Terrain mapping from unmanned aerial vehicles
In land surveying, digital terrain model (DTM) and digital surface model (DSM) have long been benefitted in many applications related to terrain mapping. Conventional methods of generating DTM and DSM have limitations in terms of practicality, time consumption and costing. The problems are much more...
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Penerbit Universiti, UTeM
2019
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my.utem.eprints.240672023-08-17T15:55:22Z http://eprints.utem.edu.my/id/eprint/24067/ Terrain mapping from unmanned aerial vehicles Rasib, Abd Wahid Abu Sari, Mohd Yazid K.M., Nazrin Ahmad, Asmala Abu Sari, Nasruddin Dollah @ Md Zain, Rozilawati Mohd Ali, Hamzah Mohd Yusoff, Abd Razak G Geography (General) GA Mathematical geography. Cartography In land surveying, digital terrain model (DTM) and digital surface model (DSM) have long been benefitted in many applications related to terrain mapping. Conventional methods of generating DTM and DSM have limitations in terms of practicality, time consumption and costing. The problems are much more serious for tropical regions where clouds are persistence and tend to affect the accuracy of most of these devices. This study aims to propose a novel way of generating DTM and DSM by utilizing unmanned aerial vehicle (UAV) for different land covers including forest, plantation and developed areas in the tropical region of Malaysia. The aerial images obtained from non-matrix digital compact camera payload on UAV were processed photogrammetrically to produce terrain mapping products including DTM, DSM and orthophoto. A detailed survey is also conducted at these areas to produce contour map as benchmark data in which is less being practiced by UAV mappers. To determine the accuracy, quantitative and qualitative analysis were carried out by means of root mean square error (RMSE) and visual inspection. The results show that the RMSE of DTM for forest, plantation and developed area are ± 1.806m, ± 0.938m and ± 0.549m, respectively while for DSM are ± 3.143m, ± 0.637m and ± 0.276m respectively. This study has determined that, the development area gives the highest accuracy compared to the plantation and forested area in which for developed and plantation area the DSM is better than DTM while vice-versa for forested area. It can be concluded that the complexity if terrain is found to be one of the key factors that influences the accuracy of the generated DSM and DTM. Penerbit Universiti, UTeM 2019-04 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/24067/2/5228-14066-2-PB.pdf Rasib, Abd Wahid and Abu Sari, Mohd Yazid and K.M., Nazrin and Ahmad, Asmala and Abu Sari, Nasruddin and Dollah @ Md Zain, Rozilawati and Mohd Ali, Hamzah and Mohd Yusoff, Abd Razak (2019) Terrain mapping from unmanned aerial vehicles. Journal Of Advanced Manufacturing Technology (JAMT), 13 (1). pp. 1-16. ISSN 1985-3157 https://jamt.utem.edu.my/jamt/article/view/5228/3671 |
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G Geography (General) GA Mathematical geography. Cartography Rasib, Abd Wahid Abu Sari, Mohd Yazid K.M., Nazrin Ahmad, Asmala Abu Sari, Nasruddin Dollah @ Md Zain, Rozilawati Mohd Ali, Hamzah Mohd Yusoff, Abd Razak Terrain mapping from unmanned aerial vehicles |
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In land surveying, digital terrain model (DTM) and digital surface model (DSM) have long been benefitted in many applications related to terrain mapping. Conventional methods of generating DTM and DSM have limitations in terms of practicality, time consumption and costing. The problems are much more serious for tropical regions where clouds are persistence and tend to affect the accuracy of most of these devices. This study aims to propose a novel way of generating DTM and DSM by utilizing unmanned aerial vehicle (UAV) for different land covers including forest, plantation and developed areas in the tropical region of Malaysia. The aerial images obtained from non-matrix digital compact camera payload on UAV were processed photogrammetrically to produce terrain mapping products including DTM, DSM and orthophoto. A detailed survey is also conducted at these areas to produce contour map as benchmark data in which is less being practiced by UAV mappers. To determine the accuracy, quantitative and qualitative analysis were carried out by means of root mean square error (RMSE) and visual inspection. The results show that the RMSE of DTM for forest, plantation and developed area are ± 1.806m, ± 0.938m and ± 0.549m, respectively while for DSM are ± 3.143m, ± 0.637m and ± 0.276m respectively. This study has determined that, the development area gives the highest accuracy compared to the plantation and forested area in which for developed and plantation area the DSM is better than DTM while vice-versa for forested area. It can be concluded that the complexity if terrain is found to be one of the key factors that influences the accuracy of the generated DSM and DTM. |
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Article |
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Rasib, Abd Wahid Abu Sari, Mohd Yazid K.M., Nazrin Ahmad, Asmala Abu Sari, Nasruddin Dollah @ Md Zain, Rozilawati Mohd Ali, Hamzah Mohd Yusoff, Abd Razak |
author_facet |
Rasib, Abd Wahid Abu Sari, Mohd Yazid K.M., Nazrin Ahmad, Asmala Abu Sari, Nasruddin Dollah @ Md Zain, Rozilawati Mohd Ali, Hamzah Mohd Yusoff, Abd Razak |
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Rasib, Abd Wahid |
title |
Terrain mapping from unmanned aerial vehicles |
title_short |
Terrain mapping from unmanned aerial vehicles |
title_full |
Terrain mapping from unmanned aerial vehicles |
title_fullStr |
Terrain mapping from unmanned aerial vehicles |
title_full_unstemmed |
Terrain mapping from unmanned aerial vehicles |
title_sort |
terrain mapping from unmanned aerial vehicles |
publisher |
Penerbit Universiti, UTeM |
publishDate |
2019 |
url |
http://eprints.utem.edu.my/id/eprint/24067/2/5228-14066-2-PB.pdf http://eprints.utem.edu.my/id/eprint/24067/ https://jamt.utem.edu.my/jamt/article/view/5228/3671 |
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