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.

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

The management of forest commons requires coordination within a community and between communities. This coordination is usually challenging given the incentives for free riding.

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

Measuring empowerment is both complicated and time consuming. A number of recent efforts have focused on how to better measure this complex multidimensional concept such that it is easy to implement.

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

Accurate geo-information of cropland is critical for food security strategy development and grain production management, especially in Africa continent where most countries are food-insecure.

New findings on how proximity to urban areas affects patterns of rural employment, income levels, and agricultural intensification among households in rural Ghana.

Using crowdsourced near-surface remote sensing imagery to monitor winter wheat phenology and identify damage events in NW India.

Global and regional scale agricultural monitoring systems aim to provide up-to-date information regarding food production to different actors and decision makers in support of global and national food security.

This study used geospatial analysis to delineate sustainable recommendation domains (SRDs) for scaling improved crop varieties and good agronomic practices in Tanzania