Seagrass Mapping Based on Satellite Image Worldview-2 by Using Depth Invariant Index Method

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. Key words: Seagrass mapping, DII, SVM, Karang Bongkok, Kotok Island.

[1]  S. Phinn,et al.  An integrated field and remote sensing approach for mapping Seagrass Cover, Moreton Bay, Australia , 2009 .

[2]  R. O'Neill,et al.  The value of the world's ecosystem services and natural capital , 1997, Nature.

[3]  V. Vapnik.  Estimation of Dependences Based on Empirical Data , 2006 .

[4]  P. Mumby,et al.  Remote Sensing Handbook for Tropical Coastal Management , 2000 .

[5]  R. Richter,et al.  ATCOR: Atmospheric and Topographic Correction , 2004 .

[6]  PENGARUH PENGAMBILAN TRAINING SAMPLE SUBSTRAT DASAR BERBEDA PADA KOREKSI KOLOM AIR MENGGUNAKAN DATA PENGINDERAAN JAUH (EFFECT OF TRAINING SAMPLE OF DIFFERENT BOTTOM SUBSTRATES ON WATER COLUMN CORRECTION USING REMOTE SENSING DATA) , 2013 .

[7]  Muhammad Anshar Amran,et al.  Estimation of Seagrass Coverage by Depth Invariant Indices on Quickbird Imagery , 2011 .

[8]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[9]  Jungho Im,et al.  ISPRS Journal of Photogrammetry and Remote Sensing , 2022 .

[10]  Stephen A. Bortone,et al.  Seagrasses : monitoring, ecology, physiology, and management , 1999 .

[11]  Robert A. Schowengerdt,et al.  IKONOS Spatial Resolution and Image Interpretability Characterization , 2003 .

[12]  Russell G. Congalton,et al.  Assessing the accuracy of remotely sensed data : principles and practices , 1998 .

[13]  J. Grodecki,et al.  Block Adjustment of High-Resolution Satellite Images Described by Rational Polynomials , 2003 .

[14]  Robert van Woesik,et al.  Coral reef texture classification using support vector machines , 2007, VISAPP.

[15]  C. Wilkinson,et al.  Survey manual for tropical marine resources , 1994 .

[16]  Y. Andriani,et al.  Deteksi Perubahan Padang Lamun Menggunakan Teknologi Penginderaan Jauh Dan Kaitannya Dengan Kemampuan Menyimpan Karbon Di Perairan Teluk Banten , 2012 .

[17]  Kazuo Nadaoka,et al.  Mapping of seagrass and other benthic habitats in Bolinao, Pangasinan using Worldview-2 satellite image , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

[18]  D. Lyzenga.  Passive remote sensing techniques for mapping water depth and bottom features. , 1978, Applied optics.