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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Presentation transcript:

Earth observations for a Food Secure Africa From GEOGLAM to AfriGAM Terry Newby AfriGEOSS symposium April 2016, Victoria Falls, Zimbabwe

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

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.

The Solution Co-ordination Easy Data Access Sufficient Expertise / Capacity / Knowledge Maintained Infrastructure Information Dissemination in Support of Evidence based decision-making

GEOGLAM monitoring/crop-monitor/overview/en/ Two operational products Global Crop Monitor Early Warning Crop Monitor

28 Feb March 2016 EARLY WARNING CROP MONITOR

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).

JECAM Convergence of approaches, develop monitoring and reporting protocols and best practices for a variety of global agricultural systems. 8 sites in Africa

AGMIP Crop modelling for CC

Sentinel 2 Agriculture Open source system Crop mask Crop type LAI, NDVI, Phenology Validation in process

CW4SA - Crop watch for South Africa AIRBUS / SANSA

SIGMA Developing Cropland mapping & Change Developing Crop production (Biophysical parameters) Environmental monitoring

IMAGINES 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.

Zone Scan / Crop Scan (Commercial Service)

AfriGAM – a proposal Purpose –Co-ordinate Ag monitoring in Africa –Share cutting edge technologies –Mutual capacity development –Liaise with GEOGLAM –Co-ordinate Afri-JECAM

Conclusion 1. Co-ordination 2. Cutting edge operational systems that are –Practical –Feasible –Affordable 3. Evidence based decisions

17 Thank you!