Due to the absence of Automatic Identification System data (used by 3.7% of the Calvi bay fleet), the acoustic monitoring of coastal environments presents difficulties. A specific visual monitoring protocol has been set up on a photographic observatory using the wide-angle camera GoPro^®. The detection and localization of boats were carried by two image processing algorithms and allowed the creation of a map of maritime traffic for a surface of 3.48 km². The ocean noise is described through two different scales (the individual scale and the global scale) which are linked to the traffic information. The Sound Pressure Level characterizes the individual sources and correlates with the distance of the nearest ship, whereas the Ambient Noise Level characterizes the background without individual sources and correlates with the number of boats present. A high spatial and seasonal variability due to coastal maritime traffic is observed in the broadband [100 Hz–30 kHz]. Closest to the traffic, the acoustic is punctuated by diel patterns of biological sounds and the use patterns of the boaters. In spite of an important diurnal flotilla (more than 550 boats per day), the nocturnal activity of fish remains an important element on the soundscape (average and median levels higher during the night).

中文翻译：

---

沿海海上交通的声音和图像监视：对声景的影响。

由于缺乏自动识别系统数据（占卡尔维湾舰队的3.7％），沿海环境的声学监测存在困难。具体视觉监视协议已经使用广角相机的GoPro设置在照相天文台^®。船的检测和定位由两种图像处理算法完成，并允许创建3.48 km ²的水上交通地图。海洋噪声通过与交通信息相关的两个不同的尺度（个人尺度和全球尺度）进行描述。声压级表征各个声源并与最近的船的距离相关，而环境噪声级表征无单个声源的背景并与存在的船数相关。在宽带[100 Hz–30 kHz]中，观察到由于沿海海上交通造成的高空间和季节性变化。离交通最近的地方，声音被生物声音的diel模式和划船者的使用模式所打断。尽管日间船队很重要（每天有超过550条船），但鱼的夜间活动仍然是声景上的重要元素（夜间的平均水平和中位水平更高）。