Validation of VDatum in Southeastern Louisiana and Western Coastal Mississippi

Nwankwo, Uchenna; Howden, Stephan; Wells, David; Connon, B.

doi:10.1080/01490419.2020.1846644

Cited by 6 publications

(5 citation statements)

References 3 publications

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“…Depth points were initially recorded in relation to the vertical reference system of the Mean Low Water (MLW) and the vertical reference system of the Mean Lower Low Water (MLLW). In view of the above, the transformation was performed using the VDatum tool [ 43 , 44 , 45 ], which allowed the depth data to be assigned a NAVD 88 system. The final stage of the depth data preparation involved the generation of a DTM in the form of a GRID model.…”

Section: Review Of Gnss Hydroacoustic and Optoelectronic Data Integration Methodsmentioning

confidence: 99%

Analysis of GNSS, Hydroacoustic and Optoelectronic Data Integration Methods Used in Hydrography

Lewicka

Specht²,

Stateczny

et al. 2021

Sensors

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The integration of geospatial data in hydrography, performed using different measurement systems, involves combining several study results to provide a comprehensive analysis. Each of the hydroacoustic and optoelectronic systems is characterised by a different spatial reference system and the method for technical implementation of the measurement. Therefore, the integration of hydrographic data requires that problems in selected fields of electronics, geodesy and physics (acoustics and optics) be solved. The aim of this review is to present selected fusion methods applying the data derived from Global Navigation Satellite System (GNSS), Real Time Kinematic (RTK) measurements, hydrographic surveys, a photogrammetric pass using unmanned vehicles and Terrestrial Laser Scanning (TLS) and compare their accuracy. An additional goal is the evalution of data integration methods according to the International Hydrographic Organization (IHO) S-44 standard. The publication is supplemented by implementation examples of the integration of geospatial data in the Geographic Information System (GIS). The methods described indicate the lack of a uniform methodology for data fusion due to differences in both the spatial reference systems and the techniques used. However, the integration of hydroacoustic and optoelectronic data allows for high accuracy geospatial data to be obtained. This is confirmed by the methods cited, in which the accuracy of integrated geospatial data was in the order of several centimetres.

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Section: Review Of Gnss Hydroacoustic and Optoelectronic Data Integration Methodsmentioning

confidence: 99%

Analysis of GNSS, Hydroacoustic and Optoelectronic Data Integration Methods Used in Hydrography

Lewicka

Specht²,

Stateczny

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Sea level data obtained using the ellipsoidal height from the GNSS antenna were referenced to the North American Datum 1983, National Adjustment 2011 (NAD83(2011)). The data had been used to estimate the storm surge at the buoy location in comparison to that at a coastal sea level gauge (Nwankwo et al., 2020). Hence, the buoy data was considered viable in estimating MSB sea level anomalies.…”

Section: Data and Data Processingmentioning

confidence: 99%

“…The HFR data have gaps for various reasons. For example, if tropical storm force winds are forecasted to strike a station within 72 hr, the station is removed and this disrupts surface current observation as noted in Nwankwo et al (2020) for the analysis of Hurricane Nate. Furthermore, calm seas have few waves to backscatter transmitted signals (Liu et al, 2010).…”

Section: Hfr Datamentioning

confidence: 99%

“…However, they provide measurements mostly near‐shore, at single points and are not evenly distributed. Offshore sea level can be measured using bottom‐mounted pressure sensors (with a correction for atmospheric pressure) and/or Global Navigation Satellite System (GNSS) installed on buoys (Bisnath et al., 2004; Nwankwo et al., 2019). Sea level observations utilizing GNSS receivers on buoys can be approximated to be from a single point like in coastal tide gauges and staffs and provide absolute (e.g., geodetic) sea level measurements.…”

Section: Introductionmentioning

confidence: 99%

“…Sea level observations utilizing GNSS receivers on buoys can be approximated to be from a single point like in coastal tide gauges and staffs and provide absolute (e.g., geodetic) sea level measurements. Sea level observations from these single point stations (tide gauges and buoys) are usually at high temporal resolutions (seconds‐hours intervals) (Nwankwo et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Subinertial Sea Surface Heights Anomalies Estimated Using High Frequency Radar Surface Current Data in the Mississippi Bight

et al. 2023

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To a first order approximation, there is a geostrophic flow in the ocean interior where temporal Rossby, Rossby and Ekman numbers are assumed to be small. The barotropic component of this flow results from the balance between the horizontal components of the Coriolis and pressure gradient forces where pressure gradients result from gradient in sea level (Cushman-Roisin & Beckers, 2012). Typically, the subinertial (defined here as timescales greater than 2-day) sea level gradient in the open ocean can be attributed to changes of currents in accordance with geostrophic balance. However, the dominance of the geostrophic balance becomes less certain on continental shelves (Lentz & Fewings, 2012). This is partly due to the varying bathymetry and stratification, both of which can contribute to the separation or overlap of the surface and bottom boundary layers (Lentz & Fewings, 2012), as well as the prevalence of high frequency (HF) non-linear processes (e.g., surface gravity waves; Woodworth et al., 2019). These changes in ocean dynamics complicates continental shelf processes

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Satellite Derived Bathymetry and Water Level Change in Beysehir Lake

Erkoç

2023

Journal of the Geological Society of India

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Several factors, including water level, depth, water quality, biodiversity, and tourist activities, play a crucial role in the sustainability of lakes, and therefore require constant monitoring. This study aimed to examine the water level changes of Lake Beysehir between 2015 and 2020 and determine whether there was a difference in bathymetry as the lake water level changed. To achieve this, lake water level data was first obtained from Copernicus Global Land Service, which uses satellite altimetry data to determine water level changes in Beysehir Lake. Sentinel-2 multispectral high-resolution satellite images obtained from Sentinel-Hub were then used to determine the depth of the lake. Finally, these high-resolution satellite images were processed using the open-source SNAP software developed by the European Space Agency. A decreasing trend of -9.8 ± 0.8 cm/yr in the lake water level between 2015 and 2020 was revealed by the analysis. The Empirical Satellite-Derived Bathymetry map was produced, and the maximum and average depth of the lake was determined after the required corrections were applied to the Sentinel-2 satellite images. The average depth, which was 8.44 meters in 2015, was found to have decreased to 4.06 meters in 2020. Additionally, a 0.92 correlation was found between the decrease in the lake water level and the average depth change.

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Validation of VDatum in Southeastern Louisiana and Western Coastal Mississippi

Cited by 6 publications

References 3 publications

Analysis of GNSS, Hydroacoustic and Optoelectronic Data Integration Methods Used in Hydrography

Analysis of GNSS, Hydroacoustic and Optoelectronic Data Integration Methods Used in Hydrography

Subinertial Sea Surface Heights Anomalies Estimated Using High Frequency Radar Surface Current Data in the Mississippi Bight

Satellite Derived Bathymetry and Water Level Change in Beysehir Lake

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