Overview: The overall aim of the project is to take advantage of most up-to-date Earth Observation technologies to provide IFAD an advanced monitoring platform for its project and to provide support to IFAD strategic vision through analysis of policy scenarios on future agricultural development in Central Africa and how smallholder farming can be influenced in these regions by some specific programs. It will allow IFAD to clearly demonstrate where and to what effect their activities on the ground are making (or could make in the future), a difference. It will build capacity of local partners in spatial monitoring and in land use planning. This project will generate a public good in the form of a platform and reporting mechanism. All stakeholders will have access to this platform for monitoring past and current land-use change in particular on IFAD projects, and for analyzing future policy scenarios of agricultural development.
IIASA Research: IIASA wants to develop GLOBIOM further, integrating a farming structure and farming systems’ dimension into it. That involves a number of GLOBIOM enhancements / adjustments. As a result, GLOBIOM will be able to generate globally consistent national assessments that will also serve as the context for IFAD’s impact evaluations and for bringing impact evaluation findings to the policy makers. The data enhancement component supports household-survey and secondary-data based impact evaluation work, with remote sensing data and also with high frequency data related to household consumption, agricultural technology adoption and prices, over a 6 months period, as an experiment in one country to be scaled up after assessment. This provides geo-physical data and a wider set of high-frequency data to contextualize impact evaluations. The scenario building component will provide an evidence-based framework with the GLOBIOM model that will inform policy-makers by providing alternative scenarios on future agricultural development in selected countries. Such scenarios will show how smallholder farming can be influenced by varying policy conditions and will aim to evaluate the extent to which some specific policies may favor a rural structural transformation. At the center of this programme is an important effort to: 1) define smallholder farming and its dynamics in a global-model relevant manner; and 2) identify precision-policy mixes to accompany smallholder transformation.
Last edited: 02 February 2016
International Institute for Applied Systems Analysis (IIASA)
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