Mosaics are important tools to help the monitoring of: Global Warming Deforestation Mosaics (Level3 Products) Desertification Natural or environmental disasters Meteorological phenomena

MIRAVI Distributed multi-mission architecture with a central catalogue and a data driven processing system

Mosaic We presented our first Mosaic in April 2007 during the Envisat Symposium We presented our first Mosaic in April 2007 during the Envisat Symposium

MOSRI Integration Projected images can be seen directly in the web interface and Mosaics are used as a background map

MOSRI Exports Data from Miravi can be immediately visualized with Google Earth

MOSRI Framework Abstraction from data layer Managing of several types of data Scalable in terms of power All historical data are available simultaneously Optimized storage and classification of the data

MOSRI High Level Architecture MOSRI High Level Architecture

MOSRI Framework Usage MOSRI Framework Usage

Advantages of using the MOSRI Framework: Multi Processing Multi Threading MOSRI Advantages Capacity to process any kind of geo- located image data Algorithm separate from data layer Easy Instantiation

MOSRI Performance MOSRI Performance Each Computational Unit (CU) is calculated in less than 10 seconds by a single VPU MOSRI Reference Hardware is composed of 112 Virtual Processing Units (VPU) The standard algorithm takes less than 4 minutes to generate a full mosaic The optimized algorithm, using a smart pixel selection, takes less than 1 minute to generate a full mosaic Example of processing of 6 months of complete Meris Reduced Resolution data

MOSRI Mosaic Meris Reduced Resolution Mosaic Generated using 6 months of data January 2008 – June 2008 Meris Reduced Resolution Mosaic Generated using 6 months of data January 2008 – June 2008

MOSRI Mosaic Details Meris Reduced Resolution Mosaic Generated using 6 months of data January 2008 – June 2008 Meris Reduced Resolution Mosaic Generated using 6 months of data January 2008 – June 2008

MOSRI Demo Version MOSRI Demo Version