Generation of High-Resolution 3-D Maps for Landscape Planning and Design Using UAV Technologies

To support the decision-making process and to share ideas easily and make them quickly accessible to users, new digital tools are gradually being developed from two-dimensional and threedimensional levels, to the fourth dimension. Traditionally, remote sensing images, including aerial (unmanned or manned) or satellite systems, are used to collect geospatial data. Unmanned aerial vehicles (UAVs), however, have recently become a suitable technology for providing exceptionally high spatial and temporal resolution data at a lower cost than other remote sensing data. Landscape architects using UAVs for versatile flying platforms for various sensors and photogrammetric software can create 3-D models faster than traditional topographic research methods. This study aims to demonstrate the potential of using UAVs for obtaining 3-D topographic data from various types of UAVs that can be used as a basis in landscape planning and design studies. This study proposes an established 3-D data generation workflow and its use in landscape design and planning applications using a fixed wing UAV with a GoPro 4 camera having 12 MP CMOS Sensor, and a quadcopter with 20 MP CMOS Sensor to collect image data for 3-D maps using photogrammetry. This study shows that UAVs provide promising opportunities for creating high-resolution and precise images, thus making 3-D mapping easier.

[1]  Christian Haeberling,et al.  3D Map Presentation – A Systematic Evaluation of Important Graphic Aspects , 2002 .

[2]  C. Häberling CARTOGRAPHIC DESIGN PRINCIPLES FOR 3 D MAPS A CONTRIBUTION TO CARTOGRAPHIC THEORY , 2005 .

[3]  Christophe Delacourt,et al.  DRELIO: An unmanned helicopter for imaging coastal areas , 2009 .

[4]  Richard Szeliski,et al.  Removing rolling shutter wobble , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[5]  Filiberto Chiabrando,et al.  UAV and RPV systems for photogrammetric surveys in archaelogical areas : two tests in the Piedmont region (Italy) , 2011 .

[6]  Fabio Remondino,et al.  UAV PHOTOGRAMMETRY FOR MAPPING AND 3D MODELING - CURRENT STATUS AND FUTURE PERSPECTIVES - , 2012 .

[7]  G. Grenzdörffer,et al.  UAV BASED BRDF-MEASUREMENTS OF AGRICULTURAL SURFACES WITH PFIFFIKUS , 2012 .

[8]  H. Eisenbeiss,et al.  Unmanned aerial vehicle in cadastral applications , 2012 .

[9]  Irfan A. Essa,et al.  Calibration-free rolling shutter removal , 2012, 2012 IEEE International Conference on Computational Photography (ICCP).

[10]  R. Wilson,et al.  Cadastral Audit and Assessments Using Unmanned Aerial Systems , 2012 .

[11]  Antonia Teresa Spano,et al.  ARCHAEOLOGICAL SITE MONITORING: UAV PHOTOGRAMMETRY CAN BE AN ANSWER , 2012 .

[12]  Jan Skaloud,et al.  Drones to the Rescue! Unmanned Aerial Search Missions Based on Thermal Imaging and Reliable Navigation , 2012 .

[13]  Impyeong Lee,et al.  A UAV BASED CLOSE-RANGE RAPID AERIAL MONITORING SYSTEM FOR EMERGENCY RESPONSES , 2012 .

[14]  Michael Cramer,et al.  ON THE USE OF RPAS IN NATIONAL MAPPING - THE EUROSDR POINT OF VIEW , 2013 .

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

[16]  Kathrine M. Kelm,et al.  Drones for Peace: Part 1 of 2 Design and Testing of a UAV-based Cadastral Surveying and Mapping Methodology in Albania , 2014 .

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

[18]  A. Vetrivel,et al.  Identification of damage in buildings based on gaps in 3D point clouds from very high resolution oblique airborne images , 2015 .

[19]  Davis Dinkov 3D MODELLING AND VISUALIZATION FOR LANDSCAPE SIMULATION , 2016 .