Quantifying the Impact of Spatiotemporal Resolution on the Interpretation of Fluvial Geomorphic Feature Dynamics From Sentinel 2 Imagery: An Application on a Braided River Reach in Northern Italy

Machine learning algorithms applied on the publicly available Sentinel 2 images (S2) are opening the opportunity to automatically classify and monitor fluvial geomorphic feature (such as sediment bars or water channels) dynamics across scales. However, there are few analyses on the relative importance of S2 spatial versus temporal resolution in the context of geomorphic research. In a dynamic, braided reach of the Sesia River (Northern Italy), we thus analyzed how the inherent uncertainty associated with S2's spatial resolution (10 m pixel size) can impact the significance of the active channel (a combination of sediment and water) delineation, and how the S2's weekly temporal resolution can influence the interpretation of its evolutionary trajectory. A comparison with manually classified images at higher spatial resolutions (Planet: 3 m and orthophoto: 0.3 m) shows that the automatically classified water is ∼20% underestimated whereas sediments are ∼30% overestimated. These classification errors are smaller than the geomorphic changes detected in the 5 years analyzed, so the derived active channel trajectory can be considered robust. The comparison across resolutions also highlights that the yearly Planet‐ and S2‐derived active channel trajectory are analogous and they are both more effective in capturing the river geomorphic response after major flood events than the trajectory derived from sequential multiannual orthophotos. More analyses of this type, across different types of river could give insights on the transferability of the spatial uncertainty boundaries found as well as on the spatial and temporal resolution trade‐off needed for supporting different geomorphic analyses

Professional practice, competence, and education related to COVID-19: A mixed-methods light study of physiotherapists' experiences

Background: Coronavirus Disease 2019 (COVID-19) became a significant challenge for the work and personal experience of physiotherapists (PTs). Objective: To investigate how the work activities of PTs in a region in Italy have changed, describe the reasons for change, perceived competence, and effectiveness of professional education, and explore their personal experience. Methods: We adopted a monocentric convergent mixed-methods light-questionnaire variant study. The questionnaire contains both closed-ended and open-ended questions. Quantitative and qualitative data were combined to interpret the results. Results: Among 78 respondents (response rate 24.4%), 87.2% worked during the pandemic, 52.9% treated patients with COVID-19, and 45.6% changed their working activities. Professional competence was perceived as low in intensive and sub-intensive care settings. The major critical aspect of professional education was respiratory rehabilitation. Life-learning education was judged as effective, even if mainly focused on safety. Nine themes emerged from the analysis of the PTs' experiences: 1) Physiotherapy during COVID-19; 2) Fear and negative feelings; 3) Positive aspects; 4) Organization and management; 5) Prevention measures; 6) Patients; 7) Change; 8) Information; and 9) Professional education. Conclusions: PTs who have direct experience with patients with COVID-19 showed great resilience. They overcame the first phase of disorientation and fear, despite a specific lack of competence in the respiratory field