foss4g in europe; italy and the politecnico de milano

GEO LaboratoryComo Campus

FOSS4G in Europe, Italy and the Politecnico di Milano

Politecnico di Milano, DICA – GEO Laboratory at Como Campushttp://geomatica.como.polimi.it/

Maria Antonia Brovelli, Carolina Arias Munoz, Marco Minghini, Monia Molinari and Giorgio Zamboni

University of Colorado Denver FOSS4G Lab

Spring 2015 Speaker Series Wed March 4, 12:00-1:00 PM US Mountain Time (7:00 PM GMT)

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✔ 1994: my first course in “Digital Cartography” (the first in Italy with GIS practice) at the Como Campus of Politecnico di Milano

✔ 1998: Birth of the Geomatics Lab at the Como Campus of Politecnico di Milano

✔ 1998: First thesis with GRASS

✔ 2000: at the Como Campus was organized the “First Meeting of Italian Users of GRASS”

✔ 2000: the First Number of Geomatics Workbooks with an Introduction to GRASS GIS by Markus Neteler was issued

✔ 2002: in Trento the first international “Open Source Free Software GIS - GRASS users conference” was organized: 140 attendees !!!

http://www.ing.unitn.it/~grass/conferences/GRASS2002/home.html

A bit of history …

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✔ 2004: FOSS4G 2004 - Free/Libre and Open Source Software for Geoinformatics in Bangkok


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✔ 2007: Birth of the Italian Association “GFOSS.it”. The Headquarter of the Association were at Como Campus of Politecnico di Milano.

✔ 2008: GFOSS became OSGeo Italian Chapter

✔ 2012: NASA World Wind Summer School


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✔ 2012: ZOO Open WPS platform Knowledge Partner

✔ 2013: GeoForAll initiative (Maria Member of the Advisory Board)

✔ 2013: 1°NASA World Wind Europa Challenge, Florence

✔ 2014: First FOSS4G Europe and 2° NASA World Wind Europa Challenge


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✔ Politecnico di Milano, Como Campus (Italy) – July 14-17, 2015

http://europe.foss4g.org/2015

Coming soon … @foss4ge


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✔ 6 scientific sessions (submission deadline: March 9, 2015)

FOSS4G Europe 2015 conference

➔ General Track➔ Academic Track➔ Water Track➔ Open Data Track➔ Library Track➔ Indoor/outdoor Positioning Track

✔ Complimentary events:➔ Practical workshops➔ Hacker Code Sprint➔ NASA World Wind Europa Challenge➔ 4 Mapping Parties➔ GeoForAll Labs meeting



8Desktop GIS

GRASS commands for filteringLiDAR Data and for interpolating them to obtain DTM

2002

http://grasswiki.osgeo.org/wiki/LIDAR

9WebGIS

http://webgis2.como.polimi.it/agew/ 2002-2004

http://webgis2.como.polimi.it/agew/

A GIS-BASED ACCURACY ASSESSMENT OF GLOBELAND30 ON ITALIAN AREA

Maria Brovelli, Monia Molinari

Politecnico di Milano, DICA - Hydroinformatics Lab at Como Campus

2 GlobeLand30

SOURCES: - Landsat TM and ETM+ - HJ-1

RESOLUTION: - 30 m

FORMAT: - Raster

REFERENCE SYSTEM: - WGS84 / UTM

BASELINE YEARS: - 2000, 2010

OVERALL ACCURACY: - 80% (preliminary tests)

GlobeLand30 (from www.globallandcover.com)

New global land cover dataset produced by the National Geomatic Center of China and released in September 2014 as open data.

3 Reference Data

SOURCES: - HR satellite images - Aerial orthophotos

RESOLUTION: - 5 m

FORMAT: - Vector (Shape File)

REFERENCE SYSTEMS: - Roma40/Gauss Boaga - WGS 84/ UTM 32-33 N - ETRS89 /UTM 32-33 N

LEGEND: - Corine Land Cover

Friuli Venezia Giulia Land Cover 2000 - 1:25’000

Veneto Land Cover 2007/2009 - 1:10’000

Emilia Romagna Land Cover 2003 - 1:10’000 Land Cover 2008 - 1:10’000

Sardegna Land Cover 1997/2000 - 1:25’000 Land Cover 2003/2006 - 1:25’000

Liguria Land Cover 2000 - 1:10’000 Land Cover 2012 - 1:10’000

Lombardia Land Cover 1999/2000 - 1:10’000 Land Cover 2012 - 1:10’000

Autonomous Province of Bolzano Land Cover 2000 - 1:10’000

Autonomous Province of Trento Land Cover 2000 - 1:10’000

Abruzzo Land Cover 1997- 1:25’000

4 Accuracy Analysis

A B C D

A fAA fAB fAC fAD fA+

B fBA fBB fBC fBD fB+

C fCA fCB fCC fCD fC+

D fDA fDB fDC fDD fD+

f+A f+B f+C f+D n

CLA

SSIF

ICA

TIO

N

f+i = marginal sum of column i (i = A, B, C, D)

fi+ = marginal sum of row i (i = A, B, C, D)

n = total number of cells

CONFUSION MATRIX

GROUND TRUTH (REFERENCE)

The comparison can be performed through a pixel-by-pixel procedure that allows to obtain the confusion or error matrix.

𝑶𝑨 = 𝑓𝑖𝑖𝑛

5 Accuracy Analysis

A B C D

A fAA fAB fAC fAD fA+

B fBA fBB fBC fBD fB+

C fCA fCB fCC fCD fC+

D fDA fDB fDC fDD fD+

f+A f+B f+C f+D n

CLA

SSIF

ICA

TIO

N

CONFUSION MATRIX DERIVED STATISTICS

(i = A, B, C, D)

Overall accuracy: percentage of correctly classified pixels

GROUND TRUTH (REFERENCE)

The comparison can be performed through a pixel-by-pixel procedure that allows to obtain the confusion or error matrix.

6 GRASS GIS-Based procedure


RASTERIZATION

REGION

v.to.rast

• 5 m • 30 m

Vector Raster 30 m Raster 5 m


CODE CORINE LEGEND GLOBELAND30 LEGEND

1 Artificial surfaces Artificial cover

2 Agricultural areas Croplands

3 Forests and semi natural areas Forest, Grass, Shrub, Bare land, Permanent ice or

snow

4 Wetlands Wetlands

5 Water bodies Water

RASTERIZATION

REGION

RE-CLASSIFICATION

r.reclass

v.to.rast

GL30 GL30

RE-CLASSIFICATION

r.reclass

• I scheme • II scheme


• 5 m • 30 m

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RASTERIZATION

REGION

RE-CLASSIFICATION

GL30 GL30

RE-CLASSIFICATION

CODE CORINE LEGEND GLOBELAND30 LEGEND

1 Artificial surfaces Artificial cover

2 Agricultural areas Croplands

31 Forests Forests

32 Scrub and/or herbaceous vegetation

associations Grass, shrub

330 Open spaces with little or no vegetation Bare land

335 Glaciers and perpetual snow Permanent ice or snow

4 Wetlands Wetlands

5 Water bodies Water

r.reclass

r.reclass v.to.rast

GRASS GIS-Based procedure



• 5 m • 30 m

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GL30

r.kappa

COMPARISON

RASTERIZATION

REGION

RE-CLASSIFICATION

r.reclass

v.to.rast

GL30 GL30

RE-CLASSIFICATION

r.reclass




• 5 m • 30 m

LOMBARDIA LAND COVER GLOBELAND30

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GL30

r.kappa

COMPARISON

RASTERIZATION

REGION

RE-CLASSIFICATION

r.reclass

v.to.rast

GL30 GL30

RE-CLASSIFICATION

r.reclass

COMPARISON

r.kappa

BUFFER

r.buffer




• 5 m • 30 m

LOMBARDIA LAND COVER GLOBELAND30

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r.patch

TILES MERGING

REPROJECTION

REGION

RASTERIZATION

v.to.rast

v.proj

GL30 GL30

REPROJECTION

r.proj

COMPARISON

RASTER EDITING

r.mapcalc r.mapcalc

RASTER EDITING

RE-CLASSIFICATION

r.reclass

RE-CLASSIFICATION

r.reclass r.kappa

COMPARISON RE-CLASSIFICATION

r.reclass r.kappa


• 5 m • 30 m



13 Results & further research

OVERALL ACCURACY VALUES RANGE (30 m DATASETS)

• Develop a geo-platform to involve citizens in the improvement of the land cover classification quality

• Complete the analysis on the remaining Italian regions

I schema, buffer I schema, no buffer II schema, no buffer II schema, buffer

OA

[%

]

100

90

80

70

60

Web-based spatial information systems in the water domain

Maria Antonia Brovelli, Carolina Arias Muñoz, Simone Corti

Politecnico di Milano, DICA – Hydroinformatics Lab at Como Campus

Geomatics and Water

Publish

Discover

UseStorage Acc

ess

Dat

a

Interoperability!!

Water Spatial Data Infrastructure SDI

Hydrology

(RFC Basins,

NHDPlus Catchments)

Hydraulics

(National Flood Hazard Layer,

Flood Inundation Map Libraries)

Geospatial

Temporal

Time Series

(WaterML2 and .csv) Multidimensional Arrays

(WCS and netCDF)

Slide source: David Maidment

Water Spatial Data : water data framework

WPS

Data

Time Series

Geospatial

Multidimensional arrays

Observations

Processed

Data

WMSWCS SOSWFS

Web service = Any software which makes itself

available over the internet and uses a standard XML

(eXtensible Markup Language)

messaging system

*Hydrological Models

Geospatial Web Services for Water

Hydraulics

FOSS Software for a Water SDI

Server Side Client Side

….. …..

FOSS Software for a Water SDI

Ongoing Projects

POLIRISPOSTA

Objective

To build a model, tools and advanced technology solutions for the collection, mapping and

evaluation of post-flood damage data, that will be useful for all organizations involved in

risk management, specially the Civil Protection.

Workgroup

Departments involved: DASTU, DICA, DEIB

Coordinator: Francesco Ballio

Risk Assessment: Francesco Ballio, Scira Menoni, Daniela Molinari, Funda Atun, Guido

Minucci

GIS: Maria Brovelli, Carolina Arias

ICT: Mirjana Mazuran, Danilo Ardagna

Begin – End

Date

September 2013 – October 2015

Main expected

results

Methodology and operative steps for the reconstruction of the flood event aftermath ( ex-

post)

Standard procedure to collect flood damage data on the field

Web GIS for the visualization and analysis of geospatial data ( for experts and non experts)

stRumentI per la protezione civile a Supporto delle POpolazioni nel poST Alluvione.(Tools for Civil Protection to support the community affected by floods on the post event)

Ongoing Projects

Ongoing Projects

IMMR Geoportal

Objective

The IMRR project aims at developing and promoting strategies for the sustainable

management of the Red-Thai Binh Rivers System in Vietnam through coordinated

decision-making and negotiation, supported by modelling and optimization tools and

through capacity building of local authorities in the water sector.

The geoportal allows to visualize, analyse and compare different planning alternatives

for the management of the Red River water system in Vietnam, as a result of the Multi

Criteria Decision Analysis methodology applied in the IMRR project

Workgroup

Departments involved: DICA, DEIB

WebGIS Component: Carolina Arias, Maria Brovelli, Simone Corti

Domain experts: Marco Micotti, Rodolfo Soncini-Sessa, and Enrico Weber

Begin – End Date December 2013 – January 2015

Main expected

results

Methodology and operative steps for the reconstruction of the flood event aftermath (

ex- post)

Standard procedure to collect flood damage data on the field

Web GIS for the visualization and analysis of geospatial data ( for experts and non

experts)

A FOSS based webGIS for supporting Integrated and sustainable water Management of Red-Thai Binh Rivers System in changing climate - IMRR -

Ongoing Projects

Geomatics LaboratoryComo Campus

Experiences in VGI and citizen science projects

Politecnico di Milano, DICA – Geomatics Laboratory at Como Campus

Maria Antonia Brovelli, Marco Minghini, Giorgio Zamboni

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✔ Set of practices in which citizens participate in data collection, analysis and dissemination of a scientific project

✔ Active or passive

✔ Explicit or implicit

✔ Classification (Haklay 2013)

Citizen science

✗ volunteered computing: citizens download data, run analyses on their own

computers and send back data to the server

✗ volunteered thinking: citizens perform classification works

✗ participatory sensing: applications centered on mobile phones capabilities

➔ 'classic' citizen science: amateurs engaged in traditional scientific activities

➔ community science: measurements and analysis carried out by amateurs in order to set action plans to deal with environmental problems

➔ citizen cyberscience: use of computers, GPS receivers and mobile phones

GEO Laboratory, Politecnico di Milano – Como Campus

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✔ Set of practices in which citizens participate in data collection, analysis and dissemination of a scientific project

✔ Active or passive

✔ Explicit or implicit

✔ Classification (Haklay 2013)

Citizen science – Our experience

➔ 'classic' citizen science: amateurs engaged in traditional scientific activities

➔ community science: measurements and analysis carried out by amateurs in order to set action plans to deal with environmental problems

➔ citizen cyberscience: use of computers, GPS receivers and mobile phones

✗ volunteered computing: citizens download data, run analyses on their own

computers and send back data to the server

✗ volunteered thinking: citizens perform classification works

✗ participatory sensing: applications centered on mobile phones capabilities


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➔ field-data collection from mobile devices➔ data access and interaction based on user privileges➔ data Web publication and sharing➔ data access through multi-dimensional (2D and 3D) Web interfaces➔ data participative enrichment

✔ To build an architecture for participatory sensing applications enabling:

Our purpose

✔ To use FOSS4G (Free and Open Source Software for Geospatial)


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Participatory sensing FOSS architecture


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Report of road pavement damages

➔ classification of the type of damage and its severity degree➔ open to everyone, advertised through the media (TV and newspapers)

✔ Report of road pavement damages, winter 2012-13


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Report of architectural barriers

➔ physical obstacles for the mobility of people (stairs, ramps, pathways)➔ verification of the compliance with the current Italian legislation➔ performed by students within a collaboration action with a local high school

✔ Report of architectural barriers, fall 2013


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Report of architectural barriers


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Mapping street furniture elements

➔ benches, litter bins, waste bells, fountains➔ performed by students within a collaboration action with a local high school

✔ Report of street furniture elements, spring 2014


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Mapping elements along cultural paths

✔ Map parties within INTERREG project “The paths of Via Regina”, ongoing

SVIZZERA


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➔ user report of points of interest related to history, culture, tourism and other services along the paths connected to the ancient Via Regina

➔ one-day events (jointly organized with a cultural association of hikers) which target local communities and are advertised ad hoc

✔ Map parties within INTERREG project “The paths of Via Regina”, ongoing


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Comparison OSM/authoritative road datasets


➔ evaluation of spatial accuracy and completeness➔ user-driven procedure (e.g. by entering parameters value)

✔ GRASS-based automated procedure to compare road network datasets from OpenStreetMap (OSM) and authoritative data sources:

GEO LaboratoryComo Campus

Multidimensional web mapping NASA World Wind examples

Politecnico di Milano, DICA – GEO Laboratory at Como Campus

Maria Antonia Brovelli and Giorgio Zamboni

2Multi-Dimensional Map Clients

✔ Currently the most of the Internet viewers are bi-dimensional (horizontal).

✔ Virtual globe: a 3D representation of the EarthAdvantages:

– more immersive effects – intuitive interactions– ability to freely move around in the virtual

environment by changing the viewing angle and location

– capability of representing many different views on the surface of the Earth

3NASA World Wind SDK

✔ SDK (Software Development Kit)✔ Virtual Globe ✔ NASA Open Source Agreement License✔ Multi-Platform (Java: “Write Once, Run AnyWhere”)✔ JOGL (Java OpenGL 3D - Engine)✔ V1.5 (JOGL 1), v2.0.0 (JOGL2), and nightly builds✔ Web: http://goworldwind.org

foss4g in europe; italy and the politecnico de milano

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