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.
In this interactive we develop a typology to help design and improve spatial targeting of food and nutrition security (FNS) interventions.
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
This dataset consists of half-degree resolution simulated land use/land cover projections (in hectares) for the entire globe for the years 2005 and 2050.
The U.S. Department of Agriculture (USDA) publishes monthly Ending Stocks projections, providing an estimate of the end-of-marketing-year inventory of a particular commodity, which effectively summarizes its supply and demand outlook.
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.
L'enorme potentiel agricole de la Republique Democratiqu du Congo (RDC) est bien documente.
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
تعرض هذه المذكرة المتعلقة بالسياسات مثالين عن كيفية استخدام بيانات الاستشعار
This policy note showcases two examples on how remote sensing data can be used for monitoring agricultural production and economic activities.
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.
The world is experiencing an unprecedented health crisis during the spread of COVID-19 (SARS-CoV-2, or Severe Acute Respiratory Syndrome Coronavirus 2).
Advances in remote sensing and machine learning enable increasingly accurate, inexpensive, and timely estimation of poverty and malnutrition indicators to guide development and humanitarian agencies’ programming.