Abstract
AbstractTopographic modelling is an important aspect in engineering work and planning such as dam design, road planning, volumetric calculation, water flow analysis and so forth. To get topographic data, usually a land survey or topographic measurement is taking for a region or an area under study. A number of points that represent an area are measured to get a height dataset. The dataset which is consist of height points will be used to model topographic condition of the area with generating contour map and also 3D model. There are some methods can be used to generate topographic surface in 3D model like linear interpolation in Triangular Irregular Network (TIN), Kriging and Inverse Distance Weight (IDW). This research implemented IDW spatial interpolation algorithm to model earth surface or topographic model in 3D. The IDW method was implemented in Python programming language using Numpy library for computation and Plotly graphic library to visualize the 3D Model. Using 2500 and 10000 interpolation points with 100 random sampling points that extracted from Digital Surface Model (DSM), IDW was successfully estimated the height at unsampled locations. The results show, more higher interpolation point number will produce more detail surface texture. Keywords : IDW, Topographic, 3D Modelling
Highlights
The height of earth surface on a topographic map is represented by contour lines
The dataset which used was 100 random height point that extracted from Digital Surface Model (DSM) of garbage disposal dumping site at Gampong Jawa, Banda Aceh municipality
Inverse Distance Weight (IDW) spatial interpolation has been successfully estimated a number of unsampled height points that used in topographic surface modelling
Summary
The height of earth surface on a topographic map is represented by contour lines. Using contour lines ones could imagine the shape, pattern or height variation of the earth surface for a region or area. A height dataset consist of representative height points that cover a region to be mapped or modelled. The quality of 3D model that derived from height point measurement depends on the number of points that measured over an area and point’s location. Placing points in right location where gradient occurs and adequate number of points that cover an area to be mapped are keys to get a good topographic 3D model. The height dataset that taken from field measurement will be used and processed to get a contour map in 2D and to generate 3D model
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