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RIICE Remote Sensing based Information and Insurance for Crops in emerging Economies

RIICE Remote Sensing based Information and Insurance for Crops in emerging Economies. partners:. RIICE - . Calibration and validation of existing rice crop growth models. Work with regional partners. Provision of innovative customized earth observation based products and services.

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RIICE Remote Sensing based Information and Insurance for Crops in emerging Economies

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  1. RIICE Remote Sensing based Information and Insurance for Crops in emerging Economies

  2. partners: RIICE - Calibration and validation of existing rice crop growth models. Work with regional partners. Provision of innovative customized earth observation based products and services. Convenes aggregator networks and trains them to pass on the solutions as micro-insurance products (jointly with Allianz Re). Development of insurance solutions based on the data provided by sarmap and IRRI. Key donor of the programme that also organises the knowledge management of the programme.

  3. Feeding seven billion people requires a 70% increase of food production until 2050. helps to decrease the vulnerability of smallholder farmers and better Crop insurance Crop growth information helps Governments and NGOs to mitigate the impact of food shortages.

  4. targets: RIICE project 7 countries, 5 million farmers in 5 years. 1 3 2 Reduce the vulnerability of 5 millionrice farmers in Asia and beyond to flood and drought over the next 5 years. Help Governments and NGOs to better plan for food crises through better crop growth monitoring. Increase efficiency and effective-ness of crop insurance solutions and turn it into a viable business also in emerging markets.

  5. the world´s rice 90% of is produced and consumed in Asia. Over 70% (900 million) of the world´s poor are in Asia. Rice Consumption Poverty Annual consumption per capita = 250,000 people living on less than $ 1.25 a day (2005)

  6. Climate risks: 20 million hectares of rice-cultivated land is vulnerable to flooding. Climate: Rice: Poverty: If we want to increase resilience against natural disasters and improve food security, then a timely rice information system linked to a crop insurance model is essential. Flood affects the major rice producing areas of Asia. Asia is the largest rice market: consumers & producers. Asia has the highest concentration of poverty.

  7. new approach Why a is needed

  8. crop insurance Making part of an integrated RIICE risk management approach. Government‘s options FARMERS BENEFITS • Disaster relief programmes • More productive crops • Better information on yield • Insurance • Stabilized income and hence worthy for agricultural credits • Less vulnerability and hence more money available for securer life • Less likely to migrate to cities

  9. needs: Farmers‘ 4 3 2 1 2 3 1 access to credit access to seeds access to insurance risks: Farmers‘ flood drought lack of irrigation pest and diseases

  10. The Earth Observation component Earth Observation data MAPscape-Rice processing & product generation • Crop calendar • Crop practices • Administrative units • Area • Start and peak of season dates • Phenological monitoring • Leaf Area Index Leaf Area Index in situ point data • Meteo data • Soil data • Phenological data • Management data Oryza2000 rice growth simulation model Yield estimation Production

  11. Area Yield Yield (tos/ha) Municipalities A standard product The different colors represent the rice area including the dates of the start of season (rice emergence). The tables list the rice area at municipality level for each acquisition date, while yield is estimated at the peak of season.

  12. Baseline map, 1ha Double rice Single rice Deep water rice Rice mixed with other crops ENVISAT ASAR Wide Swath 2004-2010

  13. Baseline map including phenological monitoring, 1ha 2011 – first season, start of season 2011 – second season, start of season 2011 – first season, peak of season 2011 – second season, peak of season ENVISAT ASAR Wide Swath 2004-2010 MODIS 2011

  14. Baseline map, 1ha ENVISAT ASAR Wide Swath 2004-2010

  15. Rice area during wet season 2012, 3m Cosmo-SkyMed Stripmap

  16. Date of start of season, 3m September June Cosmo-SkyMed Stripmap

  17. Date of peak of season, 3m September June Cosmo-SkyMed Stripmap

  18. Phenological Monitoring – 26 June 2012, 3m harvest senescence peak tillering – stem extension flooding pre-flooding bare soil Cosmo-SkyMed Stripmap

  19. Phenological Monitoring – 12 July 2012, 3m harvest senescence peak tillering – stem extension flooding pre-flooding bare soil Cosmo-SkyMed Stripmap

  20. Phenological Monitoring – 28 July 2012, 3m harvest senescence peak tillering – stem extension flooding pre-flooding bare soil Cosmo-SkyMed Stripmap

  21. Phenological monitoring – 13 August 2012, 3m harvest senescence peak tillering – stem extension flooding pre-flooding bare soil Cosmo-SkyMed Stripmap

  22. Phenological monitoring – 21 September 2012, 3m harvest senescence peak tillering – stem extension flooding pre-flooding bare soil Cosmo-SkyMed Stripmap

  23. Leaf Area Index at peak of season, 3m < 1 1 – 2 2 – 3 3 – 4 4 – 5 > 5 Cosmo-SkyMed Stripmap

  24. Yield estimation Cartogram maps depict relative rice production where provinces have been distorted based on the proportion of the national rice production in that province. The color shows the average yield gaps (the difference between climatic potential yield and BAS reported yield) for 2006-10. Inset maps show the non-distorted presentation of yield gaps.

  25. Thank you for your attention

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