Application of UAV in shoreline detection
Shoreline is defined as the interface between the land and the sea and the immediate position of the land-water line at one instant in time. This is because of the active nature of water bodies and the coastal land, the shoreline constantly changing (Paterson et. al, 2010). Shoreline change de...
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| Format: | Book Section |
| Language: | English |
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Penerbit UTHM
2021
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| Online Access: | http://eprints.uthm.edu.my/6518/1/9.pdf |
| _version_ | 1796869381832048640 |
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| author | Mohd Salleh, Anuar |
| author_facet | Mohd Salleh, Anuar |
| author_sort | Mohd Salleh, Anuar |
| collection | UTHM |
| description | Shoreline is defined as the interface between the land and the sea and the immediate position
of the land-water line at one instant in time. This is because of the active nature of water bodies
and the coastal land, the shoreline constantly changing (Paterson et. al, 2010). Shoreline
change depicts how the position of the shoreline moves with time. Several studies point out that
two main factors that can be responsible for changing the shoreline are human activities along
the shore or natural processes.
An example of a natural process can be a sea-level rise, change from storms and climate
extreme weather events, including an increase in the intensity and frequency of waves on the
shoreline face and beaches. Shorelines can also move landwards through the process of
erosion; or seawards by sediment accretion. Shoreline change can also be used as a good
indicator of possible coastal erosion and the best indicator for describing coastal erosion is the
shoreline retreat rate. This phenomenon can be detected by using the latest technology such as
Unmanned Aerial Vehicle (UAV). |
| first_indexed | 2024-03-05T21:54:03Z |
| format | Book Section |
| id | uthm.eprints-6518 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:54:03Z |
| publishDate | 2021 |
| publisher | Penerbit UTHM |
| record_format | dspace |
| spelling | uthm.eprints-65182022-02-28T00:37:23Z http://eprints.uthm.edu.my/6518/ Application of UAV in shoreline detection Mohd Salleh, Anuar T Technology (General) Shoreline is defined as the interface between the land and the sea and the immediate position of the land-water line at one instant in time. This is because of the active nature of water bodies and the coastal land, the shoreline constantly changing (Paterson et. al, 2010). Shoreline change depicts how the position of the shoreline moves with time. Several studies point out that two main factors that can be responsible for changing the shoreline are human activities along the shore or natural processes. An example of a natural process can be a sea-level rise, change from storms and climate extreme weather events, including an increase in the intensity and frequency of waves on the shoreline face and beaches. Shorelines can also move landwards through the process of erosion; or seawards by sediment accretion. Shoreline change can also be used as a good indicator of possible coastal erosion and the best indicator for describing coastal erosion is the shoreline retreat rate. This phenomenon can be detected by using the latest technology such as Unmanned Aerial Vehicle (UAV). Penerbit UTHM 2021 Book Section PeerReviewed text en http://eprints.uthm.edu.my/6518/1/9.pdf Mohd Salleh, Anuar (2021) Application of UAV in shoreline detection. In: ROAD PAVEMENT & GEOMATIC APPLICATION: The Scenario. Penerbit UTHM, UTHM, pp. 45-48. |
| spellingShingle | T Technology (General) Mohd Salleh, Anuar Application of UAV in shoreline detection |
| title | Application of UAV in shoreline detection |
| title_full | Application of UAV in shoreline detection |
| title_fullStr | Application of UAV in shoreline detection |
| title_full_unstemmed | Application of UAV in shoreline detection |
| title_short | Application of UAV in shoreline detection |
| title_sort | application of uav in shoreline detection |
| topic | T Technology (General) |
| url | http://eprints.uthm.edu.my/6518/1/9.pdf |
| work_keys_str_mv | AT mohdsallehanuar applicationofuavinshorelinedetection |