With the increasing temporal resolution of medium spatial resolution data, seasonal features are becoming more readily available for land cover characterization. However, in the tropical regions, images can be severely contaminated by clouds during the rainy season and fires during the dry season, with possible effects to seasonal features. In this study, we evaluated the performance of seasona...

recognition of habitats and conditions of species presences in differentsituations can be effective in proper utilization of vegetation. little is known about thevegetation composition of boralan mountain region located in north west of iran in theborder of turkey and azerbaijan with the altitude range of 800-2000m. the aim of thisstudy therefore was to investigate the floristic composition qua...

Question: How do interactions between rocky landscape features and fire regime influence vegetation dynamics? Location: Continental Eastern USA. Methods: We measured vegetation, disturbance and site characteristics in 40 pairs of rocky and non-rocky plots: 20 in recently burned stands, and 20 in stands with no evidence of recent fire (‘unburned’ stands). Two-way analysis of variance (ANOVA) was...

Data transmission security has become an extremely important field of research. Steganography is an art of hiding information in image, audio and video files in a way that would meet the security requirements in the form of overt or covert. In this study, we propose a new hybrid steganography technique for color images that hide secret messages in the frequency domain of a cover image's blu...

extended abstractintroductiona map is a drawing ground features on one side of the paper. the cartographic maps are representations of the earth upon a flat surface in the smaller scale than it’s true. large scale maps cover relatively small regions in great detail and small scale maps cover large regions such as nations, continents and the whole globe. logical connection between the features a...

The objective of this research is to assess the multitemporal very high resolution single polarization SAR data for urban land cover/land-use mapping using a novel knowledge-based SEM algorithm. Three-date RADARSAT-2 ultra-fine beam SAR data were collected over the rural-urban fringe of Greater Toronto Area. A modified Stochastic Expectation-Maximization (SEM) algorithm which employs an adaptiv...

High-resolution visible remote sensing imagery and thermal infrared hyperspectral imagery are potential data sources for land-cover classification. In this paper, in order to make full use of these two types of imagery, a spatial-spectral-emissivity land-cover classification method based on the fusion of visible and thermal infrared hyperspectral imagery is proposed, namely, SSECRF (spatial-spe...