Land Library
Welcome to the Land Portal Library. Explore our vast collection of open-access resources (over 74,000) including reports, journal articles, research papers, peer-reviewed publications, legal documents, videos and much more.
/ library resources
Showing items 1 through 9 of 68.In the context of rapid urbanization, poorer residents in cities across low- and middle-income countries increasingly experience food and nutrition deficiencies.
Gross primary productivity (GPP) is the most basic variable in a carbon cycle study that determines the carbon that enters the ecosystem. The remote sensing-based light use efficiency (LUE) model is one of the primary tools that is currently used to estimate the GPP at the regional scale.
Bare soil is a critical element in the urban landscape and plays an essential role in urban environments. Yet, the separation of bare soil and other land cover types using remote sensing techniques remains a significant challenge.
Nature-based solutions (NbS) include all the landscape’s ecological components that have a function in the natural or urban ecosystem.
Net Primary Productivity (NPP) can effectively reflect the characteristics and strength of the response to external disturbances on estuarine alluvial island ecosystems, which can provide evidence for regulating human development and utilization activities and improving blue carbon capacity.
The aim of this article is to analyze the spatial clustering of pottery finds based on their occurrence at different depths in the Pobedim hillfort archaeological site (Western Slovakia), without reference to stratigraphic data.
Highly dynamic peri-urban areas, particularly in the Global South, face many challenges including a lack of infrastructure, ownership conflicts, land degradation, and sustainable food production.
This study aims at identifying underutilized land potentially suitable for bioenergy production in Europe by means of remote sensing time series analysis.
Satellite remote sensing technologies have a high potential in applications for evaluating land conditions and can facilitate optimized planning for agricultural sectors. However, misinformed land selection decisions limit crop yields and increase production-related costs to farmers.