Article of the Month - August 2020
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		Unmanned Aerial Vehicle for Topographical 
		Mapping of Inaccessible Land Areas in Ghana: A Cost-Effective Approach  
		Naa Lamkai Quaye-Ballard, Daniel 
		Asenso-Gyambibi and Jonathan Quaye-Ballard, Ghana
		
			
				
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				| Naa Lamkai Quaye-Ballard | 
				Daniel Asenso-Gyambibi | 
				Jonathan Quaye-Ballard | 
			
		
		
			
			This article in .pdf-format 
			(14 pages)
			
		
						SUMMARY
		The use of Unmanned Aerial Vehicles (UAVs) for remote data 
		acquisition has rapidly evolved in recent years. The integration of UAV 
		with Global Positioning System (GPS) and Geographic Information System 
		(GIS) techniques have reduced time and cost in acquiring data for 
		inaccessible land areas. Topographical mapping of water bodies, marshy 
		areas or land areas without land cover using traditional methods of 
		surveying in Ghana is time consuming and challenging. This study 
		considered topographical mapping of muddy Tailings Storage Facility 
		(TSF) sites at a rain forest mining area at Osino in the Eastern Region 
		of Ghana. DJI Phantom 4 Pro consumer UAV was flown at an altitude of 75m 
		in a 3D flight mode. Real Time Kinematic (RTK) GPS was used to 
		coordinate a reflective-marked Ground Control Point (GCP). 
		Georeferencing the orthophoto was done using the GCP. Digital Terrain 
		Model (DTM) was generated from the processed orthophotos after which 
		contours at 5 m interval were generated. Cross sections across the TSF 
		were drawn for further geotechnical and stability analysis for the 
		tailings dam. The accuracy of the topographic map is below 5 cm and 
		confirms the suitability of using consumer grade UAVs for topographical 
		mapping of inaccessible areas in a cost-effective manner. Thus, the 
		integration of RTK technology with the UAV and GIS is a feasible and 
		appropriately accurate solution for mapping inaccessible areas.   
		1. INTRODUCTION 
		Topographical surveying is mostly required by Engineers and 
		Architects to aid in infrastructural designs and construction. 
		Topographical maps are used for planning, monitoring and development of 
		infrastructure in Ghana. Geomatic Engineers are professionally required 
		to undertake the topographic surveying in accordance with the code of 
		ethics of the Ghana Institution of Surveyors (GhIS) and the standards 
		from the Survey and Mapping Division (SMD) of the Lands Commission of 
		Ghana. Due to the high cost of topographical surveying, unprofessional 
		Surveyors are either hired or even not involved in infrastructural 
		development and planning. This is evident in the haphazard 
		infrastructural development in Ghana resulting in persistent flooding 
		after rainfall and collapse of buildings especially in the urban areas 
		like Accra, Kumasi. Professional land Surveyors in Ghana  are constantly 
		researching on cost effective methods of surveying in order to achieve 
		Sustainable Development Goals (SDG) 9 and 11 (Terah Antwi et al., 2020). 
		To undertake a topographical survey, considerations must be made on the 
		purpose, map use, scale, size and terrain involved, cost, equipment to 
		be used, duration and surveyor’s experience (Ghilani & Wolf, 2012). 
		General mapping surveying is done by either ground and photogrammetric 
		methods or both (Ghilani & Wolf, 2012). The most common survey 
		instruments in Ghana are the Total Station and Global Positioning System 
		(GPS). Topographical mapping of water bodies, water-logged areas or land 
		areas without land cover using traditional methods of surveying in Ghana 
		is time consuming and challenging.  To map out swampy areas, flooded 
		areas or any area without getting in contact with the land surface have 
		been daunting tasks with high cost of operation and risk to the 
		surveyor. Photogrammetry methods, remote sensing data, scanners and 
		LiDAR mapping have been the available accurate way of mapping such areas 
		(Jalayer et al., 2015; Lato et al., 2015; Lim et al., 2003; Tang & Shao, 
		2015). These surveying methods are, however, very expensive to 
		undertake.
		The Land Surveying profession is constantly searching for fast and 
		cost-effective ways of surveying inaccessible area for years (Casagli et 
		al., 2017; Malehmir et al., 2016; Quaye-Ballard et al., 2013). In recent 
		times, the use of UAVs in surveying is being practiced worldwide 
		(Christiansen et al., 2017; Gonzalez et al., 2016; Turner et al., 2016). 
		UAVs, specially built with on board high accuracy GPS and specifically 
		built for mapping are available, but at a high cost. However, consumer 
		grade UAVs which are cheaper, simple to use and easily available with 
		multiple uses including photography, delivery, agriculture and 
		surveillance, are being used with the aid of GPS and Ground Control 
		Point (GCP) for topographical surveying (Aleshin et al., 2019). UAVs 
		survey uses photogrammetry methods with an output of orthophotos which 
		are geo-referenced and further processed for geographic data with the 
		aid of software. UAVs also used for vegetation cover estimation (e.g. 
		Chen et al., 2016; Ghazal et al., 2015; Torres-Sánchez et al., 2014) as 
		well as river topography and vegetation (Watanabe & Kawahara, 2016). 
		Orthophotos give a pictorial view of the site which makes planning and 
		analysis easier, unlike conventional surveying methods where sketches 
		and pictures are taken in addition.
		The Land Surveying profession is constantly searching for fast and 
		cost-effective ways of surveying inaccessible area for years (Casagli et 
		al., 2017; Malehmir et al., 2016; Quaye-Ballard et al., 2013). In recent 
		times, the use of UAVs in surveying is being practiced worldwide 
		(Christiansen et al., 2017; Gonzalez et al., 2016; Turner et al., 2016). 
		UAVs, specially built with on board high accuracy GPS and specifically 
		built for mapping are available, but at a high cost. However, consumer 
		grade UAVs which are cheaper, simple to use and easily available with 
		multiple uses including photography, delivery, agriculture and 
		surveillance, are being used with the aid of GPS and Ground Control 
		Point (GCP) for topographical surveying (Aleshin et al., 2019). UAVs 
		survey uses photogrammetry methods with an output of orthophotos which 
		are geo-referenced and further processed for geographic data with the 
		aid of software. UAVs also used for vegetation cover estimation (e.g. 
		Chen et al., 2016; Ghazal et al., 2015; Torres-Sánchez et al., 2014) as 
		well as river topography and vegetation (Watanabe & Kawahara, 2016). 
		Orthophotos give a pictorial view of the site which makes planning and 
		analysis easier, unlike conventional surveying methods where sketches 
		and pictures are taken in addition.
		This study examines the suitability and accuracy of a topographical 
		survey conducted with the combination of RTK-GPS instrument and a 
		consumer grade UAV at an inaccessible tailings dam at Osino in the 
		Eastern Region of Ghana to produce cross sections and contours for 
		design and construction of tailings storage facility (TSF). TSF are 
		earth-filled embankment dam that are used to store byproducts of mining 
		operation (Choi & Song, 2016; Wang, 2017; Yakubu et al., 2019). Mining 
		areas located at Osino and Asiakwa in the Eastern Region of Ghana are 
		within the valley flats of the Birim sub-basin of the Pra River. The 
		region is dominated with heavy rainfall during the rainy seasons in 
		Ghana. Due to the fact that TSFs are earth-filled, heavy rainfall 
		renders the dam walls weak, muddy and inaccessible. An unstable TSF may 
		collapse and cause environmental pollution, loss of life and property 
		Wang (2017). Geotechnical investigation and stability analysis test are 
		periodically done in order to check the condition of the dams, redesign 
		and reconstruct to improve productivity and safety (Attewill et al., 
		2004; Brown & Hewitt, 2016; Dong et al., 2019). TSF geotechnical 
		investigations require a topographical survey with Digital Terrain Model 
		(DTM) and contours for generating cross sectional drawings of the dam 
		for stability analysis test (Pastor et al., 2015; Torgoev, 2017).
		2. METHODOLOGY 
		
		
		Figure 1: Flowchart of methods and data processing
		2.1 Reconnaissance Survey
		A site visit was done to plan the best way to undertake the studies. 
		The Survey and Mapping Division (SMD) of the Lands Commission of Ghana 
		was visited to seek locations and coordinates of National benchmarks 
		closer to the study location. A desk study was done by studying Google 
		and Topographical maps of Ghana. 
		2.2 Establishment of Benchmarks and GCP
		From National benchmarks provided by the SMD, a total of four 
		concrete Temporal Benchmarks (TBM) were established using static GPS 
		surveying method. A vehicle screen shield which costs less than a dollar 
		together with a masking tape was used as a reflective material for GCP 
		(Figure 2). Six GCPs were established near the tailings dam via static 
		GPS surveying method. 
		
		
		Figure 2: (a) Team constructing relective material ; and (b) 
		Reflective material used as GCP
		2.3 GPS- RTK Survey
		RTK-GPS survey was carried out in a semi-kinematic or the stop-and-go 
		mode to improve the accuracy of data of geographic details at locations 
		that were easily accessible by the team (Figure 3). Spot heights across 
		the TSF at notable locations were also taken. Two (2) points were taken 
		on reflective materials to be used as validating points.
		
		
		Figure 3: GPS-RTK Survey
		2.4 UAV Survey
		Flight plan (Figure 4a) was designed to determine the area and path 
		for the UAV survey (Figure 4b). The UAV was set to enhanced 3D mode. The 
		selected flight height was seventy-five meters with approximately 
		fourteen (14) minutes flight duration using three batteries for an 
		extended area of 160,000 sqm. Duration of both GPS-RTK and UAV survey 
		was a day for an actual area of approximately 50,000sqm.
		
		
		Figure 4: (a) Flight Plan; and (b) UAV survey
		2.5 Data Processing
		The RTK-GPS data was downloaded and processed. UAV data was also 
		downloaded and processed using a Photogrammetric and image processing 
		software. GCP coordinates (Figure 5a) were imported into the software 
		for georeferencing (Figure 5b) the orthophotos.
		
		
		Figure 5: (a) GCP on 
		Orthophoto; and (b) Georeferencing GCP
		A dense cloud, mesh textured tiled model was created from which a DTM 
		was generated. The file was exported into a GIS software for digitizing 
		the geometry of the TSF (Figure 6a) and further analysis. Points were 
		picked on the orthophoto to compare with the GPS-RTK validating points 
		as well as the water levels. The digitised geometry of the TSF includes 
		the inner bottom perimeter, the toe perimeter, the top outer and inner 
		edge perimeter. Additional coordinates for spot heights and geometry 
		needed to draw cross-sections across the TSF were extracted on the 
		orthophoto in the GIS software and exported to a Computer Aided Design 
		(CAD) software (Figure 6b). The GPS-RTK coordinates were also imported 
		into the CAD software.
		
		
		Figure 6: (a) Digitising boundaries of 
		tailings dam; and (b) Point generation in GIS software
		All GPS-RTK 
		points and the generated points from the orthophoto were imported into 
		the CAD software. The digitised TSF geometry lines were also imported 
		and refined with imported additional points. The duration of data 
		processing and plotting lasted a day.
		3 RESULTS AND ANALYSIS
		The orthophoto showing TSF and surroundings in 3D 
		is shown in Figure 7.
		
		
		Figure 7: (a) Orthophotos of TSF sites (b) 3D 
		projection of TSF 
		The GPS-RTK coordinates of GCPs used in geo-referencing the othophoto 
		are shown in the table below (Table 1)
		Table 1: Coordinates of GCPs
		
		
		Validating GPS-RTK points compared to the points picked on the 
		processed orthophoto are shown in table 3. From table 3, the highest 
		difference recorded was 4.3cm in elevations and 4.7cm in Eastings
		
		
		Required information was drawn and shown on a standard topographical 
		map with a scale 1:100 (figure 8).
		
		
		Figure 8: Topographical Map showing TSF geometry and Cross section of 
		TSF
		A surface was created from both GPS-RTK points and generated points 
		from the orthophotos in the CAD software. From the triangulation, 
		contours at 5m intervals were generated. Cross sections through each TSF 
		were drawn (figure 8). 
		2 CONCLUSIONS AND RECCOMMENDATIONS
		The accuracy of the topographic map was below 5 cm and confirms the 
		suitability of integrating consumer grade UAVs with GPS and GIS for 
		topographical mapping of inaccessible areas in a cost-effective manner. 
		It was cost effective because it took comparatively shorter period for 
		topographical mapping. Field work was drastically reduced. The data was 
		sufficient and accurate enough to design a TSF for sustainable mining 
		activities and investigations. It was also useful for siting piezometers 
		for geotechnical investigations. Consumer grade UAV is recommended for 
		topographical survey especially for inaccessible areas. UAVs are 
		recommended for the production of acurrate geometry and cross-sectional 
		drawings for design, geotechnical analysis of slope stability of TSFs. 
		REFERENCES
		
			- 
			
Aleshin, M., Gavrilova, L., 
			& Melnikov, A. (2019). Use of unmanned aerial vehicles on example of 
			Phantom 4 (standard) for creating digital terrain models. 
			Engineering for Rural Development, 22,
			1686–1692.
			 
			- 
			
			Attewill, L., Gril, L. S., Penman, J., Vuola, P., Kuusiniemi, 
			R., Maijala, T., Hughes, A. K., Gardiner, K. D., Silva, E. R., & 
			Afonso, J. R. (2004). Long-Term Benefits and Performance of Dams. 
			13th Conference of the British Dam Society at University of Kent, 
			195.
			 
			- 
			
			Brown, A. J., & Hewitt, M. (2016). Managing the safety of very 
			high consequence dams—is the UK doing enough. Dams–Benefits and 
			Disbenefits; Assets or Liabilities? Proceedings of the 19th Biennial 
			Conference of the British Dam Society Held at Lancaster University 
			from 7–10 September 2016, 29–41.
			 
			- 
			
			Casagli, N., Frodella, W., Morelli, S., Tofani, V., Ciampalini, 
			A., Intrieri, E., Raspini, F., Rossi, G., Tanteri, L., & Lu, P. 
			(2017). Spaceborne, UAV and ground-based remote sensing techniques 
			for landslide mapping, monitoring and early warning. 
			Geoenvironmental Disasters, 4(1), 9.
			 
			- 
			
			Chen, J., Yi, S., Qin, Y., & Wang, X. (2016). Improving 
			estimates of fractional vegetation cover based on UAV in alpine 
			grassland on the Qinghai–Tibetan Plateau. International Journal of 
			Remote Sensing, 37(8), 1922–1936.
			 
			- 
			
			Chi, Y.-Y., Lee, Y.-F., & Tsai, S.-E. (2016). Study on high 
			accuracy topographic mapping via uav-based images. IOP Conference 
			Series: Earth and Environmental Science, 44(3), 32006.
			 
			- 
			
			Choi, Y., & Song, J. (2016). Sustainable development of 
			abandoned mine areas using renewable energy systems: A case study of 
			the photovoltaic potential assessment at the tailings dam of 
			abandoned Sangdong mine, Korea. Sustainability, 8(12), 1320.
			 
			- 
			
			Christiansen, M. P., Laursen, M. S., Jørgensen, R. N., Skovsen, 
			S., & Gislum, R. (2017). Designing and testing a UAV mapping system 
			for agricultural field surveying. Sensors, 17(12), 2703.
			 
			- 
			
			Dong, L., Tong, X., Li, X., Zhou, J., Wang, S., & Liu, B. 
			(2019). Some developments and new insights of environmental problems 
			and deep mining strategy for cleaner production in mines. Journal of 
			Cleaner Production, 210, 1562–1578.
			 
			- 
			
			Fitzpatrick, B. P. (2015). Unmanned Aerial Systems for 
			Surveying and Mapping: Cost Comparison of UAS versus Traditional 
			Methods of Data Acquisition. University of Southern California.
			 
			- 
			
			Ghazal, M., Al Khalil, Y., & Hajjdiab, H. (2015). UAV-based 
			remote sensing for vegetation cover estimation using NDVI imagery 
			and level sets method. 2015 IEEE International Symposium on Signal 
			Processing and Information Technology (ISSPIT), 332–337.
			 
			- 
			
			Ghilani, C. D., & Wolf, P. R. (2012). Elementary Surveying: An 
			Introduction to Geomatics (13th ed.). Prentice hall.
			 
			- 
			
			Gonzalez, L. F., Montes, G. A., Puig, E., Johnson, S., 
			Mengersen, K., & Gaston, K. J. (2016). Unmanned aerial vehicles 
			(UAVs) and artificial intelligence revolutionizing wildlife 
			monitoring and conservation. Sensors, 16(1), 97.
			 
			- 
			
			Hendriatiningsih, S., Saptari, A. Y., Soedomo, A., Widyastuti, 
			R., Rahmadani, P., & Harpiandi, A. (2019). Large Scale Mapping Using 
			Unmanned Aerial Vehicle (UAV)-Photogrammetry To Accelerate Complete 
			Systematic Land Registration (PTSL)(Case Study: Ciwidey Village, 
			Bandung Regency, Indonesia). IOP Conference Series: Earth and 
			Environmental Science, 313(1), 12042.
			 
			- 
			
			Jalayer, M., Gong, J., Zhou, H., & Grinter, M. (2015). 
			Evaluation of remote sensing technologies for collecting roadside 
			feature data to support highway safety manual implementation. 
			Journal of Transportation Safety & Security, 7(4), 345–357.
			 
			- 
			
			Lato, M. J., Hutchinson, D. J., Gauthier, D., Edwards, T., & 
			Ondercin, M. (2015). Comparison of airborne laser scanning, 
			terrestrial laser scanning, and terrestrial photogrammetry for 
			mapping differential slope change in mountainous terrain. Canadian 
			Geotechnical Journal, 52(2), 129–140.
			 
			- 
			
			Lim, K., Treitz, P., Wulder, M., St-Onge, B., & Flood, M. 
			(2003). LiDAR remote sensing of forest structure. Progress in 
			Physical Geography, 27(1), 88–106.
			 
			- 
			
			Malehmir, A., Socco, L. V., Bastani, M., Krawczyk, C. M., 
			Pfaffhuber, A. A., Miller, R. D., Maurer, H., Frauenfelder, R., 
			Suto, K., & Bazin, S. (2016). Near-surface geophysical 
			characterization of areas prone to natural hazards: a review of the 
			current and perspective on the future. In Advances in Geophysics 
			(Vol. 57, pp. 51–146). Elsevier.
			 
			- 
			
			Obanawa, H., & Hayakawa, Y. S. (2015). High-resolutional 
			topographic survey using small UAV and SfM-MVS technologies in 
			hardly accessible area. The International Symposium on Cartography 
			in Internet and Ubiquitous Environment 2015 C, 4.
			 
			- 
			
			Pastor, M., Blanc, T., Haddad, B., Drempetic, V., Morles, M. 
			S., Dutto, P., Stickle, M. M., Mira, P., & Merodo, J. A. F. (2015). 
			Depth averaged models for fast landslide propagation: mathematical, 
			rheological and numerical aspects. Archives of Computational Methods 
			in Engineering, 22(1), 67–104.
			 
			- 
			
			Quaye-Ballard, J. A., An, R., Andam-Akorful, S. A., & 
			Quaye-Ballard, N. L. (2013). Role of Geoinformatics for Ghana oil 
			and gas industry. International Journal on Recent and Innovation 
			Trends in Computing and Communication, 1(6), 539 – 546.
			 
			- 
			
			Taddia, Y., Stecchi, F., & Pellegrinelli, A. (2019). USING DJI 
			PHANTOM 4 RTK DRONE FOR TOPOGRAPHIC MAPPING OF COASTAL AREAS. 
			International Archives of the Photogrammetry, Remote Sensing & 
			Spatial Information Sciences.
			 
			- 
			
			Tang, L., & Shao, G. (2015). Drone remote sensing for forestry 
			research and practices. Journal of Forestry Research, 26(4), 
			791–797.
			 
			- 
			
			Terah Antwi, A., Quaye-Ballard, J. A. Arko-Adjei, A., 
			Osei-wusu, W., & Quaye-Ballard, N. L. (2020). Comparing Spatial 
			Accessibility and Travel Time Prediction to Commercial Centres by 
			Private and Public Transport: A Case Study of Oforikrom District. 
			Journal of Advanced Transportation, 2020, 8. 
			doi.org/10.1155/2020/8319089
			 
			- 
			
			Torgoev, A. (2017). Assessment of landslide hazard in the 
			environmental hotspot areas of the Kyrgyz Tien-Shan: Spatial 
			analysis and Numeric modelling. Université de Liège, Liege, 
			Belgique.
			 
			- 
			
			Torres-Sánchez, J., Pena, J. M., de Castro, A. I., & 
			López-Granados, F. (2014). Multi-temporal mapping of the vegetation 
			fraction in early-season wheat fields using images from UAV. 
			Computers and Electronics in Agriculture, 103, 104–113.
			 
			- 
			
			Turner, I. L., Harley, M. D., & Drummond, C. D. (2016). UAVs 
			for coastal surveying. Coastal Engineering, 114, 19–24.
			 
			- 
			
			Wang, G. (2017). Recent advances in geotechnical engineering of 
			dams and embankments. Proceedings of the 19th International 
			Conference on Soil Mechanics and Geotechnical Engineering, Seoul.
			 
			- 
			
			Watanabe, Y., & Kawahara, Y. (2016). UAV photogrammetry for 
			monitoring changes in river topography and vegetation. Procedia Eng, 
			154, 317–325.
			 
			- 
			
			Yakubu, I., Ziggah, Y. Y., & Yeboah, C. (2019). Evaluating 
			Hurst Parameters and Fractal Dimensions of Surveyed Dataset of 
			Tailings Dam Embankment. International Journal of Geotechnical and 
			Geological Engineering, 13(4), 217–221.
			 
		
		
		BIOGRAPHICAL NOTES
		
		Naa Lamkai Quaye-Ballard
		
		Ing. Surv. Mrs. Naa Lamkai Quaye-Ballard is a researcher with 
		interest in sustainable public transportation and geospatial 
		technologies. She is currently a Researcher with the CSIR- Building and 
		Road Research Institute (BRRI), Ghana and pursuing her doctorate degree 
		at KNUST. Having worked as a consulting Geodetic Engineer in Ghana for 
		over fifteen years, she has supervised a lot of projects, notable among 
		them are the construction of the Evans Atta Mills High Street, Accra and 
		Lake Road Interchange, Kumasi. She is an Executive member of Women in 
		Engineering Ghana (WinE). She is a member of the Ghana Institution of 
		Engineering as well as the Ghana Institution of Surveyors 
		
		Daniel Asenso-Gyambibi
		Ing. Surv. Daniel Asenso-Gyambibi is the Director of the 
		CSIR-Building and Road Research Institute, Ghana. His research areas are 
		land administration, GIS and Mapping. He has 23 years work experience, 
		working on a number of projects of national importance including the 
		Ghana Lana Administration Project (LAP), mapping of degraded mine site 
		and reclamation activities, preparation of schemes for urban renewal, 
		perfecting rural land title, hydrographic surveys, mine surveys, GIS in 
		health, transport, mining and agricultural development etc. Daniel's 
		wide experience is as a result of his involvement in projects with 
		varied professionals in the Built Environment. He is a PhD candidate in 
		Geomatic Engineering. He holds an MPhil and BSc in Geomatic Engineering 
		from the Kwame Nkrumah University of Science and Technology, Ghana., 
		Ghana. He is a member of Ghana Institution of Surveyors and Ghana 
		Institution of Engineering. 
		Jonathan Arthur Quaye-Ballard
		Senior Lecturer and Head of Department of Geomatic Engineering, 
		KNUST, Kumasi, Ghana. Holds BSc. Geodetic Engineering from KNUST, 
		Kumasi, Ghana; MSc. Geo-Information Science and Earth Observation from 
		ITC, Enschede, Netherlands; and PhD. Geodesy and Survey Engineering from 
		Hohai University, Nanjing, China. A Licensed Surveyor and member of 
		Ghana Institution of Surveyors (GhIS) and Ghana Institution of 
		Engineering (GhIE). Research interest are Usability Testing; 
		Applications of Geographic Information Systems (GIS) and Remote Sensing 
		(RS) for environmental resource management and analysis; Cartographic 
		Visualization; Systems Analysis; and Computer Supported Collaborative 
		Learning (CSCL).
		CONTACTS
		Ing. Surv. Naa Lamkai Quaye-Ballard
		Council for Scientific and Industrial Research (CSIR)
		Building and Road Research Institute (BRRI)
		P. O. Box UP40 Kumasi
		Ghana
		Ing. Surv. Daniel Asenso-Gyambibi
		Council for Scientific and Industrial Research (CSIR)
		Building and Road Research Institute (BRRI)
		P. O. Box UP40 Kumasi
		Ghana
		Dr. Jonathan Arthur Quaye-Ballard
		Department of Geomatic Engineering
		Kwame Nkrumah University of Science and Technology (KNUST)
		Kumasi
		Ghana
		Web site: www.knust.edu.gh