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In the Journal of Antarctic Science, a study was published that looks at how winds affect surface temperature on Antarctica. In order to perform this experiment, scientists made a map of the continent by using data from different satellite photos. A new way of visualizing wind patterns is being implemented by integrating aerial photos taken from NOAA’s DSCOVR satellite with air temperature data from NASA’s MERRA-2 reanalysis. Another revolutionary use for this technology is its ability to predict how climate change will impact weather conditions on a particular day or over an entire season. This information will be able to help scientists better predict and monitor natural disasters. The rapid modeling and analysis of megacities are also possible with this technology. Since the images are automatically analyzed, it reduces the amount of time needed for experimentation or performing an experiment manually. This program can be used in development to simulate current conditions in a city, which allows for corrections before actual construction begins. Another advantage of using this technology is that it prevents developers from building on land that is not suitable for the intended purpose or outside of regulatory requirements. If a building is being built too close to nearby bodies of water, for instance, the simulation could alert them to relocate the proposed location, saving money and time in construction. Using space-based physics models, this technology has the potential to predict the number of car accidents that may occur in a city. Current data is used in order to create simulations of how accidents would typically play out in different areas. Instead of using conventional physics equations, high resolution satellite images are currently being analyzed to predict traffic patterns and other contributing factors (weather, time of day, etc.) that contribute to traffic accidents. This results in much more accurate prediction methods than previous methods that relied on statistical data alone. An example given by researchers showed how they were able to accurately predict the amount of people walking across a bridge at any given time during rush hour (between 6:30–7:30 AM). This technology is still in its infancy, with only a small number of cities in the U.S. currently being monitored with this capability. The USGS also uses this technology to create models of earthquakes in the western United States. It is able to use satellite images of the surface to calculate the changes that are occurring deep underground. This allows for geologists to look at features that are not visible on the surface, which can help them determine whether or not an earthquake would be likely to occur in a given location. Habitat mapping tools are also being developed by NASA through the ASTER platform, allowing for images of specific areas on Earth’s surface can be produced using satellite imagery and used for conservation purposes. This allows for the mapping of threatened species, which helps provide a better understanding of habitats that are in danger of being lost. TreesEye is a project that uses satellite imagery to predict areas that need to be treated for disease and insects. This method can be used to predict areas where pathogens and pests are likely to be found, based on the effects they have on a particular area. This technology has applications in archaeology, allowing for researchers to use it in order to create maps of ancient sites on Earth’s surface. While satellites can currently only see up to 10 meters beneath the Earth’s surface, these maps can help archaeologists enhance their knowledge of past human settlement patterns and locations on Earth’s surface. eccc085e13
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