# Explainable SAR Measurements for Wind Assessment with Artificial Intelligence (ESAWAAI)
The **Explainable SAR Measurements for Wind Assessment with Artificial Intelligence (ESAWAAI)** project, funded by the **European Space Agency (ESA) Phi-Lab**, is dedicated to advancing the retrieval of sea surface wind fields using a diverse set of observables derived from multi-polarization **Single-Look Complex (SLC) Synthetic Aperture Radar (SAR)** data, with a primary focus on **Sentinel-1** sensors. By integrating advanced SAR processing techniques with **Artificial Intelligence (AI)** and **Explainable AI (XAI)** methodologies, the project is developing a comprehensive legacy dataset to support both data-driven and physics-informed **Deep Learning (DL)** models for wind estimation.
A central objective of ESAWAAI is to enhance the interpretability of the **Geophysical Model F…
