Presentacion_PagusLVIA_Congreso_RIAD

An ontology-based system for
ontologyvisual impact assessment of transport
infrastructures in the landscape
M. Rincón, O. Sánchez, S. Timón, A. Ramírez,
A. Alonso and J.A. Martín-Caro
Martín-

17th IRF World Meeting & Exhibition
Riyadh, November 10 - 14, 2013

!

" #$

visual impact assessment
A. Landscape variable in
environmental impact
assessment studies.
Informative studies.
B. Mitigation measures
Project drafting

C. Landscape restoration works. Specific
projects intervening on theIRF World Meeting & Exhibition
landscape.
17
th


visual impact assessment

EIA-LVIA: Institute of Environmental Assessment, The

Landscape Institute, 2012: Guidelines for landscape and visual
impact assessment. Third edition, (consultation draft).

LCA: Swanwick, C., 2002: Landscape Character Assessment.

Countryside Agency and Scottish natural Heritage.

FHWA VIA: FHWA Office of Environmental Policy, 1988: Visual

Impact Assessment for Highway Projects. US Department of
Transportation.


Landscape description in visual terms
texture

color

line

for
m

landform

manmade

water
Vegetation

Visual landscape analysis and assesment
Visual
quality

Pattern
character

Pattern
elements

Fragility
Environmental impact of
transport infraestructures
Visual impact of
transport infraestructures

Software application for visual impact assessment
Cartography

Images, Photographs
Statistics

merge

Visual impact assessment
Pattern
elements

Visual
character

Pattern
character
Visual
quality

Observer
response

Resource
change

Observer
exposition
Visual
impact

Evaluación del Impacto Visual

17th

Observer
IRF World Meeting & Exhibition
sensibility


System Requirements and Solutions
Requirements

Solutions

• Modularity and decopling of
resources

•

Components are separatedly
implemented (Ontologies, Client,
Server, DB, ...)

• Optimize relation between
latency and computational cost

•

Separate computing from visualization

•
•

GIS Processing -> WPS
GIS Visualización -> web, WMS/WFS

•

Standard formats (XML)

•

State of the art paradigms and UI
Frameworks

• GIS processing and
visualization
• Multi-platform
• User-friendly and agile
interface


Pagus System architecture
Web Client
Server
(Vaadin)

WMS/WFS

OpenLayers
WPS

Movile client

WOS


Pagus System functional modules
• Project management.
• Cartographic data management.
• GIS-based fragility assessment
• Viewpoint visual analysis
• Visual impact assessment


Visual Impact Assessment


Visual Impact Assessment Editor

View Point Selection


Viewpoint in terrain map

Map information
of the selected viewpoint
Viewpoint in Fragility map



Cover edition



Attribute assessment


Category
selection

Pattern
elements

Attribute assessment
Visual
character

Pattern
character
Visual
quality

Resource
change

Observer
exposition
Visual
impact

Observer
response

Observer
sensibility

Element selection:
- line
- form
- color
- texture



Property
Assessment


Easy property assessment
on polar charts using intuitive examples
Concurrence

Continuity

Tilting

Fluency


Case study: Medina-Sidonia by-pass
Medinaby-


Fragility zones


Pattern elements
analysis


Pattern character
analysis


Visual quality
analysis


Pattern elements
difference

Pattern character
difference


Case study: Medina-Sidonia by-pass
MedinabyVisual Quality
Vividness

Visual Quality
Vividness

Elements
Intactness

Elements
Intactness

Character
Unity

Character
Unity


Conclusions and further work (1)
• Pagus is a software tool for assessing the visual impact of a
transport infrastructure (roads, highways, railways, ...).
• Pagus integrates geographic (GIS-based) and visual (images)
information.
• Integrating cutting edge open technologies, Pagus is modular,
agile and user friendly.
• Pagus visual analysis connects with visual characteristics which
are easy to evaluate by non-expert users.

Conclusions and further work (2)
• The future of this pioneering project depends on consolidating
its implantation in consulting companies, integrating it in the
current analysis methodology and assessment and extending
its use in a regional, national and international framework.
• Likewise, the tool needs new funding resources to allow a
second phase where many analysis tasks can be automated
using computer vision and artificial intelligence, this way
improving its performance and facilitating even more the
assessment process.

?

Any question
Contact information

Mariano Rincón (mrincon@dia.uned.es)
paguslvia@gmail.com


Presentacion_PagusLVIA_Congreso_RIAD

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