Anomalies in remotely sensed vegetation phenology using a parallel tool for principal components analysis

Procedia Computer Science

Volumn 18, Issue , 2013, Pages 2396-2405

  Mills, Richard Tran ^a,b   Kumar, Jitendra ^a   Hoffman, Forrest M ^a,c   Hargrove, William W ^d   Spruce, Joseph P ^e   Norman, Steven P ^d  

^a OAK RIDGE NATIONAL LABORATORY   (United States)

^b UNIVERSITY OF TENNESSEE   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d USDA FOREST SERVICE   (United States)

^e STENNIS SPACE CENTER   (United States)

Author keywords

Anomaly detection; Data mining; High performance computing; MODIS; NDVI; Parallel computing; Phenology; Principal components analysis; Remote sensing; Singular value decomposition

Indexed keywords

EID: 84897011105     PISSN: 18770509     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2013.05.411     Document Type: Conference Paper

References (13)

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