The Global Mangrove WatchA New 2010 Global Baseline of Mangrove Extent

The Global Mangrove WatchA New 2010 Global Baseline of Mangrove Extent
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DOI:
10.3390/rs10101669
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发表时间:
2018-10-01
期刊:
影响因子:
5
通讯作者:
Finlayson, C. Max
Finlayson, C. Max
中科院分区:
工程技术2区
文献类型:
--
作者:
Bunting, Pete;Rosenqvist, Ake;Finlayson, C. Max

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这项研究提出了2010年红树林覆盖范围的新的全球基线,并已作为全球红树林观察倡议的第一项产出发布。这是第一项采用全球一致的自动化方法绘制红树林地图的研究,确定全球范围为137 600平方公里。使用分布在全球20个地点的53,878个准确点,红树林范围的总体准确度为94.0%,真实值在93.6- 94.5%之间的可能性为99%。根据《拉姆萨尔湿地公约》的地理区域,亚洲的红树林比例最高,占全球总数的38.7%,拉丁美洲和加勒比地区占20.3%,非洲占20.0%,大洋洲占11.9%,北美占8.4%,欧洲海外领土占0.7%。所制定的方法主要基于ALOS PALSAR和大地卫星传感器数据的分类,首先生成生境掩模,其中使用极端随机树分类器对红树林进行分类。这一新的全球一致基线还将构成红树林监测系统的基础,该系统利用日本宇宙航空研究开发机构JERS-1合成孔径雷达、ALOS PALSAR和ALOS-2 PALSAR-2雷达数据评估1996年至今的红树林变化。然而,在使用该产品时,用户应注意到,建议最小绘图单位为1公顷,在干扰地区和存在红树林狭窄地带或较小的破碎地区,误差会增加。在某些地区,特别是在西非地区,由于缺乏Landsat-5数据和持续性云层覆盖,也存在由云层覆盖和Landsat-7 SLC关闭误差造成的人为现象。今后将考虑根据10米Sentinel-2复合材料制作新的全球基线。
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 km2. 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.