A0271
Title: Boosting climate change adaptation and mitigation by integrated remote sensing image analysis
Authors: Andrea Marinoni - UiT the Arctic University of Norway (Norway) [presenting]
Abstract: Remote sensing image analysis enhances our understanding of physical phenomena by combining records acquired from different devices and platforms and allowing higher granularity of information to be extracted about events occurring on the ground. The ability to provide a synoptic view of large areas at regular intervals means remote sensing is fundamental in obtaining a precise characterisation of the nature and extent of dynamic phenomena such as those related to climate change. The proliferation of remote sensing data also gives rise to greater diversity and dimensionality of related datasets. This development allows better monitoring and more precise characterisation of key environmental parameters. Integrating remote sensing images is shown, additional data collected on the ground and via assessment methods, and digital decision-making datasets and products into a coherent multi-scale, multi-level, cross-sectoral climate change adaptation framework that allows the transition towards a climate-neutral and sustainable economy. The result of this approach is the co-creation of regional adaptation pathways with stakeholders, based on the exploration and sequencing of sets of possible actions, to optimise adaptation and mitigation approaches to climate change in a specific region according to the needs of local communities and regional socio-economic development factors.
