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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Published in:Remote Sensing
Main Authors: Junjun Yang, Zhicai Luo, Liangcheng Tu, Shanshan Li, Jingxue Guo, Diao Fan
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:https://doi.org/10.3390/rs12244092
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spelling 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
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic airborne gravity gradient
seafloor topography
admittance
simulated annealing
spellingShingle 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
topic_facet 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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