Application of remote sensing and GIS for detection of long-term mangrove shoreline changes in Mui Ca Mau, Vietnam
Mui Ca Mau at the southern tip of Vietnam supports a large area of mangroves and has a high value for biodiversity and scenic beauty. This area is affected by erosion along the East Sea and accretion along the Gulf of Thailand, leading to the loss of huge stretches of mangroves along the East Sea an...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2014-07-01
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| Series: | Biogeosciences |
| Online Access: | http://www.biogeosciences.net/11/3781/2014/bg-11-3781-2014.pdf |
| _version_ | 1818545392013279232 |
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| author | V. Tran Thi A. Tien Thi Xuan H. Phan Nguyen F. Dahdouh-Guebas N. Koedam |
| author_facet | V. Tran Thi A. Tien Thi Xuan H. Phan Nguyen F. Dahdouh-Guebas N. Koedam |
| author_sort | V. Tran Thi |
| collection | DOAJ |
| description | Mui Ca Mau at the southern tip of Vietnam supports a large area of mangroves
and has a high value for biodiversity and scenic beauty. This area is
affected by erosion along the East Sea and accretion along the Gulf of
Thailand, leading to the loss of huge stretches of mangroves along the East
Sea and, in some cases, loss of environmental and ecosystem services provided
by mangroves. In this study, we used remotely sensed aerial (1953), Landsat
(1979, 1988 and 2000) and SPOT (1992, 1995, 2004, 2008, 2009 and 2011)
images and the Digital Shoreline Analysis System (DSAS) to quantify the rate
of mangrove shoreline change for a 58 yr period. There were 1129 transects
sampled at 100 m intervals along the mangrove shoreline and two statistical
methods, namely end point rate (EPR) and linear regression rate (LRR), were
used to calculate the rate of change of mangrove shorelines and distance from
1953 to 2011. The study confirms that erosion and accretion, respectively, are
significant at the East Sea and Gulf of Thailand sides of Mui Ca Mau. The East Sea
side had a mean erosion LRR of 33.24 m yr<sup>−1</sup>. The accretion trend at the
Gulf of Thailand side had an average rate of 40.65 m yr<sup>−1</sup>. The
results are important in predicting changes of coastal ecosystem boundaries
and enable advanced planning for specific sections of coastline, to minimize
or neutralize losses, to inform provincial rehabilitation efforts and reduce
threats to coastal development and human safety. |
| first_indexed | 2024-12-12T07:39:40Z |
| format | Article |
| id | doaj.art-6e702f50949c41539fc082b3c74ff919 |
| institution | Directory Open Access Journal |
| issn | 1726-4170 1726-4189 |
| language | English |
| last_indexed | 2024-12-12T07:39:40Z |
| publishDate | 2014-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Biogeosciences |
| spelling | doaj.art-6e702f50949c41539fc082b3c74ff9192022-12-22T00:32:50ZengCopernicus PublicationsBiogeosciences1726-41701726-41892014-07-0111143781379510.5194/bg-11-3781-2014Application of remote sensing and GIS for detection of long-term mangrove shoreline changes in Mui Ca Mau, VietnamV. Tran Thi0A. Tien Thi Xuan1H. Phan Nguyen2F. Dahdouh-Guebas3N. Koedam4Laboratory of Plant Biology and Nature Management, Vrije Universiteit Brussel – VUB, Brussels, BelgiumCenter for HydroMet and Environment Consultancy, Institute of Meteorology, Hydrology and Environment – IMHEN, Hanoi, VietnamMangrove Ecosystem Research Centre, Hanoi National University of Education – HNUE, Hanoi, VietnamLaboratory of Plant Biology and Nature Management, Vrije Universiteit Brussel – VUB, Brussels, BelgiumLaboratory of Plant Biology and Nature Management, Vrije Universiteit Brussel – VUB, Brussels, BelgiumMui Ca Mau at the southern tip of Vietnam supports a large area of mangroves and has a high value for biodiversity and scenic beauty. This area is affected by erosion along the East Sea and accretion along the Gulf of Thailand, leading to the loss of huge stretches of mangroves along the East Sea and, in some cases, loss of environmental and ecosystem services provided by mangroves. In this study, we used remotely sensed aerial (1953), Landsat (1979, 1988 and 2000) and SPOT (1992, 1995, 2004, 2008, 2009 and 2011) images and the Digital Shoreline Analysis System (DSAS) to quantify the rate of mangrove shoreline change for a 58 yr period. There were 1129 transects sampled at 100 m intervals along the mangrove shoreline and two statistical methods, namely end point rate (EPR) and linear regression rate (LRR), were used to calculate the rate of change of mangrove shorelines and distance from 1953 to 2011. The study confirms that erosion and accretion, respectively, are significant at the East Sea and Gulf of Thailand sides of Mui Ca Mau. The East Sea side had a mean erosion LRR of 33.24 m yr<sup>−1</sup>. The accretion trend at the Gulf of Thailand side had an average rate of 40.65 m yr<sup>−1</sup>. The results are important in predicting changes of coastal ecosystem boundaries and enable advanced planning for specific sections of coastline, to minimize or neutralize losses, to inform provincial rehabilitation efforts and reduce threats to coastal development and human safety.http://www.biogeosciences.net/11/3781/2014/bg-11-3781-2014.pdf |
| spellingShingle | V. Tran Thi A. Tien Thi Xuan H. Phan Nguyen F. Dahdouh-Guebas N. Koedam Application of remote sensing and GIS for detection of long-term mangrove shoreline changes in Mui Ca Mau, Vietnam Biogeosciences |
| title | Application of remote sensing and GIS for detection of long-term mangrove shoreline changes in Mui Ca Mau, Vietnam |
| title_full | Application of remote sensing and GIS for detection of long-term mangrove shoreline changes in Mui Ca Mau, Vietnam |
| title_fullStr | Application of remote sensing and GIS for detection of long-term mangrove shoreline changes in Mui Ca Mau, Vietnam |
| title_full_unstemmed | Application of remote sensing and GIS for detection of long-term mangrove shoreline changes in Mui Ca Mau, Vietnam |
| title_short | Application of remote sensing and GIS for detection of long-term mangrove shoreline changes in Mui Ca Mau, Vietnam |
| title_sort | application of remote sensing and gis for detection of long term mangrove shoreline changes in mui ca mau vietnam |
| url | http://www.biogeosciences.net/11/3781/2014/bg-11-3781-2014.pdf |
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