Coral reefs are fast-changing and complex ecosystems that are crucial to
monitor and study. Biological hotspot detection can help coral reef managers
prioritize limited resources for monitoring and intervention tasks. Here, we
explore the use of autonomous underwater vehicles (AUVs) with cameras, coupled
with visual detectors and photogrammetry, to map and identify these hotspots.
This approach can provide high spatial resolution information in fast feedback
cycles. To the best of our knowledge, we present one of the first attempts at
using an AUV to gather visually-observed, fine-grain biological hotspot maps in
concert with topography of a coral reefs. Our hotspot maps correlate with
rugosity, an established proxy metric for coral reef biodiversity and
abundance, as well as with our visual inspections of the 3D reconstruction. We
also investigate issues of scaling this approach when applied to new reefs by
using these visual detectors pre-trained on large public datasets.

利用自主水下车辆、视觉检测器和摄影测量的方法，我们成功地高分辨率地绘制和识别了珊瑚礁的生物热点图，并发现这些热点图与珊瑚礁生物多样性和丰富度的代理测量 —— 皱度具有一定的相关性，这为珊瑚礁保护管理提供了有价值的信息。