GDL

Journal from gdlhub / 2018-07-25 16:02:37
Oleh : Alvin Fatikhunnada, Kudang Boro Seminar, Liyantono Liyantono, Mohamad Solahudin, Agus Buono, Telkomnika
Dibuat : 2018-07-25, dengan 1 file

Keyword : Paddy monitoring; spatiotemporal analysis; high-performance computer; optimized solution
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/6876
Sumber pengambilan dokumen : WEB

Spatiotemporal analysis of MODIS Vegetation Index Imagery widely used for vegetation seasonal mapping both on forest and agricultural site. In order to provide long-terms analysis of vegetation characterization maps, a wide time-series images analysis is needed although require high-performance computer which consumes a lot of energy resources. Meanwhile, for agriculture monitoring purpose in Indonesia, this analysis has to be employed gradually and continue to provide the last condition of paddy filed vegetation information. This research is aimed to find the optimized solution to classify the agricultural vegetation of paddy field in Java island. The time-series EVI data from MODIS have been filtered using wavelet transform to reduce noise that caused by cloud. Sequential K-means and Parallel K-means unsupervised classification method were used in both CPU and GPU to find the efficient and the robust result.

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