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

机译:托斯卡纳地区干旱监测和预报的半自动业务服务

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摘要

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.
机译:改进了为托斯卡纳地区开发的干旱监测和预报系统,以便为决策,水务部门,研究人员和一般利益相关者提供半自动,更详细,及时和全面的业务服务。来自不同来源(区域气象站网络,MODIS Terra卫星和CHIRPS / CRU降水数据集)的地面和卫星数据通过基于PostgreSQL / PostGIS的开源,可互操作的SDI(空间数据基础架构)进行集成,以产生植被和降水允许跟踪干旱事件的发生和发展的指数。 SDI允许通过不同的渠道(从网页和每月公告,到可互操作的Web服务以及全面的气候服务)传播适合不同最终用户的全面,最新和可定制的信息。 Web服务允许即时进行地理空间详细说明,并且可以使用新的输入/输出数据来增加地理数据库,以响应特定请求或提高空间分辨率。

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