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Effect of water column on water depth derived from unmanned aerial vehicle multispectral image

The term water depth refers to the depth of the water body relative to the level of the water surface. In the remote sensing approach, water depth is determined using indirect methods that retrieve the bottom level of the water body without physically touching it. In the context of satellite imaging...

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Main Author: Ab. Saman, Muhammad Hafiz
Format: Thesis
Language:English
Published: 2022
Subjects:
G Geography (General)
NA Architecture
Online Access:http://eprints.utm.my/id/eprint/99805/1/MuhammadHafizAbMFABU2022.pdf
http://eprints.utm.my/id/eprint/99805/
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spelling my.utm.998052023-03-19T11:07:42Z http://eprints.utm.my/id/eprint/99805/ Effect of water column on water depth derived from unmanned aerial vehicle multispectral image Ab. Saman, Muhammad Hafiz G Geography (General) NA Architecture The term water depth refers to the depth of the water body relative to the level of the water surface. In the remote sensing approach, water depth is determined using indirect methods that retrieve the bottom level of the water body without physically touching it. In the context of satellite imaging, water depths were mapped by using two radiative transfer models, namely Depth Invariance Index (DII) and Bottom Reflectance Index (BRI). However, the estimation of water depth by using airborne and satellite-borne pose error of water column. The water depth mapping by using UAV was recently conducted through the Structure from Motion (SFM). Therefore, this study presented the effects of water column correction on the multispectral Unmanned Aerial Vehicle (UAV) image to derive water depth. The following objectives were realised, firstly to retrieve the water-leaving radiance from all target points of different depths; secondly to model the water depth by applying the radiative transfer model to water-leaving radiance and; thirdly to determine and assess the effects of the water column on depths derived from UAV image. A total of six different sets of targets which consisted of forty four different depths had been deployed at Universiti Teknologi Malaysia’s swimming pool. DII and BRI radiative transfer models were used to minimise the column error on the imagery. The results showed that both radiative transfer models produced lower accuracy than direct modelling with water column correction. The best depth modelled was obtained by using log regression with band 1, which reported an accuracy of 0.042m, compared to the images corrected with BRI and DII with 0.162m and 0.128m, respectively. In conclusion, the outcomes of this study should serve as a basis for enhancing water column effect on depth estimation by using UAV multispectral image, hence, proof beneficial to assist the application of data in coastal monitoring. 2022 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/99805/1/MuhammadHafizAbMFABU2022.pdf Ab. Saman, Muhammad Hafiz (2022) Effect of water column on water depth derived from unmanned aerial vehicle multispectral image. Masters thesis, Universiti Teknologi Malaysia, Faculty of Built Environment & Surveying. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:150048
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic G Geography (General)
NA Architecture
spellingShingle G Geography (General)
NA Architecture
Ab. Saman, Muhammad Hafiz
Effect of water column on water depth derived from unmanned aerial vehicle multispectral image
description The term water depth refers to the depth of the water body relative to the level of the water surface. In the remote sensing approach, water depth is determined using indirect methods that retrieve the bottom level of the water body without physically touching it. In the context of satellite imaging, water depths were mapped by using two radiative transfer models, namely Depth Invariance Index (DII) and Bottom Reflectance Index (BRI). However, the estimation of water depth by using airborne and satellite-borne pose error of water column. The water depth mapping by using UAV was recently conducted through the Structure from Motion (SFM). Therefore, this study presented the effects of water column correction on the multispectral Unmanned Aerial Vehicle (UAV) image to derive water depth. The following objectives were realised, firstly to retrieve the water-leaving radiance from all target points of different depths; secondly to model the water depth by applying the radiative transfer model to water-leaving radiance and; thirdly to determine and assess the effects of the water column on depths derived from UAV image. A total of six different sets of targets which consisted of forty four different depths had been deployed at Universiti Teknologi Malaysia’s swimming pool. DII and BRI radiative transfer models were used to minimise the column error on the imagery. The results showed that both radiative transfer models produced lower accuracy than direct modelling with water column correction. The best depth modelled was obtained by using log regression with band 1, which reported an accuracy of 0.042m, compared to the images corrected with BRI and DII with 0.162m and 0.128m, respectively. In conclusion, the outcomes of this study should serve as a basis for enhancing water column effect on depth estimation by using UAV multispectral image, hence, proof beneficial to assist the application of data in coastal monitoring.
format Thesis
author Ab. Saman, Muhammad Hafiz
author_facet Ab. Saman, Muhammad Hafiz
author_sort Ab. Saman, Muhammad Hafiz
title Effect of water column on water depth derived from unmanned aerial vehicle multispectral image
title_short Effect of water column on water depth derived from unmanned aerial vehicle multispectral image
title_full Effect of water column on water depth derived from unmanned aerial vehicle multispectral image
title_fullStr Effect of water column on water depth derived from unmanned aerial vehicle multispectral image
title_full_unstemmed Effect of water column on water depth derived from unmanned aerial vehicle multispectral image
title_sort effect of water column on water depth derived from unmanned aerial vehicle multispectral image
publishDate 2022
url http://eprints.utm.my/id/eprint/99805/1/MuhammadHafizAbMFABU2022.pdf
http://eprints.utm.my/id/eprint/99805/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:150048
_version_ 1761616379095547904
score 13.211869

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