Unmanned Aerial Systems in the Process of Juridical Verification of Cadastral Border

Abstract

ABSTRACT:Quite often in the verification of cadastral borders, owners of the parcels involved are not able to make their attendance at the appointed moment in time. New appointments have to be made in order to complete the verification process, and as a result often costs and throughput times grow beyond what is considered to be acceptable. To improve the efficiency of the verification process an experiment was set up that refrains from the conventional terrestrial methods for border verification. The central research question was formulated as "How useful are Unmanned Aerial Systems in the juridical verification process of cadastral borders of ownership at het Kadaster in the Netherlands?" For the experiment, operational evaluations were executed at two different locations. The first operational evaluation took place at the Pyramid of Austerlitz, a flat area with a 30m high pyramid built by troops of Napoleon, with low civilian attendance. Two subsequent evaluations were situated in a small neighbourhood in the city of Nunspeet, where the cadastral situation recently changed, resulting from twenty new houses that were build. Initially a mini-UAS of the KLPD was used to collect photo datasets with less than 1cm spatial resolution. In a later stage the commercial service provider Orbit Gis was hired. During the experiment four different software packages were used for processing the photo datasets into accurate geo-referenced ortho-mosaics. . In this article more details will be described on the experiments carried out. Attention will be paid to the mini-UAS platforms (AscTec Falcon 8, Microdrone MD-4), the cameras used, the photo collection plan, the usage of ground control markers and the calibration of the camera's. Furthermore the results and experiences of the different used SFM software packages (Visual SFM/Bundler, PhotoScan, PhotoModeler and the Orbit software) will be shared.

Use of Unmanned Aerial Vehicles (UAVs) for Updating Farmland Cadastral Data in Areas Subject to Landslides

“…According to Reference [38], when ownership of one or more parts of a parcel changes, buyers and sellers are legally obliged to identify the new boundaries. After verification, the new cadastral situation is created through surveying and cartographical activities.…”

Review of Automatic Feature Extraction from High-Resolution Optical Sensor Data for UAV-Based Cadastral Mapping

“…The entirety of case studies confirms that UAVs are suitable as an addition to conventional data acquisition methods in order to create detailed cadastral maps including overview images or 3D models [40,41,47]. The average geometrical precision is shown to be the same, or better, compared to conventional terrestrial surveying methods [42]. UAVs will not substitute conventional approaches, since they are currently not suited to map large areas such as entire countries [48].…”

“…Furthermore, case studies tend to investigate possibilities of applying UAVs to reshape the cadastral production line efficiency and effectiveness [42][43][44]. In the latter, manual boundary detection with all stakeholders is conducted in an office, eliminating the need for convening all stakeholders on the parcel.…”

“…Man-made objects are found to define cadastral boundaries as well as natural objects. Studies name buildings, hedges, fences, walls, roads, footpaths, pavement, open areas, crop type, shrubs, rivers, canals and water drainages as cadastral boundary features [24,31,32,34,42,[60][61][62]. Trees are named as the most limiting factor since they often obscure the view of the actual boundary [41,63].…”

Uav Monitoring for Enviromental Management in Galapagos Islands

“…The wide variety of UAVs makes also very wide the range of possible applications, such as agriculture (Zhang and Kovacs, 2012); environment and ecology (Anderson and Gaston, 2013;Salamí et al, 2014); natural disasters (Baiocchi et al, 2013); cadaster (Rijsdijk et al, 2013) and cultural heritage (Bendea et al, 2007). Specifically for environmental management is was applied to biomass monitoring (Bendig et al, 2015); forest tree discrimination (Clark et al, 2005); health condition of riparian forest species (Michez et al, 2016); weed mapping in crop fields (Peña et al, 2013); forest fallen trees detection (Inoue et al, 2014) and quantification of forest gap patterns (Getzin et al, 2014).…”