Case Study: Research Institute of Geo-Hydrological Protection improves flood forecasting with SkyWatch Earth observation data

Improving flood forecasting with Earth observation data

The Research Institute of Geo-Hydrological Protection (IRPI), a branch of Italy’s National Research Council, is dedicated to forecasting and mitigating water-related natural hazards. To improve the accuracy of its hydrological models, the institute required more precise data on key variables like rainfall and river discharge. They partnered with SkyWatch to incorporate its EarthCache program for accessing Earth observation data into their forecasting systems.

SkyWatch provided the Earth observation data that enabled IRPI researchers to develop innovative new models. The SM2RAIN algorithm, which uses satellite soil moisture measurements to derive precipitation data, significantly improved the accuracy of flood forecasts and reduced uncertainty for stakeholders. A new river discharge model also allowed for accurate predictions up to five days in advance. The use of SkyWatch's data has been pivotal in enhancing the institute's predictive capabilities.