This component focuses on supporting willing national and regional institutions to develop agricultural monitoring capacities through the use of Earth observation and modeling. Most countries have an agricultural monitoring system in place, but the level of uptake and use of Earth observations is extremely variable between countries. In a number of cases, traditional statistical field-based methods are used and do not benefit from the synoptic information that is afforded by current Earth observation data. In other cases, there is a lack of coordination between institutions that develop and utilize remote sensing for agricultural monitoring and the agricultural ministries or statistical services responsible for operational agricultural production monitoring. There is also much to be gained by sharing experiences and approaches for the use of remote sensing between countries with similar crops (and cropping systems) and between countries with significant livestock numbers on pasture or rangelands.
This component will provide technical and institutional training, training of trainers, methodological guidelines and tools, facilitated access to Earth observation including meteorological data (component EO Data coordination), and expert advice and support. GEOGLAM will stimulate networking and the sharing of technical experience between all G20 and other countries focusing on the main producers/exporters identified in relationship with AMIS and FAO, as well as countries identified as at-risk (food insecure) where Earth observation and crop models could improve present information.
To read more about capacity building projects currently underway, click here (Pakistan) and here