The 1986 CORINE land cover database of the Netherlands was revised and updated on basis of Landsat satellite images and ancillary data. Interpretation of satellite images from 1986 and 2000 resulted in the CLC2000, CLC1986rev and CLCchange databases. A standard European legend and production methodology was applied. Thirty land cover classes were discerned. Most extended land cover types were pastures (231), arable land (211) and complex cultivation patterns (242). Between 1986 and 2000 around 4.76% of land changed its land cover.

The Role Of Wetlands In Poverty Reduction- Extreme poverty among rural poor people living around wetlands remains a daily reality for more than 56% of Kenya’s population, who subsist on less than one dollar a day. Seventy percent of extremely poor households, a majority of who live in rural areas where hunger and poverty prevails, are now being caught up in a new web of lack of access to wetlands as safety-net during hard times due to appropriation of wetlands by private developers.

As Vietnam embraces the market economy, and a number of state policies promote reforestation and rural market integration, land use and land cover (LULC) changes are occurring in the country’s northern uplands in increasingly complex and fragmented ways. Yet understandings of the degree and consequences of LULC changes in this diverse agro-ecological region are incomplete. We conduct a systematic literature review of research reported in academic articles tracing and analysing LULC change in Vietnam’s northern regions.

Drastic growth of urban populations has caused expansion of peri-urban areas—the transitional zone between a city and its hinterland. Although urbanisation may bring economic opportunities and improve infrastructure in an area, uncontrolled urban expansion towards peri-urban areas will negatively impact the environment and the community living within the area. Malaysia, for example, has become one of the most urbanised countries in East Asia. However, cities in Malaysia are relatively small and less densely populated compared with other cities in East Asia.

Mountainous regions are more sensitive to climatic condition changes and are susceptible to recent increases in temperature. Due to urbanization and land use/land cover (LULC) issues, Cameron Highlands has been impacted by rising land surface temperature (LST) variation. Thus, this study was carried out to explore the impact of the LULC change on LST in the Cameron Highlands from 2009 to 2019 using remote sensing images acquired from Landsat 7 ETM+, Landsat 8 Operational Land Imager (OLI/TIRS), and Moderate Resolution Imaging Spectroradiometer (MODIS) 11A Thermal sensors.

The study examines long-term land use/land cover change (LUCC) at a finer scale in a semi-arid region of India. The objectives were to study and quantify the spatiotemporal LUCC and uncover the major drivers causing the change in the Mula Pravara river basin, which is located in a semi-arid region of Maharashtra state, India.

We recognize the economic and social significance of good land management, including soil, We stress that desertification, land degradation and drought are challenges of a global dimension and continue to pose serious challenges to the sustainable development of all countries, We recognize the need for urgent action to reverse land degradation. In view of this, we will strive to achieve a land-degradation neutral world in the context of sustainable development. Measuring Land degradation is a challenge ①Declining land-productivity ≠ Land degradation e.g.

Land use and land cover change (LULCC) affects the climate through both biogeochemical (BGC) and biophysical (BPH) mechanisms. While BGC effects are assessed at global scale and are at the heart of climate treaties such as the Paris Agreement, BPH effects are totally absent despite their increasingly recognized impact, especially at local scale. This stems from the complexity in characterizing their climate impacts both at local and global scale, which makes it impractical to offer clear advices for the development of climate policies.

Land as an essential resource is becoming increasingly scarce due to population growth. In the case of the Kenyan coast, population pressure causes land cover changes in the Arabuko Sokoke Forest, which is an important habitat for endangered species. Forest and bushland have been changed to agricultural land in order to provide livelihood for the rural population who are highly dependent on small-scale farming. Unclear land rights and misbalanced access to land cause uncontrolled expansion and insecure livelihoods.

This study examined the trends, driving factors, and implications of land use/land cover (LULC) dynamics over the past 35 years (1982–2017) in three watersheds of the drought-prone areas that represent different agro-ecologies of Upper Blue Nile basin, Ethiopia: Guder (highland), Aba Gerima (midland), and Debatie (lowland). The changes in LULC were analyzed by integrating field observations, remote-sensing data (aerial photographs [1: 50,000 scale] and very high resolution [0.5–3.2 m] satellite images), and geographic information systems.

Armed conflicts create drastic socioeconomic shocks that lead to land use and land cover changes in ways that are not yet well understood. Several studies have used satellite imagery to detect such changes during periods of conflict. However, there has been an insufficient examination of older conflicts before the 1970s. By examining older conflicts, we can examine the effects of conflict on land use and land cover over a long time span.

Land use models play an important role in exploring future land change dynamics and are instrumental to support the integration of knowledge in land system science. However, only modest progress has been made in achieving these aims due to insufficient model evaluation and limited representation of the underlying socio-ecological processes. We discuss how land use models can better represent multi-scalar dynamics, human agency and demand-supply relations, and how we can achieve learning from model evaluation.