Investigation of coastline changes in three provinces of Thailand using remote sensing

The measuring of coastal in the certain short period of time is almost impossible, but applying the remote sensing with the satellite imagery bring mankind to track down and analyze the approximately length of the coastal changes at the Nano technology speed. An attempt has been made to study the le...

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Main Authors: Thanyabhon Tochamnanvit, Wutjanun Muttitanon
Other Authors: Mahidol University
Format: Conference or Workshop Item
Published: 2018
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/33697
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spelling th-mahidol.336972018-11-09T10:16:10Z Investigation of coastline changes in three provinces of Thailand using remote sensing Thanyabhon Tochamnanvit Wutjanun Muttitanon Mahidol University Computer Science Social Sciences The measuring of coastal in the certain short period of time is almost impossible, but applying the remote sensing with the satellite imagery bring mankind to track down and analyze the approximately length of the coastal changes at the Nano technology speed. An attempt has been made to study the length of shoreline changes along three provinces in the upper gulf of Thailand. The significant purpose is to investigate coastline length changes and to evaluate those different coastal changes at different times. Two specialties of chosen areas are the outstanding location at mouth of river in curve pattern and ecological important mangrove forest, as nominated and designated area listed in Ramsar convention, international wetlands treaty. In employing the remote sensing will help to investigate the shoreline erosion, stable or construction shoreline. Rapid and drastic shoreline changes have been compared and measured base on satellite image Landsat 5 TM on 1994, 2002 and 2007 at path129 row 051. There were geometrically co-registered and, in the process were resampled to 25m. By composing RGB band, fusion, supervised classification. By apply different theories will give different results but the similarly pattern. Training sites were selected by signature editor, area of interest, evaluate by seperabilitly and contingency. Principle component analysis (PCA) was employed as a method of change detection. This is to conclude that these shoreline areas were in erosion from natural processes and manmade activities, for example, aquaculture and agriculture expansion, such as shrimp farm. These coastal line lost were not just losing the land; it's losing the soul of the cycle of marine life, economically, and environmentally. Moreover, this project, in the future, could benefit to set the recovery buffer zone for mangrove restoration also. 2018-11-09T02:09:52Z 2018-11-09T02:09:52Z 2014-01-01 Conference Paper International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. Vol.XL-8, No.1 (2014), 1079-1083 10.5194/isprsarchives-XL-8-1079-2014 16821750 2-s2.0-84918558572 https://repository.li.mahidol.ac.th/handle/123456789/33697 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84918558572&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Computer Science
Social Sciences
spellingShingle Computer Science
Social Sciences
Thanyabhon Tochamnanvit
Wutjanun Muttitanon
Investigation of coastline changes in three provinces of Thailand using remote sensing
description The measuring of coastal in the certain short period of time is almost impossible, but applying the remote sensing with the satellite imagery bring mankind to track down and analyze the approximately length of the coastal changes at the Nano technology speed. An attempt has been made to study the length of shoreline changes along three provinces in the upper gulf of Thailand. The significant purpose is to investigate coastline length changes and to evaluate those different coastal changes at different times. Two specialties of chosen areas are the outstanding location at mouth of river in curve pattern and ecological important mangrove forest, as nominated and designated area listed in Ramsar convention, international wetlands treaty. In employing the remote sensing will help to investigate the shoreline erosion, stable or construction shoreline. Rapid and drastic shoreline changes have been compared and measured base on satellite image Landsat 5 TM on 1994, 2002 and 2007 at path129 row 051. There were geometrically co-registered and, in the process were resampled to 25m. By composing RGB band, fusion, supervised classification. By apply different theories will give different results but the similarly pattern. Training sites were selected by signature editor, area of interest, evaluate by seperabilitly and contingency. Principle component analysis (PCA) was employed as a method of change detection. This is to conclude that these shoreline areas were in erosion from natural processes and manmade activities, for example, aquaculture and agriculture expansion, such as shrimp farm. These coastal line lost were not just losing the land; it's losing the soul of the cycle of marine life, economically, and environmentally. Moreover, this project, in the future, could benefit to set the recovery buffer zone for mangrove restoration also.
author2 Mahidol University
author_facet Mahidol University
Thanyabhon Tochamnanvit
Wutjanun Muttitanon
format Conference or Workshop Item
author Thanyabhon Tochamnanvit
Wutjanun Muttitanon
author_sort Thanyabhon Tochamnanvit
title Investigation of coastline changes in three provinces of Thailand using remote sensing
title_short Investigation of coastline changes in three provinces of Thailand using remote sensing
title_full Investigation of coastline changes in three provinces of Thailand using remote sensing
title_fullStr Investigation of coastline changes in three provinces of Thailand using remote sensing
title_full_unstemmed Investigation of coastline changes in three provinces of Thailand using remote sensing
title_sort investigation of coastline changes in three provinces of thailand using remote sensing
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/33697
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