Paper
25 August 2008 Integrated information to support decision makers
Daniele Biron, Francesco Zauli, Davide Melfi
Author Affiliations +
Abstract
Remote sensing from space plays an important role to know the environment. Today a lot of human activities look at satellite data to understand the situation and take decisions. For example the knowledge of meteorological conditions allow to plane civil protection missions and military campaigns. We can retrieve from satellite data series of parameters that can be used for different applications building applications to manage derived information. Decision makers have to take resolutions based on available information asking to put in evidence only useful parameters. A possible tool could supply pictures to visualize the situation or messages to initialize a numerical model of decision. The present paper wants to describe a possible application, giving an efficient instrument to positively conditioning military decision process. We simulated some possible missions and have designed an instrument to select and present environment parameters. It is also illustrated the concept of our application and shows some examples of output. The application is very flexible because it manages parameters retrieved from other applications. We show the integration of different Satellite Application Facilities products, applications of Italian Meteorological Service and conventional observations. In particular we have resolved some problems as: ingesting of user's requirements (parameters and geographical area), the retrieving of parameters in the database and optimization of spatial resolution.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniele Biron, Francesco Zauli, and Davide Melfi "Integrated information to support decision makers", Proc. SPIE 7088, Remote Sensing Applications for Aviation Weather Hazard Detection and Decision Support, 70880K (25 August 2008); https://doi.org/10.1117/12.794738
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KEYWORDS
Satellites

Environmental sensing

Meteorology

Clouds

Meteorological satellites

Remote sensing

Climatology

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