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Land use and land cover change (LULCC) are dynamic over time and space due to human and biophysical factors. Accurate and up-to-date LULCC information is a mandatory part of environmental change analysis and natural resource management.
Following the massive expansion of rubber plantations in China, considerable research has been conducted on the impact of these landscape changes. The general consensus is that there have been negative impacts on the environment and positive impacts on local economies.
Recently, droughts have become widespread in the Northern Hemisphere, including in Mongolia. The ground surface condition, particularly vegetation coverage, affects the occurrence of dust storms.
Common approaches to mapping green infrastructure in urbanised landscapes invariably focus on measures of land use or land cover and associated functional or physical traits.
Accounting for one quarter of China’s land area, the endorheic Shiyang River basin is a vast semi-arid to arid region in China’s northwest. Exploring the impact of changes in land use on this arid area’s carbon budget under global warming is a key component to global climate change research.
Landscape character assessment (LCA) has a significant contribution to make as a spatial framework for the emerging concept of ‘multi-functional landscapes’, a landscape providing a range of functions, services, and human-derived benefits.
Land use/land cover maps derived from remotely sensed imagery are often insufficient in quality for some quantitative application purposes due to a variety of reasons such as spectral confusion.
Quantitative reconstructions of past land use facilitate comparisons between livelihoods in space and time. However, comparison between different types of land use strategies is challenging as land use has a multitude of expressions and intensities.
In arid regions, oases ecosystems are fragile and sensitive to climate change, and water is the major limiting factor for environmental and socio-economic developments.
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