QuikSCAT backscatter is generally higher over urban areas than surrounding vegetated areas. Azimuthal anisotropy has been observed over some urban areas, but the strength of the azimuthal anisotropy in the urban backscatter signal has not been well quantified. This study investigates radar azimuthal anisotropy in urban areas. QuikSCAT L1B σ observations are compared for urban, non-urban, and un...

OBJECTIVES In urban settings, pedestrian fatalities and injuries are concentrated on major roads. This study aims to describe urban intersections with major roads (arterials and collector roads) and explore the association between intersection characteristics and injured pedestrians. METHODS From a stratified random sampling in Montréal, Quebec, 512 intersections were selected and their chara...

Roads provide humans with a means of mobility between destinations, be it for transportation of goods and services or as a means of connecting with others. However, roads are also known to contribute toward a number of deleterious landscape processes, such as habitat destruction and fragmentation, pollution (e.g., chemical, noise and light) and animal mortality. Few studies however have investi...

Simulating the evolution of cities suggests the ability to understand and model the laws governing urban dynamics. The approach presented in this paper uses a multi-agent system to model the self-organising properties of urban systems and aims at providing a tool to study the evolutions of the modelled system. The proposed multi-agent system is a hierarchy of topographic agents (e.g. buildings,...

Attaining geospatial information is a challenge for many scientific practitioners. Such information is a necessary tool for spatial decision making. Remote Sensing (RS) is the leading art/science providing the data for many global or local applications such as: green house effect, pollution, military, urban and land use. Graphical elements of geospatial information can be divided into: points, ...

In this paper, the problem of the detection of road networks in high resolution Synthetic Aperture Radar (SAR) images is addressed. Our method, which is an improvement of previous work based on line extraction and connection with Markov random field, is dedicated to dense urban areas. The major modifications are, first, the introduction of a classification in order to improve both the level of ...