The classification methods to be used are Parallelepiped, Maximum Likelihood, and Support Vector Machine. ![]() This research begins with collecting primary data and secondary data, where primary data in the form of radar images include Sentinel-1, ALOS PALSAR, and TerraSAR-X images, while secondary data of palm oil age block data are used as a references derived from plantation agency of Indonesia and high resolution imagery, after that radiometric and geometric corrections, classification and accuracy assessment. ![]() The purpose of this study was to find the best classification algorithm for determining the classification of oil palm plantation area on SAR data.
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