Digital Land Research Articles

Design of Project Cost Information Management System Based on Intelligent Construction

With the rapid development of computer science and technology, artificial intelligence technology has penetrated into all disciplines and fields. In this paper, the application of artificial intelligence in the field of valuation is systematically studied. Taking the land price of a residential land sample as an example, the digital land price model based on Surfer is established, and further research ideas are put forward.

Toward Smart Land Management: Land Acquisition and the Associated Challenges in Ghana. A Look into a Blockchain Digital Land Registry for Prospects

Land acquisition in Ghana is fraught with challenges of multiple sales, numerous unofficial charges, unnecessary bureaucracies, intrusion of unqualified middlemen, and lack of transparency among others. Studies have suggested digitization as a way forward to improve Ghana’s land management system and to address these acquisition challenges. However, none of these studies have specifically provided a clear conceptual digital framework for land acquisition. Most contemporary land literature globally appraise blockchain technology as a potential solution to these challenges in Ghana’s land acquisition process. This article applies an integrative review, mixed with strengths, weaknesses, opportunities, and threats (SWOT) analysis, and deductive lessons from a digital land registry concept to develop a blockchain-based smart land acquisition framework solution in view of Ghana’s land acquisition challenges. However, it is identified that threats of sabotage of this framework exist among some customary land owners, land officials, and private blockchain-based land experts for various reasons. Among others, a legal basis for a public–private partnership is recommended particularly to discourage sabotage from private blockchain-based land experts. We recommend future research works to delve into establishing a framework that can be used as a guide to assess the readiness of land management and land administration systems for blockchain consideration in sub-Sahara Africa, particularly Ghana.

An Introduction to the Legislation on Hi-tech Survey and Settlement of Lands in Odisha

Survey and Settlement is a continuous process. Digitalization of land records is a sine qua non. The success of the land laws depends upon better and accurate maintenance of digital land records. It also helps to curb corruption and, encourage a healthy and transparent economy dependent on land. Legislature these days are making laws which give intend and purpose to take help of modern technology for the survey of the lands, and preparation of various land records. The Orissa Special Survey and Settlement Act, 2012 is one such hi-tech legislation. The paper explores the law on the methods and procedures taken by the revenue officials for updating the records with the help of hi-technologies. The paper concludes with a hope for the revenue officials to inculcate the culture of using digital records for the day to day official transitions affecting public life.

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.

RUSLE model coupled with RS-GIS for soil erosion evaluation compared with T value in Southwest Iran

Evaluation of soil loss tolerance and of erosion risk is vital to sustain agricultural productivity and to manage natural resources. In the present study, we attempted to evaluate soil erosion risk of the Dorudzan watershed in Southwest Iran by using the RUSLE model coupled with RS-GIS. The soil erosion risk was compared with the measured soil loss tolerance (T value). To derive the RUSLE factors, we used a digital elevation map with a 10-m resolution, a 10-year rainfall data set, and a digital land use map with soil data obtained from 60 profiles plus Landsat-8 images. The thickness method was employed for determining the T value. The results revealed that the average of the T value was 10.4 t ha−1year−1, ranging from 3.5 to 22.5 t ha−1 year−1. The T value in Inceptisols with significantly deeper soils and a higher SOM percentage was noticeably higher than that of in Entisols. Regarding the T value, the SOM and permeability with correlation coefficients of 0.77 and 0.59, respectively, were the best-correlated properties. The annual soil loss (24.6 t ha−1 year−1), varying from zero in the flat areas up to 153.5 t ha−1 year−1 in the hilly areas, was more than twice the T value. Erosion classes of very high, severe, and very severe cover 25.07% (6983.2 ha) of the site. The LS factor has been identified as the most influential linked to soil erosion.

Разработка интеллектуальных мехатронных систем точного наземного сканирования поверхности склоновых земель

This paper describes the development of intelligent mechatronic systems for accurate ground scanning of slope land surface. Soil erosion causes a reduction in the areas acceptable for agricultural production, loss of soil fertility, creation of negative environmental situations and violation of the soil structure, which, in general, reduces crop yields. Modern digital land use on slope lands deter-mines the use of intelligent approaches and establishes a number of requirements that are necessary and link the technical characteristics of the applied mechatronic sys-tems and the parameters that characterize the agricultural landscape of slope lands. The research goal is to substan-tiate the intellectual method of spiral scanning of the under-lying surface in combination with the methods of digital modeling of slope lands and a number of technologies for accurate land use on slope lands that provide differentiated management impact. A field mechatronic profiler of an orig-inal design was developed for the implementation of intelli-gent technologies for accurate ground scanning of slope land surface. The principle of operation and the sequence of scanning operations using a field laptop and a wireless connection are described. An intelligent selection of the profiling scheme of the daily soil surface along Fermat’s spiral is implemented based on the data obtained along the circle. Preliminary studies of the daily surface of the soil, after its main treatment, allowed determining crumbly con-dition and ridgeness when scanning along the circumfer-ence as well as to establish a point cloud when scanning the entire studied surface along the Fermat’s spiral. At the same time, the soil moisture and the geoposition of the studied elementary site on an agricultural field were meas-ured. The developed intelligent mechatronic systems for accurate ground scanning of slope land surfacemake it possible to increase the accuracy and reliability of measur-ing surface parameters throughout the studied site, natural and climatic parameters of the environment in the field on slope lands by expanding the functionality of the device, taking into account the influence of a set of side physical phenomena and meteorological conditions.

Technologies for Digital Modeling of Spatial Information About the Area for Agricultural Production

One of the topical trends in the development of agriculture in the Russian Federation is digitalization and automation of methods for processing spatial information about various land resources. The main element of the implementation of this direction in practice can be considered a three-dimensional digital terrain model. This model allows solving many problems in the field of land management, in particular, such as analyzing the surface of the terrain in order to determine its suitability for agricultural production. Despite a number of existing problems in this area, an automated digital land management system will enable public authorities to implement an integrated and systematic approach to management, that is, to more efficiently use the land resources, influence the land market, as well as attract the investments and create the necessary conditions. for sustainable development of the territory.

МЕЛИОРАЦИЯ ЗЕМЕЛЬ И ВОЗМОЖНОСТЬ ЕЕ ЦИФРОВИЗАЦИИ

The purpose of the research is to summarize information about management in the field of land reclamation and the sequence of its implementation, the current state of the reclamation facility Tinki-II and the possibility of introducing digital technologies in land reclamation. There are considered issues of state management in the field of land reclamation, the sequence of measures to improve land, monitoring investigations and digitalization of the management of land reclamation. In Russia 80% of the arable land are under dry conditions, and about 20% – under excess moistening. There is given formation about the current state of the land reclamation in the country and regions. The issues of state management in the field of land reclamation, the sequence of measures to improve land, monitoring studies and digitalization of the management of land reclamation are considered. The introduction of digital technologies in land reclamation will make it possible to enter the results of monitoring into the general database of the information and communication platform «Digital Land Reclamation», reading information from sensors online, and to plan and carry out restoration measures in a timely manner.

The role of innovations in the development of agriculture in Russia

This article is intended to substantiate the role of innovations in the development of agriculture in Russia. The authors of the article focused on identifying the importance of innovative techniques and technologies in the modern development of the agricultural industry. The current directions of innovative developments in the agricultural sector in Russia have been identified and investigated. The conditions for achieving effective implementation of digital land use projects are presented; “Smart field”; “Smart garden; Smart farm. The experience and level of development of innovative techniques and technologies in foreign countries are considered. An up-to-date list of both Russian and foreign manufacturers of innovative developments, the buyers of which are domestic agricultural organizations, is presented. The factors that hinder the active implementation of innovations in the activities of agricultural entities in Russia have been identified. A diagram of the relationship between the components of the process of creating and applying innovative technologies has been developed. Also the author’s schematic position of the role and place of innovations in the process of creating and applying innovative technologies is presented. As a result of the research, there were given recommendations for eliminating the identified problems in the field of introducing innovative techniques and technologies in agricultural production.

Avenues for the Economic Assessment of Agricultural Lands in the Development of the Agricultural Industry

The authors consider the importance of digital technologies in the agro-industrial complex of Russia. The conclusion about the role of universities in this process has been made. Higher education institutions play a dual role. They train professional personnel having all required competencies and should be in line with all the latest innovative research projects that create a scientific and technical basis for the digital transformation of the national agriculture. The State University of Land Management has conducted research on digital land management, remote sensing tools used for the purposes of the real estate cadastre, land monitoring, and real estate assessment.

Localizing Digital Land Administration in Customary Tenure Regimes to Secure Individual Tenure: Intervention by RNBA in the Hills of Manipur

Localizing Digital Land Administration in Customary Tenure Regimes to Secure Individual Tenure: Intervention by RNBA in the Hills of Manipur

Communication and Communion: A Psychological and Theological Approach of Religious Subject in a Digital World

The digital land brings a new subject to debate about the most appropriate framework to guide religion expression in online settings to promote the Church tradition mission and to build a spiritual identity in a world of crisis. In the last months, there were many voices telling that Orthodox Church in Romania has a communication problem. In order to understand the process of communication of the Church in the digital era, we need to underlie this process in the psychology and sociology of communication theories. Therefore, our analysis is an attempt to better understand the challenges derived from the communication of religious subject in a context saturated by media influence over social iconology of the Church and over spiritual communion and identity. We discuss different perspectives on framing information, on the relation between the Church mission as public communicator and media agenda. Finally, we identify some positive aspects of re-thinking communication process in order to increase the Church capacity of building a powerful strategy for social messages and educating communities in the culture of Truth. Moreover, the success of moral communication means opening a dynamic pastoral program incorporating psycho-sociological aspects of communication. Keywords: religious subject, communication, communion, cognitive processing of messages, Orthodox Church

Dengue Risk Mapping from Geospatial Data Using GIS and Data Mining Techniques

Dengue fever is a major public health problem and has been an epidemic in Thailand for a long time. Therefore, there is a need to find a way to prevent the disease. This research aimed to explore the important factors of dengue fever, to study the factors affecting dengue hemorrhagic fever in Surat Thani Province, and to map the potential outbreak of dengue fever. Collecting patient information was done including, Rainfall, Digital Elevation Model (DEM), Land Use and Land Cover (LULC), Population Density, and Patients in Surat Thani Province, which was analyzed using data mining techniques involving analysis using 3 algorithms comprising Random Forest, J48, and Random Tree. The correct result is Random Forest since the accuracy of the data is 96.7 percent followed by J48 with accuracy of 95.9 percent. The final sequence is Random Tree with accuracy of 93.5 percent. Then, using the information can be displayed through ArcGIS program to see the risk points that are compared to the risk areas that have been previously done. The results can be very risky in Mueang District, Kanchanadit District, and Don Sak District, corresponding to the information obtained from the Public Health Office and the risk map created from the patient information.

Directions and methods of digital land management

The article deals with issues related to the digitalization of land management as a branch of the economy. The main directions and methods of digital land management developed in our country are outlined. Significant reduction of financial expenses and relatively rapid restoration of all land management functions is possible only through its automation, informational support and full digitalization. The modern solution of application tasks is in the employment of new technologies. The work performed in the field of digital land management is aimed at creating and implementing an intelligent system of planning, land management support and optimization of agricultural landscapes, land use and protection in agricultural production at different levels of generalization (field, farm, municipality, subject of the Russian Federation, country, foreign territories), operating on the basis of digital, remote, earth information technologies and computer modeling methods with online access by means of a web interface. Smart land management is designed to provide the basic spatial basis for implementing digital transformation in the following priority areas: smart field, smart farm, smart storage, smart greenhouse, smart garden, etc. This development in the form of creating and implementing a technological earth information platform for digital land management as the main mechanism for implementing the state’s agricultural policy, rational use and protection of land resources is key in relation to the sectors of the economy that have a spatial reference.

Land management international integration — new approaches and prospects

This article analyzes the main problems of implementing programs for integrating efforts of the CIS countries in the fi eld of land management. The role of modern land administration in realization of the tasks of effective land resources management at the international level in the era of “big challenges” is shown in this paper. The authors considered the possibilities of CIS educational institutions in solving issues of geoinformation support of agro-industrial complex. New approaches and digital land management technologies that provide a signifi cant (up to 30%) increase in land use effi ciency are proposed here as well. The article notes necessity of new staff preparation in the branch in the context of digitalization based on the integration of human resource and potential of CIS educational institutions.

Land-property and land-resource information obtained as a result of land management

The article deals with issues related to the creation of digital land management based on the use of modern information technologies. The creation of digital land management is carried out in close connection with the digitalization of agriculture and other sectors of the economy. The basis of information support for land management is the state data Fund, which is formed on the basis of land management documentation, materials and data (in written, graphic, electronic, photographic and other forms) obtained as a result of land management. In addition, information support for land management includes scientific and technical products and modern information systems that allow developers and consumers of land management documentation to provide up-to-date, complete and visual information about the results of land management works and technologies for their implementation. These issues are closely related to the regulation of the entire structure of the country’s land service, land legislation and, in General, the development of an optimal land policy, on which information support and full interaction of the entire land management industry depend.

Digital land management and land resource data generation

The article deals with issues related to the creation of digital land management, the information basis of which is data obtained by replacing traditional methods of obtaining information with new technologies, including: unmanned aerial vehicles, laser scanning, high-resolution satellite images. New technologies should create a higher level of information support for land management, due to a significant increase in information content and, in accordance with this, taking into account more factors that affect land management decisions. In this regard, the state data Fund formed on the basis of land management documentation should be improved and such modernization should be carried out simultaneously with the technological reequipment of land management, based on network cloud storage of information, big data and blockchain, using modern computer tools.

Post-earthquake monitoring of landslides along the Southern Kaikōura Transport Corridor, New Zealand

The magnitude (Mw) 7.8 earthquake that struck North Canterbury on New Zealand’s South Island on the evening of 14 November 2016 caused widespread damage to infrastructure, in particular to road and rail within the South Kaikōura Transport Corridor (SKTC). This is the main transport corridor along the east coast of the South Island, and the coseismic landslides covered and destroyed parts of the State Highway 1 (SH1) road, as well as the railway lines. Post-earthquake aftershocks and significant rainfall events (e.g. Cyclones Debbie, Cook and Gita), further mobilised the de-stabilised greywacke rock mass and paleo-landslide debris that mantled the slopes. Indeed, the SKTC was affected by > 80 separate landslides that have impacted either the rail corridor, the road corridor, or both. A number of different landslide mechanisms occurred, including shallow translation slides of existing paleo-landslide debris and rotational slumping, as well as rock mass failure via wedge, planar or toppling. Here, we report on monitoring of three case study landslides, using multi-temporal analyses of digital elevation data (from LiDAR, TLS and UAV surveys), real-time extensometer and land deformation monitoring using GPS receivers, as well as survey prisms. These datasets provided important monitoring of near-surface movement, important for risk management along the transport corridor during the reinstatement works.

Mapping and Assessing Soil Sealing in Padua Municipality through Biotope Area Factor Index

Soil sealing is a worldwide phenomenon of covering of natural or seminatural soil with impervious surfaces, such as built-up or paved surfaces. It is widely recognized as a major environmental issue which drives landscape fragmentation and ecosystem services degradation and loss. Italy is one of European countries with the highest extent of soil sealing. The most affected area is northern Italy, especially the Po Valley with more than 12% of sealed surfaces. According to official data, Veneto Region and the city of Padua are seriously affected by this phenomenon. The Biotope Area Factor is a consolidated ecological urban index for mapping soil sealing, adopted in different European cities to support urban planning; it expresses the ratio of the ecologically effective surface area in relation to the total land area according to land cover classes. The general aim of this study is to map and to assess soil sealing in the whole municipal territory of Padua using the Biotope Area Factor (BAF) index. We tested and adopted a digital land cover map together with aerial images to perform a BAF analysis on the whole municipal territory of Padua. By using sample areas previously analyzed, we validated our source data by a double spatial validation process; therefore, soil sealing analysis was scaled-up to the municipality territory. Results show that in the city of Padua, the average BAF index value is 0.6; totally permeable surfaces (BAF = 1) cover 59.5%, whereas totally “sealed” surfaces (BAF = 0) are 40.3% of the municipal territory (93 km2). Most of the sealed soil is located in the east sector and in the historical core of the city, with BAF values ranging from 0 to 0.2. A particularly critical area is identified within the new industrial area of the city, which is strongly affected by soil sealing. BAF maps are useful tools to identify critical areas by geovisualizing surface permeability at a very detailed scale and by enabling further analyses for hydrogeological risk assessment and urban climate regulation. Moreover, the use of BAF maps at urban scale today represent an important tool for urban management, especially for policy makers who are planning mitigation and compensation measures to control soil sealing.

Measuring urban sprawl using land use data

Digital land use data, generally derived by remote sensing operations, have become widely available for even the most remote areas of the globe. Here we investigate how to use land use data to measure three of the most characteristic aspects of urban sprawl: low density, low continuity of land use type (scatteredness), and low compactness of the shape of the city. For each of these categories we present multiple urban sprawl indicators. Some of these indicators have been used in the literature before, others we developed ourselves. For density measurements we illustrate how simple changes to common density indicators can improve their meaningfulness. With respect to scatteredness we show that the interpretation of entropy measures can be ambiguous. A variant on Moran’s I index does a better job at measuring scatteredness than entropy metrics. A problem that has not yet been discussed in the literature is that the grid structure of land use data can inflate the boundary of the measured area. This is particularly a problem when measuring urban compactness. We introduce new compactness indices that correct for this problem. To illustrate the discussed indices, we apply them to Graz, the second largest city in Austria, using data from the CORINE Land Cover (CLC) Project (European Environment Agency, 2010).