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Real-Time Cartography in Operational Hydrology
Real-Time Cartography in Operational Hydrology
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123,19 €
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175,99 €
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For improved flood management, hydrologists in crisis committees need the most current information in a customizable, dynamic and geo-referenced form to better advise their peers or the public. Increase of lead time is achieved by providing interactive, visual methods in a cartographic monitoring infrastructure, allowing hydrologists to retrieve and bundle their desired flood information in a time-saving way. Vast amounts of real-time data are valorized by novel methods which facilitate their i…

Real-Time Cartography in Operational Hydrology (el. knyga) (skaityta knyga) | knygos.lt

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For improved flood management, hydrologists in crisis committees need the most current information in a customizable, dynamic and geo-referenced form to better advise their peers or the public. Increase of lead time is achieved by providing interactive, visual methods in a cartographic monitoring infrastructure, allowing hydrologists to retrieve and bundle their desired flood information in a time-saving way. Vast amounts of real-time data are valorized by novel methods which facilitate their integrated, interactive and individual use in time-critical hydrological situations. Novel data modeling and data access methods are introduced for real-time and large time series data. The involved problems are tackled by (1) a central spatiotemporal database which handles historical, real-time and forecast data, by (2) a decentralized Web-based cartographic user interface, i.e., by providing maps to access data, and by (3) various interactive tools on this interface for map manipulation and data exploration.

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For improved flood management, hydrologists in crisis committees need the most current information in a customizable, dynamic and geo-referenced form to better advise their peers or the public. Increase of lead time is achieved by providing interactive, visual methods in a cartographic monitoring infrastructure, allowing hydrologists to retrieve and bundle their desired flood information in a time-saving way. Vast amounts of real-time data are valorized by novel methods which facilitate their integrated, interactive and individual use in time-critical hydrological situations. Novel data modeling and data access methods are introduced for real-time and large time series data. The involved problems are tackled by (1) a central spatiotemporal database which handles historical, real-time and forecast data, by (2) a decentralized Web-based cartographic user interface, i.e., by providing maps to access data, and by (3) various interactive tools on this interface for map manipulation and data exploration.

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