Centre of Applied Geoscience, Disaster Risk Reduction Research Group,
School of Earth and Environmental Science, University of Portsmouth, UK
Uses of free satellite imagery for
Disaster Risk Reduction (DRR)
Richard Teeuw,
with inputs from Mathias Leidig and Nasos Argyriou
“Visualising Friendships” / Visualising the Digital Divide
Benefits and limitations of free geospatial data for DRR
Introduction (DPI)
Example 1 – Sierra Leone
Example 2 – GE Matara
Example 3- Inundation Risk Tsunami
DPI – Background
Data
Poverty
Index
- DPI
average difference of the DPI to
the average global DPI [%]
100.00
Normalisation - average difference of the DPI to the average global DPI
80.00
60.00
40.00
20.00
0.00
-20.00
-40.00
-60.00
2008
Low-income countries
R² = 0.9962
Data poverty reflects ability to access online data,
R² = 0.9784
Lower-middle
income countries
information
and resources, such as
hazard or exposure
maps, early warnings and alerts,
as well as the
R² = 0.9497
capability to share information, for instance in
Upper-middle income countries
emergency crisis response - all of which affects
High-income countries
disaster preparedness and
resilience
R² = 0.9887
2009
2010
2011
year
2012
2013
2014
Benefits and limitations of free geospatial data for DRR
Introduction (DPI)
Example 1 – Sierra Leone
Example 2 – GE Matara
Example 3- Inundation Risk Tsunami
DPI – Background
Data
Poverty
Index
- DPI
average difference of the DPI to
the average global DPI [%]
100.00
Normalisation - average difference of the DPI to the average global DPI
Low-income countries
80.00
60.00
40.00
R² = 0.9962
R² = 0.9784
Lower-middle income countries
20.00
0.00
-20.00
-40.00
-60.00
2008
R² = 0.9497
Upper-middle income countries
High-income countries
2009
2010
R² = 0.9887
2011
year
2012
2013
2014
Data Poverty in
LICs & LMICs is
getting worse,
relative to richer
countries
Uses of satellite remote sensing in disaster management
Feature identification & preparedness mapping
Hazardous terrain
Exposed features
- land cover types
- reconstruction
materials…
.…& sites
Map & Monitor
- reconstruction sites
- infrastructure
Early warning
- monitoring of hazards
- disaster risk maps
- public education
- hazard alerts !
Search & Rescue
- damage maps
Shelter & Safety
- refugee camp maps
& monitoring
- new hazard maps
The Disaster Cycle: appropriate remote sensing & mapping
Pre-disaster
/ Event Crisis /
Post-disaster
/ Pre-disaster
/
Warning / Evacuation / Response / Recovery / Reconstruction / Rehabilitation /
Real-time Monitoring
1:1 M – 1:100 k
eg, Meteosat, MODIS
Early Warning Map Damage Extent Map
Ongoing monitoring
Regional Mapping
Periodic review surveys
1:100 k – 1:10 k
eg, Landsat, ASTER, SRTM, Sentinel 1 & 2
Disaster Response Map
Ground Deformation Map
Detailed mapping
1:10 k - 1:5 k
eg, Quickbird, Ikonos & aerial surveys
Urban Damage Map
/ Warning / Evacuation / Response / Recovery / Reconstruction / Rehabilitation /
Soils, bedrock types &
seasonal water supply
Free NASA
MODIS data,
processed by
QGIS freeware
Makeni
Produced using
free FAO & WHO
geospatial data
& QGIS freeware
Vegetation cover
Land cover
types:
Rokel-Seli
River basin
Flood zones,
Rokel-Seli
River basin
Makeni
Makeni
Produced from free
Landsat imagery
(Jan 2014), using
SAGA GIS freeware
Produced using free
SRTM digital
elevation data
& QGIS freeware
Sri Lanka: coastal risk mapping, using free satellite data
& free geoinformatic software (Leverhulme Trust funding)
(Mathias Leidig: PhD research)
Mapping of seismic hazard zones, using free global DEMs,
geomorphometric analysis & morphotectonic analysis
Nasos Argyriou (PhD research): SRTM DEM, ASTER G-DEM, Landsat imagery,
geomorphometrics & multi-criteria decision analysis, to map seismic hazard zones
Multi-Criteria Decision Analysis (MCDA)
using Analytical Hierarchy Process (AHP)
and Weighted Linear Combination (WLC)
MCDA
& GIS
Neotectonic activity:
Neotectonic activity map consisting of nine spatial distribution maps: (1) Amplitude relief;
(2) Stream length-gradient; (3) Terrain wetness index; (4) Slope gradient; (5) lineament density;
(6) lineament frequency; (7) drainage density; (8) stream frequency and; (9) lithologies .
(from Kaskara et al., 2014)
Tectonic landscape
deformation hazard
Seismic
hazard
Seismic risk assessment
derived from 25 years of
satellite radar mm-scale
ground deformation
measurements
Exposure: population
and infrastructure
?
Seismic risk
(Source: Leidig & Teeuw, 2015)