Observation in absolute darkness and daytime under every atmospheric situation is one of the advantages of thermal imaging systems. In spite of increasing trend of using these systems, there are still lots of difficulties in analysing thermal images due to the variable features of pedestrians and atmospheric situations. In this paper an efficient method is proposed for detecting pedestrians in ...

With growing amounts of wind and solar power in the electricity mix many European countries, understanding predicting variations renewable energy generation at multiple timescales is crucial to ensure reliable systems. At seasonal scale, balance between supply demand mostly determined by large-scale atmospheric circulation, which uncertain due climate change natural variability. Here we employ ...

Water level monitoring is important for understanding the global hydrological cycle. Remotely-sensed indices that capture localized instantaneous responses have been extensively explored for water level reconstruction during the past two decades. However, the potential usage of the Palmer’s Drought Severity Index (PDSI) and El Niño Southern Oscillation (ENSO) indices for water level reconstruct...

Please cite this paper as: Behdad A. Evaluation and Importance of Trauma. Arch Trauma Res.2012; 1(2):49-50. DOI: 10.5812/atr.7245 Implication for health policy/practice/research/medical education: The role of trauma in the modern society has a vital importance and significance role that resorting to any facilities and strategies to handle the dilemma seems worthful for all researchers in this s...

This paper presents an approach designed to derive an urban morphology map from satellite data while aiming to minimize the cost of data and user interference. The approach will help to provide updates to the current morphological databases around the world. The proposed urban morphology maps consist of two layers: 1) Digital Elevation Model (DEM) and 2) land cover map. Sentinel-2 data was used...

Vigorous discussions and disagreements about the future changes in drought intensity in the U.S. Great Plains have been taking place recently within the literature. These discussions have involved widely varying estimates based on drought indices and model-based projections of the future. To investigate and understand the causes for such a disparity between these previous estimates, the authors...

This research developed a numerical-hierarchical framework that captured surface conditions and climate parameters. Volume changes under distinct scenarios of boundary, antecedent moisture, meteorological parameters were predicted using coupled seepage-deformation model. Risk was hierarchically based on expert judgment for (Stage-I indices) normal distribution moisture atmospheric (Stage-II ind...