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Remote Sensing
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Advances in Remote Sensing and Applications in Geodesy and Gravity...
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Advances in Remote Sensing and Applications in Geodesy and Gravity Field Modeling

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Earth Observation Data".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 965

Special Issue Editors

Dr. Vassilios N. Grigoriadis

E-Mail Website
Guest Editor
Laboratory of Gravity Field Research and Applications, Department of Geodesy and Surveying, School of Rural and Surveying Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Interests: gravity field modeling; geoid modeling; satellite geodesy; marine geodesy; geodetic reference systems unification
Prof. Dr. Vassilios D. Andritsanos

E-Mail Website
Guest Editor
Geospatial Technologies Lab, Department of Surveying and Geoinformatics Engineering, University of West Attica, 12243 Athens, Greece
Interests: gravity field modeling; geoid modeling; satellite geodesy; marine geodesy; geodetic reference systems unification

Special Issue Information

Dear Colleagues,

In recent decades, geodesy and gravity field modeling have further evolved theoretically, while applications have taken advantage of the vast amount of new and recent remotely sensed data. This was made possible thanks to new and improved instrumentation both for terrestrial and satellite measurements and observations. Due to this large number of new datasets and their contribution to various frequency bands of the gravity signal, products and models have been developed that also serve as the basis for other scientific fields. Hence, significant improvements may be found in global geopotential models, height systems and their unification, gravity databases, geoid modeling, water cycle and storage, the forward and inverse modeling of masses, geodynamics, satellite altimetry, ocean topography and circulation, amongst others.

In this Special Issue, we welcome contributions, especially from younger colleagues, that pertain to local, regional, and global gravity field modeling and aim to include new theoretical and methodological aspects that lead to new or enhanced geodetic results and applications. These may refer to a static and/or time-varying gravity field and be focused on gravimetry and instrumentation, gravity networks, modeling of the topographic masses, geoid modeling, heterogeneous data combination techniques, satellite geodesy — including past and recent satellite missions — gravity inversion, as well as multidisciplinary applications that are based on gravity field modeling.

Dr. Vassilios N. Grigoriadis
Prof. Dr. Vassilios D. Andritsanos
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • gravity field modeling
  • geoid modeling
  • satellite geodesy
  • height system
  • forward modeling
  • satellite altimetry
  • water storage
  • inverse modeling
  • global geopotential model
  • gravity network

Published Papers (1 paper)

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15 pages, 2736 KiB  
Technical Note
A Direct Approach for Local Quasi-Geoid Modeling Based on Spherical Radial Basis Functions Using a Noisy Satellite-Only Global Gravity Field Model
by Haipeng Yu, Guobin Chang, Yajie Yu and Shubi Zhang
Remote Sens. 2024, 16(10), 1731; https://doi.org/10.3390/rs16101731 - 14 May 2024
Viewed by 213
Abstract
The remove–compute–restore (RCR) approach is widely used in local quasi-geoid modeling. However, the classical RCR approach usually does not take into account the noise of the satellite-only global gravity field model (GGM), which may lead to a suboptimal result. This paper presents an [...] Read more.
The remove–compute–restore (RCR) approach is widely used in local quasi-geoid modeling. However, the classical RCR approach usually does not take into account the noise of the satellite-only global gravity field model (GGM), which may lead to a suboptimal result. This paper presents an approach for local quasi-geoid modeling based on spherical radial basis functions that combines local noisy datasets and a noisy satellite-only GGM. This approach includes an RCR procedure using a satellite-only GGM. This is a direct approach that takes the spherical harmonic coefficients of satellite-only GGM as a noisy dataset and includes the corresponding full-noise covariance matrix in the least-squares estimation, aiming to obtain a statistically optimal local quasi-geoid model. The direct approach goes beyond the indirect approach, which treats the height anomalies generated from the satellite-only GGM as a noisy dataset. However, the generated GGM height anomaly dataset is not an equivalent representation of the satellite-only GGM, which may result in the loss of information from the satellite-only GGM. Through mathematical deduction, we demonstrate the theoretical consistency between the direct approach and the indirect approach. The direct approach also has an advantage over the indirect approach in terms of computational complexity due to the simpler algorithm. We conducted a synthetic closed-loop test with a real data distribution in Colorado, and numerical results demonstrated the advantage of the direct approach in local quasi-geoid modeling. In terms of the root mean square of the differences between the predicted values and the true reference values, the direct approach provided an improvement of approximately 14% compared to the indirect approach. Full article
(This article belongs to the Special Issue Advances in Remote Sensing and Applications in Geodesy and Gravity Field Modeling)
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