Review of near-shore satellite derived bathymetry: Classification and account of five decades of coastal bathymetry research

Ashphaq, Mohammad; Srivastava, Pankaj Kumar; Mitra, Debashis

doi:10.1016/j.joes.2021.02.006

Cited by 88 publications

(53 citation statements)

References 69 publications

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“…This method is one of the most commonly used methods in SDB studies, as it proved to provide accurate results and does not require many points for the calibration phase [18,23]. The advantages are that only two parameters need to be set and it works on all types of albedos.…”

Section: Ratio Transform Methodsmentioning

confidence: 99%

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Very High-Resolution Satellite-Derived Bathymetry and Habitat Mapping Using Pleiades-1 and ICESat-2

et al. 2021

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Accurate and reliable bathymetric data are needed for a wide diversity of marine research and management applications. Satellite-derived bathymetry represents a time saving method to map large shallow waters of remote regions compared to the current costly in situ measurement techniques. This study aims to create very high-resolution (VHR) bathymetry and habitat mapping in Mayotte island waters (Indian Ocean) by fusing 0.5 m Pleiades-1 passive multispectral imagery and active ICESat-2 LiDAR bathymetry. ICESat-2 georeferenced photons were filtered to remove noise and corrected for water column refraction. The bathymetric point clouds were validated using the French naval hydrographic and oceanographic service Litto3D® dataset and then used to calibrate the multispectral image to produce a digital depth model (DDM). The latter enabled the creation of a digital albedo model used to classify benthic habitats. ICESat-2 provided bathymetry down to 15 m depth with a vertical accuracy of bathymetry estimates reaching 0.89 m. The benthic habitats map produced using the maximum likelihood supervised classification provided an overall accuracy of 96.62%. This study successfully produced a VHR DDM solely from satellite data. Digital models of higher accuracy were further discussed in the light of the recent and near-future launch of higher spectral and spatial resolution satellites.

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Section: Ratio Transform Methodsmentioning

confidence: 99%

“…Some physics-based models are entirely based on the inversion of the radiative transfer model, such as WASI and BOMBER, but they can be complex to implement [14][15][16]. On the other hand, empirical models are limited by the need to calibrate the MS imagery with in situ measurements [17,18].…”

Section: Introductionmentioning

confidence: 99%

Very High-Resolution Satellite-Derived Bathymetry and Habitat Mapping Using Pleiades-1 and ICESat-2

et al. 2021

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“…The concept dates back to the 1970s and research is continuing to gradually integrate this type of data into the nautical chart production chain. In contrast to other survey methods, it requires no mobilization of persons or equipment [41,42].…”

Section: Underwater Optical Survey Solutions a Panel Of Technologiesmentioning

confidence: 99%

“…This approach allows one to get better than 1 m vertical accuracy [40] but needs either known in situ information of the bathymetry for empirical modelling or precise atmospheric correction for analytical modelling. In [40], a photogrammetric approach through water is proposed to achieve the same level of accuracy as the two SDB techniques described in [41,42].…”

Section: Underwater Optical Survey Solutions a Panel Of Technologiesmentioning

confidence: 99%

Underwater Survey for Oil and Gas Industry: A Review of Close Range Optical Methods

et al. 2021

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In both the industrial and scientific fields, the need for very high-resolution cartographic data is constantly increasing. With the aging of offshore subsea assets, it is very important to plan and maintain the longevity of structures, equipment, and systems. Inspection, maintenance, and repair (IMR) of subsea structures are key components of an overall integrity management system that aims to reduce the risk of failure and extend the life of installations. The acquisition of very detailed data during the inspection phase is a technological challenge, especially since offshore installations are sometimes deployed in extreme conditions (e.g., depth, hydrodynamics, visibility). After a review of high resolution mapping techniques for underwater environment, this article will focus on optical sensors that can satisfy the requirements of the offshore industry by assessing their relevance and degree of maturity. These requirements concern the resolution and accuracy but also cost, ease of implementation, and qualification. With the evolution of embedded computing resources, in-vehicle optical survey solutions are becoming increasingly important in the landscape of large-scale mapping solutions and more and more off-the-shelf systems are now available. The issues raised in this review are mainly related to the qualification of the results produced by optical systems and their limitations to cover all the needs expressed by the oil and gas industry field. Interesting qualification works of these solutions are presented in this paper as well as the use of online processing tools such as visual odometry or VSLAM to guide the data acquisition and pre-qualified survey. Finally, it seems interesting to combine acoustic and optical technologies in order to extend the field of application of these methods to low visibility conditions, which remains one of the main limiting factors in the generalization of the use of optical sensors in high resolution underwater cartography applications.

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“…Collecting global-scale bathymetry using traditional technologies, namely sonar or airborne LiDAR, is logistically challenging and prohibitively costly, however. For this reason, there has been a search for over 50 years for a robust and reproducible way to retrieve bathymetry from satellite data (Ashphaq et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

The Prospect of Global Coral Reef Bathymetry by Combining Ice, Cloud, and Land Elevation Satellite-2 Altimetry With Multispectral Satellite Imagery

Gleason

Smith²,

Purkis

et al. 2021

Front. Mar. Sci.

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Empirical methods for estimating shallow-water bathymetry using passive multispectral satellite imagery are robust and globally applicable, in theory, but they require copious local measurements of water depth for algorithm calibration. Such calibration data have historically been unavailable for most locations, but NASA’s Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2), a satellite-based LiDAR, might hold unique promise to fill this critical data gap. Although ICESat-2 was not designed as a marine altimeter, its ATLAS sensor consists of six green (532 nm) lasers that can penetrate a water surface and return photons reflected by the seabed, thereby generating bathymetric profiles. Utilizing TCarta’s NSF SBIR-funded Space-Based Laser Bathymetry Extraction Tool and ICESat-2’s ATL03 geolocated photon data product, we have compared ICESat-2 bathymetric retrievals with a portfolio of soundings acquired in situ using a vessel-mounted single-beam echosounder. This analysis demonstrated very high correlation (R2 = 0.96) between the field and space-based bathymetry data. The comparisons were made at multiple Caribbean and Pacific coral reef sites over water depths ranging from 1 to 20 m. Results suggest that ICESat-2 could be an effective approach for calibrating and validating empirical and radiative transfer methods, alike, for estimating shallow-water bathymetry from remote sensing imagery, thereby enabling the immediate potential for shallow-water bathymetric mapping of Earth’s reefs.

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Review of near-shore satellite derived bathymetry: Classification and account of five decades of coastal bathymetry research

Cited by 88 publications

References 69 publications

Very High-Resolution Satellite-Derived Bathymetry and Habitat Mapping Using Pleiades-1 and ICESat-2

Very High-Resolution Satellite-Derived Bathymetry and Habitat Mapping Using Pleiades-1 and ICESat-2

Underwater Survey for Oil and Gas Industry: A Review of Close Range Optical Methods

The Prospect of Global Coral Reef Bathymetry by Combining Ice, Cloud, and Land Elevation Satellite-2 Altimetry With Multispectral Satellite Imagery

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