Discrimination of water surfaces, heavy rainfall, and wet snow using COSMO-SkyMed observations of severe weather events

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 2, 2014, Pages 858-869

  Pulvirenti, Luca ^a   Marzano, Frank Silvio ^a   Pierdicca, Nazzareno ^a   Mori, Saverio ^a   Chini, Marco ^b  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b LUXEMBOURG INSTITUTE OF SCIENCE AND TECHNOLOGY   (Luxembourg)

Author keywords

COSMO SkyMed; Floods; Heavy rain; Snow; Synthetic aperture radar (SAR)

Indexed keywords

ALGORITHMS; FLOODS; FUZZY LOGIC; GEOMETRICAL OPTICS; METEOROLOGICAL RADAR; RAIN; SNOW; WEATHER FORECASTING; WEATHER INFORMATION SERVICES;

CLASSIFICATION MAPS; COSMO-SKYMED; HEAVY RAINS; NUMERICAL WEATHER PREDICTION MODELS; SATELLITE APPLICATION FACILITIES; SEGMENTATION TECHNIQUES; SEVERE WEATHER EVENTS; X-BAND SYNTHETIC APERTURE RADARS;

SYNTHETIC APERTURE RADAR;

ALGORITHM; BACKSCATTER; CLIMATE CLASSIFICATION; CLIMATE MODELING; COSMO-SKYMED; FUZZY MATHEMATICS; IMAGE CLASSIFICATION; RAINFALL; SATELLITE IMAGERY; SYNTHETIC APERTURE RADAR;

ITALY;

EID: 84898599945     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2013.2244606     Document Type: Article

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