相关实验视频

Updated: Apr 11, 2026

Methods for Image-based Surveys of Benthic Macroinvertebrates and Their Habitat Exemplified by the Drop Camera Survey for the Atlantic Sea Scallop
07:43

Methods for Image-based Surveys of Benthic Macroinvertebrates and Their Habitat Exemplified by the Drop Camera Survey for the Atlantic Sea Scallop

Published on: July 2, 2018

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自动化水下图像分析揭示了热带大西洋的沉积物模式和巨型动物分布

Benson Mbani1, Jens Greinert2,3

  • 1DeepSea Monitoring Group, GEOMAR Helmholtz Center for Ocean Research Kiel, Wischhofstraße 1-3, 24148, Kiel, Germany. bmbani@geomar.de.

Scientific reports
|July 28, 2025
PubMed
概括

人工智能工作流程自动化了海底图像分析,揭示了七个不同的海底息地,并确定了影响北大西洋热带地区巨型动物分布的环境因素. 这促进了深海生态系统研究的进步.

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Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

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Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring13:35

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

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相关概念视频

Deep Sea Microbial Ecology01:18

Deep Sea Microbial Ecology

The deep ocean and its underlying sediments represent vast, largely unexplored microbial habitats that extend far beyond the sunlit photic zone. The photic (euphotic) zone typically spans the upper ~100–200 meters of pelagic waters in the open ocean, but its depth varies geographically and seasonally, where sufficient light supports photosynthetic life. Below this lies the deep sea, spanning roughly 1000–6000 meters (bathypelagic to abyssal zones), with deeper hadal trenches...
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