MISR-based passive optical bathymetry from orbit with few-cm level of accuracy on the Salar de Uyuni, Bolivia

Bills, B. G.; Borsa, A. A.; Comstock, R. L.

doi:10.1016/j.rse.2006.11.006

Cited by 17 publications

(12 citation statements)

References 94 publications

(88 reference statements)

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“…Previously, optical depth estimation models have mainly been applied to clear oligotrophic waters (Lafon et al 2002;Gao 2009;Minghelli-Roman et al 2009), or have been modified to include additional information collected in situ or from multiple images (Lafon et al 2002;Bills, Borsa, and Comstock 2007;Kao et al 2009). Even algorithms applied to clear ocean waters are often trained using lidar or sounding data obtained specifically for a study.…”

Section: Introductionmentioning

confidence: 99%

Multispectral derivation of bathymetry in Singapore's shallow, turbid waters

Bramante

Raju

Sin

2012

International Journal of Remote Sensing

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In very shallow waters, active sensing determinations of bathymetry are often expensive and unwieldy. Sea depth estimation using passive remote-sensing methods is an attractive alternative, especially using cheap multispectral imagery with high spatial resolution. Three models for the determination of bathymetry from multispectral imagery were utilized with new eight-band images from DigitalGlobe's Worldview-2 satellite platform. All three were trained with electronic navigational chart data and evaluated for accuracy in Singapore's turbid shallow coastal waters. These waters are characterized by high turbidity, suspended sediment, and vehicle traffic. Of the three models, a linear band algorithm performed best, with a root-mean-square error (RMSE) of 0.48 m. A look-up table classification provided a precision of 0.64 m, but was limited by a training set that did not fully represent variance in water column and benthic properties. Possibly owing to the domination of particle backscatter over pigment absorption in these turbid waters, a linear ratio algorithm did not perform as well as the linear band algorithm, achieving an RMSE of only 0.56 m. Analysis found that the usual relationship between ratios of low-absorption to high-absorption bands and depth does not hold as well for these waters, likely due to backscatter dominating leaving-water signals, masking relative absorption effects. High turbidity, with a Secchi disk depth of 1.9 m, limited analysis to shallow reefs and coastline and likely impacted the sensitivity of the bathymetric algorithms. A larger validation data set containing water quality and benthic data is required for further investigation to determine specific sources of error.

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Section: Introductionmentioning

confidence: 99%

Multispectral derivation of bathymetry in Singapore's shallow, turbid waters

Bramante

Raju

Sin

2012

International Journal of Remote Sensing

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“…independent estimate of geoid-referenced topography obtained via optical absorption measurements of the flooded salar from the Multiangle Imaging Spectroradiometer (MISR) [Bills et al, 2007] (Figure 10b). Bills et al [2007] specifically measure water depth, but since the water surface is also nominally an equipotential surface, their method gives height with respect to the salar equipotential surface. Despite possible error in the MISR measurement due to wind forcing, the two estimates of residual topography are remarkably similar.…”

Section: Resultsmentioning

confidence: 99%

Modeling the topography of the salar de Uyuni, Bolivia, as an equipotential surface of Earth's gravity field

2008

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[1] The salar de Uyuni is a massive dry salt lake that lies at the lowest point of an internal drainage basin in the Bolivian Altiplano. A kinematic GPS survey of the salar in September 2002 found a topographic range of only 80 cm over a 54 Â 45 km area and subtle surface features that appeared to correlate with mapped gravity. In order to confirm the correlation between topography and gravity/geopotential, we use local gravity measurements and the EGM96 global geopotential model to construct a centimeter-level equipotential surface corresponding to the elevation of the salar. Our comparison of GPS survey elevations with the equipotential surface estimate shows that 63% of the variance of the GPS elevations can be explained by equipotential surface undulations (and long-wavelength error) in the EGM96 model alone, with an additional 30% explained by the shorter-wavelength equipotential surface derived from local gravity. In order to establish a physical connection between topography and the geopotential, we also develop and test a simple surface process model that redistributes salt via the dissolution, transport, and redeposition of salt by precipitated water. Forcing within the model pushes the system to evolve toward constant water depth, with the salt surface approximating the shape of the local equipotential surface. Since the model removes almost all topographic relief with respect to the equipotential surface within a matter of decades, it appears that observed ($5 cm amplitude, $5 km wavelength) residual topography is actively maintained by a process independent of gravity-driven fluid flow.

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“…LiDAR offers about 70% reduction in operating costs when compared with standard ship surveys [18], however is again having spatial and temporal constraints. Satellite LiDAR (e.g., ICESat) have also been used to estimate water depth in clear waters with high accuracy in conjunction with Spectro-Radiometers and other remote sensing data [19,20].…”

Section: Introductionmentioning

confidence: 99%

High Resolution Sentinel-2 Images for Improved Bathymetric Mapping of Coastal and Lake Environments

Yunus¹,

Dou²,

Song³

et al. 2019

Preprint

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Bathymetry of nearshore coastal environments and lakes are constantly reworking because of the change in the patterns of energy dispersal and related sediment transport pathways. Therefore, updated and accurate bathymetric models are a crucial component in providing basic information for scientific, managerial, and geographical studies. Recent advances in satellite technology have revolutionized the acquisition of bathymetric profiles, offering new vistas in mapping. This contribution analysed the suitability of high resolution Sentinel-2 images for bathymetric mapping of coastal and lake environments. The bathymetric algorithm for satellite imageries was developed based on the available high resolution bathymetric data for Mobile Bay, Tampa Bay and Lake Huron regions obtained from National Oceanic and Atmospheric Administration (NOAA) National Geophysical Data Center (NGDC). The results demonstrate that the satellite derived bathymetry is efficient for retrieving depths up to 10 m for coastal regions and up to 30 m for lake environment. The root mean square error (RMSE) varies between 1.99 m and 2.80 m for the three regions. A comparison of Sentinel-2 derived bathymetry is also carried with the Landsat 8 OLI derived bathymetry. The results suggest Sentinel-2 images are capable of producing much accurate bathymetric maps than those from the Landsat 8 OLI images. Our work demonstrated that the freely available Sentinel-2 imagery proved to be a reliable method for acquiring updated high resolution bathymetric information for large areas in short span of time.

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MISR-based passive optical bathymetry from orbit with few-cm level of accuracy on the Salar de Uyuni, Bolivia

Cited by 17 publications

References 94 publications

Multispectral derivation of bathymetry in Singapore's shallow, turbid waters

Multispectral derivation of bathymetry in Singapore's shallow, turbid waters

Modeling the topography of the salar de Uyuni, Bolivia, as an equipotential surface of Earth's gravity field

High Resolution Sentinel-2 Images for Improved Bathymetric Mapping of Coastal and Lake Environments

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