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Remote Sensing Solutions (Germany)
9 Projects, page 1 of 2
  • Funder: European Commission Project Code: 101056804
    Overall Budget: 6,604,860 EURFunder Contribution: 6,604,850 EUR

    The REWET project will facilitate the sustainable restoration and conservation of terrestrial wetlands – freshwater wetlands, peatlands, and floodplains. To do so, REWET draws upon the network of carefully selected seven demonstrators (Open Labs ≥ 2400 ha in total) that cover a range of local conditions, geographic characteristics, governance structures and social/cultural settings to fully understand the wetlands-carbon-climate nexus and provide an replication plan to boost successful wetlands restoration throughout Europe and internationally. In the Open Labs, the most fit-for-purpose technologies will be applied for the monitoring of GHG (Eddy Covariance towers, satellite imagery, field measurements), biodiversity, and meteorological events. Furthermore, the social aspect will be analysed, by evaluating gender differences, locals, and key stakeholders acceptance. REWET has two additional strong scientific pillars: the assessment of EU wetlands status in Europe and modelling. Together with the Open Labs, they will fill out the gaps on wetlands science and provide guidance for cost-effective restoration and monitoring practices that are environmentally friendly, compatible with the future climate and provide a wide range of ecosystem services. As main outcomes, REWET will deliver a wetlands inventory with carbon sink potential, models for wetlands GHG emissions/sequestration under different scenarios including climate change, policy recommendations for wetlands restoration, sound business models and a roadmap for replication. The REWET consortium is a transdisciplinary partnership between researchers, industry partners (SME), non-profit entities, responsible agencies at the local and watershed/regional level and one international organisation, dedicated to achieving the desired outcomes of the project.

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  • Funder: European Commission Project Code: 213634
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  • Funder: European Commission Project Code: 101219060
    Overall Budget: 9,999,470 EURFunder Contribution: 9,999,470 EUR

    ForPeat is an ambitious research project that will advance science-based approaches to optimise the management of forested peatland. At its core, the project will showcase innovative, sustainable forest practices and nature restoration goals on peat soils, focusing on rewetting and water conservation techniques. These demonstrations will serve as Open Labs, illustrating how to balance climate positivity with biodiversity enhancement. A key aspect of ForPeat assesses the carbon sequestration benefits of forested peatlands in relation to their management and how forest harvesting impacts nutrient cycles, sediment movement, dissolved organic carbon exports from forest peat soils and biodiversity. This comprehensive analysis will provide crucial indicators and baselines to maximise climate change mitigation, adaptation, and biodiversity conservation. To stay at the forefront of environmental monitoring, ForPeat will integrate AI and robotics into remote-sensing and field-data collection methods. ForPeat will explore how these demonstrated activities can be replicated and scaled up, with a focus on developing financial incentives under the EU certification framework. This research will translate into practical recommendations for policymakers and land managers. The project is built on collaboration, employing a multi-actor approach that brings together diverse stakeholders from landowners and foresters to scientists, public authorities, and industry representatives. This inclusive strategy ensures all relevant voices are considered throughout the project's lifecycle, aiming to pave the way for a more sustainable, resilient future for forested peatlands.

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  • Funder: European Commission Project Code: 263142
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  • Funder: European Commission Project Code: 101156799
    Funder Contribution: 7,961,520 EUR

    The ClimAIr project will expand the evidence-based understanding of climate change, air pollution, and non-communicable respiratory diseases by using Artificial Intelligence (AI) tools. It will gather data on greenhouse gases levels and disaster risks, information on serious air pollutants and respiratory diseases' prevalence. The AI-powered tools will be employed to generate better intervention methods and improve public health outcomes. Federated Learning (FL) will be used to develop AI models to protect patients' privacy. By raising public awareness and delivering the ClimAIr tool – specifically designed to health workers, urban planners and policy makers - the project aims to influence policy decisions, promote healthier environments, and reduce respiratory diseases in Europe, which will be tested and validated the ClimAIr tool in specific municipalities that are part of the project. ClimAIr draws on a consortium of 21 partners from 15 European countries, including carefully selected health centres across Europe – in Spain, Luxembourg, Ukraine, Italy, France, Germany, Greece, Romania and Poland – focused on respiratory diseases, which will provide disease data and explore metabolic routes of the studied contaminants/diseases. ClimAIr is composed of an interdisciplinary team formed by research centres, ethical AI and modelling experts, SSH specialists, municipal governance, and a Communication & Dissemination (C&D) expert team dedicated to achieving and spread the results of the project.

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