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Microwave Satellite Measurements for Coastal Area and Extreme Weather Monitoring

Remote Sensing 2021 28 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Ferdinando Nunziata, Armando Marino, Armando Marino, Armando Marino, Xiaofeng Li, Armando Marino, Armando Marino, Armando Marino, Xiaofeng Li, Weizeng Shao, Ferdinando Nunziata, Ferdinando Nunziata, Marcos Portabella Xiaofeng Yang, Ferdinando Nunziata, Andrea Buono, Marcos Portabella

Summary

This project report presents outcomes from the Sino-European Dragon-4 cooperation on using microwave satellite measurements to monitor coastal areas and extreme weather, strengthening research collaboration between China and Europe in remote sensing applications.

In this project report, the main outcomes relevant to the Sino-European Dragon-4 cooperation project ID 32235 “Microwave satellite measurements for coastal area and extreme weather monitoring” are reported. The project aimed at strengthening the Sino-European research cooperation in the exploitation of European Space Agency, Chinese and third-party mission Earth Observation (EO) microwave satellite data. The latter were exploited to perform an effective monitoring of coastal areas, even under extreme weather conditions. An integrated multifrequency/polarization approach based on complementary microwave sensors (e.g., Synthetic Aperture Radar, scatterometer, radiometer), together with ancillary information coming from independent sources, i.e., optical imagery, numerical simulations and ground measurements, was designed. In this framework, several tasks were addressed including marine target detection, sea pollution, sea surface wind estimation and coastline extraction/classification. The main outcomes are both theoretical (i.e., new models and algorithms were developed) and applicative (i.e., user-friendly maps were provided to the end-user community of coastal area management according to smart processing of remotely sensed data). The scientific relevance consists in the development of new algorithms, the effectiveness and robustness of which were verified on actual microwave measurements, and the improvement of existing methodologies to deal with challenging test cases.

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