Abstract
Syria is a developing country adopting the local datum known as clarke1880 for all surveying and mapping activities. Currently, for all numerical maps and digital models in Syria, the use of satellite positioning technology is needed and mainly for geodetic applications using Global Navigation Satellite Systems (GNSS). The integration of Syrian cadastral data into digital twins is essential for the country construction and infrastructure projects. Therefore, the establishment of a functional relationship between the Clarke 1880 and GNSS reference datum is necessary. The problem is in one hand, the absence of accurate transformation parameters from GNSS data into the Syrian Cadastral system. In another hand, the insufficiency of geodetic network reference points in the region severely hinders attempts to make use of GNSS; some of these points have issues due to vacancies in the region while others have been damaged or lost entirely over the years.
In this study, the least squares method is applied on a set of 100 points distributed across the area of Syria, to obtain the 7-transformation parameters whose global and local geocentric coordinates are known and then estimate their accuracy. These parameters were then used to transform geocentric coordinates of a set of 35 points, whose global geocentric coordinates are known, into the local geocentric coordinates. However, Syria’s national coordinate system is a projected grid coordinate, called the Syrian stereographic system (cadastral system), and thus the geocentric coordinates (X, Y, Z) on the local datum are not applicable. There is therefore the need to obtain these coordinates in the Syrian stereographic system. Statistical study of errors was carried out as well as the calculation and evaluation of the accuracy indicators to give finally necessary recommendations to integrate Syrian cadastral system in digital twins.
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References
Ahmed, A.E.M.: Common lines comparison between Clark 1880 (Adindan - Sudan Datum) ellipsoid and (GPS) WGS-1984 ellipsoid. Int. J. Adv. Res. IT Eng. 2(10), 1–18 (2013)
Boateng, B.K., Ziggah, Y.Y.: Accuracy assessment of cartesian (X, Y, Z) to geodetic coordinates (φ, λ, h) transformation procedures in precise 3D coordinate transformation – a case study of Ghana geodetic reference network. J. Geosci. Geomatics 4(1), 1–7 (2016). https://doi.org/10.12691/jgg-4-1-1
Bolshakov, V.D., Gaidaif, P.A.: Tiori Matematichecki Obrabotki Geodezichckiee Ezmeriniee. Nedra, Moscow (1977)
Deakin, R.: 3D coordinate transformations. Surv. Land Inf. Syst. 58(4), 223–234 (1998)
Deakin, R.: A Note On the Bursa-Wolf and Molodensky-Badekas Transformations. School of Mathematical & Geospatial Sciences, RMIT University, pp. 1–21(2006)
Devore, J.L.: Probability and Statistics for Engineering and the Sciences, 8th edn. Brooks/Cole, Boston (2011)
Ghilani, C.D., Wolf, P.R.: Adjustment Computation: Spatial Data Analysis, 4th edn. Wiley, Hoboken, New Jersey (2006)
Hamoui, H.: Global Position System, Vienna, Austria (1997)
Kalua, I., Ndehedehe, C.E., Okwuashia, O., Eyoha, A.E.: Estimating the seven transformational parameters between two geodetic datums using the steepest descent algorithm of machine learning. Appl. Comput. Geosci. 4, 100086 (2022). https://doi.org/10.1016/j.acags.2022.100086
National Imagery and Mapping Agency (NIMA): Department of Defense World Geodetic System 1984: Its Definition and Relationships with Local Geodetic Systems, 3rd edn., St. Louis, MO, USA (2000)
Newsome, G.G., Harvey, B.R.: GPS coordinate transformation parameters for Jamaica. Surv. Rev. 37(289), 2018–2234 (2003)
Okiemute, E.S., Olujimi, O.F.: Understanding horizontal geodetic network precision and accuracy determination using least squares technique. Int. J. Innov. Search Multidisc. Field 4(7), 129–135 (2018)
Okwuashi, O., Eyoh, A.: 3D coordinate transformation using total least squares. Acad. Res. Int. 3(1), 393–405 (2012)
Peprah, M.S., Mensah, I.O., Akresi, J.A.: Performance evaluation of multivariate adaptive regression splines (MARS) and multiple linear regression (MLR) for forward conversion of geodetic coordinates (ϕ, λ, h) to cartesian coordinates (X, Y, Z). J. Geosci. Geomat. 5(3), 109–118 (2017). https://doi.org/10.12691/jgg-5-3-2
Ruffhead, A.C.: Enhancement of inverse projection algorithms with particular reference to the Syrian stereographic projection. Surv. Rev. 34(270), 501–508 (1998)
Ruffhead, A.C.: The SMITSWAM method of datum transformations consisting of Standard Molodensky in two stages with applied misclosures. Surv. Rev. 48(350), 376–384 (2016). https://doi.org/10.1179/1752270615Y.0000000048
Ruffhead, A.C., Whiting, B.M.: Introduction to Geodetic Datum Transformations and their Reversibility. Surveying Working Paper No. 1, University of East London (2020)
Ruffhead, A.C.: Investigation into the accuracy and practicality of methods for transforming coordinates between geodetic datums. [Doctoral thesis, School of Architecture, Computing and Engineering, University of East London] (2021)
Ziggah, Y.Y., Annan, R.F.: Determination of 3D transformation parameters for the Ghana geodetic reference network using ordinary least squares and total least squares techniques. Int. J. Geomat. Geosci. 7(3), 245–261 (2016)
Ziggah, Y.Y., Yakubu, I.: Alternative methods of determining translation parameters for geocentric translation model applications. Ghana J. Technol. 2(1), 38–50 (2017)
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Shaza, AK., Al-Razzak, R.A., Hassan, J. (2024). Integrating Syrian Cadastral Data into Digital Twins Through Accurate Determination of Transformation Parameters. In: Ben Ahmed, M., Boudhir, A.A., El Meouche, R., Karaș, İ.R. (eds) Innovations in Smart Cities Applications Volume 7. SCA 2023. Lecture Notes in Networks and Systems, vol 938. Springer, Cham. https://doi.org/10.1007/978-3-031-54376-0_15
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