Assessment effect of rainfall on sedimentation at watershed area using remote sensing / Nor Yusriyah Abdul Ghani

Rainfall and sediment movement are important for knowing how watersheds work, especially in terms of sediment levels and water quality. Muda Dam, located in northern Peninsular Malaysia, serves as freshwater storage for water supply. The dam's catchment area is mostly covered by natural forest...

Full description

Saved in:
Bibliographic Details
Main Author: Abdul Ghani, Nor Yusriyah
Format: Student Project
Language:English
Published: 2024
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/109240/1/109240.pdf
https://ir.uitm.edu.my/id/eprint/109240/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.109240
record_format eprints
spelling my.uitm.ir.1092402025-03-23T18:18:32Z https://ir.uitm.edu.my/id/eprint/109240/ Assessment effect of rainfall on sedimentation at watershed area using remote sensing / Nor Yusriyah Abdul Ghani Abdul Ghani, Nor Yusriyah Remote Sensing Rainfall and sediment movement are important for knowing how watersheds work, especially in terms of sediment levels and water quality. Muda Dam, located in northern Peninsular Malaysia, serves as freshwater storage for water supply. The dam's catchment area is mostly covered by natural forest and has recently seen increased logging activity. This study investigates sedimentation and land cover changes in the watershed using remote sensing techniques, specifically the Normalized Difference Suspended Sediment Index (NDSSI) and Normalized Difference Vegetation Index (NDVI) derived from Sentinel-2 images. The goal is to understand how rainfall patterns and land cover changes influence sediment movement in the watershed. The research has three objectives which are to identify monthly rainfall data for 2018 and 2023, to analyze sediment and land cover changes using Sentinel-2 images, and to determine the correlation of rainfall and land cover changes using NDVI method on sedimentation at watershed area. Correlation analysis for 2018 and 2023 reveals a significant positive relationship between rainfall and NDVI on sedimentation, with values ranging from 0.4 to 0.8. This study concludes that rainfall has a significant impact on sedimentation, demonstrated by the strong positive relationship between rainfall and sediment levels. 2024 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/109240/1/109240.pdf Assessment effect of rainfall on sedimentation at watershed area using remote sensing / Nor Yusriyah Abdul Ghani. (2024) [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 Remote Sensing
spellingShingle Remote Sensing
Abdul Ghani, Nor Yusriyah
Assessment effect of rainfall on sedimentation at watershed area using remote sensing / Nor Yusriyah Abdul Ghani
description Rainfall and sediment movement are important for knowing how watersheds work, especially in terms of sediment levels and water quality. Muda Dam, located in northern Peninsular Malaysia, serves as freshwater storage for water supply. The dam's catchment area is mostly covered by natural forest and has recently seen increased logging activity. This study investigates sedimentation and land cover changes in the watershed using remote sensing techniques, specifically the Normalized Difference Suspended Sediment Index (NDSSI) and Normalized Difference Vegetation Index (NDVI) derived from Sentinel-2 images. The goal is to understand how rainfall patterns and land cover changes influence sediment movement in the watershed. The research has three objectives which are to identify monthly rainfall data for 2018 and 2023, to analyze sediment and land cover changes using Sentinel-2 images, and to determine the correlation of rainfall and land cover changes using NDVI method on sedimentation at watershed area. Correlation analysis for 2018 and 2023 reveals a significant positive relationship between rainfall and NDVI on sedimentation, with values ranging from 0.4 to 0.8. This study concludes that rainfall has a significant impact on sedimentation, demonstrated by the strong positive relationship between rainfall and sediment levels.
format Student Project
author Abdul Ghani, Nor Yusriyah
author_facet Abdul Ghani, Nor Yusriyah
author_sort Abdul Ghani, Nor Yusriyah
title Assessment effect of rainfall on sedimentation at watershed area using remote sensing / Nor Yusriyah Abdul Ghani
title_short Assessment effect of rainfall on sedimentation at watershed area using remote sensing / Nor Yusriyah Abdul Ghani
title_full Assessment effect of rainfall on sedimentation at watershed area using remote sensing / Nor Yusriyah Abdul Ghani
title_fullStr Assessment effect of rainfall on sedimentation at watershed area using remote sensing / Nor Yusriyah Abdul Ghani
title_full_unstemmed Assessment effect of rainfall on sedimentation at watershed area using remote sensing / Nor Yusriyah Abdul Ghani
title_sort assessment effect of rainfall on sedimentation at watershed area using remote sensing / nor yusriyah abdul ghani
publishDate 2024
url https://ir.uitm.edu.my/id/eprint/109240/1/109240.pdf
https://ir.uitm.edu.my/id/eprint/109240/
_version_ 1827446791342129152
score 13.250246