Publication: TRANSFORMATION METHODS FOR USING COMBINATION OF REMOTELY SENSED DATA AND CADASTRAL MAPS
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Copernicus GmbH
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Abstract. In order to examine using cadastral maps as base maps for aerial orthophotos, two different 2D transformation methods were applied between various coordinate systems. Study area was chosen from Kagithane district in Istanbul. The used data is an orthophoto (30 cm spatial resolution), and cadastral map (1:1000) taken from land office, containing the same region. Transformation methods are chosen as; 1st Order Polynomial Transformation and Helmert 2D Transformation within this study. The test points, used to determine the coefficients between the datums, were 26 common traverse points and the check points, used to compare the transformed coordinates to reliable true coordinates, were 10 common block corners. The transformation methods were applied using Matlab software. After applying the methods, residuals were calculated and compared between each transformation method in order to use cadastral maps as reliable vector data.
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Cartography, Technology, MATLAB, Artificial intelligence, Geography, Planning and Development, Social Sciences, Geometry, Ocean Engineering, Biochemistry, Gene, Map Projections and Geodesy Algorithms, Engineering, Geometric Processing of Remote Sensing Imagery, Coordinate Transformation, Cadastre, Traverse, Orthophoto, FOS: Mathematics, Applied optics. Photonics, Applications of 3D City Models, Spatial Distortion, Geography, T, Coordinate system, Building and Construction, Remote sensing, Engineering (General). Civil engineering (General), Computer science, TA1501-1820, Chemistry, Operating system, Physical Sciences, Transformation (genetics), Computer vision, Map Projections, Geodetic datum, TA1-2040, Block (permutation group theory), Mathematics