Urban growth has transformed many mid-sized cities into metropolitan areas. One of the effects of this growth is a change in urban growth patterns, which are directly linked with household income. Hence, this paper aims to assess the effect of different economic variables that trigger urban built-up patterns, using economic indicators such as city administrative taxes, a socio-economic survey of living standards, household income and satellite data. The regression model was used and adapted, and a case study is presented for the mid-sized city of Uyo in southeastern Nigeria.

The development and use of underground space is a necessity for most cities in response to rapid urbanisation. Effective underground land administration is critical for sustainable urban development. From a land administration perspective, the ownership extent of underground assets is essential for planning and managing underground areas. In some jurisdictions, physical structures (e.g., walls, ceilings, and utilities) are also necessary to delineate the ownership extent of underground assets.

Natural resource management has entered a new stage in 2018 in the People’s Republic of China (China) marked by the establishment of the Ministry of Natural Resources of China (MNRPRC). More functions and responsibilities are integrated in the MNRPRC to build a uniform management system for full natural resource features in China with the aim of implementing uniform spatial planning and regulation, management, use and control, surveying, and registration for full natural resources.

Land administration systems differ by their types and practices. The data dissemination practices are considered to be outdated, as in most cases the digitisation of land administration data was conducted to match the paper-based system. This paper reviews four different land administration data dissemination practices through four case studies, where each selected jurisdiction represents one land administration system type. The analysed LAS data dissemination practices were conducted for Croatia, England, New Zealand and Green County, OH, USA.

Coastal areas have been growing massively worldwide. The fast growth also affects the land value in either a positive or a negative way. Many scholars have studied land value and the factors that affect it in areas prone to sudden-onset disasters. In contrast, studies on urbanized coastal areas that suffer from slow-onset disasters are still lacking. Using a case study from Semarang City in Indonesia, this research aims at ameliorating this limitation.

The protection of cultivated land plays an important role in ensuring food security, maintaining social stability, and promoting economic development. The protection of cultivated land involves a range of stakeholders (e.g., governments at different levels, farmers, and land-use organizations) and entails intertwined risk factors (e.g., to economic, environmental, social, and political factors). Therefore, it is crucial to identify and assess key stakeholders and associated risks to better align land protection policies.

Analyzing the interaction between land use patterns (LUPs) and socioeconomic factors (SEFs) could provide a basis for regional land spatial planning and management decisions in the future. In this study, population, gross domestic product (GDP) and land use intensity were selected to explain the relationship between SEFs and LUPs. The study designed a new method of sample line acquisition for wavelet analysis, and identified the interaction grid scales of LUP changes with SEFs in 1991, 2005 and 2019 by using cross wavelet transform analysis (XWT).

It is generally accepted that the perception of homeowners towards certain potential risks or amenities fades as distance from the risk or amenity increases. This study aims to illustrate the distance–decay pattern with an appropriate mathematical function. Distance–decay functions and parameters that yield the minimum residual sum of squares (RSS) for a given regression model are considered to be the optimal approximation for the pattern of decay.

Intensive land use can support sustainable socioeconomic development, especially in the context of limited land resources and high population. It is measured by land-use intensity that reflects the degree of land-use efficiency. In order to support decision-making for efficient land use, we investigated the mechanism whereby natural and socioeconomic factors influence land-use intensity from the perspectives of overall, region-, and city-based analysis, respectively.

Water reclamation contributes to a guaranteed increase in the yield of agricultural lands and can also negatively affect the quality of the land. Technical malfunction of reclamation systems, outdated reclamation technologies, poor water quality, and untimely drainage may result in such negative processes as resalting and bogging. In Russia, state monitoring of reclaimed lands is carried out annually and obtained data are used to identify soil degradation and pollution to fix the problems at the appropriate times.

Globally, forests provide several functions and services to support humans’ well-being and the mitigation of greenhouse gases (GHGs). The services that forests provide enable the forest-dependent people and communities to meet their livelihood needs and well-being. Nevertheless, the world’s forests face a twin environmental problem of deforestation and forest degradation (D&FD), resulting in ubiquitous depletion of forest biodiversity and ecosystem services and eventual loss of forest cover.

Water erosion is a phenomenon that significantly damages agricultural land. The current land fragmentation in Slovakia and the complete ambiguity of who owns it leads to a lack of responsibility to care for the land in its current condition, which could affect its sustainability in the future. The reason so much soil has eroded is obvious when looking at current land management, with large fields, a lack of windbreaks between them, and no barriers to prevent soil runoff. Land consolidation might be the solution.