Develop a web tool, mobile device app or add-on for existing apps or websites that leverages NASA imagery and climate data to illustrate the impacts of our changing Earth in areas of interest to you. Some ideas to explore include:

  • Use NASA Earth observations data, social media, smart phones, and Short Message Service (SMS) text phones to collect Earth observations and connect public in local, regional, and national networks to communicate about our changing planet.
  • Examine current natural events curated by NASA’s EONET (Earth Observatory Natural Event Tracker) by browsing global historical and near real-time imagery from space.
  • Upload images or other data points demonstrating visible observations and how they compare to satellite data. For example, generating early-warning alerts or validating precipitation rates reported from NASA’s Global Precipitation Measurement Mission.
  • Integrate NASA imagery with a mobile assistant to allow for dynamic image generation based on a basic request structure.

Pilot: Big Questions, Short Answers (Big?)

The present web site delivers a holistic view of Planet Earth linking comprehensive information and geospatial navigator tools for visual analysis of top questions. This innovative platform built on IBM LinuxOne, integrates several Earth observation sources with information that is designed for educational purpose.

Planet Earth is a complex life system, including the hydrosphere, climate, biosphere, nutrient cycles, and geosphere. The application guides the navigation though information rich satellite image, numerical models and maps to make your own findings and conclusions. Your findings during the research will never will be repetitive. We suggest to prepare a conclusion which is a synthesis of key points and, if applicable, take note where you will recommend new areas for future research and let us know.

Link to the Big? application:

Resources Used

Platform: IBM LinuxOne Community system with SUSE SLES Linux 12, Python and open-source packages for geospatial mapping and data analytic.The software packages chosen for math support and visualization were: Python Numpy, Matplotlib, NOAA netCDF4, Grib, Geos, Gdal, Ogr, QHull, Pil, for data analytic: Spark, Scala, Cloudant and others. The mapping support was delivered by Leaflet Open Map and Python Folium. IBM LinuxOne Community delivers free of charge demo accounts available for students.

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