Bathymetry Estimation by Satellite Altimetry Observation Using Least Square Collocation (Case Study: Oman Sea)

Practical Applications of bathymetry from ancient times until now، has attracted the attention of scientists to methods that compute it. Bathymetry with ship، despite high accuracy is very costly and time confusing and in the deep regions is impractical even. Hence، the use of indirect methods to predict bathymetry is taken into consideration. Satellite altimetry measure sea level anomaly over 30 years. With retracking methods and new satellite missions such as Cryo_sat، density and accuracy of satellite altimetry data has increased. In geodesy can convert this data to gravity field components such as geoid undulations، free air gravity anomaly، deflection of vertical and etc. on the other hand the internal sources of earth has an important effect on the gravity field components. One of the main this sources in sea is seafloor topography. An inverse can be made by parker relationship between seafloor topography and gravity anomaly data in the frequency domain. On the other hand، iterative least square collocation can be used as an effectively mathematical model to solve inverse problem. In this paper we use the gravity data derived from satellite altimetry and estimate bathymetry in Oman sea area using iterative least square collocation. And compare our result with ETOPO1 bathymetry model and some ship borne depth data in the area of study. Standard deviation between difference of ETOPO1 and ship borne depth data is 121. 4m while this for our computed model is 117. 87m. this is show that our model has better precision in this area compared with ETOPO1.