|Ph.D Student||Klebanov Michael|
|Subject||Implementation of Nationwide Coordinated Cadastre on the|
Basis of Original Measurements Processing
|Department||Department of Civil and Environmental Engineering||Supervisor||Professor Emeritus Yerach Doytsher|
|Full Thesis text - in Hebrew|
Cadastre is a system of land property registration that includes information about land parcels. Currently, the cadastral systems of many countries all over the world are based on paper maps, written documents, inaccurate field measurements, and physical marking of parcels' turning points on the ground. Aiming to promote the cadastral system by its transition to a coordinate-based system, two problems have to be solved: (i) developing an optimal method of processing the original cadastral documents, referring to separate cadastral projects; and, (ii) developing a model of joining the separate projects into a cadastral continuity maintaining a rigid topological structure on a nationwide level.
The research depicts a new mathematical approach to optimal processing the original cadastral documents belonging to separate cadastral projects, based on an application of the Gauss-Markov adjustment model.
The research proposes a comprehensive solution for an optimal integration of the separately processed cadastral projects into a homogeneous, seamless space aimed at obtaining identical coordinates of peripheral common turning points. The proposed method, entitled the Cadastral Triangulation (CT) Method, which is based on the photogrammetric mapping Aerial Triangulation principles and on the Gauss-Helmert model of a Generalized Least Squares Adjustment, deals with finding the appropriate parameters of global coordinate transformation, aimed at creating a cadastral space of high accuracy in a modern, accurate target grid.
The results of the adjustment process of the research are affected, to a great extent, by the number of the basic control points for the global transformation and adjustment process, and by their dispersion on the ground. The number of these points which are randomly located on the ground are not necessarily optimal for achieving the best results. The research analyzes the aforementioned factors and their influence on final results.
The research demonstrates the implementation of all the developed algorithms and methods as an integrated process - from the processing of original cadastral documents, up to combining the adjoining cadastral projects - to achieving a seamless cadastral space. The analyses have been carried out on a significant amount of simulative and real cadastral data. The proposed method improved the accuracy of boundary turning points and reduced the surveying residuals. After joining the separate projects into a cadastral continuity, the achieved accuracy of cadastral boundary points was at a level of one decimeter which fits the accuracy requirements of the future coordinate-based cadastre.