Satellite storm ahead

3D Cloud and Storm Reconstruction from Satellite Image

The satellite images in Asia are produced every hour by Kochi University, Japan (URL http://weather.is.kochi-u.ac.jp/SE/00Latest.jpg). They show the development of cloud or storm movement. The sequence of satellite images can be combined to show animation easily but perspective angle view can be shown only from the top-view. In this paper, we propose the method to reconstruct the 2D satellite i...

Day-Ahead Hail Prediction Integrating Machine Learning with Storm-Scale Numerical Weather Models

Hail causes billions of dollars in losses by damaging buildings, vehicles, and crops. Improving the spatial and temporal accuracy of hail forecasts would allow people to mitigate hail damage. We have developed an approach to forecasting hail that identifies potential hail storms in storm-scale numerical weather prediction models and matches them with observed hailstorms. Machine learning models...

Decent Work: Introducing the Obstacles Ahead

Our main aim was to identify and prioritize the obstacles to the implementation of decent work in the industry. The current research was applied in terms of purpose. It was also descriptive survey in terms of collecting data. Due to the large extent of industry sector actors, only one side of the main actors' triangle in the industrial sector in Yazd province was selected as the statistical sam...

Evaluation of Ikonos Satellite Imagery for Detecting Ice Storm Damage to Oak Forests in Eastern Kentucky

Ice storms are a recurring landscape-scale disturbance in the eastern U.S. where they may cause varying levels of damage to upland hardwood forests. High-resolution Ikonos imagery and semiautomated detection of ice storm damage may be an alternative to manually interpreted aerial photography. We evaluated Ikonos multispectral, winter and summer imagery as a tool for detecting forest canopy dama...

Estimating the Greatest Dust Storm in Eastern Autralia with Modis Satellite Images