Microwave Satellite Measurements for Coastal Area and Extreme Weather Monitoring

被引:7
|
作者
Nunziata, Ferdinando [1 ]
Li, Xiaofeng [2 ]
Marino, Armando [3 ]
Shao, Weizeng [4 ]
Portabella, Marcos [5 ]
Yang, Xiaofeng [6 ]
Buono, Andrea [1 ]
机构
[1] Parthenope Univ Naples, Engn Dept, I-80143 Naples, Italy
[2] Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China
[3] Univ Stirling, Dept Biol & Environm Sci, Stirling FK9 4LA, Scotland
[4] Zhejiang Ocean Univ, Coll Marine Sci & Technol, Zhoushan 316000, Peoples R China
[5] CSIC, Dept Phys Oceanog, Inst Marine Sci, Barcelona 08003, Spain
[6] Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
关键词
microwave satellites; multipolarization; multifrequency; oceans; coastal areas; coastline; sea wind field; ocean pollution; ships; WIND; MODEL; MORPHOLOGY; CYCLONE;
D O I
10.3390/rs13163126
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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.
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页数:21
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