Classification is one of the major issue in image analysis and processing for remote sensing applications. Though classification based on texture analysis —landuse, forests, cities, etc— is the purpose of numerous works, classification of curvilinear networks is hardly processed. However, it is of major interest, in particular for image indexing and images matching, because it is a main feature...

the effect of forest roads on the extent and type of fire damage occurred in forests and rangelands of the neka county in mazandaran province was investigated. for this purpose, all fire spots, stand number, percentage and type of injury and damage to tree species, and average diameter at breast height (dbh) were noted with 100% inventory; area and geographic location of access roads were deter...

In this paper we propose an approach for automatic road extraction from high resolution multispectral imagery, such as IKONOS or Quickbird, in rural areas. While aerial imagery usually consists of 3 spectral bands, high resolution satellite data comprises 4 spectral bands with a better radiometric quality compared to film, but a worse geometric resolution. Therefore, strongly making use of the ...

LIDAR is a powerful remote sensing technology for acquisition of 3D information from terrain surface. Algorithms used for LIDAR data in urban area are used mostly to deal with the 3D points cloud and to identify objects, such as buildings, trees and roads. In contrast to the well studied problem of building and tree detection from LIDAR data, the detection of roads from LIDAR is in its formativ...

Anthropogenic infrastructure such as roads and non-native species are major causes of species endangerment. Understanding animal behavioral responses to roads and traffic provides insight into causes and mechanisms of effects of linear development on wildlife and aids effective mitigation and conservation. We investigated effects of roads and traffic on space use and movements of two forest-dwe...

A key goal in road ecology is to determine which species are most vulnerable to the negative effects of roads on population persistence. Theory suggests that species that avoid roads are less likely to be negatively affected by roads than those that do not avoid roads. The goal of this study was to take a step toward testing this prediction by evaluating the behavioral response to roads and tra...