ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Современные проблемы дистанционного зондирования Земли из космоса
физические основы, методы и технологии мониторинга окружающей среды, потенциально опасных явлений
и объектов


Современные проблемы дистанционного зондирования Земли из космоса. 2007. В.4. Т.1. С. 77-84

Event-driven information system specified for fast retrival of EO products to support disaster management activities

Abstract The paper presents the work aimed in developing special system for fast retrieval of EO products
from space data archives in emergency cases. Principal functionality of the system is based on event-driven approach
where EO products are automatically started to retrieve from historical archive in response of message on
disaster event in advance to client requests. As a result this approach allows substantial reducing of the time for
preparation of space products dissemination packages in response of client requests. The paper describes principal
architecture design of the system. It incorporates such main modules as Message Listener, Event Nominator, and
Product-in-advance Manager. Message Listener reads (or listen for) information, that contains possible messages
from disaster monitoring system, and registers provisional message parameters. Event Nominator reads messages,
extracts and analyzes their parameters, and concludes what and how intensive disaster event takes place. In addition
Event Nominator includes tools for enhancement of nomination technique - retrograde analysis of conclusions
is conducted by using the knowledge of event consequences. Product-in-advance Manager has to prepare data collections
on events recovered by Event Nominator. Features of those collections are composed accordingly to geolocation,
time, and type of event. Product-in-advance Manager enables learning the suitability of collection for previewed
requests: it is based on reciprocal analysis of users preferences on in advance prepared products. Principal
functionality of the design was implemented in a case study of space FIRE RAS data archive upgrading aiming to
enable fast data provision required by consequences of seismic disaster.
Полный текст

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