USING A MULTIBEAM ECHOSOUNDER TO MONITOR AN ARTIFICIAL REEF

10 citations as recorded by crossref.

1. Characterizing the three‐dimensional distribution of schooling reef fish with a portable multibeam echosounder M. Holland et al. https://doi.org/10.1002/lom3.10427
2. Artificial Reef Detection Method for Multibeam Sonar Imagery Based on Convolutional Neural Networks Z. Dong et al. https://doi.org/10.3390/rs14184610
3. High-resolution mapping of artificial reefs in southern California: Linking sonar-derived habitat metrics to reef construction material and design J. Claisse et al. https://doi.org/10.1371/journal.pone.0357087
4. Image-Based Estimation of Cubic Artificial Reef Settlement and Projected Remaining-Area Ratio Using Mask R-CNN T. Chau et al. https://doi.org/10.3390/jmse14191779
5. High-resolution mapping of artificial reefs to support marine spatial planning: a case study from the Central Adriatic Sea A. Tassetti et al. https://doi.org/10.1080/17445647.2025.2597814
6. Characterisation of Terrain Variations of an Underwater Ancient Town in Qiandao Lake F. Yang et al. https://doi.org/10.3390/rs12020268
7. Integrated geomatics for seamless coastal mapping: a vulnerable coastline in the central Adriatic Sea A. Tassetti et al. https://doi.org/10.1080/19475705.2025.2584699
8. Artificial structure selection by economically important reef fishes at North Carolina artificial reefs R. Tharp et al. https://doi.org/10.3389/fmars.2024.1373494
9. An optimized outlier detection function for multibeam echo-sounder data T. Ziolkowski et al. https://doi.org/10.1016/j.cageo.2024.105572
10. Development of a Quantitative Survey Method for Pelagic Fish Aggregations Around an Offshore Wind Farm Using Multibeam Sonar M. Hamana et al. https://doi.org/10.3390/rs17183255