IN23C:
Browser-Based Mapping, Space-Time Visualization, and Analysis of Big Earth Science Data I Posters

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Session ID#: 26878

Session Description:
Scientific visualization has been taking an important role in the Earth science community to support data exploration, analysis and discovery of hidden knowledge. The recent advancement of earth observation (EO) technology, i.e. satellite, sensor network, and drones as well as regional/global simulation models, have garnered the production of massive amount of EO data. Although progress has been made in Web- or virtual-globe based visualization, such as NASA’s Worldview and AGI Cesium, innovative ways for visualizing multi-dimensional, multi-variate, time-series big EO data is still urgently desired. In this session, we solicit presentations on novel browser-based solutions for the mapping, visualization and analysis of Earth science data. Topics include but not limited to immersive technology and tools on browser-based data rendering, big data transmission over the Web, spatiotemporal data indexing and representation, visual analytics etc. Applications in all aspects of Earth science, such as oceanography, geology, polar, biology and climate are welcome.
Primary Convener:  Wenwen Li, Arizona State University, School of Geographical Science and Urban Planning, Tempe, AZ, United States
Conveners:  Joe T Roberts, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and Charles K Thompson, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Chairs:  Charles K Thompson, Jet Propulsion Laboratory, Pasadena, CA, United States, Joe T Roberts, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and Wenwen Li, Arizona State Univ, School of Geographical Science and Urban Planning, Tempe, United States
OSPA Liaison:  Charles K Thompson, Jet Propulsion Laboratory, Pasadena, CA, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • C - Cryosphere
  • H - Hydrology
  • OS - Ocean Sciences
Index Terms:

1926 Geospatial [INFORMATICS]
1976 Software tools and services [INFORMATICS]
1992 Virtual globes [INFORMATICS]
1994 Visualization and portrayal [INFORMATICS]

Abstracts Submitted to this Session:

GeoDash: Assisting Visual Image Interpretation in Collect Earth Online by Leveraging Big Data on Google Earth Engine (271474)
Kel Nicolas Markert1,2, William Ashmall3,4, Gary Johnson5,6, David S Saah5,7, Eric Ross Anderson8,9, Africa Ixmucane Flores Anderson10,11, Alfonso Sánchez-Paus Díaz12, Danilo Mollicone12 and Robert Griffin13, (1)University of Alabama in Huntsville, Earth System Science Center, Huntsville, AL, United States, (2)NASA Marshall Space Flight Center, SERVIR Science Coordination Office, Huntsville, United States, (3)USRA, NASA-SERVIR, Huntsville, AL, United States, (4)NASA-SERVIR, Science Coordination Office, Huntsville, AL, United States, (5)Spatial Informatics Group, LLC, Pleasanton, United States, (6)SERVIR-Mekong, Bangkok, Thailand, (7)University of San Francisco, Geospatial Analysis Lab, San Francisco, CA, United States, (8)NASA-SERVIR, Science Coordination Office, Huntsville, United States, (9)University of Alabama in Huntsville, NASA-SERVIR, Huntsville, AL, United States, (10)University of Alabama in Huntsville, Earth System Science Center, Huntsville, United States, (11)NASA Marshall Space Flight Center, Earth Science, Huntsville, AL, United States, (12)UN FAO, Forestry Department, Rome, Italy, (13)University of Alabama in Huntsville, Huntsville, AL, United States
A browser-based 3D Visualization Tool designed for comparing CERES/CALIOP/CloudSAT level-2 data sets. (279343)
Churngwei Chu1, Sunny Sun-Mack2, Yan Chen2, Elizabeth Heckert1 and David R Doelling3, (1)Science Systems and Applications, Inc., Hampton, VA, United States, (2)Science Systems and Applications, Inc., Hampton, United States, (3)NASA Langley Research Center, Hampton, United States

See more of: Earth and Space Science Informatics