nasa world wind europa challenge -...

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