A new statistical modeling approach to ocean front detection from SST satellite images

Journal of Atmospheric and Oceanic Technology

Volumn 27, Issue 1, 2010, Pages 173-191

  Hopkins, Jo ^a   Challenor, Peter ^a   Shaw, Andrew G P ^a  

^a NATIONAL OCEANOGRAPHY CENTRE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ASSIMILATION; DATA SETS; DETECTION SCHEME; GAUSSIAN KERNEL FUNCTIONS; GLOBAL OCEAN; IN-SITU TECHNIQUES; LIKELIHOOD CROSS-VALIDATION; LOCAL LIKELIHOOD; MEAN TEMPERATURE; MISSING DATA; MODEL OUTPUTS; NON-PARAMETRIC; OCEAN FRONT; SATELLITE IMAGES; SPACE AND TIME; SPATIAL VARIATIONS; STATISTICAL MODELING; STATISTICAL MODELS; TEMPERATURE CHANGES;

REMOTE SENSING;

OCEANOGRAPHY;

ALGORITHM; AVHRR; NUMERICAL MODEL; OCEANIC FRONT; SATELLITE IMAGERY; SEA SURFACE TEMPERATURE; SPATIAL VARIATION; STATISTICAL ANALYSIS;

EID: 77952500381     PISSN: 07390572     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009JTECHO684.1     Document Type: Article

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