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
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Geosciences
Volume 8
Issue 2
10.3390/geosciences8020049
geosciences-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

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

by
Ramona Magno
1,2,*,
Tiziana De Filippis
1,
Edmondo Di Giuseppe
1,
Massimiliano Pasqui
1,
Leandro Rocchi
1 and
Bernardo Gozzini
2
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.
Geosciences 2018, 8(2), 49; https://doi.org/10.3390/geosciences8020049
Submission 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)
Browse Figures
Versions Notes

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.
Keywords: drought observatory; drought indices; remote sensing; spatial data infrastructure; interoperability; dissemination drought observatory; drought indices; remote sensing; spatial data infrastructure; interoperability; dissemination

Share and Cite

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. https://doi.org/10.3390/geosciences8020049

AMA 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(2):49. https://doi.org/10.3390/geosciences8020049

Chicago/Turabian Style

Magno, Ramona, Tiziana De Filippis, Edmondo Di Giuseppe, Massimiliano Pasqui, Leandro Rocchi, and Bernardo Gozzini. 2018. "Semi-Automatic Operational Service for Drought Monitoring and Forecasting in the Tuscany Region" Geosciences 8, no. 2: 49. https://doi.org/10.3390/geosciences8020049

APA Style

Magno, R., De Filippis, T., Di Giuseppe, E., Pasqui, M., Rocchi, L., & Gozzini, B. (2018). Semi-Automatic Operational Service for Drought Monitoring and Forecasting in the Tuscany Region. Geosciences, 8(2), 49. https://doi.org/10.3390/geosciences8020049

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop