Use of SAR Imagery and Artificial Intelligence for a Multi-Components Ocean Monitoring

The use of a single source of data - very high-resolution SAR data from polar earth orbiters - allows the computation of several major environmental parameters over ocean surface: high-resolution winds (with a brand-new method), ship detection, oil spill detection, sea-ice detection. These computations are based both on deterministic and machine learning methods The monitoring of all these parameters is gathered in a single operational Web platform that allows and triggers computation on demand.

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Use of SAR Imagery and Artificial Intelligence for a Multi-Components Ocean Monitoring

Semantic Scholar · Environmental Science · 2020

Abstract

The use of a single source of data - very high-resolution SAR data from polar earth orbiters - allows the computation of several major environmental parameters over ocean surface: high-resolution winds (with a brand-new method), ship detection, oil spill detection, sea-ice detection. These computations are based both on deterministic and machine learning methods The monitoring of all these parameters is gathered in a single operational Web platform that allows and triggers computation on demand.

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