Tree-level biomass maps for Africa
TREEMAP aims to develop and harmonize tree-level biomass mapping tools for effective monitoring of trees outside forests in Africa, enhancing participation in forest restoration and carbon markets.
Projectdetails
Introduction
Trees outside forests make up more than one quarter of the tree cover in Africa, but there is currently a lack of efficient and reliable monitoring systems for trees outside forests. Previous research suggests that most forest and landscape restoration (FLR) is occurring outside of contiguous forests, particularly in agroforestry systems.
Monitoring Challenges
This implies that trees on fields, in particular those of smallholder farmers, as well as trees in restoration and plantation areas cannot be effectively and rapidly monitored. The ERC project TOFDRY has developed methods and tools that can fulfill these tasks, but the project outputs are not harmonized and not operational.
Project Objectives
The TREEMAP project aims at moving research into practical and needed application in Africa that facilitates the use of tree-level biomass maps with end-users, such as governmental authorities or NGOs.
User Needs Assessment
TREEMAP will conduct a user needs assessment and harmonize TOFDRY methods to develop operational products at two scales:
- Local/regional scale tree-level biomass maps using sub-meter resolution imagery.
- Annual high-resolution biomass maps at national scale based on PlanetScope images, with a focus on dynamics in farmlands and restoration/plantation areas.
Dissemination and Partnerships
Finally, TREEMAP will disseminate and distribute demo-products to end-users. TREEMAP will partner with AUDA-NEPAD, who is setting up in-country institutional arrangements to enable multi-sector use of the biomass maps.
Expected Outcomes
TREEMAP products will generate visibility on and verification of FLR efforts that can attract climate finance. Tree-level biomass maps contribute to:
- Greenhouse Gas (GHG) inventories
- The Agriculture, Forestry and Other Land Use (AFOLU) sector
- Nationally Determined Contributions (NDC) reporting
- Potential participation in carbon markets
Placing highly accurate, user-friendly, regularly updated, analysis-ready products in the hands of non-experts in Africa allows widespread participation in FLR monitoring and carbon markets.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 150.000 |
Totale projectbegroting | € 150.000 |
Tijdlijn
Startdatum | 1-6-2024 |
Einddatum | 30-11-2025 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- KOBENHAVNS UNIVERSITETpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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---|---|---|---|---|
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Environmental thresholds for drought- and heat-related tree mortalityThis project aims to identify environmental thresholds and drivers of drought- and heat-related tree mortality using advanced remote sensing and deep learning to inform forest management and resilience strategies. | ERC Starting... | € 1.812.500 | 2024 | Details |
Improving tropical forest conservation in Africa
AFRI-FOR aims to enhance sustainable non-timber forest product harvesting in Africa by integrating traditional knowledge and modern methods to balance conservation and poverty alleviation.
An innovative ‘Forest and Trees Toolkit’ for reducing malnutrition in Africa
Develop a 'Forest and Trees Toolkit' to guide targeted tree planting in Sub-Saharan Africa, enhancing nutrition, conservation, and climate goals through local species selection.
Regreening Africa with natural regeneration
This project aims to evaluate and predict natural regeneration dynamics in Sub-Saharan Africa to enhance restoration strategies by integrating social-ecological factors for effective land recovery.
Digital twins for understanding forest disturbances and recovery from space
This project aims to enhance understanding and monitoring of forest disturbances and recovery using advanced 3D models and satellite data across diverse ecosystems, improving carbon stock forecasting.
Environmental thresholds for drought- and heat-related tree mortality
This project aims to identify environmental thresholds and drivers of drought- and heat-related tree mortality using advanced remote sensing and deep learning to inform forest management and resilience strategies.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Remote Sensing for carbon stocks measurement in food supply chainsHet project ontwikkelt een Remote Sensing service om de koolstofopslag in koffie- en cacaoplantages te meten, ter ondersteuning van merken bij het verminderen van hun ecologische voetafdruk. | Mkb-innovati... | € 20.000 | 2023 | Details |
TreeTracker.aiTreeTracker ontwikkelt AI-algoritmen voor snellere en objectievere boominspecties, waardoor de benutting van bomen in klimaatadaptatie verbetert en arbeidsintensieve processen worden verminderd. | Mkb-innovati... | € 211.904 | 2019 | Details |
ReTreevAIbleHet project ontwikkelt ReTreevAIble, een datagestuurde oplossing voor beleidsmakers om urban forestation te verbeteren met AI-ondersteunde analyses van boomgezondheid en biodiversiteit. | Mkb-innovati... | € 199.850 | 2022 | Details |
Autoforestation Mode: ONForest Maker is an automated planting platform that streamlines reforestation and data collection to enhance efficiency and management in restoring global woodlands. | EIC Accelerator | € 2.499.574 | 2022 | Details |
Bepaling van lokaal biomassapotentieel met Flying SensorsDit project onderzoekt de haalbaarheid van het gebruik van drones voor het in kaart brengen van lokaal houtige biomassa, met als doel een innovatieve logistieke dienst voor de biomassaketen te ontwikkelen. | Mkb-innovati... | € 19.968 | 2020 | Details |
Remote Sensing for carbon stocks measurement in food supply chains
Het project ontwikkelt een Remote Sensing service om de koolstofopslag in koffie- en cacaoplantages te meten, ter ondersteuning van merken bij het verminderen van hun ecologische voetafdruk.
TreeTracker.ai
TreeTracker ontwikkelt AI-algoritmen voor snellere en objectievere boominspecties, waardoor de benutting van bomen in klimaatadaptatie verbetert en arbeidsintensieve processen worden verminderd.
ReTreevAIble
Het project ontwikkelt ReTreevAIble, een datagestuurde oplossing voor beleidsmakers om urban forestation te verbeteren met AI-ondersteunde analyses van boomgezondheid en biodiversiteit.
Autoforestation Mode: ON
Forest Maker is an automated planting platform that streamlines reforestation and data collection to enhance efficiency and management in restoring global woodlands.
Bepaling van lokaal biomassapotentieel met Flying Sensors
Dit project onderzoekt de haalbaarheid van het gebruik van drones voor het in kaart brengen van lokaal houtige biomassa, met als doel een innovatieve logistieke dienst voor de biomassaketen te ontwikkelen.