Impervious surfaces are important environmental indicators and are related to many environmental issues, such as water quality, stream health and the urban heat island effect. Therefore, detailed impervious surface information is crucial for urban planning and environment management. To extract impervious surfaces from remote sensing imagery, many algorithms and techniques have been developed. However, there are still debates over the strengths and limitations of linear versus nonlinear algorithms in handling mixed pixels in the urban landscapes.

In this study, three-phase satellite images were used to define rules for the allocation of time and space in construction land resources based on a complex adaptive system and game theory. The decision behavior and rules of government agent, enterprise agent and resident agent in construction land growth were explored. A distinctive and dynamic simulation model of construction land growth was built, which integrated multi-agent, GIS technology and RS data and described the interaction among influencing agents.

The change in the land use pattern due to rapid urbanization adversely affects the hydrological processes in a catchment, leading to a deteriorating water environment. The increase in impervious areas disrupts the natural water balance. Reduced infiltration increases runoff and leads to higher flood peaks and volumes even for short duration low intensity rainfall. Due to their destructive effects, floods can significantly increase the expenses on mitigation efforts. The present study focuses on the Thirusoolam sub watershed, an urban watershed in Chennai.

The status of urban forests and other green open spaces has always been ambiguous within the context of rural-urban peripheries. On one hand, most European countries have introduced protected green zones around cities to contain their sprawl and to provide urban dwellers recreational space and sanitation services since the early days of city planning policies. On the other hand, the ecosystems of green open areas remain under high pressure due to high demand for suburban land, causing issues ranging from illegal dumping to ecosystem fragmentation and forest loss.

BACKGROUND: Dramatic disparities in a range of health outcomes persist in Alameda County, California. Age-standardised mortality rates range from 300 to 1300 deaths per 100 000 across census tracts in this county, with life expectancies lagging by 10 years in the most disadvantaged census tracts. Finding factors at the community level that affect neighbourhood health levels is a key step towards addressing these inequalities. Walking to work may be one of these factors, and is something that local policy makers could effectively act upon through city planning and maintenance initiatives.

Given the potential impacts of land cover changes on surface processes, accurate mapping of landscape dynamics is a crucial task in environmental monitoring. The use of commercial software for remote sensing of landscape changes requires appropriate expertise in sensor technology and computing resources that are not always available to decision makers. This paper presents the development of an experimental prototype of a lightweight and user-friendly GIS tool – ES4LUCC – a semiautomatic software for change detection and classification of land use/cover.

Smart growth is an approach to urban planning that provides a framework for making community development decisions. Despite its growing use, it is not known whether smart growth can impact physical activity. This review utilizes existing built environment research on factors that have been used in smart growth planning to determine whether they are associated with physical activity or body mass.

In megacities water quantity and quality are threatened by complex and interrelated processes caused by population growth, land use change, unsustainable agricultural practices, deforestation, erosion, destruction of ecosystems, lack of planning, laissez-faire policies, unsustainable water management, political conflicts, and increasingly also by the impacts of climate change.

Thermal infrared (TIR) remote-sensing techniques have been used to estimate land surface temperatures (LSTs) and to study the relationship between land uses and LSTs. Remotely sensed thermal data provide a time-synchronized dense grid of temperature data, and there has been a growing interest on LSTs in various fields, such as urban climatology and global environmental change. It is also important for urban planning and management practices to maintain thermally efficient urban structures. This article focuses on differences between the estimated LSTs and the measured temperatures.

Ecosystem services are a powerful tool for land-use and environmental planning, which can help decision makers better understand the tradeoffs between different development scenarios. However, there is limited guidance about how ecosystem services should be used in the land-use and environmental planning context.

Heat island is the main product of urban climate, and one of the important problems of twenty-first century. Cities in tropical countries suffer extensively due to the urban heat island effect, and urban climate studies are necessary to improve the comfort level and city planning. Chennai is the tropical city; it is the fourth largest metropolis in India and one of the fastest growing economic and industrial growth centers in South Asia.

Countries around the world have responded to the problems associated with rapid urban growth and increasingly land-consumptive development patterns by creating a wide range of policy instruments designed to manage urban growth. Of the array of growth management techniques, urban containment policies are considered by some to be a promising approach. This paper focuses on greenbelts, the most restrictive form of urban containment policy. The long-standing greenbelt of Seoul, Republic of Korea is examined as a case study.