The model was designed for tree-crops semantic-segmentation and created using the AI4Copernicus service: “Deep network for pixel-level classification of S2 patches"
THRUST-4RESST is a multifunctional forest condition assessment tool that is based on AI-aided analytics of time-resolved satellite data
AI-RON MAN Wildfire Hazard Risk Assessment scheduled pipeline to continuously update Thermal Anomalies predictions
AI-RON MAN Wildfire Hazard Risk Assessment web application
Backend service of AI-RON MAN Wildfire Hazard Risk Assessment platform
Frontend of EO4NOWCAST Near Real-Time Soil Moisture Assessment and Pluvial Flood Nowcasting services
Backend of EO4NOWCAST Near Real-Time Soil Moisture Assessment and Pluvial Flood Nowcasting services
- Generation of current Soil Moisture (SM) local maps based on the use of a ML model that processes ground-based precipitation measurements and Normalized Difference Moisture Index (NDMI) processed from the last available Copernicus S2 satellite tile. - ...
This asset contains the notebook of the AI model developed in the EO4NOWCAST project, which allows to estimate a current Soil Moisture Map starting from two inputs: - The most recent NDMI map available from Copernicus - The cumulative rainfall map
This AI model developed in the EO4NOWCAST project allows to estimate a current Soil Moisture Map starting from two inputs: - The most recent NDMI map available from Copernicus - The cumulative rainfall map
This dataset contains a set of samples used in the EO4NOWCAST project to train a ML model to predict current soil moisture map in a Area of Interest (in this case, Genoa basin in Italy). Soil Moisture estimation is a crucial parameter for prediction of fl...
RF & OpenAIS Dashboard to allow users to quickly examine data without the need for custom software packages. This map compares AIS data with satellite-detected RF data.