Impact of externai forces on the quality of digital elevation model derived from drone technology

Isola, A; Mansor, S; Shafri, HM; Pradhan, B; Mansor, Y

Impact of externai forces on the quality of digital elevation model derived from drone technology

Isola, A Mansor, S Shafri, HM Pradhan, B

Mansor, Y

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Publication Type:: Journal Article
Citation:: International Journal of Geoinformatics, 2019, 15 (1), pp. 81 - 91
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Isola, A	en_US
dc.contributor.author	Mansor, S	en_US
dc.contributor.author	Shafri, HM	en_US
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054	en_US
dc.contributor.author	Mansor, Y	en_US
dc.date.accessioned	2020-04-07T04:35:22Z
dc.date.available	2020-04-07T04:35:22Z
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	International Journal of Geoinformatics, 2019, 15 (1), pp. 81 - 91	en_US
dc.identifier.issn	1686-6576	en_US
dc.identifier.uri	http://hdl.handle.net/10453/139864
dc.description.abstract	© Geoinformatics International. Platform instability is one of the sources of error of Digital Elevation Model (DEM) derived from a low altitude aircraft. This paper examines the influence of atmospheric pressure (AP) on the DEM produced by drone system. To achieve the research objective, an experimental-based ftxed-wing drone platform was set up at the Universiti Putra Malaysia Campus. First, Ground Control Points (GCPs) and CheckPoints (CPs) were established within the study area by a real-time kinematic differential global positioning system. The drone flew seven times at different altitudes over the study area. In the process, an on-board canon digital camera took a series of overlapping photos. The photos were processed with an image-matching algorithm. Then orthorectified the photos using the GCPs. Photo orthorectification entails orientation of aerial photos with respect to the ground control points. It helps to remove distortions that might occur while acquiring or Processing the aerial photographs. In the end, seven DEMs were exported in tiff file format. Analysis of impact of AP on the resulting DEMs was conducted using a proposed model and obtained 0.072m, 0.05m, 0.014m, 0.0lm, 0.004m, 0.003m, and 0.002m for lOOm, I50m, 200m, 250m, 350m, 400m, and 500m altitudes, respectively. To confirm the efficiency of the proposed model, the results were tested using the CPs and their corresponding points on the DEMs and obtained root mean square error of 0.03m, O.OSm, 0.07m, O.lm, 13m, 0.14m, and 0.16m. On a final note, a close look at the validation and impact of AP results unveils a small gap. Hence, suggests that platform instability should be ignored amidst of other externai forces that can influence the performance of drone system.	en_US
dc.relation.ispartof	International Journal of Geoinformatics	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Impact of externai forces on the quality of digital elevation model derived from drone technology	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	15	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access	*
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	15	en_US

Abstract:

© Geoinformatics International. Platform instability is one of the sources of error of Digital Elevation Model (DEM) derived from a low altitude aircraft. This paper examines the influence of atmospheric pressure (AP) on the DEM produced by drone system. To achieve the research objective, an experimental-based ftxed-wing drone platform was set up at the Universiti Putra Malaysia Campus. First, Ground Control Points (GCPs) and CheckPoints (CPs) were established within the study area by a real-time kinematic differential global positioning system. The drone flew seven times at different altitudes over the study area. In the process, an on-board canon digital camera took a series of overlapping photos. The photos were processed with an image-matching algorithm. Then orthorectified the photos using the GCPs. Photo orthorectification entails orientation of aerial photos with respect to the ground control points. It helps to remove distortions that might occur while acquiring or Processing the aerial photographs. In the end, seven DEMs were exported in tiff file format. Analysis of impact of AP on the resulting DEMs was conducted using a proposed model and obtained 0.072m, 0.05m, 0.014m, 0.0lm, 0.004m, 0.003m, and 0.002m for lOOm, I50m, 200m, 250m, 350m, 400m, and 500m altitudes, respectively. To confirm the efficiency of the proposed model, the results were tested using the CPs and their corresponding points on the DEMs and obtained root mean square error of 0.03m, O.OSm, 0.07m, O.lm, 13m, 0.14m, and 0.16m. On a final note, a close look at the validation and impact of AP results unveils a small gap. Hence, suggests that platform instability should be ignored amidst of other externai forces that can influence the performance of drone system.

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http://hdl.handle.net/10453/139864