Mangroves are considered as one of the major habitats in coastal ecosystem, providing a lot of economic and
ecological services in human society. Nypa fruticans (Nipa palm) is one of the important species of mangroves
because of its versatility and uniqueness as halophytic palm. However, nipas are not only adaptable in saline
areas, they can also managed to thrive away from the coastline depending on the favorable soil types available
in the area. Because of this, mapping of this species are not limited alone in the near shore areas, but in areas
where this species are present as well. The extraction process of Nypa fruticans were carried out using the
available LiDAR data. Support Vector Machine (SVM) classification process was used to extract nipas in inland
areas. The SVM classification process in mapping Nypa fruticans produced high accuracy of 95+%. The
Support Vector Machine classification process to extract inland nipas was proven to be effective by utilizing
different terrain derivatives from LiDAR data.
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