SAMSI directorate and researchers from around the world attended the Remote Sensing, Uncertainty Quantification and Theory of Data Systems Workshop, held at NASA’s Jet Propulsion Laboratory (JPL) in Pasadena, CA from Feb. 12-14, 2018.
This was a co-sponsored event in conjunction with researchers from Caltech and the purpose was to bring applied mathematicians, computer scientists, experts in remote sensing technology, and Climate and Earth System scientists together. The researchers reviewed, discussed and planned research on issues related to large-scale data analysis of distributed data using spatial statistical methods.
Attendees were treated to numerous talks on subjects like data system architectures, distributed access and analysis of large scale data and multi-layer modeling methods. Understanding these principles are vital in this research.
Remote sensing, used by the USGS and other research organizations, is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance from a targeted area. Data is captured from sources such as cameras on satellites and planes, sonar systems and many more. The data helps to determine physical changes in the Earth such as temperature variance and ocean levels. This information gives researchers a better understanding of how our Earth is changing and evolving.
This remote sensing information is then entered into spatial statistical algorithms to run estimates on present and future changes. This information in many cases can be quite massive and thus stored in different physical locations. The workshop helped to discuss how to store this important data and how best to share it with multiple entities across multiple platforms accurately and efficiently.
This productive two-day workshop produced much discussion and the participants went away with a better understanding of how to further this research.
SAMSI co-sponsors several workshops each year in order to develop key partnerships with academic institutions and leading edge research organizations, like NASA, to bring the most up to date information to those who participate in their events. This workshop was just one more way that SAMSI supports the advancement of statistics, applied mathematics and computer science in order to innovate the future.
To find out what was discussed at this workshop, visit the webpage: https://www.samsi.info/remote-sensing-caltech.