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Solving advanced research problems
with real time open data from satellites
and in situ in earth observation
Wolfgang Ksoll
Viderum
March 2018
1. TITLE / SUBTITLEAgenda
• The project NextGEOSS
• Overview of the data flow
• The pilot projects
• Examples from agriculture, biodiversity, air pollution, smart cities
The Project NextGEOSS
• EU Programm Horizon 2020
• 27 Partner
• 10 Mio. € Budget
• 2016 – 2020
Earth observation data are provided as open data. In pilot project the application of the data is
shown. Benefits for civil society, state and business are the drivers.
End User
Communities:
Civil Society,
Government,
Business
Extension
SPARQL
Extension
RDF
Zookeeper
Solrcloud
Search
CKAN API
Web
Access/
GUI
Open
Search
Innovative Research:
- Agriculture/
Foresting
- Biodiversity
- Space+Security
- Cold Regions
- Air Pollution
- Disaster Risk
Reduction
Search
Business Cases
Market Study
VCM
Business Innovation/
Sustainability
Benefit Assessment
Sustainability Report
Sustainability
Development Goals of
the UN
Metadata + Tags
Dublin Core
DCAT
GeoDCAT-AP
ITags
Harvesting
Connectors
Providers
1 - Sentinel
2 - GOME-2
3 - Proba-V
4 - CMEMS
…
WP2.2
Open Source Technology – Earth Observation Science – Benefits management - Sustainability
Requirements
Data Flow
Data Sources
Open Data
Copernicus
Sentinel 1-5
Marine
Land
Atmosphere
Citizen
Commercial
Provider
WP3
Resources / Raw Data
Metadata
CKAN Data Hub
Interfaces
Data Discovery Guide Data Ingestion Guide
NIMMbus
User-
feedback
Pilots/Apps/Cloud
Other
Data Cube
Apps.
GEO DAB
Business:
- Territorial
Planning
- Food Security
- Smart Cities
- Energy
- Grid Operating
- Solar Mapping
CKAN Core
WP4+5+6+7
WP8
WP2.1
PILOTS
Innovative
Pilots
Business
Pilots
IP1
Agricultural
Monitoring
IP2
Biodiversity
IP4
Cold Regions
IP5
Air Pollution
in Mega Cities
IP3
Space &
Security
IP6
Disaster Risk
Reduction
BP1
Territorial
Planning
BP2
Food Security
BP4.1/2
Energy*
BP3
Smart Cities
NOA
IP1: Time Series Analysis for Agricultural Monitoring
Pilot Scope
• Scale up Time Series analysis tools to huge amounts of HR EO-data
• SAT EO-data & in-situ data
Pilot Objectives
• Extend Proba-V MEP & Copernicus Global Land Time Series Viewer with Sent-2 derived VGT indices
• REST and/or WPS end-points  WP3
• Extend prototype of Agro STAC (Spatial Temporal Catalogue for Agronomy) from FP-7 SIGMA  towards
operations
• Temporal and attribute accuracy on WM(T)S: guidelines and prototype
Challenges
• Integrate with processing chains & data on public clouds
• Transfer to operations (in-situ)
BP2: Crop Monitoring supporting Food Security
Pilot Scope
• Use of Sentinel-2 for crop monitoring in collaboration with industry
• Data fusion between Proba-V 100 m and Sentinel-2
Pilot Objectives
• Deploy and run HR processing chain for Vegetation Parameters on public cloud: on-demand & subscription
• Develop dynamic dashboard: integration of time series analysis
• Demonstrations & training for users from Agro and Insurance sector
Challenges
• Convenient & scalable processing of large amounts Sentinel-2
• Data analytics
• Data fusion of Proba-V and Sentinel-2
IP2:Biodiversity
Pilot Scope
• Essential Biodiversity Variables (RS-EBVs) for habitat
mapping and monitoring
Pilot Objectives
• demonstrate the value of an European Data Hub for the creation of RS-EBVs, which leads to creating a
GEOhub for EBVs by linking the key policy/user network groups (GEO-BON, CBD and IPBES) with the
space agencies.
• demonstrate the use of the European Data Hub in terms high resolution RS-EBVs for habitat mapping
(distribution, suitability and probability) in order to support the European Environment Agency (EEA)
and its Topic Centre for Biological Diversity (ETC-BD). The integration of EO data with in-situ observations,
vegetation relevés, will play an important role.
Challenges
• Incorporation of several RS-EBVs (e.g. phenology) to improve the distribution mapping of EUNIS habitats.
• How far can we integrate different aspects of the developed habitat modelling method (data & models) into
Cloud Sandbox Solution?
IP5: Air polution, Urban Growth, Health Risks in Megacities
Pilot Scope
• Analysis of air pollution trends, urban growth rates and health risk indicators
for megacities by integrating EO data with the nextGEOSS infrastructure
• New inputs from Sentinel-3, -5P, CAMS, WDC/RSAT
Pilot Objectives
• Develop a multi-sensor approach to analyse air pollution variability in megacities linked to
urban growth rates
• Develop a tool to analyse local trends and health risks using the NextGEOSS infrastructure
• Exploit Copernicus data and servies (Sentinel-3, -5P, CAMS)
• Strengthen the link to the health community
Challenges
• Integrate with Copernicus data hubs and processing chains
BP3: Smart Cities
Pilot Scope
• Pilot based in work developed in ESPRESSO H2020 support action. Smart cities use the ISO 37120 and
we will see how that maps on the SDG for EO, as well as pilot how we can integrate smart city sensors in
the in-situ EO
Pilot Objectives
• Mapping ISO 37120 and SDG, sensor integration in GC
Challenges
• Sensor standards in Smart Cities and standards in in-situ EO
Questions?
Wolfgang Ksoll
ksoll@viderum.de
www.viderum.de
www.nextgeoss.eu
Twitter: @Nextgeoss
Facebook: Nextgeoss
YouTube: Nextgeoss

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Solving advanced research problems with real time open data from satellites and in situ in earth observation

  • 1. Solving advanced research problems with real time open data from satellites and in situ in earth observation Wolfgang Ksoll Viderum March 2018
  • 2. 1. TITLE / SUBTITLEAgenda • The project NextGEOSS • Overview of the data flow • The pilot projects • Examples from agriculture, biodiversity, air pollution, smart cities
  • 3. The Project NextGEOSS • EU Programm Horizon 2020 • 27 Partner • 10 Mio. € Budget • 2016 – 2020 Earth observation data are provided as open data. In pilot project the application of the data is shown. Benefits for civil society, state and business are the drivers.
  • 4. End User Communities: Civil Society, Government, Business Extension SPARQL Extension RDF Zookeeper Solrcloud Search CKAN API Web Access/ GUI Open Search Innovative Research: - Agriculture/ Foresting - Biodiversity - Space+Security - Cold Regions - Air Pollution - Disaster Risk Reduction Search Business Cases Market Study VCM Business Innovation/ Sustainability Benefit Assessment Sustainability Report Sustainability Development Goals of the UN Metadata + Tags Dublin Core DCAT GeoDCAT-AP ITags Harvesting Connectors Providers 1 - Sentinel 2 - GOME-2 3 - Proba-V 4 - CMEMS … WP2.2 Open Source Technology – Earth Observation Science – Benefits management - Sustainability Requirements Data Flow Data Sources Open Data Copernicus Sentinel 1-5 Marine Land Atmosphere Citizen Commercial Provider WP3 Resources / Raw Data Metadata CKAN Data Hub Interfaces Data Discovery Guide Data Ingestion Guide NIMMbus User- feedback Pilots/Apps/Cloud Other Data Cube Apps. GEO DAB Business: - Territorial Planning - Food Security - Smart Cities - Energy - Grid Operating - Solar Mapping CKAN Core WP4+5+6+7 WP8 WP2.1
  • 5. PILOTS Innovative Pilots Business Pilots IP1 Agricultural Monitoring IP2 Biodiversity IP4 Cold Regions IP5 Air Pollution in Mega Cities IP3 Space & Security IP6 Disaster Risk Reduction BP1 Territorial Planning BP2 Food Security BP4.1/2 Energy* BP3 Smart Cities NOA
  • 6. IP1: Time Series Analysis for Agricultural Monitoring Pilot Scope • Scale up Time Series analysis tools to huge amounts of HR EO-data • SAT EO-data & in-situ data Pilot Objectives • Extend Proba-V MEP & Copernicus Global Land Time Series Viewer with Sent-2 derived VGT indices • REST and/or WPS end-points  WP3 • Extend prototype of Agro STAC (Spatial Temporal Catalogue for Agronomy) from FP-7 SIGMA  towards operations • Temporal and attribute accuracy on WM(T)S: guidelines and prototype Challenges • Integrate with processing chains & data on public clouds • Transfer to operations (in-situ)
  • 7. BP2: Crop Monitoring supporting Food Security Pilot Scope • Use of Sentinel-2 for crop monitoring in collaboration with industry • Data fusion between Proba-V 100 m and Sentinel-2 Pilot Objectives • Deploy and run HR processing chain for Vegetation Parameters on public cloud: on-demand & subscription • Develop dynamic dashboard: integration of time series analysis • Demonstrations & training for users from Agro and Insurance sector Challenges • Convenient & scalable processing of large amounts Sentinel-2 • Data analytics • Data fusion of Proba-V and Sentinel-2
  • 8. IP2:Biodiversity Pilot Scope • Essential Biodiversity Variables (RS-EBVs) for habitat mapping and monitoring Pilot Objectives • demonstrate the value of an European Data Hub for the creation of RS-EBVs, which leads to creating a GEOhub for EBVs by linking the key policy/user network groups (GEO-BON, CBD and IPBES) with the space agencies. • demonstrate the use of the European Data Hub in terms high resolution RS-EBVs for habitat mapping (distribution, suitability and probability) in order to support the European Environment Agency (EEA) and its Topic Centre for Biological Diversity (ETC-BD). The integration of EO data with in-situ observations, vegetation relevés, will play an important role. Challenges • Incorporation of several RS-EBVs (e.g. phenology) to improve the distribution mapping of EUNIS habitats. • How far can we integrate different aspects of the developed habitat modelling method (data & models) into Cloud Sandbox Solution?
  • 9. IP5: Air polution, Urban Growth, Health Risks in Megacities Pilot Scope • Analysis of air pollution trends, urban growth rates and health risk indicators for megacities by integrating EO data with the nextGEOSS infrastructure • New inputs from Sentinel-3, -5P, CAMS, WDC/RSAT Pilot Objectives • Develop a multi-sensor approach to analyse air pollution variability in megacities linked to urban growth rates • Develop a tool to analyse local trends and health risks using the NextGEOSS infrastructure • Exploit Copernicus data and servies (Sentinel-3, -5P, CAMS) • Strengthen the link to the health community Challenges • Integrate with Copernicus data hubs and processing chains
  • 10. BP3: Smart Cities Pilot Scope • Pilot based in work developed in ESPRESSO H2020 support action. Smart cities use the ISO 37120 and we will see how that maps on the SDG for EO, as well as pilot how we can integrate smart city sensors in the in-situ EO Pilot Objectives • Mapping ISO 37120 and SDG, sensor integration in GC Challenges • Sensor standards in Smart Cities and standards in in-situ EO