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Remote Sensing of Coral Reefs for Monitoring and Management: A Review

机译：珊瑚礁遥感监测与管理研究进展

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Coral reefs are in decline worldwide and monitoring activities are important for assessing the impact of disturbance on reefs and tracking subsequent recovery or decline. Monitoring by field surveys provides accurate data but at highly localised scales and so is not cost-effective for reef scale monitoring at frequent time points. Remote sensing from satellites is an alternative and complementary approach. While remote sensing cannot provide the level of detail and accuracy at a single point than a field survey, the statistical power for inferring large scale patterns benefits in having complete areal coverage. This review considers the state of the art of coral reef remote sensing for the diverse range of objectives relevant for management, ranging from the composition of the reef: physical extent, benthic cover, bathymetry, rugosity; to environmental parameters: sea surface temperature, exposure, light, carbonate chemistry. In addition to updating previous reviews, here we also consider the capability to go beyond basic maps of habitats or environmental variables, to discuss concepts highly relevant to stakeholders, policy makers and public communication: such as biodiversity, environmental threat and ecosystem services. A clear conclusion of the review is that advances in both sensor technology and processing algorithms continue to drive forward remote sensing capability for coral reef mapping, particularly with respect to spatial resolution of maps, and synthesis across multiple data products. Both trends can be expected to continue.
机译：全世界的珊瑚礁都在减少，监测活动对于评估扰动对珊瑚礁的影响以及跟踪随后的恢复或下降至关重要。通过实地调查进行的监测可提供准确的数据，但范围高度局部化，因此在频繁的时间点进行礁石规模监测并不划算。卫星遥感是一种替代性的补充方法。尽管遥感无法提供比现场调查更能提供单点细节和准确性的水平，但用于推断大规模模式的统计能力却有利于全面覆盖区域。这篇综述考虑了与各种管理目标有关的珊瑚礁遥感技术的最新水平，这些目标涉及珊瑚礁的组成：物理范围，底栖生物，测深法，褶皱;环境参数：海面温度，暴露，光照，碳酸盐化学。除了更新以前的评论外，我们还考虑了超越栖息地或环境变量的基本图，讨论与利益相关者，政策制定者和公共传播高度相关的概念的能力，例如生物多样性，环境威胁和生态系统服务。审查的一个明确结论是，传感器技术和处理算法的进步继续推动着向前发展珊瑚礁制图的遥感能力，特别是在地图的空间分辨率以及跨多个数据产品的合成方面。两种趋势都有望继续。

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