The lack of timely, high-resolution data on agricultural production is a major challenge in developing countries where such information can guide the allocation of scarce resources for food security, agricultural investment and other objectives.

This paper combines panel data from nationally representative household-level surveys in Nigeria with long-term satellite-based spatial data on temperature and precipitation using geo-referenced information related to households.

This paper combines panel data from nationally representative household-level surveys in Nigeria with long-term satellite-based spatial data on temperature and precipitation using geo-referenced information related to households.

This chapter looks at food system innovations and digital technologies as important drivers of productivity growth and improved food and nutrition security.

We combine nationally representative data from Nigeria with spatiotemporal data from remote sensing and other sources to study how young migrants respond to observable characteristics of potential destinations, both in absolute terms and relative

More than one billion people worldwide receive cash or in-kind transfers from social protection programs.

Spatially explicit global cropping system data products, which provide critical information on harvested areas, crop yields, other management variables, are imperative to tackle current grand challenges such as global food security and climate cha

The world is experiencing an unprecedented health crisis during the spread of COVID-19 (SARS-CoV-2, or Severe Acute Respiratory Syndrome Coronavirus 2).

Since Amartya Sen's famous work on Poverty and Famines, economists have understood that the impacts of food market shocks on the poor depend much more on their impacts on households’ incomes and access to food than on overall food availability, an

The global research consortium CGIAR is restructuring itself to build a more integrated global organization (“One CGIAR”) that fully leverages its strengths and refocuses its research strategy through 2030 in service of a renewed mission: End hung

Extreme weather causes substantial damage to livelihoods of smallholder farmers globally and are projected to become more frequent in the coming decades as a result of climate change.

Extreme weather events cause considerable damage to the livelihoods of smallholder farmers globally.

This paper discusses the feasibility of applying a near-surface remote sensing approach in the index insurance component of the R4 Rural Resilience Initiative in Ethiopia.

Data on global agricultural production are usually available as statistics at administrative units, which does not give any diversity and spatial patterns; thus they are less informative for subsequent spatially explicit agricultural and environme

Forecasting crop yields is becoming increasingly important under the current context in which food security needs to be ensured despite the challenges brought by climate change, an expanding world population accompanied by rising incomes, increasi

Policy-making processes in developing countries often continue to operate devoid of evidence.

Information on global cropland distribution and agricultural production is critical for the world's agricultural monitoring and food security.

Remotely sensed actual evapotranspiration (AET) may help fine-tune hydrological models in data-scarce regions to improve water-management interventions.