#TITLE_ALTERNATIVE#
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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| 主要作者: | |
|---|---|
| 格式: | Final Project |
| 語言: | Indonesia |
| 在線閱讀: | https://digilib.itb.ac.id/gdl/view/31583 |
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| 機構: | Institut Teknologi Bandung |
| 語言: | Indonesia |
| 總結: | 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. |
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