Mapping and 3D modelling using quadrotor drone and GIS software

Budiharto W., Irwansyah E., Suroso J.S., Chowanda A., Ngarianto H., Gunawan A.A.S.

Computer Science Department, School of Computer Science, Bina Nusantara University, West Jakarta, Indonesia; Information Systems Department, BINUS Graduate Program-Master of Information Systems Program, Jakarta, Indonesia; Mathematics Department, School of Computer Science, Bina Nusantara University, Jakarta, 11480, Indonesia


Abstract

Background: The main obstacle for local and daily or weekly time-series mapping using very high-resolution satellite imagery is the high price and availability of data. These constraints are currently obtaining solutions in line with the development of improved UAV drone technology with a wider range and imaging sensors that can be used. Findings: Research conducted using Inspire 2 quadcopter drones with RGB cameras, developing 3D models using photogrammetric and situation mapping uses geographic information systems. The drone used has advantages in a wider range of areas with adequate power support. The drone is also supported by a high-quality camera with dreadlocks for image stability, so it is suitable for use in mapping activities. Conclusions: Using Google earth data at two separate locations as a benchmark for the accuracy of measurement of the area at three variations of flying height in taking pictures, the results obtained were 98.53% (98.68%), 95.2% (96.1%), and 94.4% (94.7%) for each altitude of 40, 80, and 100 m. The next research is to assess the results of the area for more objects from the land cover as well as for the more varied polygon area so that the reliability of the method can be used in general © 2021, The Author(s).

3D model; AgiSof; ArcMap; Drone; Mapping; Situation map


Journal

Journal of Big Data

Publisher: Springer Science and Business Media Deutschland GmbH

Volume 8, Issue 1, Art No 48, Page – , Page Count


Journal Link: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103346468&doi=10.1186%2fs40537-021-00436-8&partnerID=40&md5=1363ee012ed245d74abd9b2d115a76a5

doi: 10.1186/s40537-021-00436-8

Issn: 21961115

Type: All Open Access, Gold


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