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Earth observations for a Food Secure Africa From GEOGLAM to AfriGAM Terry Newby AfriGEOSS symposium 27-29 April 2016, Victoria Falls, Zimbabwe
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THE CHALLENGE World Food Production needs to increase by 70% by 2050 $20 Bil / year investment is needed in emerging economies to meet demand All possible technologies to be used to monitor cropping What about Fodder, Fuel & Fibre Climate variability and Change
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Components of a CROP MONITORING SYSTEM An area estimation system (Crop Area) A crop type identification system A yield estimation system A crop condition monitoring system A planting progress system A harvesting progress system A seasonal outlook system An information distribution or access system A capacity development, training and awareness initiative.
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The Solution Co-ordination Easy Data Access Sufficient Expertise / Capacity / Knowledge Maintained Infrastructure Information Dissemination in Support of Evidence based decision-making
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GEOGLAM http://www.geoglam-crop-monitor.org/ http://www.amis-outlook.org/amis- monitoring/crop-monitor/overview/en/ Two operational products Global Crop Monitor Early Warning Crop Monitor
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28 Feb 2016 28 March 2016 EARLY WARNING CROP MONITOR
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GEOGLAM Objectives Enhancing national agricultural reporting systems (Capacity Development) Establishing a sustained international network of agricultural monitoring and research organizations and practitioners Operational global agricultural monitoring systems (satellite and in situ observations).
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JECAM Convergence of approaches, develop monitoring and reporting protocols and best practices for a variety of global agricultural systems. 8 sites in Africa
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AGMIP http://www.agmip.org/ Crop modelling for CC
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Sentinel 2 Agriculture Open source system Crop mask Crop type LAI, NDVI, Phenology Validation in process http://www.esa-sen2agri.org
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CW4SA - Crop watch for South Africa AIRBUS / SANSA
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SIGMA http://www.geoglam-sigma.info/Pages/default.aspx Developing Cropland mapping & Change Developing Crop production (Biophysical parameters) Environmental monitoring
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IMAGINES http://fp7-imagines.eu/ Investing multi-sensor and multi-scale (300m & 30m) biophysical variables (LAI, FAPAR, FCover, Albedo) retrieval for Sentinel Developing qualified software Complement and contribute to the existing or future agriculture services in order to monitor the crop/fodder production together with the carbon and water fluxes. Demonstrating the added value of this contribution for a community of users acting at global, European, national, and regional scales.
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Zone Scan / Crop Scan (Commercial Service)
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AfriGAM – a proposal Purpose –Co-ordinate Ag monitoring in Africa –Share cutting edge technologies –Mutual capacity development –Liaise with GEOGLAM –Co-ordinate Afri-JECAM
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Conclusion 1. Co-ordination 2. Cutting edge operational systems that are –Practical –Feasible –Affordable 3. Evidence based decisions
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17 Thank you!
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