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

Mosaics are important tools to help the monitoring of:Mosaics are important tools to help the monitoring of:

•Global Warming•Global Warming

•Deforestation•Deforestation

Mosaics (Level3 Products)Mosaics (Level3 Products)

•Desertification•Desertification

•Natural or environmental disasters•Natural or environmental disasters

•Meteorological phenomena•Meteorological phenomena

MIRAVIMIRAVI

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

MosaicMosaic

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 IntegrationMOSRI Integration

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

MOSRI ExportsMOSRI Exports

Data from Miravi can be immediately visualized with Google EarthData from Miravi can be immediately visualized with Google Earth

MOSRI FrameworkMOSRI Framework

•Abstraction from data layer•Abstraction from data layer

•Managing of several types of data•Managing of several types of data

•Scalable in terms of power•Scalable in terms of power

•All historical data are available simultaneously

•All historical data are available simultaneously

•Optimized storage and classification of the data

•Optimized storage and classification of the data

MOSRI High Level ArchitectureMOSRI High Level Architecture

I nternet Link

Acquisition

User Access

Level0 Generator SRRS

Data Driven Interface

SRRSand

MOSRIWebServer

Repository + Metadata

MOSRI

Repository + Metadata

Data Driven Interface

Image Generation

Projection and Mosaics

MOSRI Framework UsageMOSRI Framework Usage

Pixel at (Lat, Lon)

AvailableData (h)

MOSRI Data Manager

MOSRI Common API

User Module MOSRI Scheduler

/* Algorithm Example */

…#include “mosri.h”

main { for each coordinate { loadGeoInput (Lat, Lon, h); writeGeoOutput (Lat, Lon, value); }}

Compiling User Module

StandaloneEnvironment

MO

SR

I Com

mon A

PI S

TU

BS

RuntimeEnvironment

Sim

ulated Data

Advantages of using the MOSRI Framework:Advantages of using the MOSRI Framework:

•Multi Processing•Multi Processing

•Multi Threading•Multi Threading

MOSRI AdvantagesMOSRI Advantages

•Capacity to process any kind of geo-located image data•Capacity to process any kind of geo-located image data

•Algorithm separate from data layer•Algorithm separate from data layer

•Easy Instantiation•Easy Instantiation

MOSRI PerformanceMOSRI Performance

World Map

256X

256

MERIS Reduced Resolution projected at 0.02 degrees/ pixel

makes an image with a resolution of18000 x 9000 Pixels

The Computational Unit is a tile of

256 x 256 pixels

2556 CUThere are 71x36 tiles (computational units) in a

18000 x 9000 Pixels resolution image

360°

18

0°

Each Computational Unit (CU) is calculated in less than 10 seconds by a single VPU

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)

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 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

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 dataExample of processing of 6 months of complete Meris Reduced Resolution data

MOSRI MosaicMOSRI Mosaic

Meris Reduced Resolution MosaicGenerated using 6 months of dataJanuary 2008 – June 2008

Meris Reduced Resolution MosaicGenerated using 6 months of dataJanuary 2008 – June 2008

MOSRI Mosaic DetailsMOSRI Mosaic Details

Meris Reduced Resolution MosaicGenerated using 6 months of dataJanuary 2008 – June 2008

Meris Reduced Resolution MosaicGenerated using 6 months of dataJanuary 2008 – June 2008

MOSRI Demo Versionwww.eosnap.com

MOSRI Demo Versionwww.eosnap.com