GRASS GIS module for processing of rainfall data from cellular networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F15%3A00241456" target="_blank" >RIV/68407700:21110/15:00241456 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

GRASS GIS module for processing of rainfall data from cellular networks

Popis výsledku v původním jazyce

Although path-integrated rainfall measurements by microwave attenuation was suggested already by Olsen, et al., (1978) it has attracted broader scientific interest already in recent decade with extensive worldwide development of cellular backhaul networks often composed of microwave links (MWL). MWL rainfall measurements are especially interesting for storm water management applications which require rainfall information of high spatial and temporal resolution often in real-time.The paper presents solution specifically developed for efficient MWL data processing. It is based on geographic information system (GIS) linked to PostgreSQL database. Described approach allows represents framework for processing and handling data within widespread free and open source geographic information system GRASS GIS (Landa, Neteler, et al., 2012) and take advantage of a comprehensive geospatial analytical package.

Název v anglickém jazyce

GRASS GIS module for processing of rainfall data from cellular networks

Popis výsledku anglicky

Although path-integrated rainfall measurements by microwave attenuation was suggested already by Olsen, et al., (1978) it has attracted broader scientific interest already in recent decade with extensive worldwide development of cellular backhaul networks often composed of microwave links (MWL). MWL rainfall measurements are especially interesting for storm water management applications which require rainfall information of high spatial and temporal resolution often in real-time.The paper presents solution specifically developed for efficient MWL data processing. It is based on geographic information system (GIS) linked to PostgreSQL database. Described approach allows represents framework for processing and handling data within widespread free and open source geographic information system GRASS GIS (Landa, Neteler, et al., 2012) and take advantage of a comprehensive geospatial analytical package.

Druh

O - Ostatní výsledky

CEP obor

DA - Hydrologie a limnologie

OECD FORD obor

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Projekt

<a href="/cs/project/GA14-22978S" target="_blank" >GA14-22978S: Predikce srážkového odtoku v urbanizovaných povodích na základě deštěm generovaného útlumu mikrovlnných spojů telekomunikační sítě</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů