Global Mangrove Watch: Monthly Alerts of Mangrove Loss for Africa

被引:8
作者
Bunting, Pete [1 ]
Hilarides, Lammert [2 ]
Rosenqvist, Ake [3 ]
Lucas, Richard M. [1 ]
Kuto, Edmond [4 ]
Gueye, Yakhya [5 ]
Ndiaye, Laye [5 ]
机构
[1] Aberystwyth Univ, Dept Geog & Earth Sci, Aberystwyth SY23 3DB, Wales
[2] Wetlands Int, NL-6700 AL Wageningen, Netherlands
[3] Solo Earth Observat soloEO, Tokyo 1040054, Japan
[4] Wetlands Int Eastern Afr, Nairobi PQ7X5J7, Kenya
[5] Wetlands Int West Afr, Dakar MGXW 333, Senegal
基金
英国科研创新办公室;
关键词
mangroves; deforestation; mangrove loss; global mangrove watch; change detection; near real time; mangrove loss alerts; early warning; Sentinel-2; Africa; FORESTS; CLASSIFICATION; EROSION;
D O I
10.3390/rs15082050
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Current mangrove mapping efforts, such as the Global Mangrove Watch (GMW), have focused on providing one-off or annual maps of mangrove forests, while such maps may be most useful for reporting regional, national and sub-national extent of mangrove forests, they may be of more limited use for the day-to-day management of mangroves and for supporting the Global Mangrove Alliance (GMA) goal of halting global mangrove loss. To this end, a prototype change mangrove loss alert system has been developed to identify mangrove losses on a monthly basis. Implemented on the Microsoft Planetary Computer, the Global Mangrove Watch v3.0 mangrove baseline extent map for 2018 was refined and used to define the mangrove extent mask under which potential losses would be identified. The study period was from 2018 to 2022 due to the availability of Sentinel-2 imagery used for the study. The mangrove loss alert system is based on optimised normalised difference vegetation index (NDVI) thresholds used to identify mangrove losses and a temporal scoring system to filter false positives. The mangrove loss alert system was found to have an estimated overall accuracy of 92.1%, with the alert commission and omission estimated to be 10.4% and 20.6%, respectively. Africa was selected for the mangrove loss alert system prototype, where significant losses were identified in the study period, with 90% of the mangrove loss alerts identified in Nigeria, Guinea-Bissau, Madagascar, Mozambique and Guinea. The primary drivers of these losses ranged from economic activities that dominated West Africa and Northern East Africa (mainly agricultural conversion and infrastructure development) to climatic in Southern East Africa (primarily storm frequency and intensity). The production of the monthly mangrove loss alerts for Africa will be continued as part of the wider Global Mangrove Watch project, and the spatial coverage is expected to be expanded to other regions over the coming months and years. The mangrove loss alerts will be published on the Global Mangrove Watch online portal and updated monthly.
引用
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页数:26
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