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Synergy between Ocean Variables: Remotely Sensed Surface Temperature and Chlorophyll Concentration Coherence

AuthorsUmbert, Marta ; Guimbard, Sébastien ; Ballabrera-Poy, Joaquim ; Turiel, Antonio
KeywordsRemote sensing
Ocean color
Data fusion
Data merging
Physical oceanography
Singularity analysi
Issue Date3-Apr-2020
PublisherMultidisciplinary Digital Publishing Institute
CitationRemote Sensing 12(7): 1153 (2020)
AbstractThe similarity of mesoscale and submesoscale features observed in different ocean scalars indicates that they undergo some common non-linear processes. As a result of quasi-2D turbulence, complicated patterns of filaments, meanders, and eddies are recognized in remote sensing images. A data fusion method used to improve the quality of one ocean variable using another variable as a template is used here as an extrapolation technique to improve the coverage of daily Aqua MODIS Level-3 chlorophyll maps by using MODIS SST maps as a template. The local correspondence of SST and Chl-a multifractal singularities is granted due to the existence of a common cascade process which makes it possible to use SST data to infer Chl-a concentration where data are lacking. The quality of the inference of Level-4 Chl-a maps is assessed by simulating artificial clouds and comparing reconstructed and original data
DescriptionSpecial Issue Ten Years of Remote Sensing at Barcelona Expert Center.-- 13 pages, 5 figures, 1 table
Publisher version (URL)https://doi.org/10.3390/rs12071153
Identifierse-issn: 2072-4292
Appears in Collections:(ICM) Artículos
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