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Image- And range-based 3d recording of multi level of detail solitary vegetation object for landscape and city modeling
Suwardhi D.a, Fadilah W.A.a, Harto A.B.a, Trisyanti S.W.a, Gumilar I.b
a Remote Sensing and Geographic Information Science Research Group, Insitute of Technology Bandung, Bandung, 40123, Indonesia
b Survey and Mapping Laboratory, Bandung, 40123, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2018 Proceedings – 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018A landscape/city consist of man-made objects (e.g., buildings), natural objects (e.g., vegetation), and terrain. Currently, 3D landscape/city modeling, such as CityGML, still focus on the representation of building geometry. However, in fact, vegetation is also important to be modeled as it can be used as a visualization and analysis tool for some applications. This paper describe research that have objectives are recording tree size parameters and generating 3D tree models that can be used for industrial forestry, landscape/city planning, and entertainment (game, cinema, Virtual/augmented Reality). The used methods in this research are Close Range Photogrammetry (CRP), Terrestrial Laser Scanner (TLS), Unmanned Aerial Vehicle (UAV) Photogrammetry, and combined methods, which produce data in the form of point cloud. The point cloud then extracted to obtain the tree size parameters, which can be used as the input data for 3D tree modeling LoD 1-4. The tree size parameters are position, trunk and crown diameter, height of crown, tree height, and geometry model with the most appropriate level of detail. Based on the comparison of acquisition methods that have been done in this research, it is concluded that CRP can replace TLS role to obtain position, height, canopy diameter and tree type parameters, and 3D tree model used for 3D landscape modeling. The results of this research are the 3D tree models which have different information based on the appearance, geometry, semantic, and topology aspects of CityGML.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Building geometry,Canopy diameters,CityGML,Close range photogrammetry,Laser scanner,Terrestrial laser scanners,Tree,Visualization and analysis[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]CityGML,Laser Scanner,Photogrammetry,Tree,UAV[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]