[HTML][HTML] Semi-automatic operational service for drought monitoring and forecasting in the Tuscany region

R Magno, T De Filippis, E Di Giuseppe, M Pasqui… - Geosciences, 2018 - mdpi.com
R Magno, T De Filippis, E Di Giuseppe, M Pasqui, L Rocchi, B Gozzini
Geosciences, 2018mdpi.com
A drought-monitoring and forecasting system developed for the Tuscany region was
improved in order to provide a semi-automatic, more detailed, timely and comprehensive
operational service for decision making, water authorities, researchers and general
stakeholders. Ground-based and satellite data from different sources (regional
meteorological stations network, MODIS Terra satellite and CHIRPS/CRU precipitation
datasets) are integrated through an open-source, interoperable SDI (spatial data …
A drought-monitoring and forecasting system developed for the Tuscany region was improved in order to provide a semi-automatic, more detailed, timely and comprehensive operational service for decision making, water authorities, researchers and general stakeholders. Ground-based and satellite data from different sources (regional meteorological stations network, MODIS Terra satellite and CHIRPS/CRU precipitation datasets) are integrated through an open-source, interoperable SDI (spatial data infrastructure) based on PostgreSQL/PostGIS to produce vegetation and precipitation indices that allow following of the occurrence and evolution of a drought event. The SDI allows the dissemination of comprehensive, up-to-date and customizable information suitable for different end-users through different channels, from a web page and monthly bulletins, to interoperable web services, and a comprehensive climate service. The web services allow geospatial elaborations on the fly, and the geo-database can be increased with new input/output data to respond to specific requests or to increase the spatial resolution.
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