nasa world wind europa challenge -...
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INSPIRE 2014 -AAlborg
Nasa World Wind Europa challenge
Virtual globe technologies to support delivery and analysis of geo-information
INSPIRE 2014 -AAlborg
INSPIRE 2014 -AAlborg
IntroductionVirtual Globes - also referred to as Geobrowsers orEarthbrowsers - are Internet-based 3D software engines thatdisplay geographic data models on a spherical representation ofthe Earth (or other planets).
INSPIRE 2014 -AAlborg
History Jan 1998: Gore speech on digital earth
Nov 1999: first international symposium on DE
Early 2005: Google release Earth client
2009: Nasa World Wind NASA Software of the Year
INSPIRE 2014 -AAlborg
Virtual globes Software
INSPIRE 2014 -AAlborg
INSPIRE 2014 -AAlborg
Digital earth paradigmTECHNOLOGY• Broadband• Computing• Storage
DEVELOPMET• Software• Middelware• Server
DATA• Remote sensing• GeoDb• Sensor• Social networks
USERS• Professionals• Researchers• citizen
INSPIRE 2014 -AAlborg
Where is the problem?
Depsite technology improvments, big player involvmentand increasing of geo-spatial information:
Virtual globes remain substaintaly a visualization tool
INSPIRE 2014 -AAlborg
The need of a challenge
To give application to the virtual globe world for building functionality needed to express, manipulate or analyse data.
To promote Open Source technology, to enanchecompetition and innovation in order to accelerate development of solutions.
To increase social and economic benefit for the world exploiting the “open Data” and standards: OGC, INSPIRE, big data etc.
INSPIRE 2014 -AAlborg
Why NWW Europa Challenge?
NASA’s open source virtual globe technology for spatial data.
World Wind is based on open standards, i.e., OGC WMS, and can be configured to accommodate any desired data format.
World Wind is freely utilized by the world’s space agencies, local and national governments agencies, commercial industry, including Fortune 100 companies, and others.
INSPIRE 2014 -AAlborg
Digital Earth challenges (1):
Digital globes implement only parts of the Digital Earth vision:
A distributed collection of knowledge about the earth;
A collection of knowledge about the earth’s dynamics;
Understanding of the earth focusing on process
INSPIRE 2014 -AAlborg
Digital Earth challenges (2):Several standards and
implementation hard to be fully compliant;
How to export local GIS model to pan europen
dimension;
How to make available and reusable the processed data;
Gap between standard technologies and users
skill;
Go towards a real federated architecture
How to develop vertical and commercial
application on top of EU/Local framework;
INSPIRE 2014 -AAlborg
What is needed
Data and their Interoperabilty;
Algorithms and models;
Distributed and federated architecture;
Spatiotemporal support for Sensing technologies;
Bring together database designer, modellers, simulators, gamers, robotic, visualizers.
INSPIRE 2014 -AAlborg
The context (today)
Istitutional framework: Several initiatives to harmonize and share information
(INSPIRE, GEO and GEOSS, Open Data, etc.)
Technologies: Softwares, broadband, cloud, standards.
Users involvment: Citizen as prosumers, SMEs, collaborative projects.
INSPIRE 2014 -AAlborg
Ortho photo
Infrared images
SAR
LIDAR
Sensor
Geo-db
DaaS
Data as a Services isable to facilitate data discoverability,accessibility and utilizability on the fly to support science on demand.
INSPIRE 2014 -AAlborg
Widely used standard services, such as:
• WMS• WFS• WCS• WPS• SOS• OpenLs
Personalized services based on standard format:
• jSon formatted answer;• CityGml providing service.
INSPIRE 2014 -AAlborg
Deploy Local GIS model
Extracting parameters, such as vegetation index(VI) or sea surfacetemperature (SST), from EO data involves a complex series of geospatial processes, such as reformatting and reprojecting.
Source: redHat
INSPIRE 2014 -AAlborg
Knowledge and decision support:
SaaS provides various capabilities of sophisticated applications throughthe Web browser to end users
INSPIRE 2014 -AAlborg
Perspective on digital earth
Allowing search trough time and space to find similar situations with real time data from both sensor and humans
Asking questions about change, identification of anomalies in space both human and environmental domains
Enabling access to data information services and models as well as scenario and forecast: from simple queries to complex analyses across the environmental and social domain
Supporting the visualization of abstract concepts and data types ( e.g. low income poor health and semantic
Based on open access and partecipation across multiple technological plattforms media
Engaging interactive exploatory and a laboratory for learning and for multidisciplinary eduacation and scince
INSPIRE 2014 -AAlborg
“Beyond the availability of rawdata alone, and beyond the intent to utilize it, there needs to be capacity to understand and use data effectively”Andreas Weigend, stanford University