Remote Sensing Approach for Monitoring Coastal Wetland in the Mekong Delta, Vietnam: Change Trends and Their Driving Forces

Coastal wetlands in the Mekong Delta (MD), Vietnam, provide various vital ecosystem services for the region. These wetlands have experienced critical changes due to the increase in regional anthropogenic activities, global climate change, and the associated sea level rise (SLR). However, documented...

Full description

Bibliographic Details
Main Authors: An T. N. Dang, Lalit Kumar, Michael Reid, Ho Nguyen
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/17/3359
id doaj-7d475c00b3d148e5b0e890393c00a610
record_format Article
spelling doaj-7d475c00b3d148e5b0e890393c00a6102021-09-09T13:55:00ZengMDPI AGRemote Sensing2072-42922021-08-01133359335910.3390/rs13173359Remote Sensing Approach for Monitoring Coastal Wetland in the Mekong Delta, Vietnam: Change Trends and Their Driving ForcesAn T. N. Dang0Lalit Kumar1Michael Reid2Ho Nguyen3Department of Geography and Planning, University of New England, Armidale, NSW 2351, AustraliaEastCoast Geospatial Consultants, Armidale, NSW 2350, AustraliaDepartment of Geography and Planning, University of New England, Armidale, NSW 2351, AustraliaDepartment of Land Management, Dong Thap University, Cao Lanh 870000, VietnamCoastal wetlands in the Mekong Delta (MD), Vietnam, provide various vital ecosystem services for the region. These wetlands have experienced critical changes due to the increase in regional anthropogenic activities, global climate change, and the associated sea level rise (SLR). However, documented information and research on the dynamics and drivers of these important wetland areas remain limited for the region. The present study aims to determine the long-term dynamics of wetlands in the south-west coast of the MD using remote sensing approaches, and analyse the potential factors driving these dynamics. Wetland maps from the years 1995, 2002, 2013, and 2020 at a 15 m spatial resolution were derived from Landsat images with the aid of a hybrid classification approach. The accuracy of the wetland maps was relatively high, with overall accuracies ranging from 86–93%. The findings showed that the critical changes over the period 1995/2020 included the expansion of marine water into coastal lands, showing 129% shoreline erosion; a remarkable increase of 345% in aquaculture ponds; and a reduction of forested wetlands and rice fields/other crops by 32% and 73%, respectively. Although mangrove forests slightly increased for the period 2013/2020, the overall trend was also a reduction of 5%. Our findings show that the substantial increase in aquaculture ponds is at the expense of mangroves, forested wetlands, and rice fields/other crops, while shoreline erosion significantly affected coastal lands, especially mangrove forests. The interaction of a set of environmental and socioeconomic factors were responsible for the dynamics. In particular, SLR was identified as one of the main underlying drivers; however, the rapid changes were directly driven by policies on land-use for economic development in the region. The trends of wetland changes and SLR implicate their significant effects on environment, natural resources, food security, and likelihood of communities in the region sustaining for the long-term. These findings can assist in developing and planning appropriate management strategies and policies for wetland protection and conservation, and for sustainable development in the region.https://www.mdpi.com/2072-4292/13/17/3359coastal wetlandMekong Deltaremote sensing approachlandsat datasea level risewetland change
collection DOAJ
language English
format Article
sources DOAJ
author An T. N. Dang
Lalit Kumar
Michael Reid
Ho Nguyen
spellingShingle An T. N. Dang
Lalit Kumar
Michael Reid
Ho Nguyen
Remote Sensing Approach for Monitoring Coastal Wetland in the Mekong Delta, Vietnam: Change Trends and Their Driving Forces
Remote Sensing
coastal wetland
Mekong Delta
remote sensing approach
landsat data
sea level rise
wetland change
author_facet An T. N. Dang
Lalit Kumar
Michael Reid
Ho Nguyen
author_sort An T. N. Dang
title Remote Sensing Approach for Monitoring Coastal Wetland in the Mekong Delta, Vietnam: Change Trends and Their Driving Forces
title_short Remote Sensing Approach for Monitoring Coastal Wetland in the Mekong Delta, Vietnam: Change Trends and Their Driving Forces
title_full Remote Sensing Approach for Monitoring Coastal Wetland in the Mekong Delta, Vietnam: Change Trends and Their Driving Forces
title_fullStr Remote Sensing Approach for Monitoring Coastal Wetland in the Mekong Delta, Vietnam: Change Trends and Their Driving Forces
title_full_unstemmed Remote Sensing Approach for Monitoring Coastal Wetland in the Mekong Delta, Vietnam: Change Trends and Their Driving Forces
title_sort remote sensing approach for monitoring coastal wetland in the mekong delta, vietnam: change trends and their driving forces
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2021-08-01
description Coastal wetlands in the Mekong Delta (MD), Vietnam, provide various vital ecosystem services for the region. These wetlands have experienced critical changes due to the increase in regional anthropogenic activities, global climate change, and the associated sea level rise (SLR). However, documented information and research on the dynamics and drivers of these important wetland areas remain limited for the region. The present study aims to determine the long-term dynamics of wetlands in the south-west coast of the MD using remote sensing approaches, and analyse the potential factors driving these dynamics. Wetland maps from the years 1995, 2002, 2013, and 2020 at a 15 m spatial resolution were derived from Landsat images with the aid of a hybrid classification approach. The accuracy of the wetland maps was relatively high, with overall accuracies ranging from 86–93%. The findings showed that the critical changes over the period 1995/2020 included the expansion of marine water into coastal lands, showing 129% shoreline erosion; a remarkable increase of 345% in aquaculture ponds; and a reduction of forested wetlands and rice fields/other crops by 32% and 73%, respectively. Although mangrove forests slightly increased for the period 2013/2020, the overall trend was also a reduction of 5%. Our findings show that the substantial increase in aquaculture ponds is at the expense of mangroves, forested wetlands, and rice fields/other crops, while shoreline erosion significantly affected coastal lands, especially mangrove forests. The interaction of a set of environmental and socioeconomic factors were responsible for the dynamics. In particular, SLR was identified as one of the main underlying drivers; however, the rapid changes were directly driven by policies on land-use for economic development in the region. The trends of wetland changes and SLR implicate their significant effects on environment, natural resources, food security, and likelihood of communities in the region sustaining for the long-term. These findings can assist in developing and planning appropriate management strategies and policies for wetland protection and conservation, and for sustainable development in the region.
topic coastal wetland
Mekong Delta
remote sensing approach
landsat data
sea level rise
wetland change
url https://www.mdpi.com/2072-4292/13/17/3359
work_keys_str_mv AT antndang remotesensingapproachformonitoringcoastalwetlandinthemekongdeltavietnamchangetrendsandtheirdrivingforces
AT lalitkumar remotesensingapproachformonitoringcoastalwetlandinthemekongdeltavietnamchangetrendsandtheirdrivingforces
AT michaelreid remotesensingapproachformonitoringcoastalwetlandinthemekongdeltavietnamchangetrendsandtheirdrivingforces
AT honguyen remotesensingapproachformonitoringcoastalwetlandinthemekongdeltavietnamchangetrendsandtheirdrivingforces
_version_ 1717759518336614400