Reference : Outlier detection in satellite data using spatial coherence
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
http://hdl.handle.net/2268/112582
Outlier detection in satellite data using spatial coherence
English
Alvera Azcarate, Aïda mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Sirjacobs, Damien mailto [Université de Liège - ULg > Département des sciences de la vie > Phylogénomique des eucaryotes >]
Barth, Alexander mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Beckers, Jean-Marie mailto [Université de Liège - ULg > Département d'astrophysique, géophysique et océanographie (AGO) > GHER > >]
2012
Remote Sensing of Environment
Elsevier Science
119
84-91
Yes (verified by ORBi)
International
0034-4257
[en] Outlier detection ; Satellite Data ; Empirical Orthogonal Functions ; Sea Surface Temperature ; Chlorophyll-a concentration
[en] Satellite data sets often contain outliers (i.e., anomalous values with respect to the surrounding pixels), mostly
due to undetected clouds and rain or to atmospheric and land contamination. A methodology to detect outliers
in satellite data sets is presented. The approach uses a truncated Empirical Orthogonal Function (EOF) basis.
The information rejected by this EOF basis is used to identify suspect data. A proximity test and a local median
test are also performed, and a weighted sum of these three tests is used to accurately detect outliers in a data
set. Most satellite data undergo automated quality-check analyses. The approach presented exploits the spatial
coherence of the geophysical fields, therefore detecting outliers that would otherwise pass such checks.
The methodology is applied to infrared sea surface temperature (SST), microwave SST and chlorophyll-a concentration data over different domains, to show the applicability of the technique to a range of variables and
temporal and spatial scales. A series of sensitivity tests and validation with independent data are also
conducted.
Centre Interfacultaire de Recherches en Océanologie - MARE
Politique Scientifique Fédérale (Belgique) = Belgian Federal Science Policy ; Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS
HiSea, Geocolour
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/112582
10.1016/j.rse.2011.12.009
http://www.sciencedirect.com/science/article/pii/S0034425711004469

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