Microwave Satellite Measurements for Coastal Area and Extreme Weather Monitoring

Remote Sensing

卷:13

Weizeng Shao¹  Armando Marino²  Marcos Portabella³  Ferdinando Nunziata⁴  Andrea Buono⁴  Xiaofeng Li⁵  Xiaofeng Yang⁶ 

[1] College of Marine Science and Technology, Zhejiang Ocean University, Zhoushan 316000, China;

[2] Department of Biological and Environmental Sciences, University of Stirling, Stirling FK9 4LA, UK;

[3] Department of Physical Oceanography, Institute of Marine Sciences, CSIC, 08003 Barcelona, Spain;

[4] Engineering Department, Parthenope University of Naples, 80143 Naples, Italy;

[5] Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Qingdao 266071, China;

[6] State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Beijing 100101, China;

关键词: microwave satellites;    multipolarization;    multifrequency;    oceans;    coastal areas;    coastline;   

DOI  :  10.3390/rs13163126

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown