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Projectivity, affine, similarity and euclidean coordinates transformation parameters from ITRF to EUREF in Turkey

  • Kutubuddin Ansari EMAIL logo , Ozsen Corumluoglu and Mevlut Yetkin
Published/Copyright: February 14, 2017
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Abstract

Today, in geodesy most practical applications is to use a datum to get three dimensional position of a particular point. The geodetic techniques generally provide time dependent coordinates in global datum. The difference between the global datum like international terrestrial reference frame (ITRF) to local datum like Europe fixed reference frame (EUREF) can be up to several centimeters due to different velocity rate of tectonic plates. To get high-precision measurements, there is an increasing need of time dependent transformations from the global level to local level. The present paper treats, this theoretical problem of geodesy by using mathematical dependency between two spatial coordinate systems whose common points are given in both systems. The paper describes four different (projective, affine, similarity and euclidean) modified methodologies for the transformation between global (ITRF) to local (EUREF) by using the Turkish permanent GPS network (TPGN) as an example. The time series from TPGN stations are used to review these transformations from ITRF 2008 to EUREF 2008. The transformation parameters in all cases shows that mostly transform coordinates depends on its counterparts (X to x and Y to y) and others coordinates have very less effect. Finally to show the validity of our model a comparative analysis with standard Bursa-Wolf and Molodensky-Badekas models has been presented. The test shows that our model error is equivalent to standard models, in this view the presented models are acceptable and can improve our understanding in coordinate transformation.

Busra-Wolf model in general form is given by:

X¯=t¯+1+Δk·1+ΔR.x¯

where, X is coordinates vector in the first system, x coordinates vector in the second system, I is Identity matrix, T is translation vector and R is rotation matrix. The equation in matrix form:

XYZ=txtytz+1+Δk1R3R2R31R1R2R11xyzXYZ=xyz+100x0zy010yz0x001zyx0txtytzΔkR1R2R3

For n points:

X1x1Y1y1Z1z1X2x2Y2y2Z2z2.........XnxnYnynZnzn=100x10z1y1010y1z10x1001z1y1x10100x20z2y2010y2z20x2001z2y2x20.....................100xn0znyn010ynzn0xn001znynxn0txtytzΔkR1R2R3
Molodensky-Badekas model is given by:
X¯=X¯0+t¯+1+Δk·1+ΔR·x¯x¯0

where

X¯=inXin,Y¯=inYin,Z¯=inZin

The equation in matrix form can be written in following form:

XYZ=X0Y0Z0+txtytz+1+Δk1R3R2R31R1R2R11xx0yy0zz0

For n points

X1x1Y1y1Z1z1X2x2Y2y2Z2z2.........XnxnYnynZnzn=100x¯10z¯1y¯1010y¯1z¯10x¯1001z¯1y¯1x¯10100x¯20z¯2y¯2010y¯2z¯20x¯2001z¯2y¯2x¯20.....................100x¯n0z¯ny¯n010y¯nz¯n0x¯n001z¯ny¯nx¯n0txtytzΔkR1R2R3

Appendix II Flowchart of 3D coordinate transformation

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Received: 2016-9-28
Accepted: 2016-11-28
Published Online: 2017-2-14
Published in Print: 2017-3-1

© 2017 Walter de Gruyter GmbH, Berlin/Boston

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