Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Agro futuredays geoville

332 views

Published on

David Kolitzus:
Towards a Knowledge Hub on Earth Observation for Agriculture

User Driven Requirements

It’s all about agriculture

Elements of the Knowledge Hub

Community building, connecting the dots

Published in: Environment
  • Be the first to comment

  • Be the first to like this

Agro futuredays geoville

  1. 1. AgroFutureDay Pilsen Pilsen, 25.09.2019 Dr. David Kolitzus, GeoVille This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 821940 www.EO4AGRI.eu Bringing together the knowledge for better Agriculture Monitoring
  2. 2. 2www.eo4agri.eu Agenda 1. Towards a Knowledge Hub on Earth Observation for Agriculture 2. User Driven Requirements 3. It’s all about agriculture 4. Elements of the Knowledge Hub 5. Community building, connecting the dots Towards a Knowledge Hub on Agriculture
  3. 3. 3www.eo4agri.eu Towards a Knowledge Hub on Agriculture EO4Agri enlarges and further systematizes the knowledge about Copernicus for agriculture • Identify User driven requirements and demands • 4 different sectors are considered • AgroFood Industry • Financial Sector • Public Sector • Food and Nutrition Security • Currently around 75 detailed and specific user requirements were identified
  4. 4. 4www.eo4agri.eu User driven requirements • 24 attributes for each user requirements were collected • Systematic understanding of recent and future requirements
  5. 5. 5www.eo4agri.eu User driven requirements • Many uses requirements are shared by various stakeholder groups • Defragmentation of the sector as a higher aim
  6. 6. 6www.eo4agri.eu It’s all about Agriculture • Aim: Match the requirement. Creation on a EO4Agri database with information on • related (scientific) literature • related projects • success storys • (Open Source) software packages • Processing Plattforms • DIAS, GEOSS • AgriApps • Satellite missions and in-situ infrastructure • -> Knowledge Hub on EO for Agriculture
  7. 7. 7www.eo4agri.eu Methodological approach • Visualisation of steps during the process • Desk Work, Engagement steps and Results are considered • Advantages of the method • Domain-agnostic • Work can be split among partners • Validated findings, experts are involved in process • New requirements can be added at any time
  8. 8. 8www.eo4agri.eu Elements of the Knowledge Hub
  9. 9. 9www.eo4agri.eu Elements of the Knowledge Hub
  10. 10. 11www.eo4agri.eu It’s all about Agriculture • Community building • Connecting the dots • Connect to existing initiatives whereever possible • GEO Knowledge hub • EU Science Hub • Open Source Software Library • Sen4Cap database • Storymaps as a possible communication tool • First success story with the GEOGLAM programme • Knowledge Hub will become part of the workprogramme of GEO • Next steps: • 1 hour thematic session at the GEO ministerial summit • Publication of a white paper on „Knowledge Management“
  11. 11. 12www.eo4agri.eu Conclusion • Fragmented domain • Need for Training and connecting different communities • Hackathon and webinars • Workshops • Knowledge Hub part of a community building activity • Supported on various levels • All part of a white paper to impact the development within Copernicus
  12. 12. AgroFutureDay Pilsen Financial Sector – Insurance Companies Pilsen, 25.09.2019 Dr. David Kolitzus, GeoVille This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 821940 www.EO4AGRI.eu Bringing together the knowledge for better Agriculture Monitoring
  13. 13. SPRING 2019 DRY AND WARM ALREADY CAUSING PROBLEMS HIGH LAND TAKE LEADING TO AN INCREASE OF FLOODS AND DROUGHTS €270 MIO. TOTAL LOSS IN 2018 IN AUSTRIA RISK MANAGEMENT MORE IMPORTANT THAN EVER SPRING 2018 €80 MIO. – DROUGHT €30 MIO. – HAIL, FLOODS, ANIMAL PESTS
  14. 14. 15www.eo4agri.eu User requirements in the Financial sector: • Focused on Agri Insurance companies • Best source of information: ESA - EO Best practices for Agroinsuraces (lead by GeoVille) • Involved Stakeholders • Swiss Hail • Hail Austria • Vereinigte Hagel User Requirements in the financial sector – Insurance companie
  15. 15. KEY USERS. Vereinigte Hail Insurance Germany Swiss Hail Insurance Switzerland Austrian Hail Insurance Austria
  16. 16. PROJECT AIM. Guidelines in second project phase Roadmap for guideline development EO capabilities and existing gaps Geoinformation needs of sector
  17. 17. OPPORTUNITIES.
  18. 18. APPROACH. ASV WORKING GROUP CONSOLIDATION MEETING ASV WORKING GROUP PILOT DEMONSTRATION 2 ESA USER WORKSHOPS SUPPORTING USER MEETINGS ESA USER WORKSHOP 2 ASV WORKING GROUP USER EVALUATION ASV WORKING GROUP PILOT DEMONSTRATION 1 ESA USER WORKSHOP 1
  19. 19. 20www.eo4agri.eu User Requirements in the financial sector – Insurance companie
  20. 20. Agro-Insurance - State-of-the- art and insights Swiss Hail Insurance
  21. 21. • meteorological data (measuring station, radar data)  customer service (swissagroindex)  index insurance • drone  loss adjustment • satellite data  intern 22 State-of-the art
  22. 22. 23 swissagroindex - drought severe moderate slight drought
  23. 23. 24 swissagroindex – daily fluctuations in precipitation
  24. 24. 25 Drones Identifying and determining areas affected by storms or flooding.
  25. 25. • vegetation monitoring • biomass estimation • Soil moisture content • loss adjustment 26 Potential/ future applications Challenges • temporal and spatial resolution • missing information
  26. 26. 27 Challenges of EO VEREINIGTE HAGEL Dr. Ingrid Nöhles, Vereinigte Hagelversicherung VVaG (Germany)
  27. 27. 28 Changes in the Agro-Insurance Market From hail to multi-peril crop insurance From national to European crop insurance From analogue to digital crop insurance VEREINIGTE HAGEL – Trend since the year 2000
  28. 28. 29 Quantifying the Changes Insured countries: from 1 to 10 1999 1993 2008 2008 2012 2007 2012 2017 2005
  29. 29. 30 Quantifying the Changes Insured countries: from 1 to 10 Insured crop types: from 50 to 250 field crops wine hop tobacco fruits vegetables special fruits & vegetables
  30. 30. 31 Quantifying the Changes Insured countries: from 1 to 10 Insured crop types: from 50 to 250 Insured risks: from 1 to 5 (and other) traditional loss-insurance hail heavy rain storm frost drought Index
  31. 31. 32 Quantifying the Changes Insured countries: from 1 to 10 Insured crop types: from 50 to 250 Insured risks: from 1 to 5 (and other) Insured farmers: approx. 100.000 farmers  Part-time farmers (< 10 hectares)  Large scale farms (> 500 hectares)
  32. 32. 33 Quantifying the Changes Insured countries: from 1 to 10 Insured crop types: from 50 to 250 Insured risks: from 1 to 5 (and other) Insured farmers: approx. 100.000 farmers  Part-time farmers (< 10 hectares)  Large scale farms (> 500 hectares) Insured fields (only Germany):  1,2 million fields  4,8 million hectares  Ø field size: 4,4 hectares (< 1 ha up to > 200 ha)
  33. 33. 34 With WEB AV® we manage our field and loss declaration, including the geo-referenced field data. WEB-AV® – Annual Web-based field and crop declaration
  34. 34. 36 UAS – Support in the Assessment of Losses Gaining an overview  saving time Estimating / calculating sub-areas  improving accuracy
  35. 35. 38 Use of EO Data Why haven’t we used EO data in our insurance business so far? traditional perspective  highly developed crop insurance market  high quality of on-site loss assessment (with EO better, cheaper, faster)  crop insurance means field-based insurance o field boundaries (annual changes due to crop rotation): currently not available for all fields in many countries, e.g. Germany (segmentation tools) o acquisition und administration of geo field boundaries is time-consuming and cost intensive.
  36. 36. 39 Use of EO Data Why haven’t we used EO data in our insurance business so far? insurance perspective  Small, specialized company (focus on selling products and performing loss assessments, no EO or geo experts)  limited budget for training, education and IT infrastructure
  37. 37. 40 Use of EO Data Why haven’t we used EO data in our insurance business so far? agro structure perspective  small fields, different soil types, different topography  different crop types (> 250)  Huge variety of losses (differ in growing stages and insured risks)
  38. 38. 41 Example: Hail Damage in Corn Crops  one single risk, many appearances of losses Dependent on hail intensity and growing stage at the event
  39. 39. 42 Many Risks  Many Loss Appearances hail storm heavy rain drought
  40. 40. 43 Challenges of EO in Agro-insurance High potential in Agro-insurance requirements  knowledge transfer (EO and IT infrastructure)  integration in the crop insurance workflow  high resolution by EO products  time series by EO products  new / better indices and services
  41. 41. Thank you for your attention EO4Agri Team GeoVille Kolitzus@geoville.com www.EO4AGRI.eu This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 821940

×