Prediction of bathymetry from satellite altimeter based gravity in the Arabian Sea: Mapping of two unnamed deep seamounts

Jena, Babula; Kurian, P. John; Swain, Debadatta; Tyagi, A; Ravindra, Rasik

doi:10.1016/j.jag.2011.11.008

Cited by 31 publications

(14 citation statements)

References 6 publications

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“…Therefore, this result summarised that the gravity anomaly and bathymetry data have connection between each other and this is supported by the study made by Smith & Sandwell (2004). However, according to Smith (1997) and Jena (2012), the bathymetry or gravity ratio varies spatially because of the sediment thickness difference and other geological factors, and this will make the bathymetry estimation is a complex process.…”

Section: Pattern Between Gravity Anomaly and Bathymetry Datasupporting

confidence: 71%

Gravity Anomaly Assessment Using GGMS and Airborne Gravity Data Towards Bathymetry Estimation

Tugi

Din

Omar

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The Earth's potential information is important for exploration of the Earth's gravity field. The techniques of measuring the Earth's gravity using the terrestrial and ship borne technique are time consuming and have limitation on the vast area. With the space-based measuring technique, these limitations can be overcome. The satellite gravity missions such as Challenging Mini-satellite Payload (CHAMP), Gravity Recovery and Climate Experiment (GRACE), and Gravity-Field and Steady-State Ocean Circulation Explorer Mission (GOCE) has introduced a better way in providing the information on the Earth's gravity field. From these satellite gravity missions, the Global Geopotential Models (GGMs) has been produced from the spherical harmonics coefficient data type. The information of the gravity anomaly can be used to predict the bathymetry because the gravity anomaly and bathymetry have relationships between each other. There are many GGMs that have been published and each of the models gives a different value of the Earth's gravity field information. Therefore, this study is conducted to assess the most reliable GGM for the Malaysian Seas. This study covered the area of the marine area on the South China Sea at Sabah extent. Seven GGMs have been selected from the three satellite gravity missions. The gravity anomalies derived from the GGMs are compared with the airborne gravity anomaly, in order to figure out the correlation (R 2 ) and the root mean square error (RMSE) of the data. From these assessments, the most suitable GGMs for the study area is GOCE model, GO_CONS_GCF_2_TIMR4 with the R 2 and RMSE value of 0.7899 and 9.886 mGal, respectively. This selected model will be used in the estimating the bathymetry for Malaysian Seas in future.

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Section: Pattern Between Gravity Anomaly and Bathymetry Datasupporting

confidence: 71%

Gravity Anomaly Assessment Using GGMS and Airborne Gravity Data Towards Bathymetry Estimation

Tugi

Din

Omar

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…The calibrated radiance values in the infrared‐channel (859 nm) from Aqua‐Moderate Resolution Imaging Spectroradiometer acquired with the high spatial resolution of ~250 m; however, only few cloud free scenes were available. The bathymetry of the seamount was mapped using Earth Topography One‐Arc‐Minute Global Relief Model, 2009 (http://www.ngdc.noaa.gov; Jena et al, ) and converted to polyline features with a contour interval of 500 m for showing the seamount extent.…”

Section: Methodsmentioning

confidence: 99%

Recent Reoccurrence of Large Open‐Ocean Polynya on the Maud Rise Seamount

Jena

Ravichandran

Turner

2019

Geophysical Research Letters

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Satellite observations have shown that the largest and most prolonged Maud Rise open‐ocean polynya since the 1970s appeared on 14 September 2017 (~9.3 × 103 km2) within the seasonal sea‐ice cover which expanded maximum on 1 December 2017 (~298.1 × 103 km2) and existed for 79 days. Record negative anomalies of sea‐ice concentration were observed in and around the polynya. The occurrence of the polynya was associated with a large cyclonic eddy and negative wind stress curl that facilitated melting of sea‐ice. Concurrently, a region of positive sea level pressure anomalies extended over the entire northern Weddell Sea accompanied by record low negative anomalies (deep depressions) over the southwest Weddell Sea and the Maud Rise. The atmospheric circulation anomalies advected moist‐warm air from the midlatitudes, resulted a record atmospheric warming (~11.5 °C) in the Maud Rise that favored this rare event as one of the largest open‐ocean polynyas.

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“…ERS-1 completed its near-global mapping of sea surface topography in 1995, which was then used to reproduce the seafloor topography for data-constrained and deeper oceans [20]. Because the radar altimeter uses gravity anomalies to correlate bathymetry, this method is mostly applicable for deep sea regions for mapping large seamounts and guyots [21]. Furthermore, the estimation of bathymetry from gravity anomalies includes several mathematical models and is, therefore, a complicated approach.…”

Section: Introductionmentioning

confidence: 99%

Improved Bathymetric Mapping of Coastal and Lake Environments Using Sentinel-2 and Landsat-8 Images

Yunus

Dou

Song

et al. 2019

Sensors

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The bathymetry of nearshore coastal environments and lakes is 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 necessary information for scientific, managerial, and geographical studies. Recent advances in satellite technology revolutionized the acquisition of bathymetric profiles, offering new vistas in mapping. This contribution analyzed the suitability of Sentinel-2 and Landsat-8 images for bathymetric mapping of coastal and lake environments. The bathymetric algorithm was developed using an empirical approach and a random forest (RF) model based on the available high-resolution LiDAR bathymetric data for Mobile Bay, Tampa Bay, and Lake Huron regions obtained from the National Oceanic and Atmospheric Administration (NOAA) National Geophysical Data Center (NGDC). Our 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 the lake environment. While using the empirical approach, the root-mean-square error (RMSE) varied between 1.99 m and 4.74 m for the three regions. The RF model, on the other hand, provided an improved bathymetric model with RMSE between 1.13 m and 1.95 m. The comparative assessment suggests that Sentinel-2 has a slight edge over Landsat-8 images while employing the empirical approach. On the other hand, the RF model shows that Landsat-8 retrieves a better bathymetric model than Sentinel-2. Our work demonstrated that the freely available Sentinel-2 and Landsat-8 imageries proved to be reliable data for acquiring updated bathymetric information for large areas in a short period.

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Prediction of bathymetry from satellite altimeter based gravity in the Arabian Sea: Mapping of two unnamed deep seamounts

Cited by 31 publications

References 6 publications

Gravity Anomaly Assessment Using GGMS and Airborne Gravity Data Towards Bathymetry Estimation

Gravity Anomaly Assessment Using GGMS and Airborne Gravity Data Towards Bathymetry Estimation

Recent Reoccurrence of Large Open‐Ocean Polynya on the Maud Rise Seamount

Improved Bathymetric Mapping of Coastal and Lake Environments Using Sentinel-2 and Landsat-8 Images

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