• Sorted by Date • Sorted by Last Name of First Author •
Borghi, Alessandra, Barzaghi, Riccardo, Al-Bayari, Omar, and Al Madani, Suhail, 2020. Centimeter Precision Geoid Model for Jeddah Region (Saudi Arabia). Remote Sensing, 12(12):2066, doi:10.3390/rs12122066.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2020RemS...12.2066B,
author = {{Borghi}, Alessandra and {Barzaghi}, Riccardo and {Al-Bayari}, Omar and {Al Madani}, Suhail},
title = "{Centimeter Precision Geoid Model for Jeddah Region (Saudi Arabia)}",
journal = {Remote Sensing},
keywords = {geoid undulation, hybrid geoid, least squares collocation, satellite-only GGMs, GOCE, GGMs, Jeddah},
year = 2020,
month = jun,
volume = {12},
number = {12},
eid = {2066},
pages = {2066},
abstract = "{In 2014, the Jeddah Municipality made a call for an estimate of a
centimetric precision geoid model to be used for engineering and
surveying applications, because the regional geoid model
available at that time did not reach a sufficient precision. A
project was set up to this end and dedicated sets of gravity and
Global Positioning System (GPS)/levelling data were acquired in
the framework of this project. In this paper, a thorough
analysis of these newly acquired data and of the last available
Global Gravity Field Models (GGMs) has been done in order to
obtain a geoid undulation estimate with the prescribed
precision. In the framework of the Remove-Compute-Restore (RCR)
approach, the collocation method was used to obtain the height
anomaly estimation that was then converted to geoid undulation.
The remove and restore steps of the RCR approach were based on
GGMs, derived from the Gravity Field and Steady-State Ocean
Circulation Explorer (GOCE) and Gravity Recovery and Climate
Experiment (GRACE) dedicated gravity satellite missions, which
were used to improve the long wavelength components of the
Earth's gravity field. Furthermore, two different quasi-geoid
collocation estimates were computed, based on gravity data only
and on gravity plus GPS/levelling data (the so-called hybrid
estimate). The best solutions were obtained with the hybrid
geoid estimate. This was tested by comparison with an
independent set of GPS/levelling geoid undulations that were not
included in the computed solutions. By these tests, the
precision of the hybrid geoid is estimated to be 3.7 cm. This
precision proved to be better, by a factor of two, than the
corresponding one estimated from the pure gravimetric geoid.
This project has been also useful to verify the importance and
reliability of GGMs developed from the last satellite gravity
missions (GOCE and GRACE) that have significantly improved our
knowledge of the long wavelength components of the Earth's
gravity field, especially in areas with poor coverage of
terrestrial gravity data. In fact, the geoid models based on
satellite-only GGMs proved to have a better performance, despite
the lower spatial resolution with respect to high-resolution
models (i.e., Earth Gravitational Model 2008 (EGM2008)).}",
doi = {10.3390/rs12122066},
adsurl = {https://ui.adsabs.harvard.edu/abs/2020RemS...12.2066B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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