Abstract
Unmanned Aerial Vehicle (UAV) is one of the geospatial-based data acquisition technologies which acquire data within a short period for slope mapping studies. Geospatial-based UAV mapping are widely used in many applications, specifically for scientific and mapping research. The capabilities of rapid data acquisition and accessibility to slope risk area are several advantages of using UAV technology. However, the accuracy that influences the output of slope mapping studies using UAV technology need to be considered such as flying altitude and selection of the optimum numbers of Ground Control Points (GCPs). This study focuses on the reviews of geospatial-based UAV mapping, others geospatial-based technologies as well as accuracy assessment of its output. Several considerations were discussed in the production of slope map using UAV technology namely determining the optimum number of GCPs and flying altitudes, as well as evaluating of UAV images. This study presents the production of high resolution slope map area that has been conducted at Kulim, Kedah, Malaysia as the slope location prone to landslide occurrences. Multi-rotor UAV known as DJI Phantom 4 was used for collecting the high resolution images with various flying altitudes. The result of X, Y and Z coordinates show that the accuracy is influenced by the flying altitude of UAV. As for flying altitude is increased, the accuracy of slope mapping is improved. Moreover, the analysis indicated that the slope area coverage and the number of tie point increases as the UAV altitude level also increases.
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References
Agüera-Vega F, Carvajal-Ramírez F, Martínez-Carricondo P (2017) Assessment of photogrammetric mapping accuracy based on variation ground control points number using unmanned aerial vehicle. Measurement 98:221–227
Ahmad A, Tahar KN, Udin WS, Hashim KA, Darwin N, Hafis M (2013) Digital aerial imagery of unmanned aerial vehicle for various applications. In: 2013 IEEE international conference on control system, computing and engineering (ICCSCE), pp 535–540
Alho P, Kukko A, Hyyppa H, Kaartinen H, Hyyppa J, Jaakkola A (2009) Application of boat-based laser scanning for river survey. Earth Surf Proc Land 34(13):1831–1838
Al-Tahir R, Arthur M, Davis D (2011) Low cost aerial mapping alternatives for natural disasters in the caribbean. FIG Working Week 2011, Bridging the gap between cultures. Marrakech, Morocco
Arnold L, Wartman J, Massey C, MacLaughlin M, Keefer D (2015) Insights into the seismically-induced rock-slope failures in the Canterbury region using the discrete element method. Paper presented at the 6th international conference on earthquake geotechnical engineering, pp 1–4
Bagnardi M, González PJ, Hooper A (2016) High-resolution digital elevation model from tri-stereo Pleiades-1 satellite imagery for lava flow volume estimates at Fogo Volcano. Geophys Res Lett 43(12):6267–6275
Blyth FGH, de Freitas M (2017) A geology for engineers. CRC Press
Cahyono A, Zayd R (2018) Rapid mapping of landslide disaster using UAV-photogrammetry. Paper presented at the journal of physics: conference series, p 012046
Collin English Dictionary (2012) Complete & unabridged 2012 digital edition
Darwin N, Ahmad A, Zainon O (2014) The potential of unmanned aerial vehicle for large scale mapping of coastal area. Paper presented at the IOP conference series: earth and environmental science, p 012031
Dunham L, Wartman J, Olsen MJ, O’Banion M, Cunningham K (2017) Rockfall activity index (RAI): a lidar-derived, morphology-based method for hazard assessment. Eng Geol 221:184–192
Eisenbeiss H, Lambers K, Sauerbier M, Zhang L (2005) Photogrammetric documentation of an archaeological site (Palpa, Peru) using an autonomous model helicopter. In: International archives of photogrammetry, remote sensing and spatial information sciences, vol 34, no 5, p C34
Everaerts J (2008) The use of unmanned aerial vehicles (UAVs) for remote sensing and mapping. In: The international archives of the photogrammetry, remote sensing and spatial information sciences, vol 37, pp 1187–1192
Forlani G, Roncella R, Nardinocchi C (2015) Where is photogrammetry heading to? State of the art and trends. Rendiconti Lincei 26(1):85–96
Francioni M, Salvini R, Stead D, Litrico S (2014) A case study integrating remote sensing and distinct element analysis to quarry slope stability assessment in the Monte Altissimo area, Italy. Eng Geol 183:290–302
Francioni M, Salvini R, Stead D, Coggan J (2018) Improvements in the integration of remote sensing and rock slope modelling. Nat Hazards 90(2):975–1004
Fuad N, Ismail Z, Majid Z, Darwin N, Ariff M, Idris K (2018) Accuracy evaluation of digital terrain model based on different flying altitudes and conditional of terrain using UAV LiDAR technology. Paper presented at the IOP conference series: earth and environmental science, p 012100
Fugazza D, Scaioni M, Corti M, D’Agata C, Azzoni RS, Cernuschi M (2018) Combination of UAV and terrestrial photogrammetry to assess rapid glacier evolution and map glacier hazards. Nat Hazards Earth Syst Sci 18(4):1055–1071
Geomatics World (2017) UAV Monitoring of coastal erosion. https://www.geomatics-world.co.uk/content/article/uav-monitoring-of-coastal-erosion. Accessed 25 Sept 2018
Gonçalves J, Henriques R (2015) UAV photogrammetry for topographic monitoring of coastal areas. ISPRS J Photogram Remote Sens 104:101–111
Hori T, Tamate S (2018) Monitoring Shear strain in shallow subsurface using mini pipe strain meter for detecting potential threat of slope failure. Geotech Test J 41(2)
Hungr O, Evans S, Hazzard J (1999) Magnitude and frequency of rock falls and rock slides along the main transportation corridors of southwestern British Columbia. Can Geotech J 36(2):224–238
Knapen A, Kitutu MG, Poesen J, Breugelmans W, Deckers J, Muwanga A (2006) Landslides in a densely populated county at the footslopes of Mount Elgon (Uganda): characteristics and causal factors. Geomorphology 73(1–2):149–165
Krishna K R (2016) Push button agriculture: Robotics, drones, satellite-guided soil and crop management. CRC Press
Kršák B, Blišťan P, Pauliková A, Puškárová P, Kovanič Ľ, Palková J (2016) Use of low-cost UAV photogrammetry to analyze the accuracy of a digital elevation model in a case study. Measurement 91:276–287
Kumar NS, Ismail MAM, Sukor NSA, Cheang W (2018) Geohazard reconnaissance mapping for potential rock boulder fall using low altitude UAV photogrammetry. Paper presented at the IOP conference series: materials science and engineering, p 012033
Lucieer A, Jong SM, Turner D (2014) Mapping landslide displacements using structure from motion (SfM) and image correlation of multi-temporal UAV photography. Prog Phys Geogr 38(1):97–116
Michoud C, Carrea D, Costa S, Derron M-H, Jaboyedoff M, Delacourt C (2015) Landslide detection and monitoring capability of boat-based mobile laser scanning along Dieppe coastal cliffs, Normandy. Landslides 12(2):403–418
Reis A, Araújo E, Silva C, Cruz A, Gorini C, Droz L (2016) Effects of a regional décollement level for gravity tectonics on late Neogene to recent large-scale slope instabilities in the Foz do Amazonas Basin, Brazil. Mar Pet Geol 75:29–52
Rossi G, Tanteri L, Tofani V, Vannocci P, Moretti S, Casagli N (2018) Multitemporal UAV surveys for landslide mapping and characterization. Landslides 1–8
Remondino F, Barazzetti L, Nex F, Scaioni, M, Sarazzi D (2011) UAV photogrammetry for mapping and 3d modeling–current status and future perspectives. In: International archives of the photogrammetry, remote sensing and spatial information sciences, vol 38, no 1, p C22
Spatalas S, Tsioukas V, Daniil M (2006) The use of remote controlled helicopter for the recording of large scale urban and suburban sites. In: Proceedings of the scientific conference. Culture of representation, Xanthi, Greece
Tahar K (2013) An evaluation on different number of ground control points in unmanned aerial vehicle photogrammetric block. Int Arch Photogramm Remote Sens Spat Inf Sci 40:93–98
Tahar KN (2015) Investigation on different scanning resolutions for slope mapping studies in cameron highlands, Malaysia. Arabian J Sci Eng 40(1):245–255
Trappmann D, Stoffel M, Corona C (2014) Achieving a more realistic assessment of rockfall hazards by coupling three-dimensional process models and field-based tree-ring data. Earth Surf Proc Land 39(14):1866–1875
Tung WY, Nagendran SK, Ismail MAM (2018) 3D rock slope data acquisition by photogrammetry approach and extraction of geological planes using FACET plugin in CloudCompare. Paper presented at the IOP conference series: earth and environmental science, p 012051
Udin W, Ahmad A (2014) Assessment of photogrammetric mapping accuracy based on variation flying altitude using unmanned aerial vehicle. Paper presented at the IOP conference series: earth and environmental science, p 012027
Uysal M, Toprak Polat N (2015) DEM generation with UAV photogrammetry and accuracy analysis in Sahitler hill. Measurement 73:539–543
Xiang J, Chen J, Sofia G, Tian Y, Tarolli P (2018) Open-pit mine geomorphic changes analysis using multi-temporal UAV survey. Environ Earth Sci 77(6):220
Yeh F-H, Huang C-J, Han J-Y, Ge L (2018) Modeling slope topography using unmanned aerial vehicle image technique. Paper presented at the MATEC web of conferences, p 07002
Yusoff AR, Ariff MFM, Idris KM, Majid Z, Chong AK (2017) Camera calibration accuracy at different UAV flying heights. In: The international archives of photogrammetry, remote sensing and spatial information sciences, vol 42, p 595
Zieher T, Toschi I, Remondino F, Rutzinger M, Kofler C, Mejia-Aguilar A, Schlögel R (2018) Sensor-and scene-guided integration of TLS and photogrammetric point clouds for landslide monitoring. In: International archives of the photogrammetry, remote sensing & spatial information sciences, vol 42, no 2
Acknowledgements
The authors would like to express their sincere appreciation to Universiti Teknologi Malaysia (UTM) under GUP Tier 2 (Vot. 14J96) and PAS Grant (Vot OK319) for supporting this study. In addition, the authors would like to thank to the Geospatial Imaging and Information Research Group UTM (Gi2RG UTM) for supporting the image of research equipment to be shown in this study.
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Yusoff, A.R., Darwin, N., Majid, Z., Ariff, M.F.M., Idris, K.M., Abbas, M.A. (2019). Geospatial-Based Slope Mapping Studies Using Unmanned Aerial Vehicle Technology. In: Altan, O., Chandra, M., Sunar, F., Tanzi, T. (eds) Intelligent Systems for Crisis Management. Gi4DM 2018. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-030-05330-7_8
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