M ONITORING 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 Abstrac
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Proceedings of the First ALOS PI W orkshop
Meeting Room 1, 28th Floor
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March 28(W ed) - 30(Fri), 2001 Kogakuin University, Tokyo, Japan
Trang 2M ONITORING 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 ObjectivesQPONMLKJIHGFEDCBA
1 1 I o I I g t e r m o b j e c t i v e s
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 M onitor 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 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
including 600 people died, 41 100 houses swept,
608718 house submerged., 51000 ha rice field damaged Thua Thien - Hue province was heaviest damaged with 350 people died Not only social economic loss but also environment was polluted and ecosystem was damaged heavily,
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
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
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
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Trang 3-J M ethodologyQPONMLKJIHGFEDCBA
JERS, M OS-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
3 2 O t h e r d a t a
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
Historical landuse/cover maps will be extracted
from M OS, 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
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
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 M odel will simulate
potential flood area and flood level classification from
DEM and hydrological pattern
Flow chart of processing ALOS data for coastal flood
monitoring
Population
Mld
jnfrastructure data, socio-economic data
GIS datebase·
-2-Flood boundary and shoreline will be extracted from P ALSAR 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
4 Algorithm to be used DEM extraction algorithm will be used to build digital elevation model SAR data analysis algorithm 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
5 Anticipated results
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
Data, methodology and results of remote sensing image interpretation, relation between rainfalltsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA011
watershed, land use/cover and state of river mouths and inlets, and it's relation to flood spring and happening will be described
M orphological 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
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
Flood prediction model will be used to predict flood happening and to mitigate damage caused by flood and inundation
Trang 47 View of researchGFEDCBAp l a n
8 Detail of data request
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References
using remote sensing data to detect inlet change
Hanoi National University
P r o c e e d i n g o f w o r k s h o p o n l a g o o n s i n T h u a
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
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
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 ,
House, Hanoi, p 185-196
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631 Monitoring and Prediction the Coastal Flood in the Vietnam Center Using [Tran Duc Thanh ALOS SatelliteData
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· · ···· ··· · ··· · ·· · ·· ····1 ··
13:50 • 14:10 0:20 66 Validation of ALOS for investigating and monitoring landslide activity Wang Zhihua
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