Land (ISSN 2073-445X) is an international, scholarly, open access journal of land use and land management published quarterly online by MDPI.
Land Journal Resources
Land-use planning (LUP), an instrument of land governance, is often employed to protect land and humans against natural and human-induced hazards, strengthen the resilience of land systems, and secure their sustainability.
Urbanization is a rapid global trend, leading to consequences such as urban heat islands and local flooding. Imminent climate change is predicted to intensify these consequences, forcing cities to rethink common infrastructure practices.
Mainland Southeast Asia (MSA) has seen sweeping upland land use changes in the past decades, with transition from primarily subsistence shifting cultivation to annual commodity cropping. This transition holds implications for local upland communities and ecosystems. Due to its particular political regime, Myanmar is at the tail of this development.
In this study, methods, originally developed to assess life course trajectories, are explored in order to evaluate land change through the analysis of sequences of land use/cover. Annual land cover maps which describe land use/land cover change for the 1985–2017 period for a large region in Northeast Brazil were analyzed.
Humanitarian and development organizations working in conflict-affected settings have a particular responsibility to do no harm and contribute to the wellbeing of the population without bias.
The key question in this article is the extent to which current real property expropriation practices in Kigali city promote spatial justice. Current studies focus on the ambiguous manner in which real property valuation had been regulated by the expropriation law of 2007, leading to unfair compensation and various conflicts between expropriating agencies and expropriated people.
In economics, land has been traditionally assumed to be a fixed production factor, both in terms of quantity supplied and mobility, as opposed to capital and labor, which are usually considered to be mobile factors, at least to some extent.
Statutory recognition of rural communities as collective owners of their lands is substantial,
Climate data availability plays a key role in development processes of policies, services, and planning in the agricultural sector. However, data at the spatial or temporal resolution required is often lacking, or certain values are missing. In this work, we propose to use a Bayesian network approach to generate data for missing variables.