| Session Details | |
| Section | IG - Interdisciplinary Geosciences |
| Session Title | Big data, point cloud, and geospatial analytics in geosciences |
| Main Convener | Dr. Uma Das (Indian Institute of Information Technology Kalyani, India) |
| Co-convener(s) | Dr. Sanat Kumar Das (Bose Institute, India) Dr. Yuichi S. Hayakawa (The University of Tokyo, Japan) Prof. Chandra Shekhar Dubey (Delhi University, India) |
| Session Description | Big Data analytics is an emerging field percolating into every other field beginning from cloud storage to stock market fluctuations to the many sub branches of sciences. Atmospheric, space and earth sciences are no exception with huge amounts of data flowing in from satellites, networks of ground stations, models and reanalyses. Many of these datasets, in addition to having a basic science inquisitiveness appeal to the research-oriented mind, are also interesting many socio-economical groups. Data investigations, analysis, pattern finding, data curation, visualization, sharing, querying are all a huge question in today’s world where data inflow rate is very high, thereby demanding more efficient tools to address and utilize the large amounts of data for the benefit of mankind. Also, Natural Resource Data Management System (NRDMS) could be expanded into various sub-components like Village Information System, Health GIS, Large Scale Mapping of disasters etc. Furthermore, availability of three-dimensional point cloud data has widely been developed in geosciences field including the earth surface processes and dynamics, which are crucial for natural hazard assessments. Point cloud data offers various opportunities for the analysis of surface topography and subsurface structures, where the advanced use of point cloud data needs to be thoroughly challenged across various research fields in geosciences. The session invites all researchers from atmospheric, space and earth sciences to present their work with Big Data, high-density point cloud, and geospatial analytics. All aspects related to data analytics methods and tools, Big Data solutions, Big Data processing, visualization, sharing, querying, and results obtained from these studies involving Big Data are all welcome. Researchers in these areas are invited to come together to discuss future directions in utilization of Big Data, point cloud, and geospatial analytics in space, atmospheric and earth sciences for the benefits of mankind like natural disasters & management and regional and space weather forecasting. |