all rights reserved © 2005, telespazio october, 03, 2005 page 1 a new vision of space

October, 03, 2005 All rights reserved © 2005, Telespazio

A new vision of spaceA new vision of space


International EOS/NPP Direct Readout Meeting, 3-6 October 2005

Annalaura Di Federico

TERRA MODIS and MSG products for hydrologic modelling and natural hazard monitoring


Index of presentationIndex of presentation

Overview

• MODIS

• MSG

Research and development

• COS-OT project

Sensors and Catalogues

Pre operational

• NOD project


OverviewOverview

Telespazio has developed Application Solutions for Public Administrations and the Industry in the following sectors:

– Natural resource management

– Natural hazard risk management

– Environmental Monitoring

– Urban planning and land management

– Planning and management of technological networks

– Defence and Security

– Info-mobility

TERRA MODIS and MSG data processing TERRA MODIS and MSG data processing fit NRT end users needs for natural hazard fit NRT end users needs for natural hazard monitoringmonitoring


SensorsSensors

TPZ MODIS products derive from optical images obtained from MODIS sensor equipment over Terra and Aqua satellite, acquired at Matera Space Center, Italy.

The images characteristics are the following::

Revisit time

12h

Channels and resolution: 2 channels with 250m resolution (red, NIR) 5 channels with 500m resolution (visible and infra-red) 29 channels with 1km resolution (infra-red and thermal)

TPZ MSG products derive from optical images obtained from SEVIRI sensor equipment over Meteosat Second Generation satellites, acquired at Matera Space Center and Rome, Italy.

The images characteristics are the following::

Revisit time

15'

Channels and resolution: 11 channels with 3km resolution (visible, near and medium infra-red)1 channels with 1km resolution (panchromatic)

MODIS

MSG


MODIS catalogue: imagesMODIS catalogue: images

Where

Matera Receiving Station

Description

Satellite images with all the MODIS channels coming from Terra, geo-located radiance

Original data

MODIS level 1/B or level 1/A

Coverage

Central Mediterranean basin NRT

Frequency

Once (twice) a day in the morning

Processing time

20'

Geometric resolution

250m, 500m and 1Km

Geographic reference system

Lat/Lon WGS84

Format

ENVI standard

Customization colour composition geographic reference system (Gauss Boaga) output format (GeoTIFF)


MODIS catalogue: surface reflectance and brillance temperatureMODIS catalogue: surface reflectance and brillance temperature

Description

Image containing reflectance and brillance temperature applied to MODIS band

Application

Atmosphere, Civil Protection

Environment, Modeling

Data source

MODIS level 1/B

Processing time

30'


250m, 500m e 1km

Geographic projection

Lat/Lon WGS84

Format

ENVI


MODIS catalogue: cloud maskMODIS catalogue: cloud mask

Description

The cloud coverage map represents the cloudy pixels on the ground.

Application

Atmosphere, Civil Protection, Hydro-geology

Data source

MODIS level 1/B

Processing time

15'


1km, re-sampled at 250m


Lat/Lon WGS84

Format

ENVI, GeoTIFF color palette


MODIS catalogue: vegetation indexMODIS catalogue: vegetation index

Description

A set of indexes (NDVI, SAVI, EVI, ARVI, LAI e FAPAR) indicating the vegetation presence and characteristics. Sea pixel and clouds can be removed.

Application

Civil Protection, Environment, renewable resources

Data sources

MODIS bands pre-processed and snow coverage

Processing time

20'


NDVI e SAVI: 250m; EVI, ARVI: 500m

(MODIS)


Lat/Lon WGS84

Format

ENVI, GeoTIFF colour palette


MODIS catalogue: land surface MODIS catalogue: land surface temperaturetemperature

Description

Maps of ground temperature (Celsius or Kelvin).

Sea and cloud are excluded.

Application

Civil Protection, Geology, Environment, Modeling

Data sources

MODIS 1/B, pre-processed MODIS bands and cloud coverage

Processing time

25'


1km


Lat/Lon WGS84, UTM ED50

Format

ENVI, GeoTIFF, GeoTIFF color palette


MODIS catalogue: fire risk indexMODIS catalogue: fire risk index

Description

Maps of fire risk level based on the LST and the vegetation index (Prosper-Laget et al., 1994), assuming that the vegetation index and the surface temperature can be correlated to the hydraulic stress affecting vegetation

Application

Civil Protection, Environment, Renewable Resources

Data sources

MODIS level 1/B

Processing time

25'


1km


Lat/Lon WGS84, UTM ED50, GaussBoaga Roma1940

Format

ENVI, GeoTIFF, GeoTIFF colour palette


MODIS catalogue: snow coverMODIS catalogue: snow cover

Description

Snow coverage map including information on the presence of water and clouds

Application

Civil Protection, Hydrology, Renewable Resources

Data sources

Pre-processed MODIS bands and cloud mask

Processing time

30'


1km


Lat/Lon WGS84

Format

ENVI, GeoTIFF, GeoTIFF colour palette


MODIS catalogue: hot spotsMODIS catalogue: hot spots

Description

Maps indicating pixels affected by fires of big size/intensity at the time of the data acquisition

Application

Civil Protection, Environment, Renewable Resources

Data source

MODIS level 1/B

Processing time

15'


1km



Format

ENVI, GeoTIFF, txt report


MODIS catalogue: change detection mapMODIS catalogue: change detection map

Description

Change detection map relative to the same scene obtained through a multi-temporal analysis by means of change detection algorithms

Application

Geology, Civil Protection, Hydrology, Environment, Renewable Resources

Data sources

A couple of MODIS images, co-registered and pre-processed

Processing time

30'


Depending on the data source resolution



Format

ENVI, GeoTIFF


MSG catalogue: imagesMSG catalogue: images

WhereRome and Matera Receiving Station

Description

Satellite images containing all SEVIRI channels available on MSG, geo referred at corresponding resolution

Original data

MSG level 1.5

Coverage

Europe and North Africa, NRT

Elapsing time

15‘FrequencyAt 15’, 30’, 45’, 00 every hour


1km and 3km

Geographic reference system


Format

ENVI standard and GeoTIFF

Customisation colour composition (visible and IR channels) geographic reference system (Gauss Boaga)


MSG catalogue: vegetation indexMSG catalogue: vegetation index

Description

A set of indexes (NDVI, SAVI, EVI, ARVI, LAI e FAPAR) indicating the vegetation presence and characteristics. Sea pixel and clouds can be removed.

Application

Civil Protection, Environment, renewable resources

Data sources

Pre-processed MSG bands

Coverage

Europe and North Africa

Processing time

20'


3km


Lat/Lon WGS84

Format

ENVI, GeoTIFF colour palette


MSG catalogue: change detectionMSG catalogue: change detection

DescriptionChange detection map relative to the same scene obtained through a multi-temporal analysis by means of change detection algorithms

ApplicationGeology, Civil Protection, Hydrology, Environment, Renewable Resources

Data sources

A couple of MODIS images, co-registered and pre-processed

CoverageEurope and North Africa Processing time

30'


Depending on input data



Format

ENVI, GeoTIFF


MSG catalogue: MSG animationMSG catalogue: MSG animation

Description

Animation based on a series of maps created automatically and « edited » as a movie

Application

Meteorology, Modeling

Data sources

Pre-processed MSG bands

Coverage

Europe and North Africa

Processing time

15'


1km o 3km


NA

Format

MPEG


Research and development: COS (OT) projectResearch and development: COS (OT) project

Industrial research and pre-competitive

project financed by MIUR to COS-OT

consortium.

Telespazio has been responsible for 2

research lines:

1)TELE_OR1: Innovative technologies

for territorial characterization through

SAR interferometry and super-resolution

images production

2)TELE_OR2: Integrated technologies

for remote sensed data processing

applied to the estimation of hydrologic

and hydraulic parameters


Research and development: COS (OT) - TELE_OR1Research and development: COS (OT) - TELE_OR1

Industrial research activities

1. Temporal combination of minimum curvature

2. 3D sparse unwrapping

3. Calibration methods

4. DIFSAR processing on wide areas (100 km x 100 km):

Basento, Molise, Napoli, Roma, Rovigo

5. SAR tomography

6. Apodization

SAR INTERFEROMETRY

SUPER-RESOLUTION


Research and development: COS (OT) - TELE_OR2Research and development: COS (OT) - TELE_OR2

Industrial research activities- Near real time application (basin scale)

MODIS data

MSG data

ENVISAT data

- VHR application (river scale)

land use

river dynamic

change detection

features extraction

high resolution ortho-photos

high resolution DEM

3D images and animation

Pre-competitive development- GIS hidrology prototype


Pre-operational: NOD projectPre-operational: NOD project

NOD stands for NOD stands for Near Operational DemonstrationNear Operational Demonstration of the use of of the use of Satellite Systems for Fire Risk ManagementSatellite Systems for Fire Risk Management

NOD objective is to set up a NOD objective is to set up a demonstrationdemonstration of Earth Observation of Earth Observation application in application in Near Real TimeNear Real Time modality and in an operative modality and in an operative contextcontext

NOD phisolophy is to establish a tight NOD phisolophy is to establish a tight co-operationco-operation with the end-with the end-usersusers communities during all the project phases communities during all the project phases

NOD geographical scope is Europe and NOD consortium groups NOD geographical scope is Europe and NOD consortium groups several european providers and users developing a common several european providers and users developing a common Pan Pan European interfaceEuropean interface for the users to integrate their Decision for the users to integrate their Decision Supposrt SystemsSupposrt Systems

NOD stands for NOD stands for Near Operational DemonstrationNear Operational Demonstration of the use of of the use of Satellite Systems for Fire Risk ManagementSatellite Systems for Fire Risk Management

NOD objective is to set up a NOD objective is to set up a demonstrationdemonstration of Earth Observation of Earth Observation application in application in Near Real TimeNear Real Time modality and in an operative modality and in an operative contextcontext

NOD phisolophy is to establish a tight NOD phisolophy is to establish a tight co-operationco-operation with the end-with the end-usersusers communities during all the project phases communities during all the project phases

NOD geographical scope is Europe and NOD consortium groups NOD geographical scope is Europe and NOD consortium groups several european providers and users developing a common several european providers and users developing a common Pan Pan European interfaceEuropean interface for the users to integrate their Decision for the users to integrate their Decision Supposrt SystemsSupposrt Systems


NOD project: tasksNOD project: tasks

End userEnd user::• Exploit the NOD products (as long as the user operative Exploit the NOD products (as long as the user operative

activity will allow it)activity will allow it)• Provide (ground truth) validation dataProvide (ground truth) validation data• Evaluate the effectiveness of the proposed products and Evaluate the effectiveness of the proposed products and

serviceservice

NOD teamNOD team::• Provide fire productsProvide fire products• Verify the correct behavior of the system and possibly Verify the correct behavior of the system and possibly

apply improvementsapply improvements• Analyse ground truth data and compare to fire productsAnalyse ground truth data and compare to fire products• Collect and analyse user feedbacksCollect and analyse user feedbacks

End userEnd user::• Exploit the NOD products (as long as the user operative Exploit the NOD products (as long as the user operative

activity will allow it)activity will allow it)• Provide (ground truth) validation dataProvide (ground truth) validation data• Evaluate the effectiveness of the proposed products and Evaluate the effectiveness of the proposed products and

serviceservice

NOD teamNOD team::• Provide fire productsProvide fire products• Verify the correct behavior of the system and possibly Verify the correct behavior of the system and possibly

apply improvementsapply improvements• Analyse ground truth data and compare to fire productsAnalyse ground truth data and compare to fire products• Collect and analyse user feedbacksCollect and analyse user feedbacks


NOD project: products - Low Frequency Hot Spot Inventory (1/2)NOD project: products - Low Frequency Hot Spot Inventory (1/2)


NOD project: products - Low Frequency Hot Spot Inventory (2/2)NOD project: products - Low Frequency Hot Spot Inventory (2/2)


NOD project: products - High Frequency Hot Spot Inventory (1/2)NOD project: products - High Frequency Hot Spot Inventory (1/2)


NOD project: products - High Frequency Hot Spot Inventory (2/2)NOD project: products - High Frequency Hot Spot Inventory (2/2)


NOD project: products – Fire Risk Index (1/2)NOD project: products – Fire Risk Index (1/2)


NOD project: products – Fire Risk Index (2/2)NOD project: products – Fire Risk Index (2/2)


NOD project: demo architecture NOD project: demo architecture

NOD system main modules are:NOD system main modules are:

• Acquisition sub-systemsAcquisition sub-systems

• Processing subsystemsProcessing subsystems

• Archive and serverArchive and server

• Web DSS for visualizationWeb DSS for visualization

NOD system main modules are:NOD system main modules are:

• Acquisition sub-systemsAcquisition sub-systems

• Processing subsystemsProcessing subsystems

• Archive and serverArchive and server

• Web DSS for visualizationWeb DSS for visualization


NOD demo architecture: Web DSS for visualizationNOD demo architecture: Web DSS for visualization

Main Web DSS functions:Main Web DSS functions:

• Mapping: allows to publish vector/raster Mapping: allows to publish vector/raster products/includes classical GIS functions: products/includes classical GIS functions: Zoom In, Zoom Out, Re-centre, Query Zoom In, Zoom Out, Re-centre, Query Object and Query RegionObject and Query Region

• Legend : represents the status (visible/not Legend : represents the status (visible/not visible) of the layers shown in the map visible) of the layers shown in the map windowwindow

• Display Fire attributes and DetailsDisplay Fire attributes and Details

• Go-to-locationGo-to-location

• Go-to-timeGo-to-time

• AnimationAnimation

Main Web DSS functions:Main Web DSS functions:

• Mapping: allows to publish vector/raster Mapping: allows to publish vector/raster products/includes classical GIS functions: products/includes classical GIS functions: Zoom In, Zoom Out, Re-centre, Query Zoom In, Zoom Out, Re-centre, Query Object and Query RegionObject and Query Region

• Legend : represents the status (visible/not Legend : represents the status (visible/not visible) of the layers shown in the map visible) of the layers shown in the map windowwindow

• Display Fire attributes and DetailsDisplay Fire attributes and Details

• Go-to-locationGo-to-location

• Go-to-timeGo-to-time

• AnimationAnimation


NOD demo architecture: validation interfaceNOD demo architecture: validation interface

One of the objective of the Italian demonstration One of the objective of the Italian demonstration was to provide the users with a tool to was to provide the users with a tool to populate in real time modality the database populate in real time modality the database with the ground truth information ( daily with the ground truth information ( daily paper bulletin on occurred fires)paper bulletin on occurred fires)

User could insert the information about User could insert the information about COAU/ALINA alert eventually choosing the COAU/ALINA alert eventually choosing the coordinate projection of the available coordinate projection of the available location. location.

One of the objective of the Italian demonstration One of the objective of the Italian demonstration was to provide the users with a tool to was to provide the users with a tool to populate in real time modality the database populate in real time modality the database with the ground truth information ( daily with the ground truth information ( daily paper bulletin on occurred fires)paper bulletin on occurred fires)

User could insert the information about User could insert the information about COAU/ALINA alert eventually choosing the COAU/ALINA alert eventually choosing the coordinate projection of the available coordinate projection of the available location. location.


NOD demo architecture: report generationNOD demo architecture: report generation

The report interface has been The report interface has been designed to perform two basic designed to perform two basic operations:operations:

• to have a daily report of the fire to have a daily report of the fire alerts: by representing the alerts: by representing the static daily situation with a list static daily situation with a list of the alerts (Hot Spot, COAU, of the alerts (Hot Spot, COAU, ALINA) ALINA)

• to have a daily view of fire to have a daily view of fire alerts that can be used to alerts that can be used to validate Hot spots against validate Hot spots against COAU/ALINA alerts: by COAU/ALINA alerts: by allowing the user to validate allowing the user to validate (with a cross-link) the Hot Spot (with a cross-link) the Hot Spot in this interfacein this interface

The report interface has been The report interface has been designed to perform two basic designed to perform two basic operations:operations:

• to have a daily report of the fire to have a daily report of the fire alerts: by representing the alerts: by representing the static daily situation with a list static daily situation with a list of the alerts (Hot Spot, COAU, of the alerts (Hot Spot, COAU, ALINA) ALINA)

• to have a daily view of fire to have a daily view of fire alerts that can be used to alerts that can be used to validate Hot spots against validate Hot spots against COAU/ALINA alerts: by COAU/ALINA alerts: by allowing the user to validate allowing the user to validate (with a cross-link) the Hot Spot (with a cross-link) the Hot Spot in this interfacein this interface


NOD demo evaluation planNOD demo evaluation plan


NOD demonstration: where we areNOD demonstration: where we are

• The operational phase has just been concluded (20 September)The operational phase has just been concluded (20 September)• The preliminary Evaluation Plan is going to be refined, in The preliminary Evaluation Plan is going to be refined, in

particular:particular:

o The The service evaluationservice evaluation is going to be performed together with is going to be performed together with the DPC operators responsible for the demo execution by the DPC operators responsible for the demo execution by means of subjective indicators of system performances and means of subjective indicators of system performances and objective indicators of system performancesobjective indicators of system performances

o The The products evaluationproducts evaluation is going to take place by calculating the is going to take place by calculating the objective indicators of products qualityobjective indicators of products quality

• The operational phase has just been concluded (20 September)The operational phase has just been concluded (20 September)• The preliminary Evaluation Plan is going to be refined, in The preliminary Evaluation Plan is going to be refined, in

particular:particular:

o The The service evaluationservice evaluation is going to be performed together with is going to be performed together with the DPC operators responsible for the demo execution by the DPC operators responsible for the demo execution by means of subjective indicators of system performances and means of subjective indicators of system performances and objective indicators of system performancesobjective indicators of system performances

o The The products evaluationproducts evaluation is going to take place by calculating the is going to take place by calculating the objective indicators of products qualityobjective indicators of products quality


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all rights reserved © 2005, telespazio october, 03, 2005 page 1 a new vision of space

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