Projects - Antenna Bruxelles

Mauro Fiorentino
University of Basilicata
The University of Basilicata
Research Activities on Earth Observation and
Natural Risk Mitigation and Prevention
CHARACTERIZATION AND
DEVELOPMENT OF NEW SATELLITE SENSORS
Projects leaded by DIFA (responsible C. Serio)
INSTRUMENT
 IASI
 SWIFT
 AGIRS
 IMG
 MTG
 AIRS
 GERB
 REFIR
FUNDING AGENCY
PERIOD
CNES/EUMETSAT
'89-Present
ESA
‘99-Present
ESA/EUMETSAT
‘95-98
NASDA (JAXA)
‘95-Present
ESA/EUMETSAT
‘01-Present
NASA
89-Present
NERC-UK/OSTC-BE/ASI-IT
'00-present
EU-ASI
‘97-Present
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IASI is a Michelson Interferometer measuring the spectral
distribution of the atmospheric radiation covering the
Spectral
range 15.5 to 3.62 µm with a sampling rate of 0.25
cm-1
developed at CNES/EUMESAT
IASI has been designed for operational meteorological
soundings with a very high level of accuracy (specifications
on Temperature accuracy: 1K for 1 km and 10 % for
humidity) being devoted to improved medium range
weather forecast.
It was successful launched on board of EUMETSAT METOPA on 19 October 2006 and it is in the operational status since
30 November 2006
AMATO et al. ENSO, 17/7 2002
MASIELLO and SERIO, GRL, 31/11 2004
CARISSIMO et al. ENSO, 20/9 2005.
GRIECO et al. QJRMS, 133/s3 2007

Opening the new era of Infrared Sounders
on Geostationary Platforms:
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MTG IRS Mission
Planned for 2016 and beyond and focusing on water
vapour vertical structures
Characterization and Development of new satellite sensors
ESA
Earth Explorer
Core Mission
from WALES
(Water
Vapour Lidar Experiment in Space)
to SPACE WAVES
Projects participated by DIFA (SPG P. Di Girolamo)
Mission goal: To determine profiles of water
vapour accurately and at high vertical
resolution from space with global coverage
CORE ELEMENT:
Nadir-viewing water vapour DIfferential
Absorption Lidar (DIAL) System
First active humidity profiler in space
Recently SPACE WAVES a satellite DIAL experiment similar to WALES (not admitted
to phase B) has been recommended for further technological studies in the context of
the Earth Observation Envelope Programme 3
DEVELOPMENT OF NEW
SATELLITE DATA ANALYSIS ALGORITHMS
Main projects leaded or participated by DIFA (responsible V. Tramutoli)
INTERNATIONAL
PROJECTS

EO-1 CAL/VAL (NRA-990ES-01)

GMOSS Network of
Excellence (Global
Monitoring for Security and Stability)

FUNDING AGENCY OR PROGRAM
GRIDCC (GRID enabled remote
NASA
EC-FP6/GMES-ESA
instrumentation with distributed Control
and Computation)

G-MOSAIC (GMES services for EC-FP6/IST
Management of Operations, Situation
Awareness and Intelligence for regional
Crises)
EC-FP7/GMES-ESA
DEVELOPMENT OF NEW
SATELLITE DATA ANALYSIS ALGORITHMS
INTERNATIONAL/REGIONAL PROJECTS
INTERNATIONAL/
REGIONAL PROJECTS

MUDVOLCANOES
(Monitoring short term fluctuations in
mud volcanoes methane emissions)

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SOUTH CAUCASUS NATO Science for Peace
(Azerbaijan)

SOUTH CAUCASUS EC-FP6/INTAS
(Armenia, Azerbaijan, Georgia)
AVVISA (Forest Fires Detection by
Satellite)

Lombardia Region
(Italy)
AVVISTA (Fire Hotbed Detection
by Satellite)
FUNDING AGENCY OR
PROGRAM

STREGEOS (Stress related
geohazards in South Caucasus)

TARGET REGIONS

Lombardia Region
Civil Protection Office
Palermo Province
Palermo Province
(Sicily-Italy)
Civil Protection Office
Robust Satellite Techniques (RST)
Forest fires
e.g. Fires in Italy, February 2005
Volcanic eruptions
e.g. 2004-2005 Etna eruption (Italy)
Floods
e.g. Ungary flood, April 2002
SZOLNOK
Voltri
TISZA
TISZAVARKONY
TISZAJENE
Erli
Casanova Lerrone
VEZSENY
TISZASAS
Carpasio
fires
Sea pollution
e.g. Oil spill in the Persic Gulf,
January 1991
Hot spot
Flooded areas
Soil wetness
e.g. Carpathian Basin, April 2000
Earthquakes
e.g. 7 September 1999 Athens
Earthquake
3 days before EQ
Raining Clouds
Weakly wet
Moderately wet
Extremely wet
Oil spill
Thermal anomalies
An intensive monitoring campaign has been
carried out over an experimental area of
Southern Italy. The Surface Wetness Index SWI
(x,y,t) = BT89 – BT23 (AMSU-based) with the help
of Exponential filter by Wagner et al. (1999) has
been compared with the direct measurements
0.5
and spatial simulated soil moisture
obtained with
-2
c
the physically based model DREAM.
m
30 cm
D-DREAM monitoring stations -- "Relative soil moisture"
Landuse
Uso
del suolo.shp
arbusti
Shrub
bosco
Forest
bosco
alt
Tall Forest
erba
Herbaceous
seminativ
Crop
suolo spo
1
Relative saturation of the basin
0.9
Bare soil
Time Domain
Reflectometer
.
0.8
0.7
0.6
0.5
Soil Moisture Simulation
DREAM 1.1 (Manfreda et al., 2005)
N
0.4
W
E
S
0
500
1000
1500
Days
2000
2500
3000
1,2
25
15
5
10
0
0,4
saturation degree
1
-10
-15
-15
-20
-20
-25
-25
59 117 175 233 291 349 407 465 523 581 639 697 755 813 871 929 987
After the application
of the exponential
filter
1,2
1
10
6
0,6
4
0,4
2
0,2
0
AMSU_SWI* T=58
0
-2
1
59
117 175 233 291 349 407 465 523 581 639 697 755 813 871 929 987
T=58
8
0,8
saturation degree
-5 0
-10
AMSU_SWI
0
5
0
-5
0,2
Relative saturation
10
0,2
0,4
0,6
0,8
1
1,2
R=0.21
saturation degree
-30
8
7
6
5
4
3
2
1
0
-1 0
-2
-3
-4
-5
-6
-7
-8
y = 10.289x - 6.361
R² = 0.6762
AMSU_SWI*
0,6
20
SWI
0,8
25
15
SWI*
Relative saturation
1
AMSU_SWI
30
20
0.2
0.4
R=0.61
0.6
0.8
1
1.2
simulated relative saturation