SEBUAH ALGORITMA POHON KEPUTUSAN UNTUK KLASIFIKASI CITRA SATELIT AQUA MODIS
Abstract: The satellite image
processing for the environmental eksploration requires data accuracy which
implied in every pixel of image so that required an appropriate technique of
classification. The suitable classification is decition tree classification
technique. Research about decition tree classification for classification data
of satellite image have done and also research about Aqua MODIS satellite image
processing for environmental exploration, but the decition tree classification
technique is not developed yet for the classification of Aqua MODIS satellite
data image. In this research, an algorithm decition tree classification method
for data processing of Aqua MODIS satellite image to determine sea surface
temperature classification is developed. A case study conducted at territorial
Moluccas waters. The result of this research show that mean of accuration data
classification of sea surface temperature is 97.6%
Penulis: Rina Luciane
Manuhutu, Riana Debora Hutagalung
Kode Jurnal: jptkomputerdd100036