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

Department of Geography and Earth Sciences, Aberystwyth University, Aberystwyth SY23 3DB, UK
Solo Earth Observation (soloEO), Tokyo 104-0054, Japan
School of Biological, Earth and Environmental Sciences (BEES), University of New South Wales (UNSW), High Street, Kensington, NSW 2052, Australia
International Water Management Institute, Regional Office for SE Asia and The Mekong, P.O. Box 4199, Vientiane
Wetlands International, 6700AL Wageningen, The Netherlands
Earth System Science Interdicsiplinary Center, University of Maryland/NASA Goddard Space Flight Center, College Park, MD 20742, USA
Remote Sensing Technology Center of Japan (RESTEC), Tsukuba Office, Ibaraki 305-8505, Japan
School of Science and Engineering, Tokyo Denki University, Saitama 350-0394, Japan
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;
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.

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.

Chicago/Turabian Style

Bunting, Pete, Ake Rosenqvist, Richard M. Lucas, Lisa-Maria Rebelo, Lammert Hilarides, Nathan Thomas, Andy Hardy, Takuya Itoh, Masanobu Shimada, and C. Max Finlayson. 2018. "The Global Mangrove Watch—A New 2010 Global Baseline of Mangrove Extent" Remote Sensing 10, no. 10: 1669.

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