The feasibility of using low-cost commercial unmanned aerial vehicle for small area topographic mapping

Conventionally small area topographic detail plan is produced using land survey techniques. Various method of modern topographical detail plan however required more cost to speed up the data acquisition process for large data and high accuracy. The recent development in commercial grade Unmanned Aerial Vehicle (UAV) has the potential to be used as a data capture equipment with low cost. In this study, commercial quadcopter UAV was used as an aerial image data capture vehicle. The images were captured at a lower altitude and then processed by using SfM software. Eight ground control points and a set of 15 and 17 check points was established by using RTK-GPS method. The outputs of this study were Digital Surface Model (DSM) and building footprint vector line. For accuracy assessment, the root means square error (RMSE) was used to evaluate the accuracy of a planimetric and vertical component of DSM. Based on the assessment, the results show the accuracy of sub-meter in planimetric and 5m in vertical. In conclusion, the usage of the low-cost commercial UAV has great potential in topographic data capture for detail plan production.

[1]  C. Maguire.  Using Unmanned Aerial Vehicles and "Structure from Motion" Software to Monitor Coastal Erosion in Southeast Florida , 2014 .

[2]  Sharon A. Robinson,et al.  Using an Unmanned Aerial Vehicle (UAV) to capture micro-topography of Antarctic moss beds , 2014, Int. J. Appl. Earth Obs. Geoinformation.

[3]  Marco Dubbini,et al.  Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments , 2013, Remote. Sens..

[4]  F. Nex,et al.  UAV for 3D mapping applications: a review , 2014 .

[5]  Lee O. Garber.  A Bird's-Eye View of Education , 1938, The School Review.

[6]  C. Hugenholtz,et al.  Geomorphological mapping with a small unmanned aircraft system (sUAS): Feature detection and accuracy assessment of a photogrammetrically-derived digital terrain model , 2013 .

[7]  J. Labadz,et al.  The potential of small unmanned aircraft systems and structure-from-motion for topographic surveys: A test of emerging integrated approaches at Cwm Idwal, North Wales , 2014 .

[8]  Alexander Avery.  A Feasibility Study on the Use of Manual Unmanned Aerial Vehicles for Topographical Surveys , 2014 .

[9]  Hiroyuki Obanawa,et al.  High-resolutional topographic survey using small UAV and SfM-MVS technologies in hardly accessible area , 2015 .

[10]  Christoph Strecha,et al.  QUALITY ASSESSMENT OF 3D RECONSTRUCTION USING FISHEYE AND PERSPECTIVE SENSORS , 2015 .

[11]  Gergely Szabó,et al.  Automated registration of potential locations for solar energy production with Light Detection And Ranging (LiDAR) and small format photogrammetry , 2016 .

[12]  Craig S. T. Daughtry,et al.  Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring , 2010, Remote. Sens..

[13]  Murat Uysal,et al.  PHOTO REALISTIC 3D MODELING WITH UAV: GEDİK AHMET PASHA MOSQUE IN AFYONKARAHİSAR , 2013 .

[14]  Robert M. Davis.  Multicopter-Based Small Format Aerial Photography using Free and Open Source Photogrammetry , 2014 .

[15]  Arko Lucieer,et al.  Development of a UAV-LiDAR System with Application to Forest Inventory , 2012, Remote. Sens..

[16]  Manchun Li,et al.  Using unmanned aerial vehicle for remote sensing application , 2013, 2013 21st International Conference on Geoinformatics.