USE OF GEOREFERENCE INFORMATION FOR DRM CONTENTS INTRODUCTION

USE OF GEOREFERENCE
INFORMATION FOR DRM
Arnob Bormdoi
Research Associate, GIC
CONTENTS
INTRODUCTION
¢ THE IMPORTANCE OF SPATIAL INFORMATION
¢ CASE STUDIES
¢ SUMMARY
¢
INTRODUCTION
The process of defining how raster is situated in map coordinates.
The process of defining
the
position
of
geographical
objects
relative to a standard
reference grid. For
example the allocation
of
geographical
coordinates to street
intersections.
(www.thelist.tas.gov.au/docs/gloss
ary/glossary.html)
Source: “Georeferencing images and scanned maps” -George McLeod
gep.frec.vt.edu
INTRODUCTION
• Scanned map datasets
don't normally contain
spatial
reference
information.
• Information collected from
the field has to be put on a
platform where the spatial
information is there
X,Y
Source: “Georeferencing images and scanned maps” -George McLeod
gep.frec.vt.edu
CONTRIBUTION OF RS AND GIS IN
DISASTER MANAGEMENT
Disaster Mitigation
- Catalogues with spatial component
- Hazard assessment
- Elements at risk mapping
- Vulnerability assessment
- Risk assessment
- Spatial Decision Support Systems
Disaster relief
Disaster preparedness
- Disaster plans
- Anomalies in a time series
- Forecasting & Early warning
- Monitoring of an ongoing situation
Disaster recovery
- Mapping extent of disaster
- Post-disaster census
- Damage assessment
- Relief coordination
- Evacuation
- Identification of reconstruction sites
- Update hazard, vulnerability and risk data
bases
MOTIVATION (IMPORTANCE OF SPATIAL
INFORMATION)
DATA USED
Scene ID
Satellite/Sensor
Date
Source
ALPSRP096650320
ALOS/PALSAR
2007-11-17
JAXA
ALPSRP096650310
ALOS/PALSAR
2007-11-17
JAXA
ALPSRP096650300
ALOS/PALSAR
2007-11-17
JAXA
ASA_APP_1PNUPA
ENVISAT
2008-09-14
ESA
ASA_IMP_1PNUPA
ENVISAT
2004-05-23
ESA
PR-00CD1355BAC-PO00
ENVISAT
2008-09-25
Vietnam Ground Station
PR-00CD1334A27-PO00
ENVISAT
2008-10-14
Vietnam Ground Station
PR-008A9BCCDA-PO00-1
ENVISAT
2007-11-02
Vietnam Ground Station
PR-00D8AABDE2C-PO00-1
ENVISAT
2007-11-04
Vietnam Ground Station
SPOT5
2005
Vietnam Ground Station
Whole province
DATA USED: POSSIBLE LOCAL DATA
Layer
Type
Date
Source
Point Shapefile
2011
GPS data
Water_tank
Polygon Shapefile
2011
GPS data
Weak_dam
Point Shapefile
2011
GPS data
Polygon Shapefile
2011
GPS data
Permanent_port
Point Shapefile
2011
GPS data
Flooded_mark_2007
Point Shapefile
2007
GPS data
Weak_seaport
Safe_area
Equipments for fieldtrip to collect and update data and information
METHODOLOGY
Activate disaster
charter as Sentinel
Asia during a flood
disaster
Field
Information/Other
satellite data
Image before
Disaster
Comparison/Verification
Data Acquisition
(Microwave RS
Image)
ALOS/PALSAR
Co-registration
Re-projection
Convert Amplitude
to Decibel
•
•
•
•
Paper Maps
Local Knowledge
RS data
Flood information
Overlay
Threshold Selection/
Extracting Flooded Area
Difference
Pre -During
Image
Comment:
Pre-disaster Database and Technology Transfer
OUTCOME: A GIS DATABASE
GIS
Databas
e
Rapid Map
Information
Dissipation,
Web GIS
OUTCOME: PRODUCT TO SUPPORT LOCAL
AGENCIES
LEGEND
District Committee
S&R team
Health center
Heath center of commune
Enegy store
Important water tank
Flooded area
District boundary
Flooding detail of small area (providing for S&R team)
CONCLUSIONS AND RECOMMENDATIONS
(BY PARTICIPANTS)
The methodology will help space agencies in supporting
disaster management organizations in a search and rescue
work.
¢ The results show that in this province, flood maps achieved by
this process are highly accurate and fine in resolution.
¢ One of the success of search and rescue operations depends on
receiving of satellite images immediately after a flood. Sentinel
Asia can help us a lot by providing near real time satellite data.
¢ Similar kind of a methodology can be adopted in other
provinces affected by floods with a continuous update of the
existing GIS database and field observations of past floods.
¢
FLOOD RISK ANALYSIS (A CASE STUDY)
Data Collection
Hazard Analysis
Vulnerability Analysis
Database
Flood Hazard
Runoff Modeling
Inundation Modeling
Social, Physical
Risk Analysis
FLOOD RISK ANALYSIS
FLOOD RISK ANALYSIS (A CASE STUDY)
LVI = (ed -ad )*Sd
Gender of Residents
Exposure(ed )
Demographic Standing
Adaptive capacity(ad )
Sensitivity (sd )
Sensitivity
Land Characteristics
Age Groups
Health Condition
Rural Standing
Water Resources
Educational Background
VULNERABILITY
Adaptive Capacity
Economic Strength& Resilience
Assets
Previous Flood Events
Exposure
Position Relative to River
Hahn, M. B., Riederer, A. M., & Foster, S. O. (2009). The Livelihood Vulnerability Index: A pragmatic approach to assessing risks from climate
variability and change”A case study in Mozambique. Global Environmental Change, 19(1), 74-88.
FLOOD RISK ANALYSIS (A CASE STUDY)
MODEL
ALOS/PALSAR
FLOOD RISK ANALYSIS (A CASE STUDY)
GN Population Data
Data Processing
Population Vulnerability Analysis
Vulnerability Ranking
Age wise population data
PVI GN ( i ) =
∑ 1 FP GN ( i )R ( i )
4
Standardization
i
Age Group
Ranking [R (i)]
1
Age < 5 YRS
3
2
5 < Age < 25 YRS
2
3
25< Age < 60 YRS
1
4
Age > 60 YRS
3
FP GN (i )
Population Vulnerability
Index Data
:- Fraction Population in a certain
Age
Group in a GN Division
GN Divisions Polygon Map
Preliminary Population
Vulnerability Map
Classification
Data Link
i
Vulnerability
index Range
Vulnerability
Classification
Index
1
2
0.00 – 0.33
Low
1
0.33 – 0.66
Moderate
3
2
0.66 – 1.00
High
3
Population Vulnerability
Map
FLOOD RISK ANALYSIS (A CASE STUDY)
Buildings(Physical) Vulnerability Analysis
GN Population Data
Data Processing
Vulnerability Ranking
Categorized Building Data
According to Construction
material
BVI GN ( i ) =
∑
7
1
FB GN ( i )R ( i )
Standardization
GN Divisions Polygon Map
Building Vulnerability Index
Data
i
Construction Material
Ranking [R (i)]
1
Brick
1
2
Kabok
3
3
Cement Blocks/ Stones
2
4
Pressed Soil Blocks
4
5
Mud
6
6
Cadjan / Palmyrah
7
7
Planks/Metal Sheets
5
FB GN (i )
Data Link
:- Fraction of Buildings Constructed
with
a particular material in a GN Division
Preliminary Buildings
Vulnerability Map
Classification
Biuldings Vulnerability
Map
i
Vulnerability
index Range
Vulnerability
Classification
Index
1
2
0.00 – 0.33
Low
1
0.33 – 0.66
Moderate
3
2
0.66 – 1.00
High
3
FLOOD RISK ANALYSIS (A CASE STUDY)
Population
Vulnerability Map
Flood Hazard
Maps
Population Risk Analysis
Map Processing
[Vulnerability × Hazard]
Preliminary Population
Risk Map
i
Risk Value
Range
Risk
Classification
Index
1
0-0
Risk Free
1
2
0-3
Low
2
3
3-6
Moderate
3
4
>6
High
4
Classification
Population Risk
Map
FLOOD RISK ANALYSIS (A CASE STUDY)
Information
gathering
on
components of vulnerability
the
FLOOD RISK ANALYSIS (A CASE STUDY)
R=HXV
Blaikie, P., Cannon, T., & Davis, I. (1994). At risk: Natural hazards, people's vulnerability, and disasters.
DROUGHT RISK ANALYSIS (A CASE
STUDY)
DATA
•
•
•
ü
ü
Meteorological Data
Rainfall and Maximum Temperature
Agromet stations:
Munoz
Cabanatuan
METHODOLOGY
• Rice Production Data (1971 – 2008)
• Rainfed and Irrigated Areas
Sources:
ü Socioeconomics Division (SED) PhilRice
ü Provincial Agriculture Office of Nueva Ecija
ü Bureau of Agricultural Statistics (BAS)
• Ground Control Points (GCPs)
• Vector Maps
• Boundary map, rice areas, irrigation
FIELD WORK
November 24 – 28, 2008
ü Interview with farmers and municipal
agriculturists
ü Acquisition of Ground Control Points (GCPs)
Source : Socioeconomics Division, PhilRice
DROUGHT
SMI values
Legend
irrigation
0.0 - 0.1
0.1 - 0.2
0.2 – 0.3
> 0.3
severe
moderate
slight
no drought
SUMMARY
¢ Information
can come from different sources
¢ Bringing them together is a challenge