Land use change may influence many natural phenomena and ecological processes, including runoff, soil erosion, sedimentation and soil conditions. Decreasing of forest area in the North of Iran is one of the critical problems in recent years. The aims of this study are to detect land use changes between 1967 to 2002 using satellite images of Land Sat 7 ETM (2002), aerial photos and digital topog...

numbers of persian leopards have considerably decreased in recent years and for this reason it has been categorized as endangered in the iucn classification. habitat destruction is believed to be the main cause of the species population decline. hence, attempts to preserve the remaining habitats of this kind of animal effectively are deemed essential in reversing its downgrading trend. to hit t...

In this paper, we propose a fusion strategy for extracted roads from multi-aspect SAR images. The fusion strategy extends a system for automatic road extraction from SAR images based on line extraction and explicitly modeled knowledge, which has been developed for single SAR images. Due to the side-looking geometry of SAR, the visibility of roads is often limited by adjacent high trees or build...

There is a consensus on the importance of rural roads when increasing economic growth and household welfare. However, little is known regarding the positive effect these roads will have on the welfare of households in Viet Nam. This paper aims to measure that effect. It is known that rural roads help households increase per capita income and working hours. The estimated impact of these roads on...

Research for advanced traveler information systems (ATIS) has been focused on urban roads. However, research for short-term traffic prediction on all categories of highways is needed, as highway agencies expect to implement intelligent transportation systems across their jurisdictions. In this study, genetic algorithms were used to design time delay neural network (TDNN) models as well as local...

The mixed pixels in remotely sensed data are one of the main error sources resulting in poor classification accuracy using traditional classification methods. In order to improve classification accuracy, linear spectral mixture analysis (LSMA) has been used to handle the mixed pixel problems. This paper aims to achieve an appropriate processing routine of LSMA through the comparison of classifi...