E3S Web Conf.
Volume 47, 20182nd Scientific Communication in Fisheries and Marine Sciences (SCiFiMaS 2018)
|Number of page(s)||12|
|Section||Integrated Management of Coastal and Marine Areas and Conservation|
|Published online||01 August 2018|
Classification of shallow water seabed profile based on Landsat 8 imagery and in-situ data. Case study in Gili Matra Island Lombok, Indonesia
Department of Marine Science, Faculty of Fisheries and Marine Science Jenderal Soedirman University, Purwokerto Indonesia
2) Center for Thematics Mapping and Integration, Geospatial Information Agency, Cibinong Indonesia
*1 Corresponding Author: email@example.com
Shallow water seabed profile has considerable potential resources so the availability of information which very important for coastal resources. The use of remote sensing techniques is considered to provide coastal information effective and efficient. This research aimed to determine the shallow water seabed profile based on Landsat 8 Imagery and its accuracy related to the in situ data. Methods of this research are satellite mage pre-processing, image classification, field survey, image classification, and accuracy assesment . Therefore, 6 classification of shallow water seabed profile, there are rubble (R), seagrass mixed sand (MIX -SG/SD), coral reefs mixed rubble (MIX-C/RB), rubble mixed dead coral (MIX-RB/DC), sand mixed rubble (MIX-SD/RB), and sand mixed seagrass (MIX-SD/SG), respectevely. The result of this classification has an accuracy value 80%.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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