Infrastrutture di dati spaziali e strumenti Web di visualizzazione per i dissesti idrogeologici

Transcription

1 20 Maggio 2015, Aula De Donato GEO Laboratory Como Campus Infrastrutture di dati spaziali e strumenti Web di visualizzazione per i dissesti idrogeologici Maria Antonia Brovelli & Marco Minghini Politecnico di Milano, DICA GEO Laboratory at Como Campus

2 Geographic Information Systems (GIS) 2 The set of software, hardware, people, institutions and standards, which together deal with acquiring, storing, manipulating, analyzing, managing and presenting all types of geospatial data

3 Desktop GIS users 3 Popular, easy-to-use applications to visualize, edit, manipulate & process geospatial data: QGIS, ArcGIS, gvsig, etc.

4 Desktop GIS developers 4 Suitable environments to create customized modules, add-ons & plugins: advanced/specific functionalities routines for repetitive tasks modelling & simulation

5 Geospatial Web WWW 5

6 Geospatial Web data 6

7 7 Geospatial Web users data

8 8 Geospatial Web users data catalogues

9 9 Geospatial Web users data processing catalogues

10 10 Geospatial Web users INTERNET data processing catalogues

11 The Digital Earth 11 A multi-dimensional, multi-resolution model of the Earth allowing to contextualize the huge amount of georeferenced information related to the physic and social-economic environment (Gore 1998): a challenge for managing geo Big Data every day we create 1018 bytes of data and the 80% are georeferenced or georeferenceable allows navigation through space and time (accessing historical data as well as future predictions based on models) responds to the needs of multiple stakeholders: scientists, decision makers, communities, citizens, children, etc. based on open access and participation (GeoWeb 2.0, Science 2.0, etc.) through multi-platforms data, information, services, models, scenarios and forecasts can be accessed from current and future devices Gore, A., 1998 The Digital Earth: underdstanding our planet in the 21 st century,

12 The Internet of Everything 12 Objects (or things) will be linked and communicate through the network and will react in different ways according to their location and time (26 billion devices are expected to be connected within 2020): Internet of Information Internet of Places Internet of People Internet of Things Internet of Everything

13 Spatial Data Infrastructure (SDI) 13 A coordinated set of agreements on technology standards, institutional arrangements and policies that enable the discovery and use of spatial information by users and for goals other than those it was created for example: INSPIRE (Infrastructure for Spatial Information in Europe)

14 Spatial Data Infrastructure (SDI) 14 A coordinated set of agreements on technology standards, institutional arrangements and policies that enable the discovery and use of spatial information by users and for goals other than those it was created for example: INSPIRE (Infrastructure for Spatial Information in Europe) INTEROPERABILITY (ISO TC211, OGC, etc.)

15 15 Example of an SDI for hydrogeological events SERVER CLIENT DATA WEB PUBLICATION DATA WEB VISUALIZATION Web Map Service (WMS) Web Feature Service (WFS) Web Coverage Service (WCS) Catalogue Service Web (CSW) DATA STORAGE & PROCESSING Web Processing Service (WPS) Sensor Observation Service (SOS) DATA ACQUISITION

16 Geospatial Web Evolution of the 1990s Geospatial Web 1.0 Interactive tools allowing user participation in spatial data management OGC standards for geospatial interoperability GPS, AJAX and mapping Application Programming Interfaces (APIs) Diffusion of mobile devices equipped with sensors (GPS, camera, etc.) users can easily perform real-time collection of georeferenced data Volunteered Geographic Information (VGI) and geo-crowdsourcing the idea of humans acting as sensors able to acquire spatial contents Citizen Science set of practices in which citizens participate in data collection, analysis and dissemination of a scientific project Participatory Sensing: applications centered on mobile phones capabilities

17 17 FOSS-based SDI for participatory sensing

18 AdbPo report of water-related elements 18 Report of water-related elements (including problems & emergencies): VGI campaign managed by AdbPo (Autorità di Bacino del fiume Po Po river basin Authority) to enlarge consciousness of its territory through collection and valorisation of user local knowledge

19 AdbPo report of water-related elements 19 Report of water-related elements (including problems & emergencies): VGI campaign managed by AdbPo (Autorità di Bacino del fiume Po Po river basin Authority) to enlarge consciousness of its territory through collection and valorisation of user local knowledge

20 AdbPo report of water-related elements 20 Report of water-related elements (including problems & emergencies): VGI campaign managed by AdbPo (Autorità di Bacino del fiume Po Po river basin Authority) to enlarge consciousness of its territory through collection and valorisation of user local knowledge

21 AdbPo report of water-related elements 21 Report of water-related elements (including problems & emergencies): 2D data visualization and interaction in a cartographic mashup

22 AdbPo report of water-related elements 22 Report of water-related elements (including problems & emergencies): 2D data visualization and interaction in a cartographic mashup

23 AdbPo report of water-related elements 23 Report of water-related elements (including problems & emergencies): 3D data visualization and interaction in a virtual globe-based platform

24 AdbPo report of water-related elements 24 Report of water-related elements (including problems & emergencies): 3D data visualization and interaction in a virtual globe-based platform

25 Conclusions 25 Geospatial data play a crucial role in the management of hydrogeological emergencies and there are mature technologies to exploit them: real-time and massive information need to properly access, store, process, use and distribute it through a Spatial Data (Web) Infrastructure interoperability of data & services (STANDARDS!) Web visualization as a key access to the data User-collected data represent a (potentially) invaluable information: they come continuously and at no cost can be extremely useful in case of disasters they come with no assurance of quality how to treat them?

26 26 Contacts The authors would like to thank all the staff of the GEO Lab of Politecnico di Milano Como Campus: Candan Eylül Kilsedar, Carolina Arias Muñoz, Monia Molinari and Giorgio Zamboni. Thanks for your attention! Marco Minghini Politecnico di Milano Laboratorio di Geomatica Polo Territoriale di Como Via Valleggio 11, Como (Italy)