The Methodology of Applying Inverse Distance Weighting Interpolation Method in Determining Normal Heights

Hiba Moussa (1), Mohammad Abboud (2)
(1) Lecturer, Surveying Engineering department, Lebanese International University, Beirut, Lebanon, Lebanon,
(2) Chair of Surveying Engineering department, Lebanese International University, Beirut, Lebanon, Lebanon

Abstract

This article explores the application of the Inverse Distance Weighting (IDW) interpolation method in determining normal heights, utilizing a network of points with measured ellipsoidal and normal heights by the use of GNSS/levelling method. The IDW method, which assumes that points closer to each other are more alike, is employed to locate points within the correct quadrant and calculate their normal height based on the determined average height anomaly across the entire area. The accuracy of this method is validated using check points. The article further discusses the methodology of normal height determination at a country level by using generated coefficients, representing the average difference between various height-systems, which could be used as an integral to the interpolation methods used for generating a refined Digital Elevation Model (DEM) across the country. This study contributes to the ongoing discourse on the effective use of interpolation methods in geospatial analysis and DEM generation. It provides valuable insights into the practical application of the IDW method and its potential for enhancing the accuracy of normal height determination and DEM refinement. Importantly, such methods hold significant value for countries lacking gravimetric data, as they provide a viable means of determining normal heights in the absence of a local quasi geoid model.

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Authors

Hiba Moussa
[email protected] (Primary Contact)
Mohammad Abboud
Moussa, H., & Abboud, M. (2024). The Methodology of Applying Inverse Distance Weighting Interpolation Method in Determining Normal Heights. Resourceedings, 4(1), 01–06. https://doi.org/10.21625/resourceedings.v4i1.1068

Article Details

Received 2024-02-20
Accepted 2024-03-17
Published 2024-03-31