Landsat TM and ETM+ images were used to examine urban growth for the Greater Cairo area, Egypt, between 1986 and 1999, assisted by fieldwork and high spatial resolution images such as IRS, CORONA, and IKONOS. During the study period, urban land (collectively classified as built-up surface) increased significantly. Most of the increases in urban land came from the conversion of desert land and f...

Lack of longitudinal research hinders causal inference on the association between the built environment and walking. In the present study, we used data from 6,027 adults in the Multi-Ethnic Study of Atherosclerosis who were 45-84 years of age at baseline to investigate the association of neighborhood built environment with trends in the amount of walking between 2000 and 2012. Walking for trans...

This research investigates the extent of land cover change, particularly urban sprawl, in the Greater Toronto Area (GTA) and the nature of the resulting landscape fragmentation, particularly with regard to the Oak Ridges Moraine (ORM), an ecologically important and sensitive area for the region. Three scenes of Landsat TM imagery were acquired from July/August 1985, July/August 1995 and July 20...

A GIS approach and HJ-1B images were employed to determine the effect of landscape structure on aerosol optical depth (AOD) patterns. Landscape metrics, fractal analysis and contribution analysis were proposed to quantitatively illustrate the impact of land use on AOD patterns. The high correlation between the mean AOD and landscape metrics indicates that both the landscape composition and spat...

Built-up areas (BAs) information acquisition is essential to urban planning and sustainable development in the Greater Bay Area China. In this paper, a pseudo-Siamese dense convolutional network, namely PSDNet, proposed automatically extract BAs from spaceborne synthetic aperture radar (SAR) data Area, which considers spatial statistical features speckle SAR images. The local indicators of asso...