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Handling Low-Density LiDAR Data: Calculating the Heights of Civil Constructions and the Accuracy Expected
Author(s) -
Rubén Martínez Marín,
Elena Lianes Revilla,
Juan Carlos Ojeda Manrique,
Miguel Marchamalo
Publication year - 2013
Publication title -
advances in civil engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.379
H-Index - 25
eISSN - 1687-8094
pISSN - 1687-8086
DOI - 10.1155/2013/602364
Subject(s) - lidar , interpolation (computer graphics) , elevation (ballistics) , global positioning system , data set , computer science , set (abstract data type) , remote sensing , work (physics) , geodesy , environmental science , data mining , geography , mathematics , artificial intelligence , engineering , telecommunications , motion (physics) , mechanical engineering , geometry , programming language
During the last years, in many developed countries, administrations and private companies have devoted considerable amounts of money to obtain mapping data using airborne LiDAR. For many civil activities, we can take advantage of it, since those data are available with no cost. Some important questions arise: Are those data good enough to be used for determining the heights of the civil constructions with the accuracy we need in some civil work? What accuracy can we expect when using low-density LiDAR data (0.5 pts/m2)? In order to answer those questions, we have developed a specific methodology based on establishing a set of control points on the top of several constructions and calculating the elevation of each one using postprocessing GPS. Those results have been taken as correct values and the comparison between those values and the elevations obtained, assigning values to the control points by the interpolation of the LiDAR dataset, has been carried out. This paper shows the results obtained using low-density airborne LiDAR data and the accuracy obtained. Results have shown that LiDAR can be accurate enough (10–25 cm) to determine the height of civil constructions and apply those data in many civil engineering activities.

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