Signal-Controlled Least Square Collocation: A new quality in geostatistical estimation and simulation?

2015 ◽  
Vol 14 ◽  
pp. 303-320 ◽  
Author(s):  
Joachim Menz ◽  
Jörg Benndorf ◽  
Tom Wambeke
1979 ◽  
Vol 67 (2) ◽  
pp. 314-315 ◽  
Author(s):  
T.K. Seshadri ◽  
S. Mahapatra ◽  
K. Rajaiah

Author(s):  
Essam Mohamed Al-Karargy ◽  
Gomaa Mohamed Dawod

This study aims to develop a Local Geoid Model (LGM) for Egypt to determine the optimal combinations of global models with Global Navigation Satellite Systems (GNSS/Levelling) data. A precise national geodetic dataset, four Global Geopotential Models (GGMs), and three global Digital Elevation Models (DEMs) have been utilized. Hence, twelve gravimetric LGMs have been developed using the Least-Square Collocation (LSC) method fitted to GNSS/Levelling data and judged over 100 checkpoints. Results revealed that improvements in local geoid accuracy are attributed mainly to GGMs models representing the long wavelength of the Earth's gravitational field. Regarding DEMs, the accuracy of LGMs does not significantly depend on the utilized DEM. Based on the available data, the attained optimum geoid of Egypt has been developed with a standard deviation, equals 0.129 m.


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