Seagrass Mapping Based on Satellite Image Worldview-2 by Using Depth Invariant Index Method
Abstract: Seagrass has an
important role in coastal areas, so it’s sustainability need to be maintained.
One effort to preserve it is sustainable manner management of segrass based on
the spatial data using remote sensing techniques. The aim of this study was to
map seagrass ecosystems and to determining the accuracy level from
classification results that obtained by the WorldView-2 images. This study was
conducted in Karang Bongkok and Kotok Islands in August 2014 and March 2015.
The satellite images data used on this study was WorldView-2 satellite images
at the acquisition date of October 5, 2013. The method used to conduct image
processing data is Depth Invariant Index (DII) using Support Vector Machine
(SVM) classification. The result shows that seagrass mapping in Karang Bongkok
and Kotok Islands using DII transformation has 19.5112 ha areas with 72%
accuracy on Karang Bongkok Island and 2.5704 ha areas with of 83% accuracy on
Kotok Island.
Author: Agnestesya Manuputty,
Jonson Lumban Gaol, Syamsul Bahri Agus
Journal Code: jpperikanangg160014
