4. PROBA-V MEP OVERVIEW
https://proba-v-mep.esa.int/
06 September 20175
Request Virtual Machine
Time Series Viewer
Geo Viewer
N-daily Compositor
Spot-VGT Proba-V
Copernicus Global LandJupyter Notebooks
Sentinel-2/3
High-resolution
Vegetation parameters
Belgian Coll
Ground Segment
Develop Operate Support users
5. 06 September 20176
MEP user groupsMEP application flexibility
#
Users
Flexibili
ty
Viewers,
Information
Dashboards
Notebooks, On-
demand
Processing
Virtual Research
Environment, API’s
Any user
EO data Expert
Developers
DIVERSE USERS & APPLICATIONS
FULL RESOLUTION VIEWINGTIME SERIES VIEWING
OGC standards based Web services
6. Time Series Viewer features
Courntries and regions (GAUL-1)
pixel & polygon support – on-the-fly!
Aggregate pixels per Land Cover type
Data supported
Proba-V & SPOT-VEGETATION
Copernicus Global Land vegetation products
Rainfall
Web service support (RESTful)
TIME SERIES VIEWER
6 September, 20177
7. TIME SERIES VIEWER – WEB SERVICE ENDPOINT
6 September, 20178
https://proba-v-mep.esa.int/api/timeseries/v1.0/ts/PROBAV_L3_S10_TOC_NDVI_333M/point?lat=50&lon=4
8. 06 September 20179
MEP user groupsMEP application flexibility
#
Users
Flexibili
ty
Viewers,
Information
Dashboards
Notebooks, On-
demand
Processing
Virtual Research
Environment, API’s
Any user
EO data Expert
Developers
DIVERSE USERS & APPLICATIONS
FULL RESOLUTION VIEWINGTIME SERIES VIEWINGPRE-DEFINED ON-DEMAND
PROCESSING SERVICE
VIRTUAL
RESEARCH ENVIRONMENT
9. JUPYTER NOTEBOOKS
Notebooks record & distribute ‘reproducible’ research
Interactive Data Analysis with python & R
6 September, 201711
INTERACTIVE NOTEBOOKS
10. SAMPLE NOTEBOOKS …
6 September, 201712
Register & request a VM /
Notebooks access for free!
https://proba-v-mep.esa.int
11. www.
INVESTMENTS IN DATA ACCESS @ VITO
Copernicus
Global Land
Proba-V
SPOT-VEGETATION
….
land.copernicus.eu/global/access
www.vito-eodata.be
Service/Project Web front-ends
Private Cloud
User VMsUser VMsUser VMs
User VMsUser VMsMEP Applications
Scalable processing and data
analytics platform [Hadoop]
YARN
Oozie
Geotrellis
Spark Accumulo MR-2
VITO Product Distribution Facility
catalogue
Ordering &
Subscription
User Mgt
Product
customisations
OpenSearch&
dataaccessAPI
(python)
WMTS
WCS
Data / Time Series analytics
(RESTful)
On-demand processing (WPS)
***
Python–R–Webservices
12. NextGEOSS Objectives
2. Deliver the next generation data hub
and Earth Observation exploitation for innovation and business
1. Engage communities
promoting innovative GEOSS powered applications from Europe
3. Advocate GEOSS as a sustainable European approach
for Earth Observation data distribution and exploitation
NextGEOSS
Next generation centralised hub for Earth Observation data and processing
The European contribution to GEO - 10M€, 27 partners, 3.5 years
Next GEOSS Concept
• Provides access to data to the European users communities, together with Cloud resources, seamlessly connected to
provide an integrated ecosystem for supporting applications
• Strong emphasis on engaging the communities of European providers and users
13. 1
2
3
4
5 6
7
DataHub harvest and
register data, providing links
to original sources
1
Discovery Enablers
empower search on
DataHub from users
2
Access Enablers allow
community hubs to create
data buckets for access
3
Enhanced distributed
gateway from research and
operational infrastructures
4
Processing Enablers allow
community hubs to deploy
distributed ICT technologies
5
Publishing Appliances
deliver to the community
hubs processed results
6
Community Portals register
selected products and
services to GEOSS
7
19. WatchITgrow® for the future of the Belgian potato chain
Monitoring potatoes from space!
» Crop development
» Field heterogeneity
» Risk at production and quality
losses
» Yield forecasts
For all actors in the potato chain:
- Get access to satellite images, weather data, yield forecasts
- Store your own field data (e.g. treatments, yield samples,…)
www.watchitgrow.be
20. Weather info
» Country wide weather info on a weekly
basis:
» Average temperature
» Precipitation sum
“deviation with average”
→ risk at production
or quality losses?
www.watchitgrow.be
21. Satellite images
» Sentinel-2:
» 10m pixels
» Since August 2015
» Every 10 and soon every 5 days
» DMC/Deimos:
» 22m pixels
» since 2009
» Every 2 days
→ monitor & compare fields
22. Monitor your fields throughout the season
Emergence →
Senescence →
1 May
2016
8 May 2016 28 May 2016 6 June 2016 10 July 2016 9 Aug 2016
26 Aug 2016 15 Sept
2016
20 July 2016
5 Sept 2016 8 Sept 2016 25 Sept
2016
28 Sept
2016
5 Oct 2016
Greenness
index
www.watchitgrow.be
23. WatchITgrow® features
Presentation ‘WatchItGrow’
Thursday @ 14h45, Room Rome
‘Use and potential of INSPIRE for the development of indicators’
Sentinel-2 of 20 Aug 2016
Greenness
index
Field Heterogeneity
Yield Forecast
Sentinel-2 of 20 July 2016 (10m)
Field Anomalies
Compare Fields
Start Monitoring Your Fields
24. Thank you …
Erwin Goor – VITO - Belgium
erwin.goor@vito.be
+32 493 514274
Proba-V MEP
Register & request a VM /
Notebooks access for free!
https://proba-v-mep.esa.int
Presentation ‘WatchItGrow’
Thursday @ 14h45, Room Rome
‘Use and potential of INSPIRE for the development of indicators’
WatchItGrow
https://watchitgrow.be
Notas del editor
Land Data Connectors
SPOT-VEGETATION: Daily global coverage of land at 1Km of spatial resolution.
PROBA-V: Daily global coverage of land at 300m resolution and every 5 days global coverage at 100m.
Copernicus Global Land Service: offers a global systematic monitoring service providing near real time bio geophysical parameters at global scale on vegetation state and dynamics and on land cover change.
On-demand derived vegetation products from Sentinel-2 or other HR sensors.
STAC database containing in-situ measurements: a wide variety of variables measured on the ground e.g. phenological stages, leaf area index, harvest yields, vegetation parameters, soil characteristics.
Atmosphere Data Connectors
The main data sources for Atmospheric data to be considered are from the Observing System Analysis and Review Tool (OSCAR) and the Global Atmosphere Watch Station Information System (GAWSIS). Both of these systems are operated by MeteoSwiss and they will be evolved to support the implementation of an ISO 19115/19156 compliant API for data access. The data connector will access these systems through an OGC OpenSearch interface to retrieve the metadata in a format compliant with the Catalogue (INSPIRE).
Marine Data Connectors
The main sources of marine data are CMEMS, MANIDA, Emodnet, OPEC and SeaDataNet and they provide INSPIRE compliant data accessible through OGC CSW interfaces. Both of these standards are natively supported by the harvesting engine.
Citizen Observatories
The data harvester will retrieve data from several European citizen observatories that were initiated by several EC funded projects (e.g. CITISENSE, WeSenseIt, Cobweb, CitClops, Omniscientis). The data for these projects are available through OGC WFS, OGC SOS interfaces following SensorML and WaterML formats.
Commercial Providers
The commercial data is organized in the Copernicus Data Warehouse, as part of the Copernicus Space Component Data Access system (CSCDA). Therein, data from the Copernicus contributing missions (mostly licenced by commercial distributors) is purchased by ESA to serve the needs of the Copernicus Core Services and other Copernicus users. The HMA (Heterogeneous Missions Accessibility) standard (partly also standardized by OGC) allows access to the catalogs of most European EO missions, especially those of commercial providers, such as DMI. The data harvester will deploy a mechanisms which implements the HMA standardization for data access supporting not only the current commercial data available in GSCDA but also new coming from negotiations with data providers.
