0000000000391733
AUTHOR
Valentina Pagani
Downstream Services for Rice Crop Monitoring in Europe: From Regional to Local Scale
The ERMES agromonitoring system for rice cultivations integrates EO data at different resolutions, crop models, and user-provided in situ data in a unified system, which drives two operational downstream services for rice monitoring. The first is aimed at providing information concerning the behavior of the current season at regional/rice district scale, while the second is dedicated to provide farmers with field-scale data useful to support more efficient and environmentally friendly crop practices. In this contribution, we describe the main characteristics of the system, in terms of overall architecture, technological solutions adopted, characteristics of the developed products, and funct…
Scaffolding patterns of dialogic exchange in toddler classrooms
The present study investigates how often episodes of dialogic exchange can be identified in educator–toddler interactions during play and emerging academic activities, what kind of scaffolding strategies educators use during the episodes of dialogic exchange and, ultimately, what kind of scaffolding patterns of dialogic exchange can be identified based on educators' use of scaffolding strategies. Educator–child interactions were video-recorded in seven European countries, in two toddler classrooms in each country. The video recordings of emerging academic and play activities were transcribed and analysed, combining the principles of theory and a data-driven content analysis. First, 69 episo…
A high-resolution, integrated system for rice yield forecasting at district level
Abstract To meet the growing demands from public and private stakeholders for early yield estimates, a high-resolution (2 km × 2 km) rice yield forecasting system based on the integration of the WARM model and remote sensing (RS) technologies was developed. RS was used to identify rice-cropped area and to derive spatially distributed sowing dates, and for the dynamic assimilation of RS-derived leaf area index (LAI) data within the crop model. The system—tested for the main European rice production districts in Italy, Greece, and Spain—performed satisfactorily; >66% of the inter-annual yield variability was explained in six out of eight combinations of ecotype × district, with a maximum of 8…