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Ensemble Sample Based Area Estimation - An Overview







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    Presentation
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    Article
    Forest monitoring: issues and good practices in sample-based area estimation
    XV World Forestry Congress, 2-6 May 2022
    2022
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    REDD+ and greenhouse gas reporting for the agriculture, forestry and other land use (AFOLU) sector requires land use changes to be characterized to estimate the associated greenhouse gas emissions or absorptions. It is becoming increasingly common for countries to track these changes using visually interpreted, sample-based approaches. Known as sample-based area estimation, the technique has been widely used in recent years in the generation of activity data for REDD+ Monitoring Reporting and Verification (MRV). However, implementing countries and agencies have repeatedly highlighted the lack of guidance on certain frequently encountered issues with this approach. This paper responds to this need for guidance by trying to address the most urgent technical issues faced by countries relating to sample based area estimation. Among others, it tackles issues such as how to best monitor beyond deforestation or for multiple purposes, how to account for variability between interpreters looking at the same satellite image, what type of sample unit to use and how many measurements are needed per sample unit. Existing good practices are consolidated, and new good practices are proposed as solutions where appropriate. The paper also indicates areas of future research, which should be pursued to answer the remaining questions surrounding area estimation. This paper will enable donors, academia, and countries that currently use or that want to use sample based area estimation for generating activity data for REDD+ or for other purposes. This paper is conceived to gain an overview of the most pressing research needs in the area and to delve into current good practice and existing literature. It will give non-experts an overview of area estimation, its applications and limitations. Keywords: area estimation, REDD+, statistics, remote sensing, forest monitoring ID: 3481211
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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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