Publication: Investigation of coastline changes in three provinces of Thailand using remote sensing
8
Issued Date
2014-01-01
Resource Type
ISSN
16821750
Other identifier(s)
2-s2.0-84918558572
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. Vol.XL-8, No.1 (2014), 1079-1083
Suggested Citation
Thanyabhon Tochamnanvit, Wutjanun Muttitanon Investigation of coastline changes in three provinces of Thailand using remote sensing. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. Vol.XL-8, No.1 (2014), 1079-1083. doi:10.5194/isprsarchives-XL-8-1079-2014 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/33697
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
Investigation of coastline changes in three provinces of Thailand using remote sensing
Author(s)
Other Contributor(s)
Abstract
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.