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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B4, 2012
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia
STRATEGIC MULTIPLE SENSOR DATA FUSION FOR TIME-CRITICAL NATURAL
DISASTER RESPONSE
S. Kim*^*, S. Goo*, Y. Park*, J. Choi*?, M. Cho?
" NDMI, MOPAS, 136 Mapo-daero, Mapo-gu, Seoul, Korea - (sskim73, gsh7934, clubpark, jwchoi74,
geoisrs)@korea.kr
Commission IV, WG IV/8
KEY WORDS: Multi-sensor, Data Fusion, Natural Disaster, Timely Response
ABSTRACT:
Recently, large-scale natural disasters have been occurred in the various areas of the world. The super-sized multi-hazards over the
world have required more and more scientific and systematic measurement technologies in the fields of management and response of
natural disaster. The purpose of this study is to suggest a multi-sources data fusion approach like LiDAR, aerial images, and satellite
imagery and evaluate its applicability for timely natural disaster response. In order to achieve a high-accurate mapping in time in
disaster situation, we proposed strategic approach using multi-sensors data fusion in this
paper. The data fusion approach using the
satellite imagery, low altitude aerial imagery from the mini-UAV and the small manned helicopter, and LiDAR point data
simultaneously is expected to enhance the capability for more accurate damage analysis and the faster hazard mapping.
1. INTRODUCTION
Recently natural disaster has occurred in a different and
unexpected aspect unlike the past. To respond a variety of
natural disasters around the world in time and decrease its
damage, effective countermeasure has been prepared quickly at
the national level.
Especially, the latest submarine earthquake with 9.0 magnitude
and consecutive tsunami in Japan brought unprecedented
damages such as enormous casualties and tremendous economic
loss. These situations of recent disaster require a strategic
approach with the multi-sensors data integration to respond the
natural disaster effectively. In order to achieve a high-accurate
mapping on time in disaster situation, we proposed strategic
approach using data fusion acquired from multi-sensors. As the
experimental data, different types of data were utilized such as
pre- and post- disaster aerial photos, the aerial and the terrestrial
LiDAR data, the Optic and SAR images, various maps in
NDMS's (National Disaster Management System) database in
this study. For extracting damage extent caused by landslide
and flood for study area, pre- and post-disaster imagery were
used to apply for image algebra change detection algorithm.
Through GIS-based analysis, added valuable disaster
Information were extracted and hazard maps related to landslide
Were generated (Figure 1).
The purpose of this study is to suggest a data fusion approach
from different types of sensor and evaluate the applicability for
ümely natural disaster response. The data fusion using the
satellite imagery, low altitude aerial imagery from the mini-
UAV and the small manned helicopter, and LiDAR point data
simultaneously is expected to enhance the capability for more
accurate damage analysis and the faster hazard mapping.
E EE Ud Mb
*
Corresponding author.
Muiti-sensor data processing
* Spaceborne-based Imagery
v Sre-processing
v Band Stacking
« Fan-shampening
v Change detection
| Data Fusion
* Plane/UAV-based data
v Aeriai Triangulation
v Orthowectifcation
v DEM generation
v image mosaic
* GIS-based Analysis
» Overlay analysis
* Damage detection
v 30 model reconstruction
I Final Products
* Ground-based(LiDAR) points
v Points merging
v Outiier removal
« 3D mesh/surface generation
v 3D profile analysis
* Disaster related maps
* Added value information
« Ficod /Landslide map
* SD damage analysis
Figure 1. Flowchart of multi-sensor data processing
2. EMERGENCY MAPPING TEAM
2.1 Establishment of Emergency Mapping Team and
Activities for Disaster Response
Seoul city, the capital of South Korea, has experienced heavy
rainfall about 600 mm from July 26-28, 2011. It induced
unexpected landslides and flood disasters on the southern part
of Seoul city. Landslides around Mt. Umyeon killed 18 people
and destroyed some motorways adjoined to the Han River by
flooding (NDMS, 2011). Economic damages were estimated to
be in the hundreds of millions US dollars.
2.0 EMT Configuration
In order to rapid respond for landslide and flood damage by
heavy rainfall, National Disaster Management Institute (NDMI)
organized Emergency Mapping Team (EMT) composed of
309
