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Brochure, flyer, fact-sheetEstablishing a multi-purpose national forest monitoring system to improve land use monitoring capacities in Ghana
Strengthening the accessibility and accuracy of forest-related data for meeting national and international climate targets
2021Since 2008, the Republic of Ghana has implemented activities for reducing emissions from deforestation and forest degradation (REDD+). These actions include establishing a multi-purpose national forest monitoring system (NFMS) to improve land use monitoring capacities in the country. Development of Ghana's NFMS strengthens the accessibility and accuracy of forest-related data for meeting national and international climate targets. This case study may serve as an example to other countries implementing NFMS, as it describes the purpose of an NFMS, the design, related stakeholders and other actors, as well as the challenges and successes experienced in Ghana. -
DocumentGlobal Forest Resources Assessment (FRA) 2020 Papua New Guinea - Report 2020
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Book (stand-alone)Strengthening National Forest Monitoring Systems for REDD+ 2018
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The Food and Agriculture Organization of the United Nations (FAO) has been providing support to member countries on national forest monitoring for decades. Best practices and lessons learned from this support are summarized in FAO´s Voluntary guidelines on national forest monitoring (VGNFM). The guidelines provide principles, elements and best practices for the establishment and implementation of a multipurpose National Forest Monitoring System (NFMS). The aim of this paper is to strengthen the elements and guidelines provided in the VGNFM in the context of Reducing Emissions from Deforestation and Forest Degradation (REDD+). It also includes a deeper analysis of the United Nations Framework Convention on Climate Change decisions and the most recent methodological recommendations provided by the Intergovernmental Panel on Climate Change, focusing on the three pillars of an NFMS for REDD+: a Satellite Land Monitoring System, a National Forest Inventory, and REDD+ reporting, including the combination of remote-sensing and ground-based forest inventory to estimate anthropogenic forest related Greenhouse Gas emissions by sources and removals by sinks.
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