STUDY ON GRIDDING METHODS OF SATELLITE GRAVITY GRADIENT DATA
Liu Xiaogang 1) ;Wu Xiaoping 1) ;Wang Baojun 1,2) ; and Pang Zhenxing 3)
1) Institute of Surveying and Mapping, Information and Engineering University, Zhengzhou 4500522) 96412 Troops, Baoji 7210123)Xi’an Research Institute of Surveying and Mapping, Xi’an 710054
Abstract:Four gridding methods: the moving average method, the inverse distance weighting method, the weighted moving trend surface method and the ordinary Kriging method, which are in common use to deal with the scattered data, are introduced. The gridding effects of the four methods are analyzed and compared with each other by using simulated satellite gravity gradient data.The results show that there should be enough information to be included to reflect the spatial distribution characteristics of the original data and the requirement of computational velocity in the choice of the searching radius; the influence of the distance between the known points and the computational points must be considered in the gridding of the scattered data.It is shown that the inverse distance weighting method is suitable for gridding the scattered satellite gravity gradient data in view of the accuracy of the gridding results, the computational velocity and the approaching effect to the original data.