On the Feasibility of Seafloor Topography Estimation from Airborne Gravity Gradients: Performance Analysis Using Real Data
Compared with airborne gravimetry, a technique frequently used to infer the seafloor topography at places inaccessible to ship soundings due to the presence of ice shelf or ice mélange, airborne gravity gradiometry inherently could achieve higher spatial resolution, thus it is promising for improved...
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ftmdpi:oai:mdpi.com:/2072-4292/12/24/4092/ 2023-08-20T04:07:18+02:00 On the Feasibility of Seafloor Topography Estimation from Airborne Gravity Gradients: Performance Analysis Using Real Data Junjun Yang Zhicai Luo Liangcheng Tu Shanshan Li Jingxue Guo Diao Fan agris 2020-12-15 application/pdf https://doi.org/10.3390/rs12244092 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs12244092 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 24; Pages: 4092 airborne gravity gradient seafloor topography admittance simulated annealing Text 2020 ftmdpi https://doi.org/10.3390/rs12244092 2023-08-01T00:40:10Z Compared with airborne gravimetry, a technique frequently used to infer the seafloor topography at places inaccessible to ship soundings due to the presence of ice shelf or ice mélange, airborne gravity gradiometry inherently could achieve higher spatial resolution, thus it is promising for improved inference of seafloor topography. However, its estimation capability has not been demonstrated by real projects. Theoretical analysis through admittance shows that compared with gravity disturbance, gravity gradient is more sensitive to the short-wavelength seafloor topography but diminishes faster with the increase of the distance between the seafloor and airplane, indicating its superiority is recovering short-wavelength topographic features over shallow waters. We present the first numerical experiment that estimates seafloor topography from a 0.4-km resolution, real airborne gravity gradients. It is shown that airborne gravity gradiometry can recover smaller topographic features than typical airborne gravimetry, but the estimation accuracy is only ±17 m due to the presence of subsurface density variations. The long-wavelength effect of the subsurface density variations can be removed with the aid of constraining bathymetry inside the study area, whereas the short wavelengths cannot. This study expands the applications of airborne gravity gradiometry, and helps glaciologists understand its performance in seafloor topography estimation. Text Ice Shelf MDPI Open Access Publishing Remote Sensing 12 24 4092 |
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MDPI Open Access Publishing |
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English |
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airborne gravity gradient seafloor topography admittance simulated annealing |
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airborne gravity gradient seafloor topography admittance simulated annealing Junjun Yang Zhicai Luo Liangcheng Tu Shanshan Li Jingxue Guo Diao Fan On the Feasibility of Seafloor Topography Estimation from Airborne Gravity Gradients: Performance Analysis Using Real Data |
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airborne gravity gradient seafloor topography admittance simulated annealing |
description |
Compared with airborne gravimetry, a technique frequently used to infer the seafloor topography at places inaccessible to ship soundings due to the presence of ice shelf or ice mélange, airborne gravity gradiometry inherently could achieve higher spatial resolution, thus it is promising for improved inference of seafloor topography. However, its estimation capability has not been demonstrated by real projects. Theoretical analysis through admittance shows that compared with gravity disturbance, gravity gradient is more sensitive to the short-wavelength seafloor topography but diminishes faster with the increase of the distance between the seafloor and airplane, indicating its superiority is recovering short-wavelength topographic features over shallow waters. We present the first numerical experiment that estimates seafloor topography from a 0.4-km resolution, real airborne gravity gradients. It is shown that airborne gravity gradiometry can recover smaller topographic features than typical airborne gravimetry, but the estimation accuracy is only ±17 m due to the presence of subsurface density variations. The long-wavelength effect of the subsurface density variations can be removed with the aid of constraining bathymetry inside the study area, whereas the short wavelengths cannot. This study expands the applications of airborne gravity gradiometry, and helps glaciologists understand its performance in seafloor topography estimation. |
format |
Text |
author |
Junjun Yang Zhicai Luo Liangcheng Tu Shanshan Li Jingxue Guo Diao Fan |
author_facet |
Junjun Yang Zhicai Luo Liangcheng Tu Shanshan Li Jingxue Guo Diao Fan |
author_sort |
Junjun Yang |
title |
On the Feasibility of Seafloor Topography Estimation from Airborne Gravity Gradients: Performance Analysis Using Real Data |
title_short |
On the Feasibility of Seafloor Topography Estimation from Airborne Gravity Gradients: Performance Analysis Using Real Data |
title_full |
On the Feasibility of Seafloor Topography Estimation from Airborne Gravity Gradients: Performance Analysis Using Real Data |
title_fullStr |
On the Feasibility of Seafloor Topography Estimation from Airborne Gravity Gradients: Performance Analysis Using Real Data |
title_full_unstemmed |
On the Feasibility of Seafloor Topography Estimation from Airborne Gravity Gradients: Performance Analysis Using Real Data |
title_sort |
on the feasibility of seafloor topography estimation from airborne gravity gradients: performance analysis using real data |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12244092 |
op_coverage |
agris |
genre |
Ice Shelf |
genre_facet |
Ice Shelf |
op_source |
Remote Sensing; Volume 12; Issue 24; Pages: 4092 |
op_relation |
Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs12244092 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs12244092 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
24 |
container_start_page |
4092 |
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1774718805400879104 |