Next Article in Journal
Assessing Flood Hazard at River Basin Scale with an Index-Based Approach: The Case of Mouriki, Greece
Next Article in Special Issue
Developing a Remotely Sensed Drought Monitoring Indicator for Morocco
Previous Article in Journal
Assessment of a Simplified Connectivity Index and Specific Sediment Potential in River Basins by Means of Geomorphometric Tools
Previous Article in Special Issue
Drought Occurrences and Their Characteristics across Selected Spatial Scales in the Contiguous United States
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
Geosciences 2018, 8(2), 49; https://doi.org/10.3390/geosciences8020049

Semi-Automatic Operational Service for Drought Monitoring and Forecasting in the Tuscany Region

1
Institute of Biometeorology of the National Research Council (IBIMET-CNR), Via G. Caproni, 8, 50145 Florence, Italy
2
LaMMA Consortium of Tuscany Region, Via Madonna del Piano, 10, 70019 Sesto Fiorentino, Italy
*
Author to whom correspondence should be addressed.
Received: 15 December 2017 / Revised: 24 January 2018 / Accepted: 29 January 2018 / Published: 2 February 2018
(This article belongs to the Special Issue Drought Monitoring and Prediction)
View Full-Text   |   Download PDF [8395 KB, uploaded 5 February 2018]   |  

Abstract

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. View Full-Text
Keywords: drought observatory; drought indices; remote sensing; spatial data infrastructure; interoperability; dissemination drought observatory; drought indices; remote sensing; spatial data infrastructure; interoperability; dissemination
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Magno, R.; De Filippis, T.; Di Giuseppe, E.; Pasqui, M.; Rocchi, L.; Gozzini, B. Semi-Automatic Operational Service for Drought Monitoring and Forecasting in the Tuscany Region. Geosciences 2018, 8, 49.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Geosciences EISSN 2076-3263 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top