Due to its capacity to describe detailed information., high spatial resolution remote sensing technology has been used increasely in forest resource dynamic monitoring, especially at large scale. Based on 0.5m resolution Worldview-2 data and 1:10000 forest stand-wise vector data, monitoring on forest resource dynamic during 2010-2011 in Pingtan Island is carried out. Object-oriented classificat...

leaf size indices of the tree species in the peatland of agusan del sur in mindanao in philippines was examined to deduce the variation of forest structure and observed forest zonation.  using raunkiaer and webb’s leaf size classification, the leaf morphometrics of seven tree species consistently found on the established sampling plots were determined.  the species includes ternstroemia philipp...

Forest typology is yet to get sufficiently integrated into related ecological and geographical sciences. The succession of plant phytocenoses necessitates constant adjustments forest types. discussed studies have been conducted improve the classification types in Ukrainian Carpathians bring description closer actual distribution vegetation within studied area. paper provides a detailed analysis...

high-resolution imagery such as ikonos satellite can produce useful information for many resource management applications. we investigated the capability of pan and multi spectral ikonos imagery of one region of tehran dated from 2005 in urban vegetation management and mapping of green cover. after data quality of images for radiometric noises, the images were geometrically corrected by polynom...

In the light of “Biological Diversity” concept, habitats are cardinal pieces for biodiversity quantitative estimation at a local and global scale. Europe EUNIS (European Nature Information System) is system tool habitat identification assessment. Earth Observation (EO) data, which acquired by satellite sensors, offer new opportunities environmental sciences they revolutionizing methodologies ap...

The last experiences showed that spectral data have not sufficient to classify forest types in the mountainous area. In order to clear abilities of spatial models to classify forest types and improve results, an investigation was planned in a case study in the northern forests of Iran by ETM+ data. The spatial models based on aspect, elevation, incorporated aspect-height and homogenous units co...

different ecologic factors influence on forming, development and sustaining of the plant communities, among which physiographic variables are the most important ones. the aim of this study was to identify forest types and effect of physiographical factors such as sea level height, slope and aspect of the site on quantitative characteristics of forest types in 2nd district of vaz forest with are...

Network traffic classification continues to be an interesting subject among numerous networking communities. This method introduces multi-beneficial solutions in different avenues, such as network security, network management, anomaly detection, and quality-of-service. In this paper, we propose a supervised machine learning method that efficiently classifies different types of applications usin...

Remote sensing has been considered a low-cost, large-area coverage forest information resource ideally suited to broad-scale forest inventory objectives. The objective of this study is to determine stand type parameters such as crown closure, development stage and stand types, and land cover obtained from Landsat 7 ETM image and forest cover type map (stand type map). The research also focuses ...

Vegetation plays a key role in reducing ambient temperature, moisture and pollutant capture, energy use and subsequent ground level ozone reduction. In recent years vegetation mapping has become increasingly important, especially with advancements in environmental economic valuation. The spatial information from the remote sensing satellites enables researchers to quantify and qualify the amoun...