Monitoring Changes in Coastal Mangrove Extents Using Multi-Temporal Satellite Data in Selected Communes, Hai Phong City, Vietnam
Mangrove forests are important and known as one of the most productive ecosystems in the tropics. They reduce the impacts of extreme events, provide important breeding grounds for aquatic species and build the resilience of ecosystem-dependent coastal communities. On the contrary, they are also know...
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| Format: | Article |
| Language: | English |
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Hasanuddin University
2020-04-01
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| Series: | Forest and Society |
| Subjects: | |
| Online Access: | https://journal.unhas.ac.id/index.php/fs/article/view/8486 |
| _version_ | 1828949622064676864 |
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| author | Hai-Hoa Nguyen Lan Thi Ngoc Tran An Thanh Le Nghia Huu Nghia Linh Vo Khanh Duong Hien Thi Thu Nguyen Simone Bohm Charles Finny Sathya Premnath |
| author_facet | Hai-Hoa Nguyen Lan Thi Ngoc Tran An Thanh Le Nghia Huu Nghia Linh Vo Khanh Duong Hien Thi Thu Nguyen Simone Bohm Charles Finny Sathya Premnath |
| author_sort | Hai-Hoa Nguyen |
| collection | DOAJ |
| description | Mangrove forests are important and known as one of the most productive ecosystems in the tropics. They reduce the impacts of extreme events, provide important breeding grounds for aquatic species and build the resilience of ecosystem-dependent coastal communities. On the contrary, they are also known as one of the most threatened and vulnerable ecosystems worldwide, which have experienced a dramatic decline due to extensive coastal development during the last half-century. Remote sensing techniques have demonstrated a high potential to detect, identify, map, and monitor mangrove conditions and its changes, which is reflected by a large number of scientific papers published on this topic. The aim of this study was to investigate the multi-decadal changes of mangrove forests selected communes in Hai Phong city, North Vietnam, based on using Landsat and Sentinel 2 data from 2000 to 2018. The study used these continuous steps: 1) data pre-processing; 2) image classification using Normalized Difference Vegetation Index; 3) accuracy assessments; and 4) multi-temporal change detection and spatial analysis of mangrove forests. The classification maps in comparison with the ground reference data showed the satisfactory agreement with the overall accuracy was higher than 80.0%. From 2000 to 2018, the areas of mangrove forests in the study regions increased by 584.2 ha in Dai Hop and Bang La communes (Region 1) and by 124.2 ha in Tan Thanh, Ngoc Xuyen and Ngoc Hai communes (Region 2), mainly due to the boom of mangrove planting projects and good mangrove management at the local community level. |
| first_indexed | 2024-12-14T06:10:03Z |
| format | Article |
| id | doaj.art-4b865c2250684bc0bdb2e4fbb809c628 |
| institution | Directory Open Access Journal |
| issn | 2549-4724 2549-4333 |
| language | English |
| last_indexed | 2024-12-14T06:10:03Z |
| publishDate | 2020-04-01 |
| publisher | Hasanuddin University |
| record_format | Article |
| series | Forest and Society |
| spelling | doaj.art-4b865c2250684bc0bdb2e4fbb809c6282022-12-21T23:14:10ZengHasanuddin UniversityForest and Society2549-47242549-43332020-04-014110.24259/fs.v4i1.84864385Monitoring Changes in Coastal Mangrove Extents Using Multi-Temporal Satellite Data in Selected Communes, Hai Phong City, VietnamHai-Hoa Nguyen0Lan Thi Ngoc Tran1An Thanh Le2Nghia Huu Nghia3Linh Vo Khanh Duong4Hien Thi Thu Nguyen5Simone Bohm6Charles Finny Sathya Premnath7Vietnam National University of Forestry, VietnamVietnam National University of Forestry, VietnamVietnam National University of Forestry, VietnamVietnam National University of Forestry, VietnamVietnam National University of Forestry, VietnamThai Nguyen University of Agriculture and Forestry, VietnamUniversity of Hohenheim, GermanyKarunya University, IndiaMangrove forests are important and known as one of the most productive ecosystems in the tropics. They reduce the impacts of extreme events, provide important breeding grounds for aquatic species and build the resilience of ecosystem-dependent coastal communities. On the contrary, they are also known as one of the most threatened and vulnerable ecosystems worldwide, which have experienced a dramatic decline due to extensive coastal development during the last half-century. Remote sensing techniques have demonstrated a high potential to detect, identify, map, and monitor mangrove conditions and its changes, which is reflected by a large number of scientific papers published on this topic. The aim of this study was to investigate the multi-decadal changes of mangrove forests selected communes in Hai Phong city, North Vietnam, based on using Landsat and Sentinel 2 data from 2000 to 2018. The study used these continuous steps: 1) data pre-processing; 2) image classification using Normalized Difference Vegetation Index; 3) accuracy assessments; and 4) multi-temporal change detection and spatial analysis of mangrove forests. The classification maps in comparison with the ground reference data showed the satisfactory agreement with the overall accuracy was higher than 80.0%. From 2000 to 2018, the areas of mangrove forests in the study regions increased by 584.2 ha in Dai Hop and Bang La communes (Region 1) and by 124.2 ha in Tan Thanh, Ngoc Xuyen and Ngoc Hai communes (Region 2), mainly due to the boom of mangrove planting projects and good mangrove management at the local community level.https://journal.unhas.ac.id/index.php/fs/article/view/8486GISHai Phongmangrove dynamicsmulti-temporal imagesremote sensing |
| spellingShingle | Hai-Hoa Nguyen Lan Thi Ngoc Tran An Thanh Le Nghia Huu Nghia Linh Vo Khanh Duong Hien Thi Thu Nguyen Simone Bohm Charles Finny Sathya Premnath Monitoring Changes in Coastal Mangrove Extents Using Multi-Temporal Satellite Data in Selected Communes, Hai Phong City, Vietnam Forest and Society GIS Hai Phong mangrove dynamics multi-temporal images remote sensing |
| title | Monitoring Changes in Coastal Mangrove Extents Using Multi-Temporal Satellite Data in Selected Communes, Hai Phong City, Vietnam |
| title_full | Monitoring Changes in Coastal Mangrove Extents Using Multi-Temporal Satellite Data in Selected Communes, Hai Phong City, Vietnam |
| title_fullStr | Monitoring Changes in Coastal Mangrove Extents Using Multi-Temporal Satellite Data in Selected Communes, Hai Phong City, Vietnam |
| title_full_unstemmed | Monitoring Changes in Coastal Mangrove Extents Using Multi-Temporal Satellite Data in Selected Communes, Hai Phong City, Vietnam |
| title_short | Monitoring Changes in Coastal Mangrove Extents Using Multi-Temporal Satellite Data in Selected Communes, Hai Phong City, Vietnam |
| title_sort | monitoring changes in coastal mangrove extents using multi temporal satellite data in selected communes hai phong city vietnam |
| topic | GIS Hai Phong mangrove dynamics multi-temporal images remote sensing |
| url | https://journal.unhas.ac.id/index.php/fs/article/view/8486 |
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