Nasa World Wind Europa challenge technologies to support delivery and analysis of geo-information

INSPIRE 2014 -AAlborg Introduction

Virtual Globes - also referred to as Geobrowsers or Earthbrowsers - are Internet-based 3D software engines that display geographic data models on a spherical representation of the (or other planets).

INSPIRE 2014 -AAlborg History  Jan 1998: Gore speech on digital earth

 Nov 1999: first international symposium on DE

 Early 2005: 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 paradigm

TECHNOLOGY DEVELOPMET • Broadband • Software • Computing • Middelware • Storage • Server

DATA • USERS • GeoDb • Professionals • Sensor • Researchers • Social networks • citizen

INSPIRE 2014 -AAlborg Where is the problem?

Depsite technology improvments, big player involvment and 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 enanche competition 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 develop vertical How to export local GIS and commercial model to pan europen application on top of dimension; EU/Local framework;

How to make available Go towards a real and reusable the federated architecture processed data;

Gap between standard technologies and users skill;

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

Data as a Services is SAR able to facilitate data DaaS discoverability, accessibility and LIDAR utilizability on the fly to support science on demand. Sensor

Geo-db

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 surface temperature (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 through the 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 raw data alone, and beyond the intent to utilize it, there needs to be capacity to understand and use data effectively” Andreas Weigend, stanford University

INSPIRE 2014 -AAlborg