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The effect of slope in multibeam backscatter classification map / Muhammad Haziq Amzar Juhari

Recent advancements have led to a surge in the use of Multibeam Echo Sounder Systems (MBES) to harness backscatter data for creating seabed sediment classification maps. One critical aspect of this research has been examining the impact of different slope resolutions on these maps, which necessitate...

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Main Author: Juhari, Muhammad Haziq Amzar
Format: Student Project
Language:English
Published: 2023
Subjects:
Geomatics
Online Access:https://ir.uitm.edu.my/id/eprint/87880/1/87880.pdf
https://ir.uitm.edu.my/id/eprint/87880/
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spelling my.uitm.ir.878802023-12-09T15:20:28Z https://ir.uitm.edu.my/id/eprint/87880/ The effect of slope in multibeam backscatter classification map / Muhammad Haziq Amzar Juhari Juhari, Muhammad Haziq Amzar Geomatics Recent advancements have led to a surge in the use of Multibeam Echo Sounder Systems (MBES) to harness backscatter data for creating seabed sediment classification maps. One critical aspect of this research has been examining the impact of different slope resolutions on these maps, which necessitates the effective derivation of seabed slope to ensure accurate backscatter readings. This study delves into the influence of slope resolution on seabed sediment characterization, focusing on its impact on the classification map's accuracy. Using a dataset composed of backscatter, bathymetry, and slope derivative, this study employed a supervised Random Tree Classification to generate a sediment classification map. The classification's accuracy was evaluated using user accuracy, overall accuracy, and kappa accuracy metrics. Computed the seafloor slope for bathymetric grids at varying resolutions (0.5m, 1m, 2m) and assessed the impact of grid cell size on slope values across. Notably that a lower standard deviation at each resolution contributed to more consistent and stable datasets. Conversely, larger grid cell sizes led to a decrease in slope values, reducing the detail and information yielded from slope estimates. Particularly, the standard deviation of slope values for a 0.5m grid cell size, in smooth and rough areas, outpaced those for 1m and 2m cell sizes. The correlation analysis between backscatter strength and slope gradient reveals significant differences across the three sediment types. The strongest relationship is observed in clay, followed by silt, and sand has the weakest relationship. The kappa accuracies for the sediment classification maps were 0.198 for 0.5m, 0.177 for 1m, and 0.173 for 2m resolutions. For overall accuracy, 0.5 m produce 0.47917, 1 m is 0.47917 and 2 m is 0.51042. This data suggests that smaller grid cell sizes foster higher accuracy classification maps, confirming the potential for seabed sediment characterization based on diverse resolutions of MBES measurements 2023-08 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/87880/1/87880.pdf The effect of slope in multibeam backscatter classification map / Muhammad Haziq Amzar Juhari. (2023) [Student Project] (Submitted)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Geomatics
spellingShingle Geomatics
Juhari, Muhammad Haziq Amzar
The effect of slope in multibeam backscatter classification map / Muhammad Haziq Amzar Juhari
description Recent advancements have led to a surge in the use of Multibeam Echo Sounder Systems (MBES) to harness backscatter data for creating seabed sediment classification maps. One critical aspect of this research has been examining the impact of different slope resolutions on these maps, which necessitates the effective derivation of seabed slope to ensure accurate backscatter readings. This study delves into the influence of slope resolution on seabed sediment characterization, focusing on its impact on the classification map's accuracy. Using a dataset composed of backscatter, bathymetry, and slope derivative, this study employed a supervised Random Tree Classification to generate a sediment classification map. The classification's accuracy was evaluated using user accuracy, overall accuracy, and kappa accuracy metrics. Computed the seafloor slope for bathymetric grids at varying resolutions (0.5m, 1m, 2m) and assessed the impact of grid cell size on slope values across. Notably that a lower standard deviation at each resolution contributed to more consistent and stable datasets. Conversely, larger grid cell sizes led to a decrease in slope values, reducing the detail and information yielded from slope estimates. Particularly, the standard deviation of slope values for a 0.5m grid cell size, in smooth and rough areas, outpaced those for 1m and 2m cell sizes. The correlation analysis between backscatter strength and slope gradient reveals significant differences across the three sediment types. The strongest relationship is observed in clay, followed by silt, and sand has the weakest relationship. The kappa accuracies for the sediment classification maps were 0.198 for 0.5m, 0.177 for 1m, and 0.173 for 2m resolutions. For overall accuracy, 0.5 m produce 0.47917, 1 m is 0.47917 and 2 m is 0.51042. This data suggests that smaller grid cell sizes foster higher accuracy classification maps, confirming the potential for seabed sediment characterization based on diverse resolutions of MBES measurements
format Student Project
author Juhari, Muhammad Haziq Amzar
author_facet Juhari, Muhammad Haziq Amzar
author_sort Juhari, Muhammad Haziq Amzar
title The effect of slope in multibeam backscatter classification map / Muhammad Haziq Amzar Juhari
title_short The effect of slope in multibeam backscatter classification map / Muhammad Haziq Amzar Juhari
title_full The effect of slope in multibeam backscatter classification map / Muhammad Haziq Amzar Juhari
title_fullStr The effect of slope in multibeam backscatter classification map / Muhammad Haziq Amzar Juhari
title_full_unstemmed The effect of slope in multibeam backscatter classification map / Muhammad Haziq Amzar Juhari
title_sort effect of slope in multibeam backscatter classification map / muhammad haziq amzar juhari
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/87880/1/87880.pdf
https://ir.uitm.edu.my/id/eprint/87880/
_version_ 1787139557708267520
score 13.211869

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