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Eo4 agri t2.5 food security


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Karel Charvat contributed with following topics:
Policy or international initiatives
What can do EO for Food security
Global monitoring initiatives related to EO
Project focused on local monitoring in developing countries
Nairobi Hackathon conclusion

Published in: Environment
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Eo4 agri t2.5 food security

  1. 1. EO4AGRI Rome meeting (Brussels, 13th June 2019) EO4AGRI – T2.5 Food security Karel Charvat CoO This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No [number] Bringing together the knowledge for better Agriculture Monitoring
  2. 2. Content • Policy or international initiatives • What can do EO for Food security • Global monitoring initiatives related to EO • Project focused on local monitoring in developing countries • Nairobi Hackathon conclusion
  3. 3. What can do EO for Food security • Global food security monitoring • Monitoring in developing countries
  4. 4. Global food security monitoring • Global production monitoring and food security systems for analysis of food crisis • Achieve Food Security and Improved Nutrition and promote Sustainable agriculture • food production will need to increase in a sustainable way by at least 70% by 2030 • maximize high quality agricultural yields under increasingly unstable environmental conditions. • Environmental Monitoring Risks • Agricultural Market Information System
  5. 5. Policy or international initiatives related to EO • African Union Cooperation Arrangement with EU Copernicus • ESA • COPERNICUS services • FAO • GEO/GEOSS • AfriGEOS • GODAN – more focus on national implemenation
  6. 6. AfriGEOSS • Provide the necessary framework to initiate Africa focused mutual activities within the scope of GEO; • Coordinate and bring together stakeholders across Africa to reduce duplication of efforts; • Foster the participation of Africans in GEO by linking GEO activities initiatives in Africa; • Enhance Africa’s capability to access, use and manage EO for informed decision making; • Develop a strategy for accessing and disseminating Earth observation data in Africa. • Contribute to the implementation of the African Space Policy and Strategy; and • Advocate for the uptake of EO in decision making to realize the African aspirations.
  7. 7. AfriGEOSS • User Needs and Applications: Initially focusing on: • Food Security and Agriculture (through AfriGAM); • Sustainable Forest Management; • Water Resource Management (through AfriWRM); • Sustainable Urban Planning and Growth; • Land Cover for Africa (Working Group on Land Cover for Africa) • AfriGEOSS Soil Moisture Mapping and Agricultural Outreach Support Project.
  8. 8. ESA Thematic Exploitation Platform on Food Security (TEP-FS) • The TEP-FS provides services and applications through a user driven online platform. where the full power of Copernicus Sentinel-1 and -2 satellites as well as additional datasets are required.
  9. 9. Copernicus • Copernicus supports the forecasting and identification of food security crises from space. • The Copernicus Land Monitoring Service makes use of satellite data to provide regular geo-spatial information on the state of global vegetation and the water cycle, thereby helping to pinpoint regions of potential food insecurity • Various global biophysical variables related to the status of vegetation and to global energy and water budgets • Global soil properties, such as soil moisture • Near-realtime maps, related to vegetative health, of Africa and South America
  10. 10. GEOGLAM • GEOGLAM has a clear political mandate as it has been launched by the G20 in 2011, together with the Agricultural Market Information System (AMIS). And GEOGLAM has been recently re-endorsed, in June 2016, during the meeting of the G20Ministries of Agriculture, in Xi’an (China). • And a proof that the Crop Monitor for AMIS is delivering what was expected can be found in the decision taken by the AMIS Secretariat in May 2016 to invite GEOGLAM to become its eleventh member, together with institutions such as FAO, World Bank, or OECD.
  11. 11. GEOGLAM Global Strategy
  12. 12. Global Strategy • The initiative to develop the Global Strategy to improve agricultural and rural statistics (GSARS) came as a response to address developing countries’ lack of capacity to provide reliable statistical data on food and agriculture and to provide a blueprint for long-term sustainable agricultural statistical systems.
  13. 13. The Global Information and Early Warning System on Food and Agriculture (GIEWS) • The Global Information and Early Warning System on Food and Agriculture (GIEWS) monitors the condition of major foodcrops across the globe to assess production prospects. To support the analysis and supplement ground-based information, GIEWS utilizes remote sensing data that can provide a valuable insight on water availability and vegetation health during the cropping seasons. In addition to rainfall estimates and the Normalized Difference Vegetation Index (NDVI), GIEWS and FAO's CBC Division have developed the Agricultural Stress Index (ASI), a quick-look indicator for the early identification of agricultural areas probably affected by dry spells, or drought in extreme cases.
  14. 14. The Global Information and Early Warning System on Food and Agriculture (GIEWS)
  15. 15. More local focused innitiatives • Earth Observation for Economic Empowerment • NextGEOSS • Geo-Cradle • AfriCultuReS • EO4SD - Agriculture and Rural Development Cluster project • STARS
  16. 16. Earth Observation for Economic Empowerment • The purpose of the EOPOWER project was to create conditions for sustainable economic development through the increased use of Earth observation products and services for environmental applications. This purpose serves the higher goal of effective use of Earth observation for decision making and management of economic and sustainable development processes.
  17. 17. NextGEOSS - Supporting Food Security from Space • The available information allows users to follow up crop developments on field level. This means users are able to define their own fields and get real-time information on the status and health of their crops. Because we are working with global datasets, this method can be applied to any location on the planet. This allows decision makers, being on a local, governmental or international level, to get the correct information and a clear overview of the food production in critical areas.
  18. 18. Geo-Cradle • enhance the current knowledge of existing EO capacities in the region (through an ongoing survey), • facilitate the cooperation between EO stakeholders (through a networking platform and several events), • identify the gaps and the maturity level (through analysis) and boost the maturity of the different countries in the region, • enable the exchange of EO data (by setting up a Regional Data Hub), • showcase concrete ways of tackling regional challenges related to adaptation of climate change, improved food security & water extremes management, better access to raw materials and energy (through feasibility studies), • propose a roadmap for the implementation of GEO, GEOSS and Copernicus in the three regions
  19. 19. AfriCultuReS • AfriCultuReS, supported by the GEO Secretariat, involves all key players of AfriGEOSS, GEOGLAM, SIGMA, ARTEMIS, African Drought Observatory and other initiatives as well as partners representing the diversity of African agricultural systems, in an effort to push forward the services provided by current systems, with innovative fusion of data from multiple sources (EO, in-situ, citizen-based crowdsourcing, climate services and weather, crop models) in a vertical manner. Crop yield and biomass prediction models is enhanced through the fusion of EO data and climate models, emphasizing the use of the complementary sensors of the EU Sentinels constellation.
  20. 20. EO4SD - Agriculture and Rural Development Cluster project • The EO4SD - Agriculture and Rural Development Cluster project aim is to develop and demonstrate the provision of customised agricultural information services to support the operations of the following MDBs and IFIs (international financing institutions): the International Fund for Agricultural Development (IFAD), the Global Environment Facility (GEF), the World Bank Group (WBG), the Inter-American Development Bank (IADB) and the Asian Development Bank (ADB). • The preliminary list of case studies includes countries or regions in different continents: North Africa (Morocco), Africa (the Great Green Wall Initiative region, Ethiopia, Burkina Faso, and Uganda), Latin America (Bolivia, Paraguay and Uruguay), Asia (Cambodia) and Middle East (Syria).
  21. 21. STARTS • STARS is a research project which is looking for ways to use remote sensing technology to improve agricultural practices in Sub-Saharan Africa and South Asia. Supported by the Bill & Melinda Gates Foundation, the project hopes to significantly advance the livelihoods of smallholder farmers in some of the world’s poorest countries.
  22. 22. Food security on Nairobi INSPIRE Hack • Important potential segment for EO services are initiatives to food security and nutrition safety for third countries The potential for new services in this direction will be analysed. The needs will be collected and the EO4AGRI results and proposals will be validated through dedicated workshops
  23. 23. Pilot objectives • Analyze, how running activities fit to real needs of African Farming sector • Run pilot test • Prepare recommendation/white paper for African and European Commission • Establish effective partnership • Run the test
  24. 24. Some question • Are EO technology suitable for African farming sector • Where Farming Sector in Africa can benefit from Copernicus • Is there space for Small Farmers • Main difference between farming in Africa and Europe • What will be main service for Africa
  25. 25. Hackathon work • 97 registered people for our team • zYiqeJRDfGW6QvFq5rxcvHpJv5qzzYU/edit#heading=h.ya0xk2y lnqvj
  26. 26. Hackathon work We started with 3 questions DVHHOtoMBTpU957lN6ddaHs/edit#heading=h.efky0xfi34x0 • Why I would like work in this group? • Where Earth Observation can help to African Agriculture? • Ideas about potential experiments?
  27. 27. Why I would like work in this group? • Food security is a major challenge in Kenya and Africa at large considering the country’s economy is largely agrarian. Any unforeseen changes in weather patterns could be fatal not only to our economy but also to millions of people who rely on agriculture for employment and as a source of livelihood. • Food and nutrition security is my major areas of expertise therefore, I am always willing to participate in anything that can help to improve my knowledge in the area. Besides the major importance of food security in the development at a individual, micro and macro level, I believe that I will be more efficient in this team and I will participate significantly in the team. • Food (and water) insecurity are a consistent drivers of vulnerability in Africa. I wish to be part of the solution to food insecurity problem by collaborating with other interested experts and stakeholders.
  28. 28. Where Earth Observation can help to African Agriculture • Soil management can benefit a lot from earth observation. Modeling erosion would help avert loss in soil fertility. • Near real-time crop monitoring data would be very helpful to farmers to enable them identify remedies to crop failures in good time and avoid losses. • The same data could assist government plan in advance in terms of addressing the anticipated deficit in food stock hence avert cases of food shortage. • Earth Observation will also be very important in prediction analysis in the agricultural sector. This will permit African Agriculture to be economical and technically efficient. It can also permit African countries to specialise in into different sector, therefore, develop trade agreement.. • In highlighting the suitable areas for different agricultural practices and the hotspots of food insecurity. As any other thematic area, agriculture has a geographic dimension that can only be captured and revealed by accurate and dynamic earth observation data.
  29. 29. Ideas about potential experiments? • Sampling plots from different agro-climatic zones in Kenya and monitoring their growth using earth observation techniques together with ancillary data like weather data and biophysical data. • Also establishing crop growth scenarios under different weather events could help in projecting future yields which is very critical in the planning operations and budgeting by state agencies and county governments. • Prediction of disease susceptibility of crop using the temporal crop dynamics from earth observation data. Using historical data of crop disease and connecting them with features extracted from earth observation data for generating alert of probable crop disease.
  30. 30. Ideas about potential experiments? • To make some experiments only based on observation data and compare the results. • A combination of agent-based models of human activities and how these contribute to food (in)security and a dynamic changes in the environment as captured by big earth observation data. • Accurate monitoring crop phenology to aid the application of farm inputs like fertilizers, irrigation and farm management. • Assessment of hydrological flows through a combination of field observations and output from satellite image analysis workflows. • Augmenting weather and climate monitoring through the use of affordable in-situ weather sensors and remote sensed weather estimates.
  31. 31. First analysis • Strong relation with pilot TEAM 2: Climatic Services for Africa for-africa-karel-jedlicka/ and partly also with TEAM 4: IoT Technologies for Africa for-africa/ • There is probably space for common experiment. Climatic data and services seems to be highest priorities.
  32. 32. Who are main target groups of farmers in your country? • In Kenya, some of the significant farmer groups include maize farmers, rice farmers and sugarcane farmers
  33. 33. Do you have practical experience with implementation of EO in your country? 1. I (Parmita Ghosh) do have for my country India and Germany 2. I have experience with Copernicus Data for climate monitoring (Kizito) 3. I have a background in applied geoinformatics and am currently using earth observation data to address water and food insecurity questions in the dryland regions of Kenya (Francis Oloo)
  34. 34. Can benefit small farmers from EO? 1. Sentinel 1, 2 has spatial resolution of 20 m so small farmers can be benefited by the products developed using images from these satellites. 2. Landsat can particularly be used for awareness creation on issues like land degradation and land use change and its influence on land health and the potential areas that can be used for farming.
  35. 35. Conclusion 1. We will continue in collection of ideas. Questions will be available also on SmartAfriHub (see team 5) 2. We will use this for recommendation for future development of COPERNICUS 3. We will try to build common projects on the base of ideas 4. We will prepare examples of indexes and analysis of image, it will be available on
  36. 36. SmartAfriHub
  37. 37. SmartAfriHub
  38. 38. Thank you for your attention Karel Charvat Place your name & email here This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No [number]