By Karmactive Staff
ETH Zurich's collaboration with ExoLabs has led to an innovative AI-satellite system for precise snow depth measurement.
By Karmactive Staff
Utilizing Sentinel-2 satellite imagery, this system offers unparalleled resolution, enhancing environmental monitoring.
Photo Source: Science Direst
By Karmactive Staff
The AI analyzes terrain data alongside satellite images, improving the accuracy of snow depth estimates.
Photo Source: Science Direst
By Karmactive Staff
This technology is pivotal for hydrology, avalanche risk assessment, and winter sports safety.
Photo Source: Science Direst
By Karmactive Staff
The system represents a significant advance from traditional methods, relying less on ground measurements.
Photo Source: Science Direst
By Karmactive Staff
Fine-tuning involved detailed snow data from the Dischma valley, ensuring comprehensive terrain understanding.
Photo Source: Science Direst
By Karmactive Staff
This method's flexibility and accuracy make it a model for future environmental monitoring techniques globally.
Photo Source: Science Direst
By Karmactive Staff
The AI was trained on diverse datasets, bridging satellite visuals with real-world snow depth measurements.
Photo Source: Science Direst
By Karmactive Staff
ETH Zurich's approach signifies a strategic evolution in environmental data analysis and snow monitoring.
Photo Source: Science Direst
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