Article from Volume 30, Issue 2

Article from Volume 30, Issue 2

**Revolutionary Techniques in Bathymetric Mapping: A Focus on AI-Based Optical Hydrography**

In the realm of hydrography, an innovative approach is gaining traction – the extraction of spatiotemporal-resolved bathymetry from satellite imagery using AI-based optical hydrography. This groundbreaking method, which utilizes satellite-derived bathymetry (SDB) techniques, is set to revolutionize the way we map shallow waters, eliminating the need for on-site surveys in many cases.

## The Power of Satellite-Derived Bathymetry (SDB)

SDB harnesses the power of optical satellite data to derive water depth information, making it particularly effective for monitoring nearshore changes and improving coastal zone management on a global scale. The technology's potential is further amplified by the integration of artificial intelligence (AI), which enhances image processing and depth estimation, leading to more precise bathymetric models.

## Tools and Applications

EOMAP, a company specialising in Earth Observation, offers a web app called eoapp SDB-Online. This tool allows users to generate satellite-derived bathymetry data, providing high-resolution bathymetry without the need for extensive fieldwork.

## Related Studies and Techniques

Researchers have also explored the use of Sentinel-2 satellite imagery for coastal bathymetry estimation, employing techniques like the spatial DFT method to estimate wave characteristics and derive bathymetric data. While not directly part of optical hydrography, lidar technology, particularly bathymetric lidar, offers a complementary approach for mapping underwater environments with high accuracy.

## The Future of Bathymetric Data Extraction

The future of bathymetric data extraction lies in the development of data-efficient methods for optical hydrography. This includes using domain-specific techniques to enhance the performance of bathymetry estimation models with limited data. Collaboration and interdisciplinary approaches between remote sensing, AI researchers, and hydrography experts will also play a crucial role in further improving the accuracy and applicability of satellite-derived bathymetry.

In conclusion, AI-based optical hydrography is transforming the field of bathymetry by allowing for rapid, remote, and cost-effective extraction of bathymetric data from satellite imagery. This technology holds immense potential for improving coastal management practices globally.

[1] EOMAP (2021). eoapp SDB-Online. Retrieved from https://www.eomap.net/eoapp-sdb-online [2] National Oceanic and Atmospheric Administration (NOAA). (2021). Bathymetric Lidar. Retrieved from https://oceanservice.noaa.gov/facts/bathymetric-lidar.html [3] Grabbert, P., et al. (2021). Remote Sensing, 13(21), 4131. [4] Reithmeier, M., et al. (2021). Remote Sensing, 13(19), 4055.

1. Science continues to advance with the use of artificial intelligence (AI) in various fields, such as hydrography, where AI-based optical hydrography is revolutionizing bathymetric mapping.
2. The integration of AI in image processing and depth estimation leads to more precise bathymetric models, greatly benefiting coastal zone management.
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