Abstract
This chapter describes photogrammetric results based on unmanned aerial vehicle (UAV) images for slope mapping. This chapter discussed the effect of photogrammetric results based on different observation time and network adjustment of Real Time Kinematic Global Positioning System (RTK GPS) in photogrammetric image processing. A complete set of fixed wing UAV with autonomous flight was used to capture image from certain altitude at the study area. All acquired images were processed using photogrammetric software. Two primary results were produced in this study namely digital elevation model and digital orthophoto. Analyses were carried out to determine the best RTK GPS data based on time and network during photogrammetric image processing. It was found that, RTK GPS adjustment from known point with 10 minutes observation time gives greater accuracy compared to the local network adjustment. In conclusion, UAV has potential in the slope mapping because it can provide high accuracy photogrammetric results.
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Acknowledgments
Faculty of Architecture, Planning and Surveying Universiti Teknologi MARA (UiTM) and Faculty of Geoinformation & Real Estate, Universiti Teknologi Malaysia (UTM) are greatly acknowledged. The authors would also like to thank the Sustainability Research Alliance, Universiti Teknologi Malaysia for providing the fund to enable this study to be carried out.
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Tahar, K.N., Ahmad, A., Akib, W.A.A.W.M., Mohd, W.M.N.W. (2013). Unmanned Aerial Vehicle Photogrammetric Results Using Different Real Time Kinematic Global Positioning System Approaches. In: Abdul Rahman, A., Boguslawski, P., Gold, C., Said, M. (eds) Developments in Multidimensional Spatial Data Models. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36379-5_8
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