Automated High-Resolution Time Series Mapping of Mangrove Forests Damaged by Hurricane Irma in Southwest Florida
Automated High-Resolution Time Series Mapping of Mangrove Forests Damaged by Hurricane Irma in Southwest Florida
复制标题
DOI：
10.3390/rs12111740
复制
发表时间：
2020-05
期刊：
影响因子：
--
通讯作者：
M. McCarthy;Brita Jessen;M. J. Barry;M. Figueroa;Jessica McIntosh;T. Murray;Jill Schmid;F. Müller-Karger
中科院分区：
文献类型：
--
作者：
M. McCarthy;Brita Jessen;M. J. Barry;M. Figueroa;Jessica McIntosh;T. Murray;Jill Schmid;F. Müller-Karger
2017年9月，飓风厄玛在美国佛罗里达西南部的鲁克里湾国家河口研究保护区登陆，风力超过200公里每小时。我们绘制了飓风对沿海土地覆盖的影响程度与卫星图像的季节性时间序列。非常高分辨率（即，500万像素以下）的卫星图像已被证明可有效地绘制湿地生态系统地图，但数据获取和存储、算法培训和图像处理方面的挑战阻碍了这些数据的大规模和时间序列地图绘制。我们描述了我们解决这些问题的方法，使用2010年至2018年收集的91张WorldView-2卫星图像评估鲁克里湾生态系统的破坏和恢复，这些图像使用自动化技术绘制，并通过实地活动进行验证。土地覆盖按季节以2 m分辨率分类（即，健康红树林、退化红树林、高地、土壤和水），总体准确率为82%。数字变化检测方法表明，飓风相关的退化是17%的红树林（~5平方公里）。约35%（1.7平方公里）的损失在飓风厄玛一年后恢复。该方法完成绘图的速度比现有方法快约200倍，说明可以有效地轻松完成区域高分辨率绘图。
In September of 2017, Hurricane Irma made landfall within the Rookery Bay National Estuarine Research Reserve of southwest Florida (USA) as a category 3 storm with winds in excess of 200 km h−1. We mapped the extent of the hurricane’s impact on coastal land cover with a seasonal time series of satellite imagery. Very high-resolution (i.e., <5 m pixel) satellite imagery has proven effective to map wetland ecosystems, but challenges in data acquisition and storage, algorithm training, and image processing have prevented large-scale and time-series mapping of these data. We describe our approach to address these issues to evaluate Rookery Bay ecosystem damage and recovery using 91 WorldView-2 satellite images collected between 2010 and 2018 mapped using automated techniques and validated with a field campaign. Land cover was classified seasonally at 2 m resolution (i.e., healthy mangrove, degraded mangrove, upland, soil, and water) with an overall accuracy of 82%. Digital change detection methods show that hurricane-related degradation was 17% of mangrove forest (~5 km2). Approximately 35% (1.7 km2) of this loss recovered one year after Hurricane Irma. The approach completed the mapping approximately 200 times faster than existing methods, illustrating the ease with which regional high-resolution mapping may be accomplished efficiently.