Dr. Jari Silander, Finnish Environment Institute&

The MMEA Team

Final seminar, November 26th, 2015

OPEN DATA – PART 1.

CITIZEN DEMAND

BUSINESS

MMEA framework services

MMEAData service

Adapter Adapter Adapter Adapter Adapter

MMEAData service

MMEAData service

MMEAData service

MMEAData service

Data sources, sensors, models, processing

Catalogue services, metadata, data quality info

Tools for interoperability, common interfaces

End-user needs

End-user servicedevelopment

End-userservices

Developer Develops

OPEN DATA

• NEW DATA SOURCES• QUALITY ASSURANCE• USE OF DATA• DATA AVAILABILITY• SHARE DATA

Korppoo et.al. (2015) Phosphorus and nitrogen species simulation with the modified VEMALA model at a catchment scale. – MODELLING WATER – NEW DATA

"Development of Vemala model by dividing nutrients into species. The system produces real-time short-term nutrient forecasts for Karjaanjoki using Maasää observations. Forecast and real time simulation data available for MMEA -Testbed."

WHY?- Based on customer people are intrested- Nitrogen (N) and phosphorus (P) both limiting the phytoplankton

growth- Model now desribes also NO3 ja PO4

NEW OPEN DATA SOURCES

Norg

Norg NO3

Norg, NO3 Norg, NO3

Sedim. /resusp. Mineralisaatio (NH4)

Mineralisaatio (NH4)

Assimilaatio

Denit.

N2

Metsämäki, S. (2015) Introduction to GlobSnow Snow Extent products with considerations for accuracy assessment. – SATELLITE QUALITY CONTROL Koskiaho (2015) Suspended solids and total phosphorus loads and their spatial differences in a lake-rich river basin as determined by automatic monitoring network. – AUTOMATIC STATIONS – QUALITY CONTROL

Näykki, T. (2014). Novel Tools for Water Quality Monitoring – From Field to Laboratory. PhD. Thesis. – CITIZEN SENSORS & SENSORS – QUALITY CONTROL

MORE INFORMATION: http://www.syke.fi/fi-fi/tutkimus__kehittaminen/Ymparistotiedon_tuotanto

National environment monitoring changes:a) In 1.1.2016 field work of the regional environment centers was outsourced.b) In 2017 new data and satellite products are launched in the MONITOR2020 project called ENVIBASE (7,3 Me)

WHY?- In order to combine multiple data source we have to uncertainty- To decided where to invest the uncertainty component are good to

know

OPEN DATA QUALITY

SFSC2 ( ρobs (FSC ) , t2 )=( 𝜕 (FSC )

𝜕 ρobs (FSC ))2

Sobs2 +( 𝜕(FSC )

𝜕 t 2 )2

S t22+(𝜕(FSC )

𝜕 ρsnow )2

Ssnow2 +( 𝜕(FSC )

𝜕 ρforest )2

S forest2 +(𝜕(FSC )

𝜕 ρground )2

Sground2

Kovanen (2015). An Open-Source based System for Near-Real Time Sea Flood Extent Web Maps for the Southern Coast of Finland. VISUALISATION

Multimäki et. al. (2015). Combining Two Datasets into a Single Map Animation.

OPEN DATA VISUALIZATION

7

http://mmea.fi/cases/weather-radar-sadetutka

Kolehmainen (2013). Predicting Complex Events in Sensor Data. MsC thesis. QUALITY CONTROL

Aalto (2012). Scalability of Complex Event Processing as a part of a distributed Enterprise Service Bus. MsC. Thesis.

"Complex event processing (CEP) is an emerging technology. Complex event processing (CEP) analyzes data streams and detects complicatedsituations in real-time.”

WHY?- emerging technology, helps to find data patterns- scalable, can combine various types of data- can use multiple data streams

OPEN DATA USAGE

RESULT: “With two variables, CO2 and VOC (volatile organic compounds), the first, distance-based model performs better with correct alarm rate of over 75 % and false alarm rate of under 10 %.

Kovanen et.al (2015) An Open-Source based System for Near-Real Time Sea Flood Extent Web Maps for the Southern Coast of Finland.

Virtanen et. al (2014) Open source programme “Mittausepävarmuusohjelmisto (MUkit). http://www.syke.fi/fi-fi/Palvelut/Kalibrointipalvelut_ja_sopimuslaboratorio/MUkit_mittausepavarmuusohjelma

“Open data is easy to access anywhere and anytimeeven with a new EXCEL”

WHY?- reduce implementation time and cost &- increase product value/functionality

OPEN DATA AVAILABILITY

Data management: http://ckan.orgData sharing: http://www.odata.org/Open data: www.avoindata.fi & www.okfn.org

http://pivetodatademo.appspot.com/gv3/

CROWD SOURCING – PART 2.

HYDROLOGICAL

ICE BREKA UPS1693

WEATHER JEFFERSON

USA1776

BIRDS~1900

GAME ANIMALS1970’s

BUTTERFLY1999

PLANT ENEMY~2000

LAKEWIKI2011

SENSOR2013

LAKE Järvi-MeriWiki

2014

PAPER COMPUTER WWW MOBILE IoT

MEGATRENDS:URBANIZATION DIGITALSATION GLOBALISATION

MOTIVATION:SAFETY SELFACTUALIZATION SOCIAL

SIZE:1k 10k 100k

Kettunen, Silander et. al. (2015). European handbook of crowdsourced geographic information (chapter).

Kovirta et.al (2015) Citizen science for earth observation: Applications in environmental monitoring and disaster response

Rönkä, Huitu et. al (2014). Environmental technology in the sustainable use of agricultural ecosystem services: the relevance of farmers' mental models.

Apps (4 or more): 1. Viljavahti – farmers 2. Levävahti – lake people monitoring and sensing 3. My Environment - data sources via smart ontologies 4. Vieraslaji vahti – for invasive species

What motivates people?Usability of tools? Quality off sensors?How much people are readyto pay (WTP)?

KNOW YOUR CUSTOMER

Download MMEA product now: https://play.google.com/store/apps/details?id=fi.vtt.levavahti

CHECK DATA QUALITYObservations: 274 pc, for comparison 127 pcProfessional: (A & B, 46 images)

Comparison: 0 algae & 1 no algea (A = B ~0,97; A ja B = citizen ~0,9)Classification: 0, 1, 2, 3 (A=B ~0,56; A = citizen ~0,67; B = citizen ~0,14)

2011 2013 2015

SERVICE FOR PEOPLEDISSERTATIONES CHIMICAE UNIVERSITATIS TARTUENSIS 140 TEEMU NÄYKKI Novel Tools for Water Quality Monitoring – From Field to Laboratory

TODAYS SITUATION IN THE LOBBY!

Järviwiki (Lakewiki) is a web service which is built and maintained in cooperation by authorities and common people. Open data from of each Finnish lake over 1 ha. Levävahti is part of the service (2014 Secchi service was operational and demonstrated for people from Tajikistan).

2x growth rate of mobile devices

>50 000 weekly visitors

FOCUS OPEN STANDARS, TOOLS AND SDK’sHAPPY CUSTOMER PAYS YOUR BILLSKEEP SERVICE SIMPLE