Suchergebnisse

The objective of the fraXity study is to provide homecare professionals with valid and reliable frailty and complexity screening tools implementable in routine practice. Data collected by trained nurses at participants' home by means of interRAI-HC standardized interviews serve to develop computation algorithms for a frailty index (FI) and a complexity index (CI). A prospective observational case-control longitudinal design is used to assess the predictive validity of the indices with respect to undesirable health outcomes. Repeated measurement occasions, separated by 6-month intervals, also allow estimating intra-individual change in frailty and complexity. The baseline sample of volunteers aged 65 or older is divided into three groups according to a priori risks of adverse health outcomes: recipients of formal home care (case 1); recipients of formal home assistance (case 2); individuals free of formal home services (control). A comparative approach allows documenting frailty and complexity rates across groups as well as their evolution over time.

Developing better agricultural monitoring capabilities based on Earth Observation data is critical for strengthening food production information and market transparency. The Sentinel-2 mission has the optimal capacity for regional to global agriculture monitoring in terms of resolution (10–20 meter), revisit frequency (five days) and coverage (global). In this context, the European Space Agency launched in 2014 the "Sentinel¬2 for Agriculture" project, which aims to prepare the exploitation of Sentinel-2 data for agriculture monitoring through the development of open source processing chains for relevant products. The project generated an unprecedented data set, made of "Sentinel-2 like" time series and in situ data acquired in 2013 over 12 globally distributed sites. Earth Observation time series were mostly built on the SPOT4 (Take 5) data set, which was specifically designed to simulate Sentinel-2. They also included Landsat 8 and RapidEye imagery as complementary data sources. Images were pre-processed to Level 2A and the quality of the resulting time series was assessed. In situ data about cropland, crop type and biophysical variables were shared by site managers, most of them belonging to the "Joint Experiment for Crop Assessment and Monitoring" network. This data set allowed testing and comparing across sites the methodologies that will be at the core of the future "Sentinel¬2 for Agriculture" system.