SPOT shallow water bathymetry of a moderately turbid tidal inlet based on field measurements

Lafon, Virginie; Froidefond, Jean-Marie; Lahet, Florence; Castaing, Patrice

doi:10.1016/s0034-4257(01)00340-6

Cited by 106 publications

(82 citation statements)

References 25 publications

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“…The higher value of EC from (2004) Tirumarugal suggests the enrichment of salt due to evaporation effect. Like pH, EC is also higher Nagapattinam, Tirumarugal, because of additional leaching from sand dunes, municipal wastes and intense agricultural activities compared to other areas [11,12].…”

Section: -2014mentioning

confidence: 99%

Environmental Impacts Assessment of Brackish Water Aquaculture Activity in Nagapattinam Region, South East coast of India

C¹,

Govindaraj²

2016

J Environ Anal Toxicol

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Section: -2014mentioning

confidence: 99%

Environmental Impacts Assessment of Brackish Water Aquaculture Activity in Nagapattinam Region, South East coast of India

C¹,

Govindaraj²

2016

J Environ Anal Toxicol

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“…Jupp's, Stumpf and Lyzenga were used, where the depth was found to be less than 30 m with different methodologies used. The empirical model (SPOT-5 imagery) can yield the accuracy of 0.5 m based on in-situ data [15]. In shallow waters, empirical fitting is time-efficient, but requires real-time highdensity depth soundings to provide precise results.…”

Section: Summary and Discussionmentioning

confidence: 99%

“…Applications of this model to the entire satellite image results in the generation of a bathymetric map. The empirical modeling method is valid given that the total water reflectance is related essentially to water depth, and to water turbidity [15]. This claim has been backed by Ji et al [16] who concluded that water column scattering dominates the exit radiance from the water except if it is very shallow and transparent water bottom [7].…”

Section: Bathymetric Measurements Using Optical Rsmentioning

confidence: 99%

A Synoptic Review on Deriving Bathymetry Information Using Remote Sensing Technologies: Models, Methods and Comparisons

Jawak¹,

Vadlamani²,

Luis³

2015

ARS

107

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This paper discusses the bathymetric mapping technologies by means of satellite remote sensing (RS) with special emphasis on bathymetry derivation models, methods, accuracies, advantages, limitations, and comparisons. Traditionally, bathymetry can be mapped using echo sounding sounders. However, this method is constrained by its inefficiency in shallow waters and very high operating logistic costs. In comparison, RS technologies present efficient and cost-effective means of mapping bathymetry over remote and broad areas. RS of bathymetry can be categorised into two broad classes: active RS and passive RS. Active RS methods are based on active satellite sensors, which emit artificial radiation to study the earth surface or atmospheric features, e.g. light detection and ranging (LIDAR), polarimetric synthetic aperture radar (SAR), altimeters, etc. Passive RS methods are based on passive satellite sensors, which detect sunlight (natural source of light) radiation reflected from the earth and thermal radiation in the visible and infrared portion of the electromagnetic spectrum, e.g. multispectral or optical satellite sensors. Bathymetric methods can also be categorised as imaging methods and non-imaging methods. The non-imaging method is elucidated by laser scanners or LIDAR, which measures the distance between the sensor and the water surface or the ocean floor using a single wave pulse or double waves. On the other hand, imaging methods approximate the water depth based on the pixel values or digital numbers (DN) (representing reflectance or backscatter) of an image. Imaging methods make use of the visible and/or near infrared (NIR) and microwave radiation. Imaging methods are implemented with either analytical modelling or empirical modelling, or by a blend of both. This paper presents the development of bathymetric mapping technology by using RS, and discusses the state-of-the-art S. D. Jawak et al. 148bathymetry derivation methods/algorithms and their implications in practical applications.

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“…Kutser et al [27] have proved that the bottom type and water depth of the Australian Great Barrier Reef (GBR) can be simultaneously mapped by matching the Hyperion at-sensor radiance data to the simulated at-sensor spectral library. Lafon et al [28] proposed a semi-empirical bathymetric methodology based on the Hydrolight Radiative Transfer code, which was calibrated using in situ bottom reflectance and effective attenuation coefficient measurements and then applied to determine the depth from SPOT images and to develop topographic maps of the tidal inlet of Arcachon. Lee et al [29][30][31] also developed a semi-analytical method for shallow water depth estimation using an inversion-optimization approach, which can simultaneously derive the water depth and water column properties from the hyperspectral data in coastal waters.…”

Section: Related Workmentioning

confidence: 99%

Bathymetry of the Coral Reefs of Weizhou Island Based on Multispectral Satellite Images

Huang

Wang

et al. 2017

Remote Sensing

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Shallow water depth measurements using multispectral images are crucial for marine surveying and mapping. At present, relevant studies either depend on the use of other auxiliary data (such as field water depths or water column data) or contain too many unknown variables, thus making these studies suitable only for images that contain enough visible wavebands. To solve this problem, a Quasi-Analytical Algorithm (QAA) approach is proposed in this paper for estimating the water depths around Weizhou Island by developing a QAA to estimate the diffuse attenuation coefficients and simplifying the parameterization of the bathymetric model. The approach contains an initialization sub-approach and a novel global adjustment sub-approach. It is not only independent of other auxiliary data but also greatly reduces the number of unknowns. Experimental results finally demonstrated that the Root Mean Square Errors (RMSEs) were 1.01 m and 0.77 m for the ZY-3 image and the WorldView-3 (WV-3) image, respectively, so the approach is competitive to other QAA bathymetric methods. Besides, the global adjustment sub-approach was also seen to be superior to common smoothing filters: if the Signal-to-Noise Ratio (SNR) is as low as 42, i.e., ZY-3, it can smooth the water depths and improve the accuracies, otherwise can avoid the over-smoothing of water depths.

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SPOT shallow water bathymetry of a moderately turbid tidal inlet based on field measurements

Cited by 106 publications

References 25 publications

Environmental Impacts Assessment of Brackish Water Aquaculture Activity in Nagapattinam Region, South East coast of India

Environmental Impacts Assessment of Brackish Water Aquaculture Activity in Nagapattinam Region, South East coast of India

A Synoptic Review on Deriving Bathymetry Information Using Remote Sensing Technologies: Models, Methods and Comparisons

Bathymetry of the Coral Reefs of Weizhou Island Based on Multispectral Satellite Images

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