gis hazard unep

5/31/2018 Gis Hazard Unep

1/57

GIS RELATED TO HAZARD IN

INDONESIA

Prof. Dr. HARTONO, DEA, DESSGRADUATE SCHOOL GADJAH ADA UNIVERSITYPhone 0274-649 2348; mobile 0811268894; fax. 0274-589595

[email protected]; [email protected].
mailto:[email protected]:[email protected]


2/57

SUBJECTS OF THIS PRESENTATION

(1) LU PLANNING : ZONING ANDMANAGEMENT,

(2) MITIGATING RISK AND HAZARD INCOASTAL PLANNING AND MANAGEMENT


3/57

Geographic Information System

DATA BASE

(A,B,C)


4/57

GEOGRAPHIC INFORMATION/GEOMATICS(ISO/TC 211 N 573)

Two viewpoints : technology and tasks.

a. Digital survey instruments

b. Global Positioning System.

c. Remote Sensingd. Geographic Information Systems.

e. Spatial Systems Engineering Toolsf. Spatial Database Management

g. Automated Cartography

h. Visualisation

i. Modeling

j. Spatial Analysis


5/57

GIS Data Sources

Nasional-Technical Maps

Satelit Images

Photogrametry

GPS

Terestrial Survey

REAL World


6/57

EARTH SURFACE DATA COLLECTION

TERESTRIAL METHOD

EARTH

OBSERVATION AND MEASUREMENT

Surveying, GPS, Cencus, Participatory Rural Apraisal,RRA, Interview/Participant

SPATIAL DATABASE/GEO-DATABASE

Spatial,location on earth : point, line, poligonedanAtributte: thematicdata on that location, NR land, water, forest, minerale/rock, sea/

Environment :abiotic, biotic, cultural


7/57

REMOTE SENSING + Terrestrial

EARTH

SENSOR

(Aerial camera, Scanner)

REMOTE SENSING IMAGERY

(hardcopy, digital)

OBSERVATION and MEASUREMENT(Interpretation, photogrammetry)

SPATIAL DATABASE/geodatabase

(Spatial dan Attribute)


8/57

14

15

16

17

18

19

20

Bali Continuous GPS Real Time Network

[email protected]


9/57

SATELLITE IMAGE FOR MARINE

OCEAN COLOR

SEAWIFS Marine Observation Satellite (MOS) NOAA GeoMeteorological Satellite

ARGOS METEOSAT ERS-1 JERS-1

ALMAZ RADARSAT MODIS PROSPACE


10/57

Coastal Natural and Human Process Hazards

HydrometeorologicalHazards: Floods Tropical Cyclones

Severe Storms

Drought Extreme Temperatures Air Pollution, Haze and Smoke Dust and Sandstorms Snow Avalanches and Winter

Weather Hazards

Famine

Geological Hazards: Earthquakes

Tsunamis

Volcanoes Landslides Near-Earth Objects

Biological Hazards:

Epidemics

Locust Swarms Environmental Degradation:

Desertification

Wildland Fire

Source: ISDR Platform for the Promotion of Early

Warning, after Orbita Roswintiarti Segara Anakan

Menado


11/57


12/57

MANGROVE


13/57

CORAL REEF


14/57

Environmental Information

SP SI L N LYSIS

nalysis in GISNEW INFORM TION

Road

Hidrology

Coast line

Land use

Geology

Other Thema

Administrative

Population

Hazard Information

Informasi

lain

D T SOURCES

Land Use Information

DisasterApplication

Others

Aplication

Environmental Application

Space

arangement

application


15/57

GIS APPLICATION FOR

ENVIRONMENTAL STUDY

S/G S f f


16/57

StandardsData Model

Bio-Physical andSocio-Economic Data

Spatial Reference

System

Spatial Framework

Decision Support System

AnalysesSpatial Modeling

Natural Resources Mgmt.

Climate Change, Biodiversity;

socio-economy

Water Resources;

Natural Hazards

----------

Decision-

Making

Knowledge

Information

Data

Sustainable

Coastal areas

Development

DSS/Application

Integration/

Databases

Aggregation

RS/GIS for Disaster Information Management - Framework

RS/GIS for Coastal Hazard Information Network

InternationalCollaboration

NationalPartners Capacity Building

Information Sharing Platform(Disaster GeoPortal)

MetadataServices

Core GISServices

ApplicationServices

Other Coastal ManagementNetwork

Integrated Database / DBMS

CoreDatasets

ThematicDatasets

ImageDatasets

After Basanta Shrestha, 2006, with modification


17/57

Aceh Tsunamis Damage Areas Mapping,after Orbita Roswintiarti

Before After

IKONOS


18/57

Disapperance of Limboto Lake in Gorontalo by Sedimentation Process

Actual LimbotoLake Ancient Limboto Lake


19/57

Natural Climatic Variable

Precipitation deficiency

(amount, intensity, timing)

High temp., high winds, low

relative humidity, greater

sunshine, less cloud cover

Reduced infiltration, runoff,

deep percolation and

ground water recharge

Increased

evaporation and

transpiration

Soil water deficiency

Plant water stress, reduced

biomass and yield

Reduced stream flow,

inflow to reservoirs, lakes

and ponds; reduced

wetlands, wildlife habitat

Economic impacts Social impacts Environmental impacts

Meteorological

drought

Hydrological

drought

Agricultural

drought

Time(duration)

CHRONOLOGY OF DROUGHT

WWW.NOAA.GO

GJJ1999


20/57

Atmosphere Atmosphere Atmosphere Atmosphere Atmosphere Atmosphere

Land surfaceLand surfaceLand surfaceLand surfaceLand surface

Ocean & sea-ice Ocean & sea-ice Ocean & sea-ice Ocean & sea-ice

Sulphate

aerosol

Sulphate

aerosol

Sulphate

aerosol

Non-sulphate

aerosol

Non-sulphate

aerosol

Carbon cycle Carbon cycle

Atmosphericchemistry

Ocean & sea-icemodel

Sulphurcycle model

Non-sulphateaerosols

Carboncycle model

Land carboncycle model

Ocean carboncycle model



Off-line

modeldevelopment

Strengthening coloursdenote improvementsin models

1975 1985 1992 1997

GJJ1999

Development of CLIMATESYSTEM MODEL2000 2000-2010

Development of EARTHSYSTEM MODEL

Indonesia

?

BMGAfter Mezak A Ratag, 2004


21/57

Potential Flooded Area Prediction

Inundated Areas Predicted Rainfall

Predicted Potential Flooded Areas

Source:

DEM SRTM imagery; Landsat-7

ETM+ imagery; Geologic mapPredicted OLR data, after Orbita R


22/57

Pollution in Jakarta Bay :

Heavy metal (Hg, Cd, Zn, Pb, dsb)

Hydrocarbon (Oil spill)

TBT, PCB

Coli form bacteryPlastic garbages

Sedimentation

HAB? June, 2003


23/57

RS/GIS FOR EUTROFICATION STUDY IN JAKARTA BAY

Digital CameraLandsat ETM/

Field Survei 1.5 hour from satellite

path (10:30 am and 13:30 pm)- Total Pigment

(Chlorophyll-a + phaeo pigmen )

- Total suspended materials

/seston (organic dan unorganic)- Transparency/turbidity)

- Sea Surface Temperatuure

- Plankton.

Prediction Model(Linear, Exp., Power, Log., Polinom,Multiple)

Validation -Jakarta Bay Water Quality Mapping.- Multi-temporal Water Quality Evaluation.

- Jakarta Bay Water Suitability evaluation

Management Recomendation

After Sam Wouthuyzen, 2004

Field survey


24/57

Field survey

Eutrofication :

- Nutrient increase- Blooming Fytoplankton (HAB /Red tide)

- Oxcigen Decrease (Hypoxic)

- Massal Organism Dying (fish, crab)

23 June 2003

27 October 2004

28 November 2004 28 November 2004 14 December 2004


25/57

y = 22.516e-11.24x

R2

= 0.5865

0.0

2.0

4.0

6.0

8.0

10.0

12.0

0.00 0.05 0.10 0.15 0.20 0.25 0.30

DN Chromacity Red

Transp

arency(m)


26/57

23Juli 2004

12 m

4 Mei 2004 5 Juni 2004 21Juni 2004

24 Agustus 2004 9 September 2004

25 September 2004 11 Oktober 2004 12 November 2004

TRANSPARANSI


27/57

Example of tsunami run up simulation inMeulaboh presented by using LANDSATTM, after UGM Peduli Team


28/57

BANDA ACEH : simulation can be used for mappingareas affected by the tsunami


29/57

Yogyakarta

Merapi volcano Lawu volcano

Gajahmungkur dam

EARTHQUAKE FAULT SYSTEM IN YOGYAKARTA, after Sutikno, 2006

Faults


30/57

KarangplosoPonggok II

QUICKBIRD

July 2003

Karangploso

Ponggok IIIKONOS

28 May 2006

% %

%

%%

%

%%

% %

% % %%

%%

% %% %

%

%

%%

%

%

% %

%

%

%%

%

%

%

%

%%%

%

%

% %

%

%%

% %

%%%

%

%

%%

%

%%

%

%

%%%

%

%

% %%

%

%%

%

%%

%

%%

%

%

%

%

%%

%

%

% %

%

%

%

%%

% % %

%%

%

%

%

%%

%

%

% %

%%%% %

%%

%

%

%

%

%

%

%%%%

%%%

%

%

%

%

%

% %

%

%

%

%

%

%

%

%

%

%

%

%

% %

% %

%%

%%

%

%

%

%

%

%

%

%

%

%

% %

%%

%

%

%

%%

%

%

%

%

%

%

%

%

%

%

%%

%

%

%

%

%

Karangploso

Ponggok IIIKONOS

28 May 2006

High Damage

Medium Damage

Low Damage

Sample Trimulyo Village, JetisDistrict


31/57

% %

%

%%

%

%%

% %

% % %%

% %

%%

% %

%

%

%%

%

%

% %

%

%

%%

%

%

%

%

%%

%

%

%

% %

%

%%

%

%

%

%

%

%

%%%%

%%%

%

%

%

% %

%

%

%

%

%

%

%

%%

%

%

%

%

%

%

%

%%

%

%

Karangploso

Ponggok II

309

311

312337

338

339

314315

310

313 340 345

344341

343

346348

347

349

350

354

351352

353

331

336

335

333

330

326328

329

327

332

334

320321

323

319 318

316

317

472

473

474

483

476

468

477

480478479

485486484

482

475

471

470 469

481

491

489

488

357356 378

379

380383

393

384

377

376

385

392382

920

921

360

342

325

322

324

Sample Trimulyo Village, JetisDistrict

Trimulyo Village Jetis District BANTUL YOGYAKARTA


32/57

%%

%

%%

%

%%

% %

% %

%%

% %

%

%

% %

%

%

%%

%

%%

%

%%

%

%

%

%%

%

%

%

% %

%

%

%

%

%

%

Ponggok II

324

322

325

342

921

920

376

317

316

318

319

323

321 320

332

327

329

328 326

330

333 331

353

352

351

354

350

349

347

348346

343

341 344

345340313

310

315

314

339

338337

312

311

309

Trimulyo Village, Jetis District BANTUL YOGYAKARTA

ID_FIELD 351

SHEET 0310

ID_BLD 101

X_COORD 431905,23438

Y_COORD 9129131,16824

OWNER/TENANT HERISANTOSO

DUSUN PONGGOK II

RT 4

RW 0

VILLAGE TRIMULYO

DISTRICT JETIS

FUNCTION HOUSE

FLOOR 1

BLD_STRUCTURE BRICK

ROOF TILED ROOF(CLAY)

DAMAGE HIGH

DATE 15 JUNE 2006

Note : Coastal Settlement Hazard based on

Housing individual information is actually very

needed, also forpoverty management


33/57

Hotspot and Smoke Haze Monitorings

Source:

NOAA-18 AVHRR

Terra/Aqua MODIS


34/57

Fire Spread Risk Index Map of Sumatra and Kalimantan

Fi S d Ri k I d M f S d K li


35/57

Fire Spread Risk Index Map of Sumatra and Kalimantan


36/57

Example: Pilot region Cilacap: Access to save areas


37/57

GIS FOR SPATIAL ARRANGEMENT FOR LAND USE

SLOPE MAP

SOIL MAPRAINFALL

INTENSITY MAP

SCORING

SPATIAL ARRANGEMENT FORLAND USE


38/57

SCORING SYSTEM

SLOPE : 5 CLASSES

45% : 100

SOIL SUSCEPTIBILITYTO EROSION (5CLASSES: 15, 30, 45, 60, 75)

RAINFALL INTENSITYDESTRUCTION TO SOIL : 5CLASSES (10, 20, 30, 40, 50)

TIGA PETA OVERLAY : TMU,

LU, TU, MU

KAW. LINDUNG >175

KAW. PENYANGGA 125-175

KAW.BD.TAN.KERAS 8%

KAW. BD.TAN.SEMUSIM


39/57

MARITIME BOUNDARY BETWEEN 2 COUNTRIES(United Nation Convention on the Law Of the Sea, 1982)

Overlap Claim

Starting Lines

MARITIME BOUNDARY


40/57

GIS FOR FISH CATCH ZONATION: fishermen need the map produced as a guide in working

UPWELLING

SEA SURFACETEMPERATURE

BIOMASS(PHYTOPLANKTON AND

ZOOPLANKTON)

MATCHING

FISH CATCHZONE


41/57

GIS FOR SETTLEMENT SITE SELECTION:

disaster map as an important input in the model

Water Availability

Slope Map

Soil COLE Map Scoring WithSettlement Criteria

Priority For SettlementSite Selection Map

Disaster Map

Land Status


42/57

SETTLEMENT SITE SELECTION CRITERIA

1. ZONING OF LAND USE

a. Conservation zone, water body, service, trade, industry, public facility, tourism, cultural site,transportation zone (Not Suitable);

b. Regular Urban Settlement (Marginally Suitable)

c. Rice field, animal husbandry, mixed garden, rural settlement, regular urban settlement(Suitable)

d. Dry land, Bare land, (Highly Suitable)

2. DISTANCE FROM PRIMARY ROAD: a. >4,5 km (NS), b. 1-4,5km (S), c. 4,5 km (NS), b. 1-4,5km (S), c. 6 m (NS), c. 2-6 m (MS), d. 15% (NS), b. 8-15% (S), c. 15 (S), c. GW, GP, GM, GC, SW, SP, SM (HS)

10. GRAVEL: (>7,5mm% berat) : a. >50 (NS), b. 25-50 (S), c. 0,09 (NS), b. 0,03-0,09 (S), c.


43/57

GIS FOR AREA ZONATION FOR MALARIADISEASE

Health mitigation need such map and information

Slope Map Drainage PatternLand Use

Mosquito PreferenceHabitat

Risk Zonation For Malaria

LAND SYSTEM OF CENTRAL JAVA AND YOGYAKARTA


44/57

PATI

BLOR A

CILAC AP

BR EBES

WON OGIRI

GROBOGAN

TEGAL

DEMAK

KEBU MEN

KEN DAL

JEPARA

BAN YUMAS

SR AGENBOYOLALI

BATANG

REMBANG

PEMALAN G

MAGELANG

GUNU NGKID UL

SEMARANG

KLATENPU RWORE JO

WON OSOBO

SLEMAN

BAN JARNEGARA

PEKALONGAN

BAN TU L

KU DUS

TEMANGGUNG

PU RBALIN GGA

KAR ANGANYAR

SU KOHARJO

KU LON PROGO

KOTA SE MAR AN G

KOTA SALATIGA

KOTA TEGAL

KOTA KLATEN

KOTA SURAKARTA

KOTA PURW OKERTO

KOTA PEKALONGAN

KOTA YOGYAKAR TA

KOTA MAGELANG

NOT SUITABLE FOR RICE FIELD

SUITABLE FOR DRY FIELD

SUITABLE FOR COCONUT

MODERATELY SUITABLE FOR RICEFIELD

SUITABLE FOR COFFEE

SUITABLE FOR RICE FIELD

LAND SYSTEM OF CENTRAL JAVA AND YOGYAKARTA

http://sisn.bakosurtanal.go.id/sisn/

EXAMPLE OF INFORMATION SYSTEM : GARUT DISTRICT


45/57

FOTO UDARA LANDUSE UNTUK SEBAGIAN KAB. GARUT


46/57

VARIOUS DISASTERS NEED QUICK RESPONS

NIAS

Porong Sidoarjo

PANGANDARAN

MEULABOH, ACEH

Bali

THE NEED OF PROPERLY MOUNTAIN COASTAL WATERSHED


47/57

NATURAL RESOURCESPOTENTIAL

MINING ACTIVITY

POPULATION PROSPERITY MINING TAILINGLOWLAND ENDANGER

SETTLEMENT

THE NEED OF PROPERLY MOUNTAINCOASTAL WATERSHEDMANAGEMENT


48/57

COASTAL RECLAMATION IN SERANGANISLANDDENPASAR BALI.CORAL

REEF ECOSYSTEM DISAPPEARENCE ?


49/57

TAILING FROM MINING EXPLORATION DEPOSITED INTO

COASTAL AREAS : POTENTIAL ARTIFICIAL DISASTER


50/57

CAPACITY BUILDING

NETWORK STATUS IN INDONESIAN CENTRAL INSTITUTION PUSAT


51/57

Institution SK UK Metadata

Koneksitas

Kontakperson

Unit Kliring

BAKOSURTANAL V V V V PSJSDS

BPN * V V Pusdatin

BPS V V V

BMG V V Pusat Jaringan

Dept. Kehutanan V V V Badan Planologi

Dept. Pertanian V V V V Pusdatin

Dept. ESDM * V V Pusdatin

Dept. Perhubungan V V Pusdatin

Dept. Dalam Negeri V V Pusdatinkomtel

Dept. Kominfo V V Pusdata

Dept. Budpar V Pusat Pengolahan Data danSisjar

Dep. P U V V V V Pusat Pengolahan Data

Dept. Kelautan danPerikanan

V V V Pusdatin

LAPAN * V V

NETWORK STATUS IN INDONESIAN CENTRAL INSTITUTION PUSAT

Catatan : (*) masih dalam proses

Field Coastal Geospatial Ecosystem Laboratory in Parangtritis Yogyakarta, cooperationb t UGM BAKOSURTANAL BANTUL DISTRICT GOVERMENT


52/57

between UGM-BAKOSURTANAL-BANTUL DISTRICT GOVERMENT

Sand dune

Rice field

Regreening

village

DEVELOPMENT OF LABORATORY, EDUCATION,

NETWORKING, INTERNATIONALIZATION


53/57

SPA IAL INFORMA ION FOR COAS AL PLANNING


54/57

SPATIAL ALLOCATION MAP IN TRANS FLY

ECOREGION MERAUKE

AERIALPHOTO

DISCUSSION

After WWF, 2006


55/57

ICZM : WATERFRONT CITY

A DREAM

RECTAGULAR PATTERN CITY


56/57

RECTAGULAR PATTERN CITY


57/57

COASTAL DRY LAND CITY

gis hazard unep

Documents