Analysis Ready Data (ARD) has been greatly recommended by the Committee on Earth Observation Satellites (CEOS) for simplifying and fostering long time series analysis at large scale with minimum additional user effort. Landsat ARD successfully made widely used analysis. Subsequently, Chinese satellite data similar to have processed will be into ARDs promote use of data. At first stage mission, ...

The purpose of this study was to investigate the effect of satellite networks (GEM TV and Farsi 1) on the religious beliefs of youth in the city of Farashband. The type of research in terms of purpose, applied and in terms of data collection, was causal-comparative. The statistical population of this study is all the youths of the Farashband city in 2015, which includes 7569 people. The sample ...

Remote sensing has changed modern oceanography by proving synoptic periodic data which can be processed. Since the satellite data are usually too much and nonlinear, in most cases, it is difficult to distinguish the patterns from these images. In fact, SOM (Self-Organizing Maps) model is a type of ANN (Artificial Neural Network) that has the ability to distinguish the efficient patterns from th...

Bringing together a number of cutting-edge technologies that range from storing extremely large volumesof data all the way to developing scalable machine learning and deep algorithms in distributed manner, having them operate over same infrastructure poses unprecedentedchallenges. One these challenges is integration European Space Agency (ESA)s Thematic Exploitation Platforms (TEPs) information...