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INSPIREd computing
for EO Based Services

Paolo MANUNTA1, Giulio CERIOLA1,
Jens STUTTE1
Planetek Italia s.r.l ∙ Via Massaua 12 ∙ I-70132 Bari

1

E-Mail: manunta@planetek.it
Workshop Big Data
Roma, 26/11/2013
INSPIRE is many things:
• Yet another Directive of the European Union?
• An instrument of standardization of geospatial metadata
• The attempt to define “reference themes and layers” at
pan-European level
• The standardization of 34 geospatial “Data Themes”
• An obligation of the member states to make accessible their
geospatial data through INSPIRE services
• An example of “Big Data” in the wild
• Many other …

But from a final user perspective, what should it be?
INSPIRE as a «one-stop-shop» for
geospatial data
• Whilst INSPIRE is based on the infrastructures of the Member
States, the INSPIRE Directive also requires that:

• “The Commission shall establish and operate an INSPIRE
geo-portal at Community level”.
• In addition Article 15(2) of the Directive requires:

• “Member States shall provide access to the services
referred to in Article 11(1) through the INSPIRE geoportal referred to in paragraph 1. Member States may also
provide access to those services through their own access
points.”
For EO folks: INSPIRE as a «onestop-shop» for
• Cross-border

ancillary data

(from all member states)

• Cross-language (thesaurus enabled searches)
• Cross-domain

(34 data themes)

• Cross-scale

(from global to very local)

• Cross-time

(huge amount of historical data)
Operational workflow
EO Big Data (L0,L1)
EO Big Data (L0,L1)
ESA
ESA
ASI
ASI
...
...

Single sensor
Single sensor
processing systems
processing systems
Basic and aggregated
Basic and aggregated
products (L2, L3)
products (L2, L3)

Non EO data
Non EO data

Local/National
Local/National
Pan-European
Pan-European

Advanced processing
Advanced processing
Multi sensor
Multi sensor
Data fusion
Data fusion

Big Repositories
Big Repositories
INSPIRE
INSPIRE

System for elaborating EO and non EO data

Added value
Added value
products (L3+)
products (L3+)

• Data fusion and change detection
algorithms
• Direct access to EO Big Data
• Exploitation of INSPIRE

Direct answer to end
Direct answer to end
user requirements
user requirements
Example Use Case
Flooding event occurred in Sardinia
Big Data & INSPIREd approach
o

EO Input:

o

SAR scene acquired after the event
Present case
SAR scenes from a same sensor before and after the event, for more sensors (e.g. TSX,
EO Input:Sentinel-1)
CSK,
- one TSX scene before and after the event (e.g. Sentinel-2, Landsat8, RapidEye)
– Optical scenes acquired after the event provided for free*
- COSMO scenes INSPIRE (themes):
Ancillary data fromacquired during and after the event**

o
o


–
–

Non-EO Input: DEM, road network
– Elevation

– Administrative units
Product: map flooded areas (at the timing of acquisition), provided to the
– Transport networks
Sardinia Region authorities
– Buildings
** –
Data Production and industrial facilities
being provided
* Astrium courtesy



Products provided to the Sardinia Region authorities:
–
–
–

map of flooded areas (at the timing of acquisition)
map of damaged areas
classification of damage level/type
Example Use Case - INSPIREd
Theme: Elevation
Use: Remove reliefs’ shadows
An accurate DEM allows to define slope and
aspect of the territory vs. SAR sensor view
SAR sensors’ looking direction
Mountain side facing the SAR sensors
Mountain side shadowed to the SAR sensor

Theme: Land Cover
Use: Reduce errors
Water detected (left image) -> from a
Land Cover map the area is composed of
trees and rock (as confirmed in left
image using Bing). So water pounds are
very unlikely there
Example Use Case - INSPIREd
Theme: Land use
Use: remove false detection

Airport landing area appears very similar to water on a SAR image (left),
leading often to errors (middle).
Reliable land use map (right) allows to remove or highlight such areas
Example Use Case - INSPIREd

Theme: Cadastral Parcels
Theme: Buildings
Theme: Production and industrial
facilities
Use: classification of damage
level/type

Flooded area along a river
- Mainly cultivated fields
- Small houses
- Rural facilities
- Nearby city area
Challenges of «INSPIREd
computing for EO based services»
• Integration into an EO production workflow – exploit
backoffice interfaces (CSW) of the geoportal?
• Integration with ESA catalogues (EOLI/ngEO) – in
order to become a real “one-stop shop” for EO workers
• Integration of heterogeneous authentication systems –
go Open Data ?
• Establishment of a feedback loop to INSPIRE of
relevant products
Thank you!
Paolo Manunta
Planetek Italia s.r.l.
Via Massaua 12
I-70132 Bari
manunta @planetek.it

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INSPIREd computing for EO Based Services

  • 1. INSPIREd computing for EO Based Services Paolo MANUNTA1, Giulio CERIOLA1, Jens STUTTE1 Planetek Italia s.r.l ∙ Via Massaua 12 ∙ I-70132 Bari 1 E-Mail: manunta@planetek.it Workshop Big Data Roma, 26/11/2013
  • 2. INSPIRE is many things: • Yet another Directive of the European Union? • An instrument of standardization of geospatial metadata • The attempt to define “reference themes and layers” at pan-European level • The standardization of 34 geospatial “Data Themes” • An obligation of the member states to make accessible their geospatial data through INSPIRE services • An example of “Big Data” in the wild • Many other … But from a final user perspective, what should it be?
  • 3. INSPIRE as a «one-stop-shop» for geospatial data • Whilst INSPIRE is based on the infrastructures of the Member States, the INSPIRE Directive also requires that: • “The Commission shall establish and operate an INSPIRE geo-portal at Community level”. • In addition Article 15(2) of the Directive requires: • “Member States shall provide access to the services referred to in Article 11(1) through the INSPIRE geoportal referred to in paragraph 1. Member States may also provide access to those services through their own access points.”
  • 4. For EO folks: INSPIRE as a «onestop-shop» for • Cross-border ancillary data (from all member states) • Cross-language (thesaurus enabled searches) • Cross-domain (34 data themes) • Cross-scale (from global to very local) • Cross-time (huge amount of historical data)
  • 5.
  • 6. Operational workflow EO Big Data (L0,L1) EO Big Data (L0,L1) ESA ESA ASI ASI ... ... Single sensor Single sensor processing systems processing systems Basic and aggregated Basic and aggregated products (L2, L3) products (L2, L3) Non EO data Non EO data Local/National Local/National Pan-European Pan-European Advanced processing Advanced processing Multi sensor Multi sensor Data fusion Data fusion Big Repositories Big Repositories INSPIRE INSPIRE System for elaborating EO and non EO data Added value Added value products (L3+) products (L3+) • Data fusion and change detection algorithms • Direct access to EO Big Data • Exploitation of INSPIRE Direct answer to end Direct answer to end user requirements user requirements
  • 7. Example Use Case Flooding event occurred in Sardinia Big Data & INSPIREd approach o EO Input: o SAR scene acquired after the event Present case SAR scenes from a same sensor before and after the event, for more sensors (e.g. TSX, EO Input:Sentinel-1) CSK, - one TSX scene before and after the event (e.g. Sentinel-2, Landsat8, RapidEye) – Optical scenes acquired after the event provided for free* - COSMO scenes INSPIRE (themes): Ancillary data fromacquired during and after the event** o o  – – Non-EO Input: DEM, road network – Elevation – Administrative units Product: map flooded areas (at the timing of acquisition), provided to the – Transport networks Sardinia Region authorities – Buildings ** – Data Production and industrial facilities being provided * Astrium courtesy  Products provided to the Sardinia Region authorities: – – – map of flooded areas (at the timing of acquisition) map of damaged areas classification of damage level/type
  • 8. Example Use Case - INSPIREd Theme: Elevation Use: Remove reliefs’ shadows An accurate DEM allows to define slope and aspect of the territory vs. SAR sensor view SAR sensors’ looking direction Mountain side facing the SAR sensors Mountain side shadowed to the SAR sensor Theme: Land Cover Use: Reduce errors Water detected (left image) -> from a Land Cover map the area is composed of trees and rock (as confirmed in left image using Bing). So water pounds are very unlikely there
  • 9. Example Use Case - INSPIREd Theme: Land use Use: remove false detection Airport landing area appears very similar to water on a SAR image (left), leading often to errors (middle). Reliable land use map (right) allows to remove or highlight such areas
  • 10. Example Use Case - INSPIREd Theme: Cadastral Parcels Theme: Buildings Theme: Production and industrial facilities Use: classification of damage level/type Flooded area along a river - Mainly cultivated fields - Small houses - Rural facilities - Nearby city area
  • 11. Challenges of «INSPIREd computing for EO based services» • Integration into an EO production workflow – exploit backoffice interfaces (CSW) of the geoportal? • Integration with ESA catalogues (EOLI/ngEO) – in order to become a real “one-stop shop” for EO workers • Integration of heterogeneous authentication systems – go Open Data ? • Establishment of a feedback loop to INSPIRE of relevant products
  • 12. Thank you! Paolo Manunta Planetek Italia s.r.l. Via Massaua 12 I-70132 Bari manunta @planetek.it

Notas del editor

  1. C’è un’animazione
  2. DEM used here: 10m spatial resolution DEM, obtained from a previous work done in this area of interest
  3. Criticity: to find over any area of interest a reliable land use map
  4. Identify products as INSPIRE relevant (34 Themes) Ensure that those have compliant metadata Ensure that those are accessible through INSPIRE infrastructure – often customer’s duty!