The 1st Japan‐Peru Workshop on Enhancement ofEarthquake and Tsunami Disaster Mitigation Technology

Miguel Estrada ‐ Hiroyuki Miura(CISMID‐FIC‐UNI) – (Tokyo Institute of Technology)
15 – 16 March, 2010

Disaster Management
Disaster Cicle
Pre‐event

Event

Post‐Event

SoftwareUse ofGeo ‐ Informatics
HardwareInventario Urbano

Mapa de Daños

Objectives of Group 04
y Research Topics
y Building Inventoryy Geo‐Spatial Databasey Data Integration (Geotechnical, Structure, Tsunami)y Damage Simulations (Earthquake and Tsunami)y Earthquake Scenario of Seismic Risk Assessmenty Damage Asessments Methodologies
y Internet Based System for data dissemination

Institutions
y From Japany Chiba University
y Tokyo Institute of Technologyy National Institute of Advanced Industrial

Science and Technology (AIST)y From Peruy CISMID – FIC – UNI
y CONIDAy ONGEI – PCM

La Información Satelitaly Cover extensive land areay There exists historical satellite images (Pre‐event data)y Periodical acquisition (fourth dimension)y Spectral information (Fifth dimension)y Many satellites are orbiting (Optical, SAR, Lidar)

Surface Remote Sensing
Adquisición de Datos

Análisis de Datos(a) Fuente de energía(b)Propagación a través dela
atmósfera(d)Retransmisióna través de laatmósfera(e) Sistema dedetección(Plataforma/Sensor)(c) Elementosde lasuperficie
terrestre

VisualVista gráfica

DigitalDigital(f ) Productos
teledetectados(g) Interpretación yanálisis(i) Toma deDecisiones(h) Productos deInformaciónDevelopment of Building Inventory Data
Satellite images

High‐resolution satellite images

Land use classification

Building density classification
Land surface classification, etc.

National census data
• Block level• Population• Num. of buildings
Construction types

Existing GIS data• Block level• Num. of building• Social and economic index
Existing land use map

Up‐to‐date building inventory dataSensor PRISM
y PRISM: Panchromatic Remote‐sensing
Instrument for Stereo Mapping(Instrumento de Teledetección
Pancromático para Mapeo Estéreo)y Radiómetro pancromático de 2.5 metros deresolución espacial.
y El procesamiento de sus datos provee
modelos de superficie digital (DSM oDEM) de alta precisión.
y Tiene tres sistemas ópticos independientes
que trabajan en tándem.

3D Model Generation
3D ModelBackNadirForward

Land Use Estimated from Satellite Optical Image
Lima, Peru

Congested housing area
Built-up area with large buildings
Vegetated area

10km

Mountain (Higher)
Mountain (Lower)
Water

Landsat Image (15m‐resolution)
Observed in 2002/1/17

Land Use Map Estimated bySupervised Classification of ImageClassification accuracy should be improved by using appropriate
supervised data and digital elevation model (DEM).
From time‐series analysis of Landsat images, sprawl of urbanizedarea would be evaluated.

Micro‐scale Urban Classification
Using High‐resolution Satellite Images

BuildingRoad
Density area
Vegetation
Water, Cloud, Shadow

High‐resolution Satellite Imagein Urban Area

Building Density Classification
Land Surface Classification

Satellite Data + GIS (Geo‐Geo‐Spatial DataBaseDataBase))
Multimedia Informaton
Linked to databaseUrban Growth 1958 ‐ 2008

Imagen satelital sobre el modelo digital de terreno. En
borde rojo AH 12 de Agosto, en borde magenta AH Nuevo
Amanecer y en borde azul AH 1ro de JulioSpectral Analisys Cluster Analysis

Earthquake Affected Area

Comparación Imagen Satelital vs.
Fotografía Aérea

Zonas de Refugio

Zonas de Refugio

High Resolution Images: Visual Damage Assessment

PISCO
Niveles de Daño
Grave o colapso
SeveroLeve
Sin daños

Building Inventory

Seismic Geotechnical Microzonation

Seismic Risk Map
Scenario: 15/08/2007 Pisco Earthquake

Dr. C. Zavala, Z. Aguilar, M. Estrada

Seismic Risk Map Pisco Earthqauake Scenario

Dr. Carlos Zavala
Dr. Zenón Aguilar

Preliminary Work for Tsunami Hazard Assessment
Basic Equations:

log23

2.93

3.77 0.42
Where:
S : Major axes (217 km)
b : Minor axes (98 km)
M : Magnitude

Simulación Inundación: Altura de Ola 6 m

Group 04: Outputsy Construction of Base Map Datay Land use map by satellite and exinting datay Building inventory data by using high resolution
satellite imagesy Digital Elevation Model (DEM)y Development of Damage Detection Techniquesy Elaborate methodology for fast damage detection by
optical and SAR satellite datay Building Damage Estimation for Earthquake Scenario
based on Group 01, Group 02 and Group 03
y Internet based platform to disseminate the results.