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. Proceedings of
the First ALOS PI Workshop

•

Disaster Management

Meeting Room 1, 28th Floor

1,1

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March 28(Wed) - 30(Fri), 2001
Kogakuin University, Tokyo, Japan


MONITORING AND PREDICTING THE COASTAL FLOOD
TNTHE VIETNAM CENTER USING ALOS SATELLITE DATA
Tran Duc Thanh, Tran Van Dien, Tran Dinh Lan
Haiphong Institute of Oceanology, Vietnam
Abstract: The long term objective of project is
building capacity for application of remote sensing and
GIS flood database for coastal flood and inundation
management in Vietnam. W ith a main point to Thua
Thien - Hue province coastal area, the specific
objectives are identifying the relationship between the
factors generating coastal inundation, building a high
resolution DEM for flood models from PRISM data,
monitoring flood extension from PALSAR and AVNIR
data and predicting flood risk assessment modeling.
Anticipated significance of project is contributing to
controlling flood, preventing
and mitigating
its
damages and testing possibility
of ALOS
data
application for the flood research in Vietnam condition.
The. ALOS

panchromatic,
multi-spectral
and
microwave data will be used simultaneously. Remote
sensing, GIS and ground truth data will be combined.
The algorithm will be used for DEM extraction, SAR
data analysis, GIS, change detection; hydrology and
risk assessment. The anticipated results are thematic
maps, models and technical report including the
srrategic recommendation
for coastal
flood
and
inundation management.
1.

including
608718
damaged.
damaged
economic
ecosystem

Vietnam Center coastal zone consists of low narrow
alluvial plains, lagoons and river mouths
locate
between high mountains with step slope and big sand
dunes along the coast. This area suffers many typhoons
and heavy rain concentrated
from September

to
December.
Catchment
forest has been destroyed
heavily by war and landuse for cultivation. River
mouths and lagoon inlets are inundated by flood water
into the sea and sedimented by long shore sand drift.
Thus, flood and inundation usually happen irregularly,
quickly and in largely and it's damages are heavily.
However, until now prediction and monitoring of flood
have been still very limited.
Project will be carried out has an actual mean for
controlling flood, preventing and mitigating damage
caused by flood and inundation and contributes to
sustainable management of Vietnam Center coastal
zone.

Objectives QPONMLKJIHGFEDCBA

1 .1 . I .o I I g t e r m o b j e c t i v e s

Determination of the relationship between rainfall
on watershed, change in land use/cover, situation of
river mouths and lagoon inlets from satellite data allow
to understand process of flood spring and predict the
flood happening tendency. Digital elevation model
with high resolution can make map with scale of
. 1:25000 that is available to classify flood level and
determine flood risk area. These research results will
be

used for' controlling
flood and
inundation,
preventing
and mitigating
damage by flood and
inundation,
and
contributing
to
sustainable
management of Center Vietnam coastal zone through
key area ofThua Thien - Hue.

Build capacity for application of remote sensing for
coastal flood and inundation management, contribute to
sustainable development in Vietnam coastal zone.
Contribute to building flood and inundation GIS
database for coastal zone management.
1 .2 . S p e c i f i c o b j e c t i v e s

To identify the relationship
between
rainfall,
landuse/cover, and state oflagoon inlets (open or close),
scale and intensify flood and inundation and their
happening. Build a high resolution digital elevation
model (DEM) for hydrological and flood models from
ALOSIPRISM data. Monitor flood extension from
ALOSIP ALSAR and A VNIR data. Build hydrological

model for flood prediction and flood risk assessment
model for Vietnam Center from remote sensing and
others GIS layer data, main point to coastal area of
Thua Thien - I Iue province.
2. Significance in the research

600 people died, 41 100 houses swept,
house submerged.,
51000 ha rice field
Thua Thien - Hue province was heaviest
with 350 people died. Not only social
loss but also environment was polluted and
was damaged heavily,

Project will contribute an experience to application
of ALOS satellite for building high resolution digital
elevation model in sand coast topography with sand
dunes, lagoons, inlets, and river mouths. This is an
opportunity to integrate panchromatic, multi-spectral
and microwave remote sensing data to study problems
in term of LOICZ (Land Ocean Interaction in the
Coastal Zone) as open of inlets due to flood flow and
close of inlets due to sedimentation by long shore sand
drift generated from wave action, and interaction
between ocean - river dynamic factors causing coastal
flood.tsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA

field

Coastal zone in Vietnam Center usually is flooded

and inundated every year. Count for only Thua Thien Hue province, exclude every year flood, over last fifty
year there have been seven heavy floods happened. The
historical flood happened in early of November 1999
with six days long, impacted on seven provinces in
Vietnam Center, created
very terrible
damages

-1-


J. Methodology QPONMLKJIHGFEDCBA
3 .1 . R e m o te

s e n s in g

Flood boundary and shoreline will be extracted
from PALSAR and ANNIR data. Comparing JERS
SAR data with PALSAR data will be made to analyse
temporal change in flood level. SAR data will be used
for checking
GIS flood simulation
model. Risk
assessment method will be used to assess the damage
by flood.

d a ta

JERS, MOS-l and ADEOS-ll data will be used for
extract cover information of basin. PIUSM data will be

use to build DEM. A VNIR data will be used to extract
land cover information and flood boundary. PALSAR
data will be used to determine water boundary and
monitor the extension of flood area in rainy season.

4. Algorithm

DEM extraction algorithm will be used to build
digital elevation model. SAR data analysis algorithm

3 .2 . O th e r d a ta

Coastal dynamic, meteorological and hydrological
data, topographic map in scale I :50,000 and 1:25000
will be use for geometric rectification of images,
population and infrastructure maps and socio-economic
data will be also used in this research.
3 .3 . P r in c ip a l

to be used

will determine the boundary of flood area, coastal line.
Temporal change detection algorithm will be used to
analyse land use/cover changes and to determine the
extension of flood area.
GIS model will simulate potential flood area.
Hydrological modeling algorithm will estimate volume,
dynamics and balance of water in lagoons and
determine the relation between land cover, rainfall,
water runoff. Risk assessment algorithm will be used to

assess the hazard damage caused by flood.

m e th o d

Historical landuse/cover maps will be extracted
from MOS, JERS and ADEOS/A VNIR data. These
maps wiII be used to analyze the changes in landcover
of watershed. The historical floods' observed from
JERS and others satellite data will be compared with
floods will be observed from ALOS satellite data.

5. Anticipated
5 .1 . I n te r p r e te d

PRISM data will be analyzed to create digital
elevation model (DEM) for flood prediction model.
DEM extraction method will be used to build digital
elevation
model.
Landuse/cover
interpretation
of
A VNIR data will make landuse/cover maps. Temporal
change detection method will be used to analyze
landuse/cover changes.

results
im a g e s

a n d a n a ly z e d

d a ta

They are landuse/cover maps and change analysis
results, morphology of coastal line and its changes,
flood maps of rainy season.
Digital elevation model, flood level classification
map, hydrological model and flood prediction model
are expected.

Hydrological model will estimate volume of water
runoff, river flow condition and dynamics of river
mouths . and lagoon
inlets from
DEM, rainfall,
landuse/cover
data
layers.
Model
will
simulate
potential flood area and flood level classification from
DEM and hydrological pattern.

5 .2 . T e c h n ic a l

report

Data, methodology and results of remote sensing
image interpretation,

relation between
rainfalltsrqponmlkjihgfedc
011
watershed, land use/cover and state of river mouths and
inlets, and it's relation to flood spring and happening
will be described.
Morphological dynamical characteristic of flooded
coastal area, risk assessment of potential damage by
flood
based on classification
level flood map,
prediction of flood area and strategic recommendations
for controlling, preventing and mitigating damages
caused by flood will be included.

Flow chart of processing ALOS data for coastal flood
monitoring

Population
Mld

jnfrastructure
data, socioeconomic
data

6. Product

Utilization

Plan

Digital elevation model (DEM) will be used for
many purposes of disaster and environmental modeling.
Result of coastal flood monitoring will be used by local
manager. Remote sensing data set will be used for
many research fields related to disaster mitigation and
sustainable coastal zone management
for Vietnam
Center.

GIS datebase·

Flood prediction model will be used to predict
flood happening and to mitigate damage caused by
flood and inundation.

-2-

---

......•
------

-------::1 ..-----


7. View of research GFEDCBA
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ALOS data

PRISM Sensor
Year
Month
Observation

Date

period

Time

2002
November

No.
Scene

April

2003
November

4
16°00' to 17°00' N
107°00' to 108°00' E

Location
Processing level

1£32

AVNIR Sensor
Year

2002

Month
Observation

Date

period

Time
No.
Scene

2003

November

April

November

1

1

1

Location

16°00' to 17°00' N
107°00' to 108°00' E

Processing level
PALSAR
--_.-

Sensor
Year
Month
Date
Time

Observation
period

No.
Scene

8. Detail of data request
MOS and JERS data

Location

N um ber

d S c tn u

Processing
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JERS

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OPTICAl &
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38£/100
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1992· 1996

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16°00' to 17°00' N
107°00' to 108°00' E
1.5

Phu, H. N., 1994. A study on instability of Tu Hien
inlet
and
a
suggestions
for
treatment

-

P r o c e e d in g

~M~N~~1r
IU :V !jT tID Y A l:E A

November

Dien, T. V., Thanh, T. D., 2000. Preliminary results on
using remote sensing data to detect inlet change

in Tam Giang - Cau Hai lagoon Vietnam Center.
Proceeding of the second scientific workshop,
Hanoi National University.

/

~------------------------

2003
Anril

References

j

6

1992· 1998

1141ln

level

2002
November

P rocuang

3 8 W I9 9

Mas

182

of w orkshop on

la g o o n s

in

Thua

T h i e n ~ H u e , Haiphong, p. 84-88.

Thanh, T. D., 1985. Thuan An and Tu Hien inlets. N e w
D i s c o v e r i n A r c h a e o l o g y i n 1998. Institute of
Archaeology, Hanoi, p. 20-21.
Thanh, T. D., Land, T. D., and Cu, N. H., 1995. On the
closure. of Tu Hien inlet. S c i e n t i f i c A c t i v i t i e s
. N o . 9 , Hanoi, p. 2 0 - 2 2 .
Thanh, T. D., 199i Environment impacts of closure
and move of inlets of Tam Giang - Cau Hai
lagoon. M a r i n e E n v i r o n m e n t a n d R e s o u r c e s ,
Vol. 4, Science and Technology
Publishing
House, Hanoi, p. 185-196 .

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Proposal1Session
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13:10 • 13:30

631 Monitoring and Prediction the Coastal Flood in the Vietnam Center Using

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[Tran Duc Thanh

ALOS SatelliteData

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13:30.13:50

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19 Wide Area Monitoring for Land Disaster Detection

Masataka Takagi

13:50 • 14:10

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66 Validation of ALOS for investigating and monitoring landslide activity

Wang Zhihua

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147 Compilation of a database on active volcanoes in East Asia utiising the
results from satellite morphological analysis

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130 Radar Interferometry

Measurement of Coastal Urban Subsidence

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16:40 - 17:00

Masanobu Shimada

0:20

134 Interferometric analysis of ALOS/PALSAR
detection and land subsidence monitoring

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Buckley Sean

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data for crustal deformation

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Charles L Werner
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