Journal Article

Comparison of Upward Continuation and Moving Average Filters for Satellite Gravity Data in Probolinggo Fault Case Study

Anggraeni, Lia Andri, Hilyah, Anik, Sismanto, Purwanto, Moh. Singgih, Setiahadiwibowo, Ajimas Pascaning, Sari, Ceni Febi Kurnia

2025

Overview

In gravity data processing, selecting the correct filter results in accurate interpretation. In this study, upward continuation and moving average filters were applied to delineate the existence of the Probolinggo Fault. The data used is satellite gravity data from the Global Gravity Model Plus (GGMplus) 2013, after which corrections were made to the data to obtain a complete Bouguer anomaly map. The next step is filtering to obtain residual anomalies. In the moving average filter, a window width of 47 was used, and in the upward continuation filter, the best anomaly was obtained at an elevation of 1500 m. The residual anomaly resulting from the moving average filter ranged from -19.3 to 8.4 mgal. Meanwhile, the residual anomaly resulting from the upward continuation filter ranged from - 6.8 to 5.8 mgal. The comparison results of the two filters show that the upward continuation filter has more representative results than the moving average filter, where the RMS error of the residual anomaly of the upward continuation filter is 2.76%, whereas the RMS error of the residual anomaly of the moving average filter is 8.04%. The qualitative interpretation also shows that the upward continuation filter is able to delineate the existence of the Probolinggo Fault, which is in accordance with the geological map, which is trending West-Northeast.

• Publisher: IOP Publishing
• Subject: Data processing / Filters / Geologic mapping / Geological mapping / Gravity