Dunwoody, A.

Fritz, S.

Jacques, D.

Laso Bayas, J. C.

McCallum, I.

Moorthy, I.

See, L.

Waldner, F.

International Institute for Applied Systems Analysis (IIASA)

Global Agricultural Monitoring Systems: Current Gaps and Possible SolutionsLinda See, Antonia Dunwoody, Juan-Carlos Laso Bayas, Inian Moorthy, Ian McCallum, Steffen FritzDamien Jacques*, François Waldner** Université Catholique de Louvain, BelgiumContext• Priority to achieve global food security• Significant increases in the world food prices (maize, wheat, rice) late 2007 and 2008 and again in 2011 sparked political and social unrest around the world• To better prepare for disruptions in food supply and global crop market prices, timely and accurate information on current and forecasted global food production is neededFrom http://wmp.gsfc.nasa.gov/uploads/science/slides/Justice_ASP-WR_2012-09-06.pdfGlobal Agricultural Monitoring Systems (GAMS)• three main functions: – the global mapping and monitoring of changes in distribution of cropland area– the global monitoring and forecasting of agricultural production (yield)– the effective early warning of famine, enabling the timely mobilization of an international response in food aidCurrent GAMS• GLAM• FEWS NET• GIEWS• MARS• CropWatch• FMSM• Vital Signs• Crop ExplorerGEOGLAM and SIGMA• Launched by G20 in 2011 to improve crop forecasts and input to AMIS– Enhance national ag reporting systems– Establish a global network of experts in ag monitoring– Create an operational sys of systems based on EO and in situ data• EU-funded project as EU’s contribution to GEOGLAMGaps• Need better information in three main areas:– Baseline data– Statistical data on agricultural production, area and yield– In-situ data (yield)Gap #1 Baseline Data• Crop calendars• Cropland extent• Field size• Cropping intensity• Maps of crop type• Environmental management datasets• Meteorological data for improving crop modelsGap #2 Statistical Data on Agricultural Production, Yield and Area• Available nationally through FAOSTAT since 1961• Sub-national data collected by IFPRI but many gaps• Lack of spatially explicit information• No harmonized data collection methodsGap #3 In-situ Data (Yield)• Needed to develop/validate crop models• Needed as inputs to RS-based models of yield/production estimation• Number of sites where crop trials and yield data are available• Lack of sharing, sits in the commercial sector, very ‘sensitive’ informationEarth Observation• remote sensing already assists in:– assessment of crop production, yield and acreage estimation– crop phenology– stress situations and anomalies• problems due to medium resolution, lack of cloud-free images, insufficient temporal resolution• launch of Sentinel 2, 3 and Proba-V sensors will address some of these issuesCrowdsourcing• 7 billion human sensors• GPS-enabled mobile devices• Apps for agricultural advice gathering info on yields, management info, YieldCheck, high frequency household surveys• Geo-Wiki crowdsourcing of cropland, field size (Cropland Capture, Picture Pile)• New citizen observatories:– LandSense (http://landsense.eu/)– GROW (http://growobservatory.org/)Better Sharing of the Data• Diverse variety of data sources distributed globally • Needs integration• Needs interoperability• Needs open licensing• Needs algorithms (data fusion, data mining, analytics)• Needs repositories• Needs actionThanks! Questions?http://www.geoglam-sigma.infoLinda See (see@iiasa.ac.at)Steffen Fritz (fritz@iiasa.ac.at)

Global Agricultural Monitoring Systems: Current Gaps and Possible Solutions

Global Agricultural Monitoring Systems: Current Gaps and Possible Solutions

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International Institute for Applied Systems Analysis (IIASA)