Abstract

Determination of gravity anomalies in Java, Indonesia, from airborne gravity survey

Highlights

  • The geoid represents the Earth's equipotential gravity surface which defines the definitive physical height reference in geodesy applications, i.e., orthometric height

  • We focused on the following issues: (1) software development to estimate gravity anomaly; (2) filter design and estimated resolvable wavelength; and (3) data accuracy assessment

  • We developed a Graphical User Interface (GUI) software called AiNG-ITB (Airborne Gravity Data Processing–Institut Teknologi Bandung) to apply the mentioned corrections and reductions for airborne gravimetry data processing

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Summary

INTRODUCTION

The geoid represents the Earth's equipotential gravity surface which defines the definitive physical height reference in geodesy applications, i.e., orthometric height. Numerous works have applied the so-called remove-compute-restore (RCR) technique with a denser gravity data coverage in geoid modeling to enhance the geoid accuracy locally/regionally (Schwarz et al, 1990; Corchete et al, 2008; Yildiz et al, 2012). Using this approach, we first removed the longwavelength and short-wavelength part from the gravity data observation using predicted gravity model from global/satellite gravity model and topography variation, respectively. The following is how the paper is structured: Section 2 reviews particulars aspects of utilizing airborne gravimeter to estimate gravity anomaly, Section 3 presents the research findings and discussions, and lastly, Section 4 provides the research summary and further considerations

Gravity Readings
Airborne Scalar Gravimetry Principle
Time Synchronization of Airborne Gravity Data
Free-air Gravity Anomaly Reduction
Time-Series Filtering
Software Implementation
Data Inputs and Outputs
Things to Consider when using AiNG-ITB
Identifying the Optimum Filter of Airborne Gravimetry Use
Comparison with Terrestrial Gravity Data
Crossover Analysis and Adjustment
Summary and Outlook
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