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The 3D model of the city/landscape, must consist of man-made objects (buildings), <br /> <br /> natural objects (vegetation), and terrain. However, currently 3D modelling cities <br /> <br /> such as CityGML, still focus on the representation of building geometry. In fact, &l...

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Bibliographic Details
Main Author: AZIS FADILAH (nim : 15114025), WIDIATMOKO
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/31583
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Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary:The 3D model of the city/landscape, must consist of man-made objects (buildings), <br /> <br /> natural objects (vegetation), and terrain. However, currently 3D modelling cities <br /> <br /> such as CityGML, still focus on the representation of building geometry. In fact, <br /> <br /> vegetation is important to model in the city (landscape) because it can be used as a <br /> <br /> visualization and analysis tool for forestry and landscape planning. 3D models can <br /> <br /> be built using field data acquired using terrestrial laser scanner (TLS) technology <br /> <br /> and close-range photogrammetry (CRP) techniques. The technology is able to <br /> <br /> produce data in the form of cloud point from tree to tree parts such as stems and <br /> <br /> leaves. However, TLS technology is still quite expensive, so testing is done using <br /> <br /> CRP techniques that may replace the use of TLS. In this final project, research is <br /> <br /> done to obtain best field data acquisition method between CRP technique with TLS <br /> <br /> technology and combined with photo UAV data to produce tree size parameters such <br /> <br /> as position, stem and crown diameter, height of crown and tree height, and geometry <br /> <br /> model 3D tree with the most appropriate level of detail. There is also a conversion of <br /> <br /> tree cloud point to 3D tree model in CityGML environment. The acquired accuracy <br /> <br /> of tree diameter size compared with field data of 14.8 cm for CRP data and 1.3 cm <br /> <br /> for TLS data. While the comparison of tree height between CRP and TLS data is 51.2 <br /> <br /> cm. The resulting 3D model can be used for planting and tree maintenance planning, <br /> <br /> and determine the type of tree to be planted. This Final Project study concluded that <br /> <br /> CRP can replace TLS role to obtain position, height, canopy diameter and tree type <br /> <br /> parameters, and 3D tree model used for 3D landscape modelling.