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Land consolidation in rural areas is greatly influenced by a number of social, agricultural, and economic factors. They extend the time and complicate activities related to the implementation of this project. Land consolidation is a huge investment, requiring a good and up-to-date map. Up-to-date data that reflects reality are the basis for good and efficient land consolidation in rural areas. To improve the creation of a land consolidation project, the most appropriate solution would be to place all the necessary data to create a land consolidation project on “geoportals” websites. Providing data on the websites of geoportals in Poland and Finland in the form of a map portal would enable both visual and substantive analysis of spatial changes in rural areas. Therefore, this article pursues two main scientific goals. The first purpose of this article is to analyze the history and scope of land consolidation in Poland and Finland in order to learn the specifics of land consolidation in a given country. Comparisons and analyses were made on the basis of the authors’ experience in Poland and Finland with land consolidation in the areas described. The second scientific goal of the article is to compare the availability of geospatial data in the context of the methodology of performing land consolidation in rural areas, which leads to increased energy efficiency in agricultural production by reducing the need for energy, especially fuel for agricultural machinery. The results from the table with a list of geoportals in Poland and Finland are a summary of the data available for free. Thanks to it, land consolidation contractors around the world will have the opportunity to familiarize themselves with and perhaps use this data when creating a rural land consolidation project. Good land consolidation planning will lead to effective and economical use of rural space. This is part of the 2030/2050 strategy. Reducing agricultural production costs, lower fuel consumption, and a smaller carbon footprint. This is what Poland and Finland are striving for as countries belonging to the European Union.

The need for accurate registration of underground objects in the 3D cadastre is becoming increasingly common throughout the world. Research studies conducted in this area mostly focus on objects related to transportation or other public utilities and services. However, in settlements with a long history, apart from new objects, there are also various historical objects underground. Such places are not fully discovered, and sometimes they are not even fully inventoried with surveying methods. The aim of this work therefore is to try to describe the possibility of introducing historical undergrounds to the real estate cadastre created for three dimensions, in case of its creation, and to check ground laser scanning as a method of measuring such objects in order to introduce them to the 3D cadastre. Considerations on the inclusion of underground historical objects into the three-dimensional cadastre database began with conceptual considerations. Their result is the elaboration of UML schemas describing relationships among 3D cadastre objects including underground objects. According to the authors, such underground objects should constitute a completely new class called ‘EGB_BuildingBlockUnderground3D’ and be part of the legal space of the entire building represented by the class ‘EGB_BuildingLegalSpace3D’ (the prefix EGB is an acronym of Polish cadastre name ‘Ewidencja Gruntów i Budynków’; in English, it stands for ‘Land and Building Cadastre’). In order to verify in practice the possibility of introducing historical underground objects into the 3D cadastre database, the inventory of the Underground Tourist Route in Rzeszów (Poland) was used. This route consists of a network of underground passageways and cellars built between the 14th and 18th centuries. The measurement was carried out with the application of the Faro Focus 3D terrestrial laser scanner. The underground inventory showed that at the time the current cadastre of land and buildings in Rzeszów was being founded, the boundaries of the cadastral parcels were established without knowing the location of the underground passageways under the Main Market Square. This resulted in a situation in which the objects located underground became parts of more than one cadastral parcel. If a 3D cadastre is created, such a situation must of course be recorded accordingly. The article proposes solutions for such situations.

In recent years, the growth of digital data has been unimaginable. This also applies to geospatial data. One of the largest data types is LiDAR point clouds. Their large volumes on disk, both at the acquisition and processing stages, and in the final versions translate into a high demand for disk space and therefore electricity. It is therefore obvious that in order to reduce energy consumption, lower the carbon footprint of the activity and sensitize sustainability in the digitization of the industry, lossless compression of the aforementioned datasets is a good solution. In this article, a new format for point clouds—3DL—is presented, the effectiveness of which is compared with 21 available formats that can contain LiDAR data. A total of 404 processes were carried out to validate the 3DL file format. The validation was based on four LiDAR point clouds stored in LAS files: two files derived from ALS (airborne laser scanning), one in the local coordinate system and the other in PL-2000; and two obtained by TLS (terrestrial laser scanning), also with the same georeferencing (local and national PL-2000). During research, each LAS file was saved 101 different ways in 22 different formats, and the results were then compared in several ways (according to the coordinate system, ALS and TLS data, both types of data within a single coordinate system and the time of processing). The validated solution (3DL) achieved CR (compression rate) results of around 32% for ALS data and around 42% for TLS data, while the best solutions reached 15% for ALS and 34% for TLS. On the other hand, the worst method compressed the file up to 424.92% (ALS_PL2000). This significant reduction in file size contributes to a significant reduction in energy consumption during the storage of LiDAR point clouds, their transmission over the internet and/or during copy/transfer. For all solutions, rankings were developed according to CR and CT (compression time) parameters.

3D cadastral issues have been the subject of scientific research for more than 20 years. However, the initial registration of objects in 3D cadastres remains a significant challenge. The purpose of this study is to verify whether it is possible to register objects for future 3D cadastres based on data from various sources such as laser scanning measurements and technical documentation. The research object is a building in Krakow (Poland). For objects with easy access such as common parts, parking lots, and outer parts of a building, laser scanning was applied. The premises (apartments) are private properties without free access; thus, the technical documentation of the building was used. A 3D model was built in BIM way (Autodesk Revit) based on a terrestrial laser scanning point cloud and technical drawings, but only for the geometrical part of the building. To illustrate the legal relationships among the 3D cadastral objects in the building, a UML model was also created. The results prove that the registration of objects for future 3D cadastres using both methods is possible. However, further research is required.