Wind erosion is a critical environmental problem that threatens mainly the arid and semi-arid regions of our planet. Usually this problem is associated with desertification, poverty and other environmental and socioeconomic problems. Wind erosion causes the loss of fertile topsoil, and has a negative effect on agricultural production and on human health. When conditions favorable for wind erosion are present, the process can cause large scale environmental disasters like the Dust Bowl in the USA in the 1930s.

in these ecosystems can easily result in widespread and severe land degradation and thus desertification.
Combined with global issues such as climate change, economic disparities, migration, and competing claims
on land, this often leads to a vicious cycle of aridity, land degradation, and productivity loss. In addition to
the harsh environmental conditions limiting land productivity, the socio-economic situation in drylands can
pose challenges as well, given that these regions are often characterised by remoteness, marginality, lowproductivity

Desire for Greener Land compiles options for Sustainable Land Management (SLM) in drylands. It is a result of the integrated research project DESIRE (Desertification Mitigation and Remediation of Land - A Global Approach for Local Solutions). Lasting five years (2007–2012) and funded within the EU’s Sixth Framework Programme, DESIRE brought together the expertise of 26 international research institutes and non-governmental organisations.

Land degradation is a global issue on a par with climate change and loss of biodiversity, but its extent and severity are only roughly known and there is little detail on the immediate processes – let alone the drivers. Earth-observation methods enable monitoring of land resources in a consistent, physical way and on global scale by making use of vegetation activity and/or cover as proxies. A well-known spectral proxy is the normalized difference vegetation index (NDVI), which is available in high temporal resolution time series since the early 1980s.

Water erosion is the most important degradation process of the 10 degradation processes distinguished by the European Union. The impact of rain drops on the soil surface causes splash of soil particles

Time series of vegetation indices (VI) derived from satellite imagery provide a consistent monitoring system for terrestrial plant productivity. They enable detection and quantification of gradual changes within the time frame covered, which are of crucial importance in global change studies, for example. However, VI time series typically contain a strong seasonal signal which complicates change detection. Commonly, trends are quantified using linear regression methods, while the effect of serial autocorrelation is remediated by temporal aggregation over bins having a fixed width.

The project goal is to promote responsible, productive, and sustainable management of forest resources by local communities to meet their needs and to stimulate development. This is expected achieved by building the knowledge and capacity of FA and CF User Groups in sustainable forest management and on responsible utilization of forest resources and nation-wide networks of stakeholders.

Land is one of the basic elements of the environment and multi-functional versatile resource, which is particularly threatened by natural processes, and actions of human activities. Although it is difficult to assess the extent of land degradation problems, there is no doubt that people around the world feel the consequences of its effects. Loss of productive land has a direct impact on agriculture in rural communities, primarily in the form of reduced yields and revenues are based on this exercise.

Objective of study were to simulate size area of land use change in Phitsanulok province from 2552 to 2560 B.E., and decided agriculture area and forest area, and to be use as a guideline map for formulating the land use and forest conservation, In Phitsanulok province. Geographic Information System couples with CLUE-S model by Logistic Regression and Markov chain model were used to predict of future land use in Phitsanulok province.

This review characterizes the major themes of articles on reducing emissions from deforestation and forest degradation (REDD) published between January 2007 and December 2010 in various peer-reviewed journals, as well as selected reports in the 'grey literature'.