Comparison study of rugosity modelling resulting from fledermaus, benthic terrain modeler and coral detection model derived from algorithm topographic position index / Muhammad Afiq Rosli

Sea coral reefs are very important and crucial for marine life especially fish as it is their habitat and source o f food. The main purpose o f this study is to create the automated tool in ArcGlS toolbox which is to identify the coral reefs around Pulau Bidong, Terengganu. The data from multibea...

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Main Author:	Rosli, Muhammad Afiq
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Geographic information systems GC Oceanography General. Including nature conservation, geographical distribution Algorithms
Online Access:	http://ir.uitm.edu.my/id/eprint/23280/ http://ir.uitm.edu.my/id/eprint/23280/1/TD_MUHAMMAD%20AFIQ%20ROSLI%20AP%20R%2019.5.PDF

id	uitm-23280
recordtype	eprints
spelling	uitm-232802019-02-27T02:06:22Z http://ir.uitm.edu.my/id/eprint/23280/ Comparison study of rugosity modelling resulting from fledermaus, benthic terrain modeler and coral detection model derived from algorithm topographic position index / Muhammad Afiq Rosli Rosli, Muhammad Afiq Geographic information systems GC Oceanography General. Including nature conservation, geographical distribution Algorithms Sea coral reefs are very important and crucial for marine life especially fish as it is their habitat and source o f food. The main purpose o f this study is to create the automated tool in ArcGlS toolbox which is to identify the coral reefs around Pulau Bidong, Terengganu. The data from multibeam will be processed by insert value the sound velocity profile (SVP), insert tide value and patch test calibration value filtered using QPS Qimera, then get the bathymetry profile. While QPS Fledermaus that will produee by compute rugosity. Rugosity is to differentiate between corals and sand. A l l o f these data then w i l l be exported into ArcGIS for producing Digital Elevation Model (DEM) and make a results and analysis based on QPS Fledermaus model, BTM-Terrain Ruggedness (VRM) model and Coral Detection model. So, the result of this research shows on all three model which is profile detect the rugosity for the area to identify coral reefs. It is show the results given from QPS Fledermaus and Coral Detection of the accuracy is 55% similar o f coral representation, and also the BTM-Terrain Ruggedness (VRM) and Coral Detection of the accuracy is similar 51% o f coral representation. The total area covered by coral reefs based on QPS Fledermaus is 2685.208 m^ and for BTM-Terrain Ruggedness (VRM) is 15914.485 mf So that, the Coral Detection Model can identify more coral reefs area that covered is 19033.338 m^. As a conclusion. Coral Detection tool derived from Topographic Position Index can be used based on similar coral representation to detect coral reefs because the result of shape that show very dense and clear. 2019-02-27 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/23280/1/TD_MUHAMMAD%20AFIQ%20ROSLI%20AP%20R%2019.5.PDF Rosli, Muhammad Afiq (2019) Comparison study of rugosity modelling resulting from fledermaus, benthic terrain modeler and coral detection model derived from algorithm topographic position index / Muhammad Afiq Rosli. Degree thesis, Universiti Teknologi Mara Perlis.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Geographic information systems GC Oceanography General. Including nature conservation, geographical distribution Algorithms
spellingShingle	Geographic information systems GC Oceanography General. Including nature conservation, geographical distribution Algorithms Rosli, Muhammad Afiq Comparison study of rugosity modelling resulting from fledermaus, benthic terrain modeler and coral detection model derived from algorithm topographic position index / Muhammad Afiq Rosli
description	Sea coral reefs are very important and crucial for marine life especially fish as it is their habitat and source o f food. The main purpose o f this study is to create the automated tool in ArcGlS toolbox which is to identify the coral reefs around Pulau Bidong, Terengganu. The data from multibeam will be processed by insert value the sound velocity profile (SVP), insert tide value and patch test calibration value filtered using QPS Qimera, then get the bathymetry profile. While QPS Fledermaus that will produee by compute rugosity. Rugosity is to differentiate between corals and sand. A l l o f these data then w i l l be exported into ArcGIS for producing Digital Elevation Model (DEM) and make a results and analysis based on QPS Fledermaus model, BTM-Terrain Ruggedness (VRM) model and Coral Detection model. So, the result of this research shows on all three model which is profile detect the rugosity for the area to identify coral reefs. It is show the results given from QPS Fledermaus and Coral Detection of the accuracy is 55% similar o f coral representation, and also the BTM-Terrain Ruggedness (VRM) and Coral Detection of the accuracy is similar 51% o f coral representation. The total area covered by coral reefs based on QPS Fledermaus is 2685.208 m^ and for BTM-Terrain Ruggedness (VRM) is 15914.485 mf So that, the Coral Detection Model can identify more coral reefs area that covered is 19033.338 m^. As a conclusion. Coral Detection tool derived from Topographic Position Index can be used based on similar coral representation to detect coral reefs because the result of shape that show very dense and clear.
format	Thesis
author	Rosli, Muhammad Afiq
author_facet	Rosli, Muhammad Afiq
author_sort	Rosli, Muhammad Afiq
title	Comparison study of rugosity modelling resulting from fledermaus, benthic terrain modeler and coral detection model derived from algorithm topographic position index / Muhammad Afiq Rosli
title_short	Comparison study of rugosity modelling resulting from fledermaus, benthic terrain modeler and coral detection model derived from algorithm topographic position index / Muhammad Afiq Rosli
title_full	Comparison study of rugosity modelling resulting from fledermaus, benthic terrain modeler and coral detection model derived from algorithm topographic position index / Muhammad Afiq Rosli
title_fullStr	Comparison study of rugosity modelling resulting from fledermaus, benthic terrain modeler and coral detection model derived from algorithm topographic position index / Muhammad Afiq Rosli
title_full_unstemmed	Comparison study of rugosity modelling resulting from fledermaus, benthic terrain modeler and coral detection model derived from algorithm topographic position index / Muhammad Afiq Rosli
title_sort	comparison study of rugosity modelling resulting from fledermaus, benthic terrain modeler and coral detection model derived from algorithm topographic position index / muhammad afiq rosli
publishDate	2019
url	http://ir.uitm.edu.my/id/eprint/23280/ http://ir.uitm.edu.my/id/eprint/23280/1/TD_MUHAMMAD%20AFIQ%20ROSLI%20AP%20R%2019.5.PDF
first_indexed	2023-09-18T23:10:27Z
last_indexed	2023-09-18T23:10:27Z
_version_	1777418766690287616

Comparison study of rugosity modelling resulting from fledermaus, benthic terrain modeler and coral detection model derived from algorithm topographic position index / Muhammad Afiq Rosli

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