Coordinate transformation of cadastral maps using different adjustment methods

Şişman, Yasemin

doi:10.1080/02533839.2014.888800

Cited by 11 publications

(9 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If there are fewer measurements than unknown quantities or the measurements are dependent on each other (linear dependency), the matrix has no Cayley inverse. In this case, the Moore-Penrose pseudoinverse, a generalization of the inverse matrix is employed to acquire a distinctive solution (Güllü et al 2003, Akyilmaz 2007, Sisman 2014.…”

Section: Ls Methodsmentioning

confidence: 99%

Comparative Analysis of Least-squares Approaches for 3D Datum Transformation in Western Turkey

Güllü¹,

Yılmaz²,

Baybura³

2017

AKU-J. Sci. Eng.

View full text Add to dashboard Cite

In Turkey, the national reference frame was changed for geodetic applications in parallel with the increasing use of Global Navigation Satellite System technology. Due to the reference frame change, the three-dimensional (3D) datum transformation has become compulsory between ED50 and WGS84. Several 3D datum transformation algorithms have been developed for geodetic applications. The wellknown technique is the Least-Squares (LS) method. In this study, alternative 3D datum transformation approaches (including the Total Least-Squares (TLS) and the Weighted TLS (WTLS) methods) were compared with the LS method over a test area. The results showed that the WTLS transformed 3D coordinates with better accuracy than the LS and TLS methods. Türkiye'nin Batısında 3B Datum Dönüşümü için En Küçük Kareler Yaklaşımlarının Karşılaştırma Analizi Anahtar kelimeler 3B datum dönüşümü; En küçük kareler (EKK); Toplam en küçük kareler (TEKK); Ağırlıklı toplam en küçük kareler (ATEKK). Özet Türkiye'de, Global Uydu Konumlama Sistemi teknolojisinin artan kullanımına paralel olarak, ulusal referans sistemi değiştirilmiştir. Referans sistemi değişikliğine bağlı olarak, ED50 ile WGS84 arasında üçboyutlu (3B) datum dönüşümü zorunlu hale gelmiştir. Jeodezik uygulamalar için çeşitli 3B datum dönüşüm algoritmaları geliştirilmiştir. En iyi bilinen teknik En-Küçük Kareler (EKK) dır. Bu çalışmada alternatif (Toplam En-Küçük Kareler (TEKK) yi ve ağırlıklı TEKK (ATEKK) yi içeren) 3B datum dönüşüm yaklaşımları bir test alanında EKK yöntemiyle karşılaştırılmıştır. Sonuçlar ATEKK nin 3B koordinatları EKK ve TEKK yöntemlerinden daha doğru dönüştürdüğünü göstermiştir.

show abstract

Section: Ls Methodsmentioning

confidence: 99%

Comparative Analysis of Least-squares Approaches for 3D Datum Transformation in Western Turkey

Güllü¹,

Yılmaz²,

Baybura³

2017

AKU-J. Sci. Eng.

View full text Add to dashboard Cite

show abstract

“…There is no single way to achieve that; a new dataset could be created from scratch or the existing one could be modified. The principal alternatives might be organized according to the reference used: manually generate it from scratch using an orthoimage as reference (Sandoval, 2004;Balado and López-Vázquez, 2020), apply a mathematical transformation to the legacy land parcel map (Siriba et al, 2012) or even the use of information without geographic reference (Hesse et al, 1990;Tamim, 1992;Tong et al, 2009;Sisman, 2014; ISSN (impresa) 0080-2085 ISSN (en línea) 2663-3981 Cvijetinovic et al, 2015). We have restricted the list to those papers that considered also the accuracy in terms of area.…”

Section: State Of the Artmentioning

confidence: 99%

Admissible relative errors of the parcel area of a land parcel map base created as a synthesis of individual survey maps

Barbieri¹,

López-Vázquez²

2019

rcar

View full text Add to dashboard Cite

Actualmente en Uruguay la cartografía base catastral está dada por un parcelario digital integrado y actualizado pero cuyas características geométricas no son adecuadas para que sea interoperable con otras capas de información de alta exactitud.Se está considerando generar una nueva cartografía, para lo que hay que especificar metodología y requerimientos, determinando la exactitud geométrica que es posible y razonable alcanzar para posteriormente exigirla a la hora de la contratación de dicho trabajo. En este trabajo se ensayó el procedimiento de agregar cada parcela con la(s) parcela(s) lindera(s) formando una unidad. Como en Uruguay las áreas públicas no disponen de mensura, el proceso de unión se interrumpe al llegar a una ruta, un curso de agua, etc. Los planos de mensura rurales (del orden de 250 000) están digitalizados pero no vectorizados, por lo cual tras hacerlo se realizó un trabajo de escalado, rotación y eventualmente deformación para luego integrarlo con sus vecinos. Para las rutas y caminos públicos se dispone de trazas GNSS, lo que permitió darle a cada bloque coordenadas absolutas. La exactitud de la cartografía resultante se valoró en términos del error relativo del área de cada parcela, resultando que el error cometido es de distribución normal, con media 0.10% y desviación estándar 3.51%, dejando así al 82.0% de las parcelas con menos del 5% de error. En términos de error planimétrico, crucial para asegurar la interoperabilidad, el mismo fue de 53.79 m al 95% de nivel de confianza.

show abstract

“…The common error in digitizing process such as distortion of source map, digitizing operational errors and ground coordinate system constituted a combination of systematic and random errors (Tong, Shi, & Liu, 2009). Today's cadastral database is a combination of data from various sources, technologies and measurement techniques depending on the method of production and measurement used according to technological and legal changes from time to time (Sisman, 2014). As a result, all these factors will contribute errors when the legacy dataset integrating to the new high accuracy data.…”

Section: Introductionmentioning

confidence: 99%

Cadastral Positioning Accuracy Improvement (Pai): A Case Study of Pre-Requisite Data Quality Assurance

Hashim

Omar

Omar³

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Abstract. Nowadays, there is an increasing need for comprehensive spatial data management especially digital cadastral database (DCDB). Previously, the cadastral database is in hard copy map, then converted into digital format and subsequently updated. Theoretically, these legacy datasets have relatively low positional accuracy caused by limitation of traditional measurement, adjustment technique and technology changes over time. With the growth of spatial based technology especially Geographical Information System (GIS) and Global Navigation Satellite System (GNSS) the Positional Accuracy Improvement (PAI) to the legacy cadastral database is inevitable. PAI is the refining process of the geometry feature in a geospatial dataset through integration between legacy and higher accuracy dataset to improve its actual position. However, by merely integrating both datasets will lead to a distortion of the relative geometry. Thus, an organized method is required to minimize inherent errors in fitting to the new accurate dataset. The focus of this study is to design a comprehensive data preparation for legacy cadastral datasets improvement. The elements of datum traceability, cadastral error propagation and weightage setting in adjustment will be focused to achieve the targeted objective. The proposed result can be applied as a foundation for PAI approach in cadastral database modernization.

show abstract

Coordinate transformation of cadastral maps using different adjustment methods

Cited by 11 publications

References 17 publications

Comparative Analysis of Least-squares Approaches for 3D Datum Transformation in Western Turkey

Comparative Analysis of Least-squares Approaches for 3D Datum Transformation in Western Turkey

Admissible relative errors of the parcel area of a land parcel map base created as a synthesis of individual survey maps

Cadastral Positioning Accuracy Improvement (Pai): A Case Study of Pre-Requisite Data Quality Assurance

Contact Info

Product

Resources

About