Asset Type
Docker container
AI-RON MAN Wildfire Hazard Risk Assessment - Pipeline
AI-RON MAN Wildfire Hazard Risk Assessment scheduled pipeline to continuously update Thermal Anomalies predictions
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Asset Type
Docker container
Geoskop - ESFA: Time Series Forecaster component
Discover one of the breakthrough achievements of the ESFA project, a pioneer project in the field of Artificial Intelligence applied to Climate Prediction. Leveraging Geoskop’s revolutionary AI algorithms, housed in a Docker image, we provide unprecedente...
Asset Type
Docker container
AI-RON MAN Wildfire Hazard Risk Assessment - Webapp
AI-RON MAN Wildfire Hazard Risk Assessment web application
Asset Type
Docker container
AI-RON MAN Wildfire Hazard Risk Assessment - Backend service
Backend service of AI-RON MAN Wildfire Hazard Risk Assessment platform
Asset Type
Docker container
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
Asset Type
Docker container
EO4NOWCAST Near Real-Time Soil Moisture Assessment and Pluvial Flood Nowcasting - Backend service
Backend of EO4NOWCAST Near Real-Time Soil Moisture Assessment and Pluvial Flood Nowcasting services
Asset Type
Docker container
EO4NOWCAST Near Real-Time Soil Moisture Assessment and Pluvial Flood Nowcasting - Pipeline
- 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. - ...
Asset Type
Docker container
Deep Network for pixel-level classification of S2 patches
A Docker service to train segmentation models for Sentinel 2 patches.
Fraunhofer, COCO image database
Asset Type
Docker container
Object Detection
Detection of physical objects in still images or videos
Asset Type
Docker container
Forecasting faulty periods in Solar Photovoltaic system
Reducing errors in forecasting faulty PV performance by stacking deep neural networks