A WebGIS Application for Cloud Storm Monitoring / Kolios Stavros,Loukadakis Dimitrios,Stylios Chrysostomos,Kazantzidis Andreas,Petunin Aleksandr // . - 2016. - V. 615, l. . - P. 151-163.

ISSN/EISSN:

1865-0929 / нет данных

Type:

Proceedings Paper

Abstract:

Extreme weather phenomena (i.e. heavy precipitation, hail and lightings) frequently cause damages in properties and agricultural production and usually originate from the cloud storms. Automated systems able to provide timely and accurate monitoring and predictions would contribute to prevent the effects of physical disasters and reduce economic losses. Nowadays, meteorological satellites have a significant role in weather monitoring and forecasting, providing accurate and high resolution data. Such data can be analyzed using Geographical Information Systems (GIS) and modern web technologies to develop integrated automated web based monitoring systems. This study describes a WebGIS application focused on monitoring and forecasting cloud tops of storm evolution. The application has developed using modern tools, to exploit their features through an innovative web based monitoring system. There are used open source framework to ensure mobility, stability and portability of the application.

Author keywords:

Webgis; Cloud monitoring; Satellite images; Remote sensing RAINFALL ESTIMATION; CONVECTIVE SYSTEMS; MSG DATA

DOI:

10.1007/978-3-319-40180-5\_11

Web of Science ID:

ISI:000389806000011

Соавторы в МНС:

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Другие поля

Поле	Значение
Editor	Arnicans, G and Arnicane, V and Borzovs, J and Niedrite, L
Booktitle	DATABASES AND INFORMATION SYSTEMS, DB\&IS 2016
Series	Communications in Computer and Information Science
Note	12th International Baltic Conference on Databases and Information Systems (DB and IS), Riga, LATVIA, JUL 04-06, 2016
Organization	Univ Latvia, Fac Comp; Exigen Serv Latvia; IEEE; Springer
Publisher	SPRINGER INT PUBLISHING AG
Address	GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
Language	English
ISBN	978-3-319-40180-5; 978-3-319-40179-9
Keywords-Plus	RAINFALL ESTIMATION; CONVECTIVE SYSTEMS; MSG DATA
Research-Areas	Computer Science
Web-of-Science-Categories	Computer Science, Information Systems
Author-Email	stavroskolios@yahoo.gr dimitris.loukadakis@gmail.com stylios@teiep.gr akaza@upatras.gr a.a.petunin@urfu.ru
ORCID-Numbers	Petunin, Aleksandr/0000-0002-1058-7672
Number-of-Cited-References	17
Usage-Count-Last-180-days	2
Usage-Count-Since-2013	2
Doc-Delivery-Number	BG5XW