EO and rainfall monitoring product. EO4NOWCAST is a generalized DSS platform that processes near real-time soil mositure maps and performs a pluvial flood nowcasting service based on the integration between satellite EO products and meteorological data through machine learning models.
This asset provides the frontend web application of EO4NOWCAST and requires its backend service, available at the following link, and the machine learning pipeline service, available at the following link.
The docker container implements the EO4NOWCAST DSS web platform to visualize the products of the near real-time soil moisture and the pluvial flood nowcasting services, available at the following link and accessed through its backend API,available at the following link.
README_0.md contains the instructions to start a web application made up by a Graphical User Interface and a backend service that exposes ReST API to fetch NDMI predictions and flood risk data from projects storage spaces.