
1
Mapping Flooded Areas in
Mapping Flooded Areas in
Nadi Using TerraSAR
Nadi Using TerraSAR
-
-
X
X
Data and ERDAS
Data and ERDAS
Wolf Forstreuter
Wolf Forstreuter
TerraSAR
TerraSAR
-
-
X
X
(Radar Satellite)
(Radar Satellite)
•
•
System records with high resolution
System records with high resolution
while area is still under thick cloud
while area is still under thick cloud
cover
cover
•
•
Download 12 hours after recording
Download 12 hours after recording
•
•
However, data recording
However, data recording
not
not
on high
on high
-
-
peak of flood
peak of flood

2
Scene Coverage
Scene Coverage
•
•
Synthetic Aperture
Synthetic Aperture
Radar
Radar
•
•
Signal penetrates
Signal penetrates
clouds !
clouds !
•
•
3 m resolution
3 m resolution
•
•
Recorded:
Recorded:
12.01.09 / 18:30
12.01.09 / 18:30
•
•
Cost:
Cost:
€
€
3,750
3,750
• Coverage:
30 x 60 = 1,800 km
2
Radar Reflection
Radar Reflection

3
Operating Principle
Operating Principle
Polarisation
Polarisation
H = horizontal
H = horizontal
V = vertical
V = vertical
HH = horizontal send and receive
HH = horizontal send and receive
VV = vertical send and receive
VV = vertical send and receive
HV = horizontal send vertical receive
HV = horizontal send vertical receive

4
Reflection of Radar
Reflection of Radar
depends on:
depends on:
a)
a)
angle of the object surface to the
angle of the object surface to the
radar beam,
radar beam,
b)
b)
dielectric constant of the object,
dielectric constant of the object,
c)
c)
roughness of the object surface
roughness of the object surface
These influences vary by:
These influences vary by:
a)
a)
wavelengths used by the system,
wavelengths used by the system,
b)
b)
polarisation of the transmitted
polarisation of the transmitted
signal,
signal,
c)
c)
direction of the transmitted signal.
direction of the transmitted signal.
Housing Areas
Housing Areas

5
Water None
Water None
-
-
Water
Water
Image to Image Rectification
Image to Image Rectification
•
•
Pan
Pan
-
-
sharpened QuickBird available
sharpened QuickBird available
as reference for image rectification
as reference for image rectification

6
Visual Analysis (Mapping) of
Visual Analysis (Mapping) of
Infrastructure at 1:10,000
Infrastructure at 1:10,000
•
•
Digitising of road network
Digitising of road network
•
•
Digitising of river system and
Digitising of river system and
normal water bodies
normal water bodies
•
•
Digitising of houses
Digitising of houses
•
•
Digitising of flooded areas
Digitising of flooded areas
•
•
4 people 1
4 people 1
½
½
days each
days each
Semi Automatic Analysis
Semi Automatic Analysis
• Speckle suppression to reduce
salt and pepper effect
• Density slicing to separate water
and non water pixels
• Editing layer density slicing
• Deleting small areas from “water
non water layer” through filter
• Raster to vector conversion
•
•
Speckle suppression to reduce
Speckle suppression to reduce
salt and pepper effect
salt and pepper effect
•
•
Density slicing to separate water
Density slicing to separate water
and non water pixels
and non water pixels
•
•
Editing layer density slicing
Editing layer density slicing
•
•
Deleting small areas from
Deleting small areas from
“
“
water
water
non water layer
non water layer
”
”
through filter
through filter
•
•
Raster to vector conversion
Raster to vector conversion

7
Comparison:
Comparison:
Visual and Semi Automatic
Visual and Semi Automatic
Flood Mapping within 2
Flood Mapping within 2
Hours?
Hours?
YES
YES
…
…
. if :
. if :
1.
1.
Semi automatic analysis is
Semi automatic analysis is
applied
applied
2.
2.
Reference data is available for
Reference data is available for
image correction
image correction
3.
3.
Infrastructure and river system
Infrastructure and river system
is available at 1:10,000 scale
is available at 1:10,000 scale

8
Workflow & Information Flow
Workflow & Information Flow
NDMO Nadi
SOPAC CRP
informs (after 2 days)
informs (after 2 days)
informs (after 6 hours)
informs (after 6 hours)
SOPAC GIS&RS
InfoTerra in Germany
informs directly
informs directly
InfoTerra Satellite
Programming Deptm.
SOPAC Finance
Informs (1 day)
Informs (1 day)
identifies funds (1 day)
identifies funds (1 day)
Satellite records
data download
over Kiruna
from Kiruna to
Infoterra
data pre-processing
12 hours
12 hours
data download
from InfoTerra
How to Reduce Response
How to Reduce Response
Time ?
Time ?
• NDMOs must know the technique
available [on the way]
• Funds must be directly addressable [ ✔ ]
• Link to other space borne radar systems
to reduce programming time [✔]
• 24/7 response of satellite companies [ ✔ ]
•
•
NDMOs
NDMOs
must know the technique
must know the technique
available [
available [
on the way
on the way
]
]
•
•
Funds must be directly addressable [
Funds must be directly addressable [
✔
✔
]
]
•
•
Link to other space borne radar systems
Link to other space borne radar systems
to reduce programming time [
to reduce programming time [
✔
✔
]
]
•
•
24
24
/
/
7 response of satellite companies [
7 response of satellite companies [
✔
✔
]
]

9
Other New Satellites
Other New Satellites
• 5 satellites in space
• 50 cm frame 5.5 km
• 1 m frame 8 km x 60 km
• Response 10 hours after
recording
• Operational since 22 July 2008
•
•
5 satellites in space
5 satellites in space
•
•
50 cm frame 5.5 km
50 cm frame 5.5 km
•
•
1 m frame 8 km x 60 km
1 m frame 8 km x 60 km
•
•
Response 10 hours after
Response 10 hours after
recording
recording
•
•
Operational since 22 July 2008
Operational since 22 July 2008
SAR-Lupe
SAR-Lupe
Also in Space:
Also in Space:
RadarSat
RadarSat
2
2

10
Reducing the Disaster
Reducing the Disaster
Response Time
Response Time
NDMO informs
SOPAC
Flood appears
SOPAC orders
image data
Programming
satellite
Data recording
Data pre-processing &
downloading
Data processing
at SOPAC
Map send to
NDMO
1
1
1
6
10 2
Time
Thanks
Thanks