International/Regional Framework for Disaster Response using Satellite Data

Shiro Ochi

Asian Institute of Technology(AIT)/JAXA

Japan Aerospace Exploration Agency

THEOS

KOMPSAT

ISRO

KARIGISTDA

NARLabs

FORMOSAT

Sentinel Asia

Collaboration

XSAT

CRISP

RESOURCESAT-2, CARTOSAT-1&2, RISAT-1

ALOS-2

KIBO HDTV-EF

JAXA

THEOS

VAST

VNREDSat

Data Provider Node (DPN)8 space agencies in Asia

UAEDUBAISAT

Initiation Flow for Emergency Observation SA & Charter

International Disaster CharterInternational Disaster Charter

interfaceinterface

LandsatLandsat

DMC ConstellationDMC Constellation

ODO

ECOECO CSACSA

ESAESA

CNESCNES

NOAANOAA

ISROISRO

PMPM

VVAARR

CONAECONAE

JAXAJAXA

USGSUSGS

DMCDMC

ALOS

SACSAC--CC

RADARSATRADARSAT--11

ERSERS--2 2 and and

ENVISATENVISAT

IRSIRS

SPOTSPOT

ADRCADRC

DisasterDisaster

JPT memberJPT member

ADRC memberADRC member

Sentinel AsiaSentinel Asia

SA SA

activationactivation

End UserEnd UserEnd User

DPN

DATADATA

ProductProduct

DANDAN

RequestRequest

DataDataRequestRequest

ISROISRO

JAXAJAXA

GISTDAGISTDA

International Disaster CharterInternational Disaster CharterInternational Disaster CharterInternational Disaster Charter

interfaceinterfaceinterfaceinterface

LandsatLandsat

DMC ConstellationDMC Constellation

ODO

ECOECO CSACSA

ESAESA

CNESCNES

NOAANOAA

ISROISRO

PMPM

VVAARR

CONAECONAE

JAXAJAXA

USGSUSGS

DMCDMC

ALOS

SACSAC--CC

RADARSATRADARSAT--11

ERSERS--2 2 and and

ENVISATENVISAT

IRSIRS

SPOTSPOT

LandsatLandsat

DMC ConstellationDMC Constellation

ODO

ECOECO CSACSA

ESAESA

CNESCNES

NOAANOAA

ISROISRO

PMPM

VVAARR

CONAECONAE

JAXAJAXA

USGSUSGS

DMCDMC

ALOS

SACSAC--CC

RADARSATRADARSAT--11

ERSERS--2 2 and and

ENVISATENVISAT

IRSIRS

SPOTSPOT

LandsatLandsat

DMC ConstellationDMC Constellation

ODO

ECOECO CSACSA

ESAESA

CNESCNES

NOAANOAA

ISROISRO

PMPM

VVAARR

CONAECONAE

JAXAJAXA

USGSUSGS

DMCDMC

ALOS

SACSAC--CC

RADARSATRADARSAT--11

ERSERS--2 2 and and

ENVISATENVISAT

IRSIRS

SPOTSPOT

ADRCADRCADRCADRCADRCADRC

DisasterDisasterDisasterDisaster

JPT memberJPT member

ADRC memberADRC member

JPT memberJPT member

ADRC memberADRC member

JPT memberJPT member

ADRC memberADRC member

Sentinel AsiaSentinel AsiaSentinel AsiaSentinel Asia

SA SA

activationactivation

End UserEnd UserEnd User

DPN

DATADATA

ProductProduct

DANDANDANDANDANDAN

RequestRequest

DataDataDataDataRequestRequestRequestRequest

ISROISRO

JAXAJAXA

GISTDAGISTDA ISROISRO

JAXAJAXA

GISTDAGISTDA ISROISRO

JAXAJAXA

GISTDAGISTDA

Japan Aerospace Exploration Agency

Types of Disasters in SA

Flood LandslideVolcano Eruption TyphoonCyclone EarthquakeTsunami FireOthers

The number of Sentinel Asia activationsfrom 2007 to 2017.

82%

Flood

Landslide

TyphoonCyclone

Interactive Data Platform

7

Early Warning Using GSMaP

GSMaP (Global) observed Hurricane Patricia and Olaf, and Typhoon Champi: 20-24 Oct. 2015, hourly animation

• Rapidly changing precipitation phenomena need frequent observations.

• Global rainfall map merging GPM Core Observatory, polar orbitingmicrowave radiometer/sounders, and geostationary infrared radiometers.

JAXA Global Rainfall Watch (4-hr delay) : http://sharaku.eorc.jaxa.jp/GSMaPJAXA Realtime Rainfall Watch (Himawari-area): http://sharaku.eorc.jaxa.jp/GSMaP_NOW

“GSMaP_NOW” over “Himawari-8” area

PatriciaOlaf

Champi

Realtime Rainfall Watch(GSMaP_NOW)

Global Rainfall Watch (GSMaP_NRT/MVK)

We have started to release hourly global rainfall data (0.1x0.1deg. lat/lon) in near real time (about four hours after observations) and visualize the latest data quickly.

Global Rainfall Map(GSMaP_NRT)

produced 4 hoursafter observation and updated every hour

http://sharaku.eorc.jaxa.jp/GSMaP/

Multi-Satellite Rainfall Product by JAXA (GSMaP)

Internet access• Images & Movies• Google Earth files• Data download

TRMM/TMI

Aqua/AMSR-E DMSP/SSM/I

GEO IR

Global Satellite Mapping of Precipitation (GSMaP)

P9

Improved NRT-basis Gauge-adjusted GSMaP product (v6)

Improved NRT-basis Gauge-adjusted GSMaP product (v6) was open to the public since mid-Dec. 2018.

Correction coefficients are calculated using past 30 days.We reprocessed past 18yr data record (since Mar. 2000)

Validations with reference to the JMA radar around Japan show smaller RMSEs in this new product than the current NRT (no gauge-correction).

NRT (no gauge correction)Improved NRT-Gauge

NRT (no gauge correction)Improved NRT-Gauge

Correlation CoefficientsRoot mean square errors (RMSEs)

date date

Better

Better

GSMaP-NOW Monitoring for Southern Thailand Flash Flood on 8-9 NOV 2018

24-hour precipitation

Water Level

Hourly Precipitation

Observed Water Level and Hourly

Precipitation at KhlongKhanan District

Station, Prachuap KhiriKhan Province

1-hour precipitation

Hourly Updated GSMaP-NOW

P11

UNESCO Pakistan Project for Predicting Floods

Under UNESCO-IHP project, JAXA, ICHARM and Pakistan Meteorological Department (PMD) to develop operational flood analysis system.After calibration of GSMaP product with ground-based stations in Pakistan, correlation coefficients are increased from 0.5 to 0.7, and can be used in the Indus Integrated Flood Analysis System (Indus-IFAS) developed by ICHARM.The Indus-IFAS system is now in operation by the PMD, and a plan to extend the system to eastern river area is now underway.

11Example of Indus-IFAS in Pakistan (Image

provided by ICHARM)

Rainfall by GSMaP Indus_IFAS:River discharge output using GSMaP(increasing as rainfall in upper stream increased)

INPUT

Before Flood

During Flood

Discharge of main river is normal (green) before flood

(Area within red line is Indus river basin) Discharge of main river is largely increased (red)

during flood

P12

Landslide Early Warning System in PhilippineCollaboration with JAXA and Philippine Institute of Volcanology and Seismology (PHIVOLCS)-DOST as “Sentinel Asia Success Story in the Philippines” project since 2009.Application of GSMaP for Landslide Warning has been studied in this project.

The system monitors of real-time GSMaP rainfall data, and analysis using RBFN Models. When monitoring area become landslide danger by rainfall, the system alerts warning message by e-mail.

Introduction to Kalu River Basin

• Discharge to the sea annually 4500 MCM

• Length 129km• Catchment area 2839 km2• Much vulnerable for floods

RRI model development using Bias corrected rainfall (Example: 2017/05/25)

16

Thank you for your attention.

©JAXA/NASA

Thank you very much!