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V2-1934: Assessment of the cadastral boundary stones marking for photogrammetric data acquisition using unmanned aerial vehicles, and the analysis of their effect on the positional accuracy of the point clouds and orthophoto

Project Title Assessment of the cadastral boundary stones marking for photogrammetric data acquisition using unmanned aerial vehicles, and the analysis of their effect on the positional accuracy of the point clouds and orthophoto
Project team: Anka Lisec, Marjan Čeh, Samo Drobne, Dejan Grigillo, Mojca Kosmatin Fras, Klemen Kozmus Trajkovski, Klemen Kregar, Krištof Oštir, Polona Pavlovčič Prešeren, Dušan Petrovič, Jernej Tekavec, Barbara Trobec, Tilen Urbančič
Duration:

36 months

1. 11. 2019 – 31. 10. 2021

Project Code: V2-1934
Lead partner: UL FGG
Project leader: Assoc. Prof. Dr. Anka Lisec (UL FGG)
Partners:  
Source of finance:

Slovenian Research Agency

 

Surveying and Mapping Authority of the Republic of Slovenia

Key words: land cadastre, cadastral monuments, ground markers, aerial photogrammetry, UAV, point cloud, ortophoto, positional accuracy, efficinecy

Description

The main aim of the project is to explore the possibilities of using remote sensing for the cadastral geospatial data acquisition. The project is focused on the use of optical sensors on Unmanned Aerial Vehicles – UAV for photogrammetric geospatial data acquisition. The focus of the project is on the optimization of the photogrammetric data acquisition for cadastral mapping. Photogrammetric cadastral data acquisition is not a novelty in the land cadastre, as the first projects in Europe and at the wider international level appeared already in the 1950s. In particular, those projects should be understood as a consequence of the technological development in the field of optical geospatial acquisition of spatial data by airplanes. Recently, the main challenge in the field of photogrammetric cadastral mapping has been in the development of new platforms and technologies for geospatial data acquisition from the air, remote-controlled systems for geospatial data acquisition, known also as Unmanned Aerial Systems – UAS. The unexplored is the field of marking of ground control points and cadastral points in the field, which would allow optimization of the processing and interpretation of the acquired geospatial data.

Project goals

The main objective of the project is to examine and evaluate the different ways of marking of ground control points and cadastral points for the purpose of UAV-cadastral mapping. The various ways of ground control and cadastral points’ marking will be examined mainly from the aspects of:

  • The possibility (semi)automatic identification of targets (signals) for image processing of acquired geospatial data,
  • The positional accuracy of point clouds and orthophoto, and
  • The positional accuracy of cadastral points in the national geodetic reference system D96/TM.

The results of testing the different methods of marking ground control points and cadastral points in study areas with a defined methodology for the quality assessment will be the basis for formulating proposals for an UAV-based photogrammetric cadastral mapping. The recommendation will include proposals for planning and implementing UAV-based photogrammetric cadastral survey, methodological recommendations for image processing and feature extraction, including proposals for marking ground control points and cadastral points, for control measurements, and for quality assessment of the data acquired.

Project work packages

Work Package 1 (WP1): Determination of the photogrammetric cadastral mapping using Unmanned Aerial Vehicles – UAV [M01-M08];

Work Package 2 (WP): Testing the quality of different methods for marking ground control and cadastral points from the perspective of automatic detection of points and image measurements on a point cloud and orthophoto [M07-M18];

Work Package 3 (WP3): Suitability assessment of the proposed photogrammetric cadastral mapping using UAVs [M19-M24];

Work Package 4 (WP4): Making recommendations for the UAV-based photogrammetric cadastral mapping [M22-M24];

Work Package 5 (WP5): Coordination and dissemination [M01-M24].