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Richardson, TX, United States

Crasto N.,KBM Group | Hopkinson C.,University of Lethbridge | Forbes D.L.,Bedford Institute of Oceanography | Forbes D.L.,Memorial University of Newfoundland | And 4 more authors.
Remote Sensing of Environment

In the Mackenzie Delta, western Arctic Canada, decisions relating to navigation, socio-economics, infrastructure stability, wildlife, vegetation and emergency preparedness are closely related to the delta hydrology. Presented here is a remote sensing decision-tree approach to delineate open-water hydrological features using high-resolution LiDAR terrain, intensity and derivative data. The proposed classification scheme exploits the propensity of LiDAR point attributes and data metrics such as point density and standard deviation (of intensity and elevation) to cluster around characteristic response values over water and non-water surfaces. Due to the impracticability of validating an Arctic water surface classification over such a huge and remote area, results of the hierarchical classification were compared to alternative classifications derived from Radarsat-2 and a manually intensive digitisation technique. Open-water features were identified with >. 95% accuracy when compared to manually interpreted data. The spatially extensive but temporally distinct information on the hydrological setting of the delta thus extracted forms the basis for calculation of time-invariant parameters such as off-channel storage capacity and hydraulic gradients. In situations where LiDAR data are primarily collected in support of terrain-based watershed hydrologic or floodplain hydraulic assessments, contemporaneous water extent and associated level data are valuable in further characterizing terrain hydrological characteristics. © 2015 Elsevier Inc. Source

Vek U.,KBM Group | Jagric T.,University of Maribor | Markovic Hribernik T.,University of Maribor
Economic Computation and Economic Cybernetics Studies and Research

This paper examines the volatility of the stock indices of two world powers - USA and China, before and during the global financial crisis. Generally, it is believed that markets of developing countries are riskier than the developed capital markets. The purpose of this study was to confirm or reject this common belief, to determine whether the characteristics of American stock market fluctuation changed during the crisis, and to compare its volatility to China. We used three different GARCH models to examine the volatility. The study confirmed that during the global financial crisis volatility significantly increased on both stock markets. The results of this study thus do not support the common belief that the developed capital market is subject to relatively lower volatility than the developing market. During the current global financial crisis, the developed American market has actually been more volatile than the Chinese one. Source

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Because of todays direct digital relationships and a new generation of consumers whose behavior is centered on personal technology and social media, consumer product brands need to find new ways of connecting with consumers personalized, relevant one-to-one interactions as well as innovative ways of finding and reaching new audiences. Modern marketing also has to factor in B2B2C dealer and distributor relationships, which are changing along with the digital and social environment ...

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