Open AccessBenthic habitat classification using high resolution satellite imagery in Sebaru Besar Island, Kepulauan Seribu
Author(s) -
Vincentius P. Siregar,
Syamsul Bahri Agus,
Adriani Sunuddin,
Riza Aitiando Pasaribu,
Muhammad Siddiq Sangadji,
Ayub Sugara,
Esty Kurniawati
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/429/1/012040
Subject(s) - benthic zone , benthic habitat , habitat , multispectral image , remote sensing , satellite imagery , cartography , multispectral pattern recognition , geography , waves and shallow water , statistic , environmental science , geology , ecology , oceanography , mathematics , biology , statistics
Remote sensing technology can provide spatial information for mapping shallow water benthic habitat, a case study conducted on Sebaru Besar Island. The purpose of this study was to analyze mapping accuracy of shallow water benthic habitats usings WorldView 2 and SPOT 6 (201 imageries). The classification of multispectral images is carried out using the Depth Invariant Index (DII) transformation and by applying the Maximum Likelihood (MLH) algorithm to both satellite images. The number of benthic habitat classes produced are eight habitat classes from each image used. The results of the analysis show that the overall accuracy in Worldview 2 and SPOT 6 images is 61.29% and 51.61%. Results of Z-statistic comparison between Worldview-2 and SPOT-6 imagery was 1,04, means that the results did not differ significantly.