The global mangrove watch - a New 2010 global baseline of mangrove extent
| dc.creator | Bunting, P. | |
| dc.creator | Rosenqvist, A. | |
| dc.creator | Lucas, R.M. | |
| dc.creator | Rebelo, Lisa-Maria | |
| dc.creator | Thomas, N. | |
| dc.creator | Hardy, A. | |
| dc.creator | Itoh, T. | |
| dc.creator | Shimada, M. | |
| dc.creator | Finlayson, C. Max | |
| dc.date | 2018-10-22 | |
| dc.date | 2019-05-03T08:53:32Z | |
| dc.date | 2019-05-03T08:53:32Z | |
| dc.date.accessioned | 2026-06-27T18:42:49Z | |
| dc.description | This study presents a new global baseline of mangrove extent for 2010 and has been released as the first output of the Global Mangrove Watch (GMW) initiative. This is the first study to apply a globally consistent and automated method for mapping mangroves, identifying a global extent of 137,600 km 2 . The overall accuracy for mangrove extent was 94.0% with a 99% likelihood that the true value is between 93.6–94.5%, using 53,878 accuracy points across 20 sites distributed globally. Using the geographic regions of the Ramsar Convention on Wetlands, Asia has the highest proportion of mangroves with 38.7% of the global total, while Latin America and the Caribbean have 20.3%, Africa has 20.0%, Oceania has 11.9%, North America has 8.4% and the European Overseas Territories have 0.7%. The methodology developed is primarily based on the classification of ALOS PALSAR and Landsat sensor data, where a habitat mask was first generated, within which the classification of mangrove was undertaken using the Extremely Randomized Trees classifier. This new globally consistent baseline will also form the basis of a mangrove monitoring system using JAXA JERS-1 SAR, ALOS PALSAR and ALOS-2 PALSAR-2 radar data to assess mangrove change from 1996 to the present. However, when using the product, users should note that a minimum mapping unit of 1 ha is recommended and that the error increases in regions of disturbance and where narrow strips or smaller fragmented areas of mangroves are present. Artefacts due to cloud cover and the Landsat-7 SLC-off error are also present in some areas, particularly regions of West Africa due to the lack of Landsat-5 data and persistence cloud cover. In the future, consideration will be given to the production of a new global baseline based on 10 m Sentinel-2 composites. | |
| dc.identifier | https://hdl.handle.net/10568/101185 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/163422 | |
| dc.language | en | |
| dc.publisher | MDPI | |
| dc.rights | Open Access | |
| dc.source | Bunting, P.; Rosenqvist, A.; Lucas, R. M.; Rebelo, Lisa-Maria; Thomas, N.; Hardy, A.; Itoh, T.; Shimada, M.; Finlayson, C. M. 2018. The global mangrove watch - a New 2010 global baseline of mangrove extent. Remote Sensing, 10(10):1-19. doi: 10.3390/rs10101669 | |
| dc.subject | mangroves | |
| dc.subject | wetlands | |
| dc.subject | mapping | |
| dc.subject | landsat | |
| dc.subject | satellite imagery | |
| dc.subject | satellite observation | |
| dc.subject | earth observation satellites | |
| dc.subject | human behaviour | |
| dc.subject | coastal area | |
| dc.subject | deltas | |
| dc.subject | environmental monitoring | |
| dc.title | The global mangrove watch - a New 2010 global baseline of mangrove extent | |
| dc.type | Journal Article |
