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Using Landsat And Sentinel To Investigate Drivers Of Algal Growth In Utah Lake, Kaylee B. Tanner
Using Landsat And Sentinel To Investigate Drivers Of Algal Growth In Utah Lake, Kaylee B. Tanner
Utah Space Grant Consortium
Earth observation satellites provide a valuable opportunity to study spatial and temporal water quality trends in ways that are not possible with research based on in-situ water sampling. We used data from Sentinel 2 and the Landsat missions to analyze algae blooms on Utah Lake, a large, shallow, freshwater lake in Utah that is experiencing water quality challenges. We found that algae blooms mainly occur in the shallow bays and along the eastern shoreline of the lake, and are correlated with water temperature and turbidity. Our results suggest a need for further research and use of remote sensing data to …
Terrestrial Cosmic Ray Induced Soft Errors And Large-Scale Fpga Systems In The Cloud, Andrew M. Keller, Michael J. Wirthlin
Terrestrial Cosmic Ray Induced Soft Errors And Large-Scale Fpga Systems In The Cloud, Andrew M. Keller, Michael J. Wirthlin
Utah Space Grant Consortium
Radiation from outer space can cause soft errors in microelectronic devices deployed at terrestrial altitudes on Earth. Cosmic rays entering the Earth’s atmosphere create a complex cascade of radioactive particles. The most likely form of cosmic radiation to cause soft errors in microelectronics at terrestrial levels are neutrons. SRAM-based FPGAs are susceptible to terrestrial cosmic ray induced soft errors. These soft errors occur infrequently for a single device deployed at terrestrial altitudes. When many FPGAs are deployed in a large-scale system, the impact of these soft errors on reliability can be significant. This study examines terrestrial cosmic ray induced soft …
Connecting To The Data-Intensive Future Of Scientific Research, Lafe G. Conner, Richard A. Gill, Rory O'Connor
Connecting To The Data-Intensive Future Of Scientific Research, Lafe G. Conner, Richard A. Gill, Rory O'Connor
Utah Space Grant Consortium
In recent years enormous amounts of digital data have become available to scientific researchers. This flood of data is transforming the way scientific research is conducted. Independent researchers are in serious need of tools that will help them managed and preserve the large volumes of data being created in their own labs. Data management will not only help researchers get or keep a handle on their data, it will also help them stay relevant and competitive in increasingly strict funding environments. This paper provides summaries of best practices and case studies of data management that relate to three common data …