The fragmentation of construction land due to decentralised urban development, disorderly mixed land use, and large-scale transportation infrastructure poses a threat to urban integrity. There is a need to quantify the fragmentation level in a consistent way for inclusion in planning-related decisions. In the context of China's urban sprawl, this study develops a quantitative and intuitive index approach that planners can use to analyse multiple fragmentation features of construction land within urban areas.

Urban regions are important places of ecosystem service demands and, at the same time, are the primary source of global environmental impacts. Although there is broad agreement on the importance of incorporating the concept of ecosystem services into policy strategies and decision-making, the lack of a standardized approach to quantifying ecosystem services at the landscape scale has hindered progress in this direction. Moreover, tradeoffs between ecosystem services and the supply/demand ratio of ecosystem services in urban landscapes have rarely been investigated.

Urban sprawl and a policy of converting farmland to woodland and grassland in the fragile ecological environments of the Loess Plateau of China can cause complex land use changes that significantly affect ecosystem services and functions. This study investigated changes in ecosystem services in response to land use changes caused primarily by human activities in Taiyuan City, the capital of Shanxi Province. Our aim was to provide guidance for sustainable urban development in fragile ecological environments undergoing rapid urbanization.

Due to the progressive increase in population, sustainable development of desert land in Egypt has become a strategic priority in order to meet the increasing demands of a growing population for food and housing. Such obligations require efficient compilation of accurate land-cover information in addition to detailed analysis of archival land-use changes over an extended time span. In this study, we applied a methodology for mapping land cover and monitoring change in patterns related to agricultural development and urban expansion in the desert of the Kom Ombo area.

This study is carried out to determine land use changes by Geographic Information Systems and Remote sensing methods in Yenimahalle district of Ankara province. Changes in land use were identified between 2000-2005 and 2000-2010. For the study Landsat-5 image of year 2000, Ikonos image of year 2005, and SPOT image of year 2010 were used. 1:25000 scale topo maps and soil maps, and CORINE land use data were also used. GPS data collected from field were used for ground truth studies.

Outward expansion of urban lands in the developing nations is often associated with a substantial loss of environmental resources such as forests, wetlands, freshwater and cash crop fields. Yet, determining how different aspects of urbanisation – such as city population size and spread pattern of built-up lands – contribute to the cumulative loss of resources remains controversial. In this study, data sets were constructed describing changes to land cover across 65,200 grid cells at 1 km² spatial resolution for China's Changjiang Delta Region over the past 60 years.

Cities have been expanding rapidly worldwide, especially over the past few decades. Mapping the dynamic expansion of impervious surface in both space and time is essential for an improved understanding of the urbanization process, land-cover and land-use change, and their impacts on the environment. Landsat and other medium-resolution satellites provide the necessary spatial details and temporal frequency for mapping impervious surface expansion over the past four decades.

Contemporary land-use change and impacts on natural systems are of concern throughout the Cornbelt region, where agricultural activities have extensively altered the landscape. Land-use changes driven by urbanization throughout this region could have a disproportionate impact on remaining natural areas, particularly forests. We used readily available data sets and software to assess land cover change for four municipalities in Iowa and to examine the usefulness of this approach for urban foresters and planners interested in understanding/predicting impacts of land cover change.

Quantifying the urban landscape pattern and its change is fundamental for monitoring and assessing the ecological and socio-economic consequences of urbanization. Using Indian Remote Sensing Panchromatic (IRS-PAN) imagery of 2002 and combining gradient analysis with landscape metrics, we compared the landscape patterns between metropolises and small-sized cities with increasing grain size. Landscape metrics were computed along a 51 × 9 km transect cutting across Shanghai and a 16 × 2 km transect cutting across Zhangjiagang with a moving window.

In this study, the impact of the rapid rate of urbanization over the Pearl River Delta (PRD) region of China since the 1980s on its seasonal climate is investigated using the Weather Research and Forecasting Model. Two land-cover data are employed to simulate the urbanization effects on the regional climate in both summer (June and August) and winter (December and February) for 26 years from 1984 to 2009. Spatial and temporal features of the urbanization effect on temperature and precipitation are found to be different between summer and winter.

In urban areas, the competition between land development and ecological conservation is intense. To mitigate the negative effects of urbanization, we developed a methodology to plan a spatially explicit conservation network based on widely available remotely sensed data and other auxiliary data. First, as an area of strategic significance for the conservation of regional flora and fauna and for maintaining high environmental quality to promote human well-being, the remaining natural and semi-natural areas were identified as ecologically primary areas.

Urbanization in China accompanies economic development and population growth. Changes in land use leads to changes in both meteorological and chemical fields. In this study, the impact of land use change in Jing-Jin-Ji (JJJ, indicating Beijing–Tianjin–Hebei) and Yangtze River Delta (YRD) areas on meteorology and ozone concentrations are studied using the WRF–Chem model. Land use change is represented by two different land cover data sets: USGS and MODIS.