space-based information for disaster management and mitigation in inpe-brasil

SPACE-BASED INFORMATION FOR SPACE-BASED INFORMATION FOR DISASTER MANAGEMENT AND MITIGATION DISASTER MANAGEMENT AND MITIGATION

IN INPE-BRASIL IN INPE-BRASIL

SPACE-BASED INFORMATION FOR SPACE-BASED INFORMATION FOR DISASTER MANAGEMENT AND MITIGATION DISASTER MANAGEMENT AND MITIGATION

IN INPE-BRASIL IN INPE-BRASIL

NUCLEUSNUCLEUS OF RESEARCH AND APPLICATION OF OF RESEARCH AND APPLICATION OF GEOTECNOLOGIES IN NATURAL DISASTERS AND GEOTECNOLOGIES IN NATURAL DISASTERS AND

EXTREME EVENTSEXTREME EVENTS

GEODESASTRES-SULGEODESASTRES-SUL

NUCLEUSNUCLEUS OF RESEARCH AND APPLICATION OF OF RESEARCH AND APPLICATION OF GEOTECNOLOGIES IN NATURAL DISASTERS AND GEOTECNOLOGIES IN NATURAL DISASTERS AND

EXTREME EVENTSEXTREME EVENTS


Tania Maria SausenTania Maria SausenGEODESASTRES-SUL / INPE-CRSGEODESASTRES-SUL / INPE-CRS

[email protected]@crs.inpe.br

National Institute for Space Research-INPE

Southern Regional Center for Space Research-CRS

Geodesastres-sul



Geodesastres-sul

MisssionMisssionThis Nucleus has as mission to develop research, methodologies and applications projects using geotechnologies (space-based information and GIS) to give support to the natural disasters and extreme events prevention, aiming to the mitigation of these phenomena and their consequences in the Southern region of Brasil and MERCOSUL.

GoalsGoals• The develop and mantain a data base about natural disasters to support research and application projects ;• To map natural hazards and identify risk areas using space-based information;• To develop new methodologies for prevention and monitoring of natural disasters by space-based information;• To create and implement educational and capacity building activities for professional, undergraduate and gradute students and schools teachers, additionaly to develop outreach activities;• to look for partnership with national and international institutions that work with natural disasters and geotechnology information •To disseminate the use of geotechnologies for natural disasters and extreme events in the Brazilian Southern region and MERCOSUL.





FacilitiesFacilitiesFacilitiesFacilities

INPE-CRS/Santa Maria, RS

GEODESASTRES-SUL facilities





FacilitiesFacilitiesFacilitiesFacilities

Why to establish the GEODESASTRES-SUL in the Southern region of Brasil?

Natural Disasters in the World (1900-2006)


Natural Disasters in the World (1900-2006)

Distribution of natural disasters around the world, by continents in the period of 1900-2006. Legend: IN – Flood, ES – Landslide, TE – Storm, SE – Drought, TX – Extreme

temperature, IF – Forest fire, VU – Volcanism, TR – Earthquake and RE – Undertow. Fonte dos Dados: EM-DAT (2007).


Natural Disasters in Brasil (1900-2006)


Natural Disasters in Brasil (1900-2006)

Distribution of natural disasters around the world, by continents in the period of 1900-2006. Legend: IN – Flood, ES – Landslide, TE – Storm, SE – Drought, TX – Extreme

temperature, IF – Forest fire, VU – Volcanism, TR – Earthquake and RE – Undertow. Fonte dos Dados: EM-DAT (2007).

Increase of the precipitations associated with severe storms in the period of 2090-2099. Legend: DJF(December, January and February),

JJA (June, July and August). Source: IPCC (2007).

Why to establish the GEODESASTRES-SULWhy to establish the GEODESASTRES-SUL in the Southern region of Brasil?in the Southern region of Brasil?

Climate ChangesClimate Changes

Why to establish the GEODESASTRES-SULWhy to establish the GEODESASTRES-SUL in the Southern region of Brasil?in the Southern region of Brasil?

Climate ChangesClimate Changes

Climate ChangesMore Catarinas?!

Climate ChangesMore Catarinas?!

Natural Disasters-GeotechnologiesNatural Disasters-Geotechnologies


Data BaseData Base

a) Data Input:

• Data about natural disasters and extreme events given by the Damage Evaluation Report from the Civil Defense (AVADAN) and from the newspapers, magazines, etc; • Geoenvironmental data from satellite images, meteorological data, cartographic data and model data; • Socio-economical data, such as: population, poverty index; health conditions, education, etc.; • Field work data, such as: questionary, damage and prejuizos evaluation, etc.

b) Process: • Natural disasters Inventary and sitematization;

• Development of danger, vulnerability and risk maps; • Diagnosys about the risk areas; • Monitoring of disasters and extreme events(before and during the disasters); • Geoenvironmental diagnoses of disasters and extreme events (after the disasters).

c) Users Interface

DATA BASEDATA BASEDATA BASEDATA BASE

HOMEPAGEHOMEPAGE

DATABASE AND HOMEPAGEDATABASE AND HOMEPAGE

Up to 1800 publications collectedUp to 1800 publications collected

Every day 33 news papers from South region in Brazil are Every day 33 news papers from South region in Brazil are accessedaccessed

More than 100 disasters were reported since January More than 100 disasters were reported since January in the three states from South region and more than in the three states from South region and more than 500 municipalities were damages by theses events;500 municipalities were damages by theses events;

Precipitation data were collected in 1500 estações in the Precipitation data were collected in 1500 estações in the three southerns states. From these data precipitation three southerns states. From these data precipitation historical series were developed.historical series were developed.

More than 10.000 natural disasters events information More than 10.000 natural disasters events information were collected since 1980.were collected since 1980.

Up to 1800 publications collectedUp to 1800 publications collected

Every day 33 news papers from South region in Brazil are Every day 33 news papers from South region in Brazil are accessedaccessed

More than 100 disasters were reported since January More than 100 disasters were reported since January in the three states from South region and more than in the three states from South region and more than 500 municipalities were damages by theses events;500 municipalities were damages by theses events;

Precipitation data were collected in 1500 estações in the Precipitation data were collected in 1500 estações in the three southerns states. From these data precipitation three southerns states. From these data precipitation historical series were developed.historical series were developed.

More than 10.000 natural disasters events information More than 10.000 natural disasters events information were collected since 1980.were collected since 1980.

Catarina HurricaneCatarina Hurricane

23/03/0410:09 (Vis)

24/03/0410:39 (Vis)

26/03/0411:39 (Vis)

27/03/0410:09 (Vis)

27/03/0420:39 (IR)

28/03/0403:39 (IR)

Catarina Hurricane monitoring by GOES 12 satellite images.

Catarina HurricaneCatarina Hurricane

MODIS image from Catarina Hurricane, on 27/march/2004.Image source: NASA (2007)

Catarina Hurricane Damage AreaCatarina Hurricane Damage Area

Mapa dos danos do Furacão Catarina realizado em SIG com dados de GPS e Modelo Digital de Terreno.

Tornado in Muitos Capões city - RSTornado in Muitos Capões city - RS

(GPS)

Subtração LANDSAT/TM band 7(Before - After)


Classificação: F3Ventos: 250 a 330 km/hExtensão: 48 kmLargura Máxima: 290 m


Vegetation Index MODIS/EVI Brazilian Souhtern Region

Vegetation Index MODIS/EVI Brazilian Souhtern Region

CBERS MosaicMODIS Mosaic

More than 600 MODIS images from Brazilian Southern Region and part of MERCOSUL, in the period from September 2000 to October 2007

More than 600 MODIS images from Brazilian Southern Region and part of MERCOSUL, in the period from September 2000 to October 2007

Severe drougth during the summer in 2004/2005.

MODIS Images for drought and flooding studiesMODIS Images for drought and flooding studies

Flooding areas in: 2004 2003

2002 2001

Regular Water-MODIS

In this same area there were floodings events In this same area there were floodings events from 2001 to 2004.from 2001 to 2004.In this same area there were floodings events In this same area there were floodings events from 2001 to 2004.from 2001 to 2004.

Flooding Monitoring Flooding Monitoring Flooding Monitoring Flooding Monitoring

MODIS/AQUA Image- MODIS/AQUA Image- SeptemberSeptember 25th, 200725th, 2007

MODIS/AQUAMODIS/AQUA Image-September 9th, 2007 Image-September 9th, 2007

InundaçãoEnchenteAlagamento

REDEC1REDEC2REDEC3REDEC4REDEC5

40 0 40 80 120 160 km

Uruguai

Argentina

ParaguaiSanta Catarina

Oce

ano

Atlânt

ico

Floods in Rio Grande do Sul in 2003Floods in Rio Grande do Sul in 2003

Drought in Rio Grande do Sul state from 2003 to 2005

Drought in Rio Grande do Sul state from 2003 to 2005

Drought in 2003

40 0 40 80 120 160 km

Uruguai

Argentina


Oce

ano

Atlânt

ico

Drought 2004

40 0 40 80 120 160 km

Uruguai

Argentina


Oce

ano

Atlânt

ico

Drought 2005

40 0 40 80 120 160 km

Uruguai

Argentina


Oce

ano

Atlânt

ico

Focos de Calor no Rio Grande do Sul

0

20

40

60

80

100

120

140

160

Mês

Nú

me

ro

2003 2004 2005 2006 2007

Heat Spot /Month in Rio Grande do Sul State

Heat Spot /Month in Rio Grande do Sul State

Heat Spot in Brazilian Southern Region Heat Spot in Brazilian Southern Region Heat Spot in Brazilian Southern Region Heat Spot in Brazilian Southern Region

Heat Spots-2006 Heat Spots-2006 Heat Spots-2006 Heat Spots-2006

Heat Spot in Rio Grande do Sulstate in 2006

Heat Spot in Rio Grande do Sulstate in 2006

Focos de calor 2006

Uruguai

Argentina

Paraguai

Santa Catarina

Oce

ano

Atlânt

ico

+

Terrain Elevation Model in Rio Grande do SulTerrain Elevation Model in Rio Grande do Sul

SRTM Image

CBERS Mosaic

Coverage of all South Coverage of all South AmericaAmericaCoverage of all South Coverage of all South AmericaAmerica

Terrain Elevation Model-SRTM Terrain Elevation Model-SRTM Terrain Elevation Model-SRTM Terrain Elevation Model-SRTM

Rio Grande do Sul state Santa Catarina state

Paraná State

Disasters Identification Disasters Identification Disasters Identification Disasters Identification

Natural Disasters Intensity (low, medium, high) Natural Disasters Intensity (low, medium, high) Natural Disasters Intensity (low, medium, high) Natural Disasters Intensity (low, medium, high)

Kinds of Natural Disasters Kinds of Natural Disasters Kinds of Natural Disasters Kinds of Natural Disasters

CAPACITY BUILDING CAPACITY BUILDING Educational MaterialEducational Material

CAPACITY BUILDING CAPACITY BUILDING Educational MaterialEducational Material

TOPICS:TOPICS:• Natural Disasters-Fundamentals Concepts;Natural Disasters-Fundamentals Concepts;• Geotechnologies-Fundamentals Concepts;Geotechnologies-Fundamentals Concepts;• Natural Disasters and Geotechnologies: Lanslides; Drought; Hurricane; Flood; Burning; Heat Natural Disasters and Geotechnologies: Lanslides; Drought; Hurricane; Flood; Burning; Heat Islands; Hail; Tornado; Windstorm; Earthquake; Avalanche; Islands; Hail; Tornado; Windstorm; Earthquake; Avalanche; Lahar; Tsunami; Volcanic activity

CAPACITY BUILDING CAPACITY BUILDING Training Courses Training Courses

CAPACITY BUILDING CAPACITY BUILDING Training Courses Training Courses

REGIONAL CENTER FOR SPACE SCIENCE AND TECHNOLOGY

EDUCATION FOR LATINA AMERICA AND THE CARIBBEAN-CRECTEALCCAMPUS BRASIL

(AFFILIATED TO THE UNITED NATIONS)

NATIONAL INSTITUTE FOR PSACE RESEARCH-INPESouthern Regional Center for Space Research-CRS

GEODESASTRES-SUL

With the support of the United Nations Office for Outer Space Affairs (UNOOSA) by its new program UN-SPIDER – United Nations Platform for

Space-based Information for Disaster Management and Emergency Response

I SEMINARI SEMINAR

““GEOTHECNOLOGIES FOR NATURAL DISASTERS PREVENTION AND GEOTHECNOLOGIES FOR NATURAL DISASTERS PREVENTION AND MITIGATION IN THE BRAZILIAN SOUTH REGION AND MERCOSUL”MITIGATION IN THE BRAZILIAN SOUTH REGION AND MERCOSUL”

November 27-29, 2007November 27-29, 2007

Early Warning Systems Operational in Brazil

Early Warning Systems Operational in Brazil

• Brazil is the largest and most populous country in South America.

• Annually the country is affected by a variety of natural disasters as severe storms, flooding, landslides, droughts and fires which affect thousand of people.

• More than 95% of these disasters are related to the climate, its variability and extremities.

Drought in Amazonia

•Nowadays the capacity of the country to foresee the occurrence of natural disasters with antecedence in order to mitigate its adverse consequences is reduced •Frequently, due to lack of forecasts, the actions of the governmental authorities are limited to post-event activities without prevention or mitigation.

Flooding in São Paulo city

CPTEC/INPECPTEC/INPECPTEC/INPECPTEC/INPE

• The Center for Weather Forecasting and Climate Studies -CPTEC of INPE develops, produces and disseminates weather forecasts as well as seasonal climate forecasts.

• Since its establishment in 1994, the CPTEC/INPE disseminates meteorological warnings of extreme meteorological phenomenon for the whole country.

• In case of intense or drawn out rains, the CPTEC/INPE developed as part of its operational routine, an information system to support the Civil Defense.

Semi-automatic System of Forecast, Semi-automatic System of Forecast, Hydrometeorological and Environmental Data to Hydrometeorological and Environmental Data to

Sustain Natural Hazards ManagementSustain Natural Hazards Management

Semi-automatic System of Forecast, Semi-automatic System of Forecast, Hydrometeorological and Environmental Data to Hydrometeorological and Environmental Data to

Sustain Natural Hazards ManagementSustain Natural Hazards Management

CPTEC/INPE and others Brazilian institutions are developing a semi-automatic system of forecast, hydrometeorological and environmental data to sustain natural hazards management.

The main objective of the project is to develop predictive capacity to identify probability of occurrence of natural disasters caused by meteorological and climatic extremities for the 5500 Brazilian municipalities..

Potential Risk Maphttp://sigma.cptec.inpe.br/produto/queimadas

Map of number of days with hydric deficithttp://www.cptec.inpe.br/proclima/index.shtml

Semi-automatic System Semi-automatic System of Forecast, of Forecast,

Hydrometeorological Hydrometeorological and Environmentaland Environmental Data to Sustain Data to Sustain

Natural Hazards ManagementNatural Hazards Management

ANALISIS

UUSSEERRSS

Additional databasesAdditional databases

Meteorological,Meteorological,climateclimate

and hydrologicaland hydrological datadata

Natural hazards risk Natural hazards risk and vulnerability dataand vulnerability data

Potential risk areas Potential risk areas mappingmapping

EnvironmentalEnvironmental extremesextremes ACTIONSACTIONSWARNINGWARNING

Semi-automatic System of Forecast, Hydrometeorological and Environmental Data

to Sustain Natural Hazards Management







http://www.cptec.inpe.br/serradomar/desenvolvimento.shtmlDR. EYMAR SILVA SAMPAIO LOPESDR. EYMAR SILVA SAMPAIO LOPES

Coordinadtor-INPE/DPICoordinadtor-INPE/DPI

Pilot Project

Before the Before the LandslideLandslide

Landslide in São Sebastião in 06 December 1994Landslide in São Sebastião in 06 December 1994 Landslide in São Sebastião in 06 December 1994Landslide in São Sebastião in 06 December 1994

Pedras River Basin

+ than 100 spots of mass movement

Photo IPT (2001)

After the After the LandslideLandslide

Presidente Bernardes Refinery

BRAZILIAN DISASTERS NETWORK AND PORTAL

BRAZILIAN DISASTERS NETWORK AND PORTAL

The Brazilian Institute for Geography and Statistic-IBGE has invited all Brazilian institutions involved wiht disasters to build up a network and a portal about disasters activities in Brasil. The goals of this portal are:

•To put together all information about disasters that are available in several differents sites

•To give more accessibility about disaster information to the Brazilian community;

•To ensure that relevant information is easily accessible and disseminated to all interested end-users

•To be a bridge to connect the disaster management and space communities

•To transfer of knowledge and technology to Brazilian community

• To establish communities of practice

• To be a platform for fostering alliances

IBGE SEMINAR IN AUGUST 30TH, 2007IBGE SEMINAR IN AUGUST 30TH, 2007IBGE SEMINAR IN AUGUST 30TH, 2007IBGE SEMINAR IN AUGUST 30TH, 2007


THANK YOUTHANK YOUTHANK YOUTHANK YOU

CBERS-CCD ImageFebruary 19, 2005Uruguai RiverUruguaiana city

CBERS-CCD ImageNovember 11, 2005Uruguai RiverUruguaiana city

space-based information for disaster management and mitigation in inpe-brasil

Technology

natural disasters inventary

withnatural disasters

natural hazards

geoenvironmental data

southern region of brasil

cartographic data

meteorological data

extreme events prevention