Boosting knowledge on climate change adaptation and mitigation in Europe by integrated remote sensing
- Paper number
GLOC-2023,T,IP,x74944
- Author
Dr. Andrea Marinoni, University of Tromso, Norway
- Coauthor
Dr. Aitor Corchero, Spain
- Coauthor
Dr. Hannah Arpke, Spain
- Coauthor
Dr. Laura Durnford, Germany
- Coauthor
Dr. Stefania Munaretto, The Netherlands
- Coauthor
Dr. Lydia Vamvakeridou-Lyroudia, The Netherlands
- Coauthor
Prof. Christos Makropoulos, National Technical University of Athens, Greece
- Coauthor
Dr. Daniel Wicke, Germany
- Coauthor
Dr. Carlo Jaeger, Germany
- Year
2023
- Abstract
Multimodal remote sensing enhances our understanding of physical phenomena by combining records acquired from different remote sensing devices and platforms, and allowing higher granularity of information to be extracted about the physical-chemical processes occurring on the ground. The ability to provide a synoptic view of large areas at regular intervals means multimodal remote sensing is fundamental in obtaining a precise characterisation of the nature and extent of, and yields the potential for analysing dynamic phenomena such as those affected by climate change. The proliferation of remote sensing data also gives rise to greater diversity and dimensionality of related datasets. This development offers the opportunity for better monitoring and more precise characterisation of key environmental parameters, such as: biophysical parameters assessment; natural resources use and limits; water quality assessment; atmospheric pollution estimation; and monitoring natural disasters and catastrophic events. The H2020 Green Deal project IMPETUS aims to integrate remote sensing and other novel digital decision-making datasets and products into a coherent multi-scale, multi-level, cross-sectoral climate change adaptation framework, to accelerate the transition towards a climate-neutral and sustainable economy. This goal will be achieved through the development and validation of Resilience Knowledge Boosters (RKBs). The RKBs are open knowledge spaces customised for different regions, within which stakeholders will be able to co-design, monitor and evaluate climate adaptation measures using available data about climate change impacts on the environment, society (including traditions and cultural values), economy and infrastructure. These architectures can be implemented at multiple scales, e.g., at different governance levels (local-local, region-region) or at multiple administrative levels (local-regional-international). In the context of RKBs, remote sensing data will be complemented by additional data collected on the ground and via assessment methods, to support decision and policy making within a process of co-creation with local stakeholder communities. This approach will make the RKBs open federated spaces for sharing data, knowledge and experiences. The result will be the co-creation of regional Adaptation Pathways, based on the exploration of sets of possible actions, with the aim of optimising adaptation and mitigation approaches to climate change in specific regions according to the needs of local communities. This is expected to increase community empowerment in terms of adopting and deploying Innovation Packages as part of coherent Adaptation Pathways. The RKB approach will be deployed and validated in seven EU biogeographical regions (Continental, Coastal, Mediterranean, Atlantic, Arctic, Boreal, Mountainous) covering key community systems, climate threats, and multi-level governance regimes.
- Abstract document
- Manuscript document
(absent)