Le rôle des pȃturages communaux dans l’agriculture de Pécs à l’époque du dualisme

The purpose of the study. To show the role of pastoral animal husbandry in dualism in a large Hungarian city where the majority of the population lived from industry, trade, mining and transport. How did the city assembly approach the maintenance of the pasture that made up part of the land. Applied methods. We examined the archives of the Baranya County Archives of the Hungarian National Archives, the archives of the city assembly and the city council, the accounting office, the economic supervision, the city regulations and cadastral maps, documents and maps, and we reviewed the local press. Literature and statistical data were compared with the opinions of contemporaries. Outcomes. Research has convincingly demonstrated that pasturage was essential to the lifestyles of the poorer, more self-exploiting suburban residents in particular, and even in the 1910s, most cattle were driven out to Megyeri and Szigeti suburban pastures. In our period, however, the area of pastures decreased significantly due to the conversion of pastures into arable land and meadows, the expansion of the city, and the needs of the military (training ground, shooting range).

Application of A Hand-Held LiDAR Scanner for the Urban Cadastral Detail Survey in Digitized Cadastral Area of Taiwan Urban City

The cadastral detail data is used for overlap analysis with digitized graphic cadastral maps to solve the problem of inconsistencies between cadastral maps and the current land situation. This study investigated the feasibility of a handheld LiDAR scanner to collect 3D point clouds in an efficient way for a detail survey in urban environments with narrow and winding streets. Then, urban detail point clouds were collected by the handheld LiDAR scanner. After point cloud filtering and the ranging systematic error correction that was determined by a plane-based calibration method, the collected point clouds were transformed to the TWD97 cadastral coordinate system using control points. The land detail line data were artificially digitized and the results showed that about 97% error of the digitized detail positions was less than 15 cm compared to the check points surveyed by a total station. The results demonstrated the feasibility of using a handheld LiDAR scanner to perform an urban cadastral detail survey in digitized graphic areas. Therefore, the handheld LiDAR scanner could be used for the production of the detail lines for urban cadastral detail surveying for digitized cadastral areas in Taiwan.

Availability of Historical Cadastral Data

A systematic approach to the establishment of the Franciscan Cadastre, which has been performed in most Central European countries, has resulted in the following documents: cadastral maps, cadastral municipality boundary demarcation records, lists of land parcels, lists of building parcels and lists of possessors. The documentation, which is stored in various archives, is digitized and made available to users through catalogs. The availability of documentation was examined in this study using three services in the catalogs—discovery, view and download—of which the largest percentage of documents is available through the discovery service. Documents that are available through the discovery service are described by the metadata standards. In this study, we examined the applicability of geographic information metadata standards and metadata standards to archival documentation in catalogs in which cadastral documentation was found. We determined a lack of application of geoinformation metadata standards, as it was a cadastral dataset, which represented one of the fundamental spatial datasets. The semantic mapping of elements between the applied standards in the catalogs and the geoinformation metadata standard (ISO 19115) showed that it was possible to apply the ISO 19115 standard to documents resulting from the establishment of the cadastre.

Pedogenic characteristics of soil in Melur block, Madurai district, Tamil Nadu in India: A case study

Soil is an important source of human life and agricultural production. Studying on the pedon and its site characteristics pave the way for understanding the nature of soils and its utility. A study on pedological characterization of soils in Melur block, Madurai District (Tamil Nadu), was carried out during 2019-2020 using grid sampling with village map/cadastral maps. Soil mapping unit-based soil samples were collected in Chunampoor, Thuvarangulam, Poonjuthi and Veppapadupu and pedons were characterized as per the standard procedure. The results showed that soils were moderately deep to very deep in nature, ranging from 2.5 YR 3/6 to 10YR 4/6. The soil texture varied from sandy clay loam to sandy clay with weak to moderate sub-angular blocky structure. The consistency of soil varied from slightly hard to very hard when dry, very friable to firm when moist, slightly sticky to very sticky and slightly plastic to very plastic in wet condition. The crops viz., paddy, sugarcane, banana, groundnut and vegetables were very suitable for such type of soil of the Madurai district.

Do historical maps show the maximal anthropopressure in the Carpathians?

Many landscapes bear the marks of historical land use. These marks can be the basis for a reconstruction of a historical land use structure as some of them are typical of different types of human activity. The aim of this paper is to determine whether Austrian cadastral maps from the 19th century present the image of the most transformed environment in the Western Carpathians as a result of agricultural activity. Land use structure and terrain forms were detected based on Austrian cadastral maps from 1848, airborne laser scanning and field studies. In two of the test areas, the percentage of arable fields was higher among the plots with stone mounds than the percentage among the plots without them. In the third test area, the relationship was reversed. Also, lynchets, terraces and stone walls sometimes occur in plots that were not arable fields in 1848. Thus, the Austrian cadastral maps from 1848 could not reflect the maximal range of arable fields in the Carpathians in the 19th century. However, it is impossible to determine the historical structure of land use precisely. Nevertheless, an inventory of terrain forms can be used to assess land use when historical maps have not preserved or when available maps do not present land use in detail.

Deep Learning for Detection of Visible Land Boundaries from UAV Imagery

Current efforts aim to accelerate cadastral mapping through innovative and automated approaches and can be used to both create and update cadastral maps. This research aims to automate the detection of visible land boundaries from unmanned aerial vehicle (UAV) imagery using deep learning. In addition, we wanted to evaluate the advantages and disadvantages of programming-based deep learning compared to commercial software-based deep learning. For the first case, we used the convolutional neural network U-Net, implemented in Keras, written in Python using the TensorFlow library. For commercial software-based deep learning, we used ENVINet5. UAV imageries from different areas were used to train the U-Net model, which was performed in Google Collaboratory and tested in the study area in Odranci, Slovenia. The results were compared with the results of ENVINet5 using the same datasets. The results showed that both models achieved an overall accuracy of over 95 %. The high accuracy is due to the problem of unbalanced classes, which is usually present in boundary detection tasks. U-Net provided a recall of 0.35 and a precision of 0.68 when the threshold was set to 0.5. A threshold can be viewed as a tool for filtering predicted boundary maps and balancing recall and precision. For equitable comparison with ENVINet5, the threshold was increased. U-Net provided more balanced results, a recall of 0.65 and a precision of 0.41, compared to ENVINet5 recall of 0.84 and a precision of 0.35. Programming-based deep learning provides a more flexible yet complex approach to boundary mapping than software-based, which is rigid and does not require programming. The predicted visible land boundaries can be used both to speed up the creation of cadastral maps and to automate the revision of existing cadastral maps and define areas where updates are needed. The predicted boundaries cannot be considered final at this stage but can be used as preliminary cadastral boundaries.

Conflicting Maps: How Legal Perspectives Could Minimize Zoning Cancellation in Republic of Korea

The purpose of this paper is to propose legal and policy enhancements that may prevent the cancellation of the legal force of zoning due to discord with the Korean Land Use Regulation Map (LURM) and secure legal stability. The legal force of zoning has been canceled because of the discordance of the LURM with past cadastral maps, and this has led to confusion regarding zoning decisions and even the postponement and cancellation of public projects. Here, the causes of LURM discordance and legal cancellation of zoning were identified and evaluated through judicial precedents. We found that improper use of data and adoption of tolerance caused the cancellations. To remedy these problems, we suggest the disclosure and application of cadastral computerized data instead of serial cadastral maps during LURM production activities to justify the legal adoption of allowable errors. We also recommend the widespread introduction of legal fiction for the rapid production of digital cadastral maps. Zoning cancellation could be minimized through such enhancements, and the map could allow people to visualize elements more conveniently. Moreover, this study aims to expand relevant legal mapping.

Remediation of the Solzan Industrial Waste Landfill at the Baikal Pulp and Paper Mill (BPPM)

The main environmental risks in the area of landfills are considered, all aspects of their technological reclamation using waste from the Baikal PPM are discussed. The data on the creation of soil and grounds using lignin-destroying microbiological preparations are presented. The final stage of the remediation of the Solzan landfill is the creation of cadastral maps 8, 9, 10 modern forest nurseries on the site, protected by flood and mudflow protection structures.

The Development of Village level Geospatial Framework for "Digital India"

The Digital India is a programme of the Government of India with a vision to transform India into a digitally empowered society and knowledge economy. Digital land record of villages is one of the important components of information system which plays a vital role in making this type of society Land record system is primarily managed manually in the country using registers and cadastral maps in the form of papers, clothes which are very rough, tempered, torn and in a bad condition. Thus, the record keeping and updation of the village level information is a big challenge. Preserving, updating and retrieving these records needs integration of the information in a single framework. This paper presents the development of village level geospatial framework which highlights the three growth areas among nine pillars of Digital India. It encapsulates the digitization, geodatabase preparation, topology, and geospatial framework development using revenue (Khasara) maps, Google earth imagery data and GIS technology.