PEMETAAN 3D WILAYAH PESISIR CIREBON DENGAN MENGINTEGRASIKAN DATA BATIMETRI DAN TOPOGRAFI-UAV FOTOGRAMETRI
Cirebon City is a city located on the north coast of West Java Province and is one of the proposed Special Economic Zones (SEZ) areas. Geospatial information on land, sea, and coast are things that must be available as one of the conditions for proposing Cirebon as an SEZ area. Meanwhile, the provis...
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Format: | Final Project |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/56776 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Cirebon City is a city located on the north coast of West Java Province and is one of the proposed Special Economic Zones (SEZ) areas. Geospatial information on land, sea, and coast are things that must be available as one of the conditions for proposing Cirebon as an SEZ area. Meanwhile, the provision of this information is still separate and carried out by a different agency. As a result, there is no continuity between the geospatial data in terms of resolution, reference, and data format. Technological developments in the field of surveying and mapping also require more accurate geospatial information and visualization that is not only in two-dimensional (2D). This study aims to integrate topographic data with bathymetric data in the Cirebon Coastal area to produce a seamless digital elevation model that has the same reference. Furthermore, the data will be reconstructed into a 3D city model with LOD1 and LOD2 details. Integration is done by equating the horizontal and vertical references as well as the resolution of the data used. The data used are UAV-Photogrammetry data on the land area, bathymetry data in the marine area obtained from SBES measurements and manual bathymetry. Furthermore, a mosaic between the two data is carried out, and filling in the blank areas by interpolation using three interpolation methods and two input data scenarios. The quality test of the integration results was carried out by performing a comparative analysis between manual bathymetry sample data and elevation on the seamless digital elevation model that was formed.
Based on the results of the study, there were 7 steps of the procedure to integrate topographic UAV-photogrammetry and bathymetry data. The best interpolation method to produce a seamless digital elevation model is using the spline method. Root Mean Square Error (RMSE) of the seamless digital elevation model that is formed is 11 cm and quite well when visualized in 3D models LOD1 and LOD2. |
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