Monitoring the world's forests
FAO has been monitoring the world’s forests since 1946 through regular assessments conducted with its member countries. FAO now works with partners to use remote sensing and cloud-based super computers to help countries monitor and report on forests and develop climate change mitigation plans and data-driven land-use policies. The Global Forest Resources Assessment presents a comprehensive view of the world’s forests and the ways in which the extent of forest resources, their condition, management and use is changing.
FAO also compiles global statistics on the production and consumption of forest products, pulp and paper production capacities and recovered paper data surveys. The FAO Yearbook of Forest Products is a compilation of statistical data on basic forest products for all countries and territories of the world.
At a national level, FAO also supports countries to develop national forest monitoring systems, forest product statistics and socioeconomic surveys to improve national forest information.
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New FAO report strengthens the science behind peatland emissions reporting
31/07/2026
Latin America strengthens forest monitoring to improve climate action and conservation
10/07/2026
FAO and Norway launch partnership to strengthen global forest monitoring and data
29/12/2025
Publications@Model.TitleStyle>
Towards a digital public infrastructure for deforestation-related trade regulations
2024
The development of digital public infrastructure to support compliance on aspects of trade regulations related to forest monitoring helps smallholders by enabling their access to regulated markets.
AIM4Forests: Accelerating innovative monitoring for forests
2024
FAO and the United Kingdom of Great Britain and Northern Ireland have launched AIM4Forests, a five-year programme that aims to support forest monitoring based on modern monitoring technologies and technical innovation, as well as the use of space data and remote sensing.
Good practices in sample-based area estimation
2024
This paper seeks to enable donors, academia and countries that currently use or want to use sample-based area estimation for generating data for REDD+ or for other national or international reporting purposes.