From the field

Nepal has taken a significant step toward forest data transparency and sustainable forest management by making its National Forest Inventory (NFI) metadata and resources available on the Food and Agriculture Microdata (FAM) catalogue.

Results from Pacific fishing areas are presented at Honiara Summit in Solomon Islands

The Department of Forestry under the Ministry of Agriculture and Forestry (MAF) has taken a significant step towards enhancing forest data transparency by registering its national forest monitoring system (NFMS) data on the Food and Agriculture Microdata (FAM) Catalogue, developed by the Food and Agriculture Organization of the United Nations (FAO).

Why gathering statistics on agriculture is worth the challenge

The Bangladesh Forest Department, under the Ministry of Environment, Forest, and Climate Change (MoEFCC), has made a significant step toward forest data transparency by creating metadata, microdata, and supplementary resources from its National Forest Inventory (NFI) publicly available on the Food and Agriculture Microdata (FAM) catalogue developed by the Food and Agriculture Organization of the United Nations (FAO). This initiative marks a milestone in the country’s journey towards sustainable forest management and global environmental goals.

FAO’s Earth Observation for Statistics (FAO-EOSTAT) project, an innovative initiative supported by the Agrifood Economics and Policy (ESA) and the Statistics (ESS) Divisions, leverages next-generation Earth Observation (EO) big data and Artificial Intelligence (AI) to enhance traditional statistical tools for producing land cover and land use statistics.

How FAO's state-of-the-art data platform is speeding up emergency relief operations in Afghanistan and beyond.

ASTI, a global leading programme in compiling and analyzing agricultural research data for over two decades.

Discover how the groundbreaking Open Foris platform can restore and protect forests.

Investing in young African women and men to improve countries’ agricultural data