Airborne CASI imagery for bathymetric study in Reunion Island (Indian Ocean)

Despinoy, Marc; Minghelli-Roman, Audrey; Bégué, Agnès; Petit, M.; Coudray, J.; Barcelo, A.

doi:10.1109/igarss.2003.1294444

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…Several methods were already developed in order to produce bathymetric maps [9], [10], [11]. These methods consisted in measuring the water attenuation by estimating the deep-water reflectance and the water depth with the assumption that the bottom reflectance attenuation is only due to the water column and therefore to the depth.…”

Section: Introductionmentioning

confidence: 99%

Bathymetric estimation through principal components analysis using IKONOS-2 data

Teodoro¹,

Gonçalves²,

Pais-Barbosa³

2010

Remote Sensing for Agriculture, Ecosystems, and Hydrology XII

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The use of satellite remote sensing images could be a valid alternative to the classical methods of bathymetric measurements for depths less than 30 meters. In this work, several pixels corresponding to different depths are considered to numerically evaluate the relation between the water spectral response and the real depth, in the Douro River Estuary (Porto, Portugal). The main concept relies on principal components analysis, which allows for combining the information of the n available spectral bands from the image into an equal number n of principal components. The dataset is composed by an IKONOS-2 image and bathymetric values. An initial analysis was performed in order to determine the viability of the data for bathymetric study of the Douro River estuary. It was proved that it was not possible to find any direct relationship between the DNs of the IKONOS-2 image and depth values. Therefore, a simple linear regression of the bathymetric values on the IKONOS-2 image principal components was considered. A significant correlation was found between the first principal component and the real depths. In the future, the use of simultaneous data and the use of other statistical models such as decision trees may also provide important contributes to improve this methodology.

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Section: Introductionmentioning

confidence: 99%

Bathymetric estimation through principal components analysis using IKONOS-2 data

Teodoro¹,

Gonçalves²,

Pais-Barbosa³

2010

Remote Sensing for Agriculture, Ecosystems, and Hydrology XII

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“…The system is inverted to yield depth estimation [7]. This technique has already been applied to high spatial resolution imagery such as CASI [8], SPOT [9] or Quickbird imagery [10]. In this letter, we apply the method to a MeRIS image.…”

Section: Introductionmentioning

confidence: 99%

Bathymetric Estimation Using MERIS Images in Coastal Sea Waters

Minghelli-Roman

Praly

Mathieu³

et al. 2007

IEEE Geosci. Remote Sensing Lett.

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Bathymetric estimation using remote sensing images has previously been applied to high spatial resolution imagery such as CASI, Ikonos or SPOT but not on medium spatial resolution images (i.e. MeRIS). This choice can be justified when there is a need to map the bathymetry on large areas. In this letter we present the results of the bathymetry estimation over a large known area, the Gulf of Lion (France), expanding over 270*180km.Index Terms − MeRIS, coastal zone, MERIS.

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Airborne CASI imagery for bathymetric study in Reunion Island (Indian Ocean)

Cited by 2 publications

References 3 publications

Bathymetric estimation through principal components analysis using IKONOS-2 data

Bathymetric estimation through principal components analysis using IKONOS-2 data

Bathymetric Estimation Using MERIS Images in Coastal Sea Waters

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