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2015 Projects

nww bullFirst Place Academic Tracknww bull

Team:
Levi Purdy, Anna McDonald,
John Dunlop, Kyle Ruotsalainen

Mentors:
Prof. Ron Fortunato, Dr. Neil Moomey

Global Earthquake Forecast System

Global Earthquake Forecast System
(GEFS)

Trillium Learning &
Kodiak Island Borough District

Magnetic field anomalies have been shown to precede an earthquake by several hours to several days. This anomalous fluctuation in the Earth's magnetic field is associated with the enormous tectonic stress build-up at the earthquake's hypocenter.

  1. This first phase of a Global Earthquake Forecast System (GEFS) incorporates real-time measurements of the Earth's magnetic field from a distributed array of 3‑axis magnetometers.

  2. The data is collected at a rate of at 20 Hz, visualized in near real-time and continuously analyzed for magnetic field anomalies indicative of earthquake precursor signals.
nww bull   Second Place Academic Track    nww bull

Mentor:
Prof. Jim Miller

live LiDAR

LiDAR
Data Visualization and Analysis

University of Kansas

LiDAR data is becoming increasingly important to urban management and other areas where LiDAR data is invaluable. This project uses the NASA Web World Wind as the interface for LiDAR data to be read, filtered, edited, and visualized in the native context of a virtual globe.

  1. In order to support data sets that cannot be geo-referenced, the majority of the functionality will also be available in a stand-alone graphics environment outside the context of World Wind.

  2. The previous LiDAR implementation is in Java and is launched via JNLP links from a browser. The effort being considered here is to re-implement these Java tools in JavaScript using Web World Wind.

  3. This project builds on earlier success with LiDAR tools and support for the City of Springfield, Oregon.
nww bull   Third Place Academic Track    nww bull

Team:
Qing Liu, Junlin He

Mentor:
Prof. Jing Li

GeoSim: Cloud-based 5D-Geovisualization

GeoVis
Cloud-based 5D-Geovisualization

University of Denver

GeoSim applies visual analytics to multidimensional geospatial data. GeoSim will provide an online visualization framework using Web World Wind for efficient geovisualization of massive climate data. The framework has the following features:

The framework has the following features:

  1. Deployed within a Cloud environment to improve the accessibility of visualization services.

  2. Provides fundamental visualization functions ranging from 2D animation to 3D volumetric rendering.

  3. Utilizes the emergent CUDA technique to improve the efficiency of the visualization pipeline.
nww bull   First Place Professional Track    nww bull


Team:
Doug Campbell , Marc Castellnou,
Debbie Schubert, Woody Bouska,
Bruce Schubert, TJ Walton

Mentor:
Bruce Schubert

EMXSYS

Wildfire Management Tool (WMT)
Web Version: webWMT

EMXSYS

The Wildfire Management Tool displays the potential fire behavior of wildfires projected into the future. This allows for maximum firefighter safety.

Sophisticated analytical tools are applied for considering the most effective use of fire management resources. webWMT will extend the desktop version with the following:

  1. Cloud-based Computational Services

  2. Dynamically Shared Projects
nww bull   Second Place Professional Track    nww bull

Team:
Gustavo German Soria,
Nicola Meneghini

Mentor:
Nicola Dorigatti

WWEC-OSM

wwwOSM
Web World Wind – OpenStreetMap

Trilogis srl

wwwOSM joins OpenStreetMap with Web World Wind

wwwOSM is composed of:

  1. An API layer for read-only geodata based on a custom version of the OSM API. This provides a wide range of querying options, geojson support and a service layer that keeps the local OSM database up-to-date based on any differences since the last update.

  2. A Web World Wind layer to visualise, interact and filter OSM elements. This includes a cached system to enhance the performances and an advanced option to filter desired elements by level-of-detail to ensure maximum usability of the service
nww bull   Third Place Professional Track    nww bull

Team:
Lluís Marqués Castelló,
Jose Manuel Vivó Arnal

Mentor:
Joaquín del Cerro Murciano

gvsig plugin

gvSIG 3D View Plugin
gvSIG Association

3D View is a plugin for gvSIG 2.2 based on NASA WorldWind SDK that allows users to create 3D views from gvSIG 2D views. 

3D View plugin is compatible with all vector and raster formats, databases and web remote services supported by gvSIG Desktop. 

3D View can:

  1. Rasterize vector layers with any symbology.

  2. Load raster layers and digital elevation models.

  3. Register layer changes in 2D view to update them into 3D view.

  4. Synchronize both views at the same time.

 

Team:
Er An Khoo, Haoriwa,
Yong Keat

Mentor:
Prof. Varun Chandola

wGlobe

wGlobe:
Interactive Visualization and Analysis of Spatial Data (NetCDF)

State University of New York at Buffalo

  1. wGlobe provides intuitive access and visualisation of NetCDF data using Web World Wind.

  2. wGlobe will enhance the Web World Wind platform to more readily visualize and analyze climate data accumulating in the big data repositories typically associated with climate research.

  3. wGlobe builds on success with an earlier NetCDF World Wind project iGlobe.

  Team:
Krisztián Fehér

Mentor:
Dr. Zoltán Siki

ZEUS Easy track screenshot

 

ZEUS Easy Track
Krisztián Fehér

ZEUS Easy Track is a desktop application which provides an interactive display for real-time remote tracking analysis using NASA World Wind.

  1. Easy Track receives location data of mobile devices. This data is stored on a web server and analysed using another application running in parallel with Easy Track.

  2. Easy Track can be used for private and commercial purposes, including analyses, remote location display, navigation support and traffic control on-ground or in-the-air. All analyses are performed in real-time.

Team:
Vishal Tiwari, Neha Pande,
Gaurav Parida, Ayush Khandelwal

Mentor:
Dr. Krishnan Sundara Rajan

Steady-State Water Rise
4D Visualization

Steady-State Water Rise
4D Visualization

International Institute of Information Technology, Hyderabad

Dynamic visualization of a steady-state water rise due to rainfall over a defined urban area with the following features:

  1. Computing the volumetric capacity of different parts of the terrain.

  2. Calculate height of water for different areas of flooding in the city model.

  3. Time slider will show water rise at various time intervals.


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