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Forest and Land Monitoring for Climate Action - SEPAL

Methodological note

Year of publication 2022

Place of publication Rome, Italy ;

Pages 13 p.

Author FAO

Publisher FAO ;

Product type Document

Category Other document

Synopsis (short abstract) This methodological note describes the overview, goal, target audiences, learning objectives, methodology and activities of the online facilitated course "Forest and Land Monitoring for Climate Action - SEPAL", and each of its modules: 1) Institutionalization of forest data, 2) Introducing SEPAL for forest and land monitoring, 3) High-integrity measurement, reporting and verification, 4) Monitoring of forest and ecosystem restoration, and 5) Peatland mapping and monitoring. It also explains the structure, workload and completion requirements of the available learning paths, as well as the course calendar and certification.

Language English

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    Online facilitated course Forest and Land Monitoring for Climate Action - SEPAL 2022
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    Interested in digital platforms and tools for more effective forest and land monitoring? Learn how to use SEPAL. The goal is to support knowledge and skills development to operationally apply high-resolution satellite imagery to critical forest and land monitoring in tropical forest countries. The course is offered for free and open to all interested in digital platforms and tools for forest and land monitoring, and is entirely based on an interactive, learning-by-doing approach, offering a wide range of case studies, hands-on activities and online facilitated sessions. When: from 24 March to 7 May 2023 Where: on the FAO e-learning Academy Collaborative moodle platform Language: English, French and Spanish.
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    Accurate information is critical for natural resources to be managed sustainably. Developed by the Food and Agriculture Organization of the United Nations (FAO), the System for Earth Observation Data Access, Processing, and Analysis for Land Monitoring (SEPAL) helps countries monitor and report on forests and land use. SEPAL offers users unparalleled access to satellite data, an easy-to-use interface, and powered by cloud-based supercomputers, paving the way for improved climate change mitigation plans and data-driven land-use policies.
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    Project code: GCP/GLO/537/NOR
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    The System for Earth Observation Data Access, Processing and Analysis for Land Monitoring (SEPAL) is a cloud-based computing platform for fast access and processing of remotely sensed data sources. It is designed to assist national forest monitoring and reporting for the Reducing Emissions from Deforestation and Forest Degradation, Forest Conservation, Sustainable Management of Forests and Enhancement of Carbon Stocks in Developing Countries (REDD+) mechanism. The terminal evaluation of the project found SEPAL to have been largely successful and relevant in achieving its aims. The evaluation recommended certain improvements, notably a “plan B” option to mitigate SEPAL’s dependency on Google Earth Engine, and assurance of continued relevance in Phase II of SEPAL.
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