Mr. Ariel R. Biagtan Profile

Ariel R. Biagtan

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Proceedings Article | 6 September 2017 Paper

Extraction of inland Nypa fruticans (Nipa Palm) using Support Vector Machine

R. Alberto, S. Serrano, G. Damian, E. Camaso, A. Biagtan, N. Panuyas, J. Quibuyen

Proceedings Volume 10444, 1044406 (2017) https://doi.org/10.1117/12.2277522

KEYWORDS: LIDAR

Read Abstract +

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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