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Three dimensional city building modelling with LiDAR data (case study: Ciwaruga, Bandung)

Asharyanto H.a, Soeksmantono B.a, Wikantika K.a

a Center for Remote Sensing, Institut Teknologi Bandung (ITB), Bandung, 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]As one of the metropolitan cities in Indonesia, Bandung has many kinds of existing buildings. According to that fact, LiDAR or Light Detection and Ranging technology can be used to create good and accurate ur ban planning system needed to see spreading of existing building. It is used because it scans the area quickly and accurately. In addition, Orthophoto is used to increase the accuracy of the information from the model. These data will be processed into surface model and three-dimensional building model. The coverage area of this study is 222 hectare with 678 are the building blocks. As a result, model is divided into three categories based on the size and distance of proximity between one building to another. From the results, 250 buildings model which are in category A and B can be modeled very well and the rest of the category C it was unable to create a good building model or fracture appears on the model due to the building blocks of those area are too dense.[/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]3-d modeling,Building blockes,Building modelling,Light detection and ranging,Metropolitan cities,Ortho photos,Planning systems,Three categories[/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]3D model,Building,DSM,DTM,Light detection and ranging,Orthophoto[/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]