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Open AccessArticle

The Global Mangrove Watch—A New 2010 Global Baseline of Mangrove Extent

1
Department of Geography and Earth Sciences, Aberystwyth University, Aberystwyth SY23 3DB, UK
2
Solo Earth Observation (soloEO), Tokyo 104-0054, Japan
3
School of Biological, Earth and Environmental Sciences (BEES), University of New South Wales (UNSW), High Street, Kensington, NSW 2052, Australia
4
International Water Management Institute, Regional Office for SE Asia and The Mekong, P.O. Box 4199, Vientiane
5
Wetlands International, 6700AL Wageningen, The Netherlands
6
Earth System Science Interdicsiplinary Center, University of Maryland/NASA Goddard Space Flight Center, College Park, MD 20742, USA
7
Remote Sensing Technology Center of Japan (RESTEC), Tsukuba Office, Ibaraki 305-8505, Japan
8
School of Science and Engineering, Tokyo Denki University, Saitama 350-0394, Japan
9
Institute for Land, Water and Society, Charles Sturt University, Albury, NSW 2640, Australia
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(10), 1669; https://doi.org/10.3390/rs10101669
Received: 31 July 2018 / Revised: 14 September 2018 / Accepted: 18 October 2018 / Published: 22 October 2018
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. View Full-Text
Keywords: mangrove; extent; global; baseline; mapping; ALOS PALSAR; landsat; ramsar; global mangrove watch; K&C mangrove; extent; global; baseline; mapping; ALOS PALSAR; landsat; ramsar; global mangrove watch; K&C
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MDPI and ACS Style

Bunting, P.; Rosenqvist, A.; Lucas, R.M.; Rebelo, L.-M.; Hilarides, L.; Thomas, N.; Hardy, A.; Itoh, T.; Shimada, M.; Finlayson, C.M. The Global Mangrove Watch—A New 2010 Global Baseline of Mangrove Extent. Remote Sens. 2018, 10, 1669. https://doi.org/10.3390/rs10101669

AMA Style

Bunting P, Rosenqvist A, Lucas RM, Rebelo L-M, Hilarides L, Thomas N, Hardy A, Itoh T, Shimada M, Finlayson CM. The Global Mangrove Watch—A New 2010 Global Baseline of Mangrove Extent. Remote Sensing. 2018; 10(10):1669. https://doi.org/10.3390/rs10101669

Chicago/Turabian Style

Bunting, Pete; Rosenqvist, Ake; Lucas, Richard M.; Rebelo, Lisa-Maria; Hilarides, Lammert; Thomas, Nathan; Hardy, Andy; Itoh, Takuya; Shimada, Masanobu; Finlayson, C. M. 2018. "The Global Mangrove Watch—A New 2010 Global Baseline of Mangrove Extent" Remote Sens. 10, no. 10: 1669. https://doi.org/10.3390/rs10101669

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