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ASIM Project

Automatic, Semantic Image Information Mining from Time Series of HR/VHR Images (ASIM)

MEEO (I)

The Multi-sensor Evolution Analysis (MEA) system is a web application to monitor the land cover changes and the dynamic phenomena that may have relevant effects on environment and on mankind. The Automatic, Semantic Image Information Mining from Time Series of HR/VHR Images (ASIM) Project aims at enhance the functionality of the MEA system in order to manage additional EO data (i.e. land and sea surface temperatures, ocean salinity, etc.).
The new system will also support the new generation satellite products: the adoption of the OGC standards and of the Military Reference Grid System (MGRS) combined with the usage of the Oracle technology  will allow handling Sentinel family products.

 Image  

Figure 1: MEA Architecture

Project a Glance

The project is divided in two Phases:

Phase 1: Feasibility Studies and Applications Definition

- Heterogeneous Multi-temporal Database Feasibility Study

- N-MEA Database External Access Modes and MGRS Implementation AND MGRS Implementation Feasibility Study

- Validation Group Creation and Applications Definition

- MEA Migration to Oracle

Phase 2: System Implementation and Demonstration Activities

- N-MEA Design and Implementation

- System Demonstration activities

The ASIM project plan foresees the detailing of Phase 2 activities at the end of Phase 1.

Objectives and Benefits

The ASIM project objectives are:

1) migrate the existing MEA system to Oracle database technology;

2) modify the existing MEA system to support the MGRS grid system;

3) extend the MEA system in its functionalities, data handling modes, and capabilities to interface with external systems;

4) perform feasibility studies to deliver a multipurpose geospatial database infrastructure in support to the scientific community;

5) validate the developed system with support of the scientific community in definition and performance of case studies.

Application and Result Expected

The main project expectations include:

1) The implementation of the N-MEA software tool to monitor dynamic phenomena (not only restricted to the land cover changes);

2) The verification/demonstration of the usability of the N-MEA platform with practical use cases;

3) The implementation of a software tool ready for the new generation satellite products (Sentinel family data).

 


Contributors to this page: Michele Iapaolo
Simone Mantovani
SSE Operations Team .

Page last modified on Friday 22 of May 2015 11:11:55 CEST by Michele Iapaolo.