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AIM4Forests

Accelerating Innovative Monitoring for Forests









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    Book (stand-alone)
    Good practices in sample-based area estimation 2024
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    Reducing Emissions from Deforestation and Forest Degradation, and the role of conservation, sustainable management of forests and enhancement of forest carbon stocks in developing countries (REDD+), as well as greenhouse gas reporting for the agriculture, forestry and other land use sector, requires land use changes to be characterized to estimate the associated greenhouse gas emissions or absorptions. It is becoming increasingly common to generate these estimates using sample-based area estimation (SBAE). This technique has been widely used in recent years in the generation of activity data – particularly for estimating areas of deforestation – for REDD+ measuring, reporting and verification. However, implementing countries and agencies have repeatedly highlighted the lack of guidance on how to address certain frequently encountered issues with this approach. This paper seeks to enable donors, academia, and countries that currently use or want to use SBAE for generating activity data for REDD+ or for other national or international reporting purposes, to delve into current good practice and existing literature, as well as gain a better understanding of the most pressing research needs in the area. The paper moreover will give non-experts an overview of area estimation, as well as its applications and limitations.Published by FAO with the collaborative support of several partners in the Global Forest Observations Initiative (GFOI), the World Bank and the Department for Energy Security and Net Zero of the United Kingdom of Great Britain and Northern Ireland, the paper is expected to contribute to improved forest data.
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    Delivering tree genetic resources in forest and landscape restoration
    A guide to ensuring local and global impact
    2023
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    In the last 25 years, almost 50 million hectares of primary forest have been lost due to deforestation. Numerous international initiatives such as the Bonn Challenge and the New York Declaration on Forests have set ambitious goals to restore degraded and deforested lands by 2030. Realizing global commitments on forest and landscape restoration (FLR) will require the establishment of billions of trees on millions of hectares of degraded land to address the triple crisis of biodiversity loss, climate change and failing food systems. A significant amount of FLR will require tree planting or increasing tree cover in production landscapes.
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    How much do large-scale and small-scale farming contribute to global deforestation?
    Results from a remote sensing pilot approach
    2023
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    The study presented in this document expands on the work conducted during the Global Forest Resources Assessment (FRA) 2020 Remote Sensing Survey (RSS) and revisits the extensive dataset of areas where deforestation occurred over periods 2000–2010 and 2010–2018 to subclassify and assess deforestation drivers. Notably, considering the importance it would have in designing appropriate strategies for halting deforestation, the study assesses the share of agriculture-driven deforestation linked to small-scale and large-scale farming, both for cropping and livestock systems. The goal was not only to further characterize the global deforestation drivers in 2000–2018 but also to identify methods and tools that can help in exploring the deforestation drivers using Earth Observation – by adding more options to the original FRA RSS query and by trying to define subjective characteristics of the activities.

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