#TITLE_ALTERNATIVE#
<p align = "justify">Topographic mapping using Photogrammetry method is considered as one of the most effective method from time and cost point of view. This method implementation will produce an adequate representative information of an area from top view. Nevertheless, the data acq...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/30739 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | <p align = "justify">Topographic mapping using Photogrammetry method is considered as one of the most effective method from time and cost point of view. This method implementation will produce an adequate representative information of an area from top view. Nevertheless, the data acquisition will not entirely cover the terrain underneath the objects that are covering the terrain for instance trees and building. The lack of this method can be solved with terrestrial mapping method which able to obtains the information in the field. One of instrument that can be used is Terrestrial Laser Scanner which have a similiar principle with Total Station in general. The purpose of this research is to evaluate the integration of UAV-Photogrammetry dense point cloud with Terrestrial Laser Scanner dense point cloud in an area which mostly dominated with trees. This research is conducted on Northern area of Institut Teknologi Bandung Jatinangor, Sumedang District. Determination of this area is supported by some factors such as variation of the terrain and an area with dominating trees. Quality analysis from both data integration is done based on height difference from both point cloud data distribution. In order to acquire it, Digital Terrain Model (DTM) comparation is performed on the integration of both data with respect to UAV-Photogrammetry data only to achieve quality difference before and after the TLS point cloud is integrated more clearly. Integration of TLS dense point cloud to UAV-Photogrammetry point cloud is done that is clearly marked with the increasing of data quality and data comprehensiveness. Findings in this research shows the value of RMSE of integration result to check degree of precision are 0.037 from horizontal axis and 0.101 from vertical axis. Whereas RMSE value to check degree of accuracy of comparation data from GNSS measurements are 0.081 m with respect to UAV and 0.062 with respect to TLS in vertical axis. In horizontal axis the values are 0.016 with respect to UAV and 0.031 with respect to TLS.<p align = "justify"> |
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