RAPID ASSESSMENT OF ENVIRONMENTAL CHANGES

IN POST DISASTER AREAS UTILIZINGUAV-BASED MAPPING

1. Before Disaster (mitigation, simulation, earlywarning)

2. When Disaster (rapid assessment, emergencyresponse)

3. Post-Disaster (monitoring, rehabilitation)

Why UAV-Based ? RIMSRapid Imaging and Mapping SystemTeknologi Karya Kreatif Anak Bangsa

Person In Charge

Di Lapangan

UAV

Tele-kontrol maks

10km

Autopilot

Berat < 2.5kg

Kemampuan produksi

< 750Ha per Hari

Cost-Effective possible doing voluntary

Operate by Local Staff possible participatory

Sharp and enough accuracy to see individual

Fast in Production

UAV-Based Mapping Position

Periodic monthly

Selected/Limited Area

Month - Year

Days - Week

Month-Year after shock

Year

Selected/Limited Area

Selected/Limited Area

Selected/Limited Area

The Needs For Geo-information

Mitigation

Emergency Resp.

Reconstruction

Rehabilitation

13 M Ha

51 M Ha

42.5 M Ha19.5 M Ha

0.5 M Ha 4.6 M Ha

9 M Ha

2 M Ha

(by Irawan Sumarto, Director of Base Mapping)

Indonesia Region (Land Part)

+ 190 Million Ha

so big so many Island so beautiful also

Meeting the Need for disaster mapping:

- In General, Damage Area < 3000 Ha

(EXCEPT ACEH/EARTHQUAKE)

- High Accuracy up to 0.1m resolution and geometric quality

(TO SEE THE OBJECTS....)

- Low cost, fast in production, and easy in operate

(DEPLOYABLE, PORTABLE, RESPONDABLE, SAFETY)

Indonesia Region (Land Part)

BUT high risk form disaster

Some Facts, regarding the needs for imagery

Most of People want to see the objects

Satellite Imagery is not enough to see the objects

The Damages Happen in small area (< 3500Ha)

Its lucky, if we have up to date geo-database

limited cost; operator/technicians; any fast product?

Running UAV-based Photogrammetry can handle those facts and have some benefits also

Portability RIMSRapid Imaging and Mapping SystemTeknologi Karya Kreatif Anak Bangsa

Seeing the Parameter for a Better Anticipation

Tsunami, its parameters: the strength of the quake, coastal bathymetry, coastal land use, historical records

Landslide, parameters: rainfall, soil slope, soil structure, land use, the historical record.

Volcano (eruption and debris flow), its parameters: topography, watersheds, land use, changes in dimensions, gas / chemical, a record period of eruption.

Earthquake (tectonic), parameter: the movement of the plates, layer structure, the condition of buildings, land use, historical records

Flood, parameters: rainfall, tides, soil porosity, land use, elevation, surface hydrological network, the historical record.

Fire, parameters: surface temperature (hot-spot), density, network utilities, water resources.

Tropical Cyclon, parameters: meteorology, land use, utility network

Drought, parameters: Climate change, land use, surface hydrology

Epidemic of disease, social conflict, failure of technology, population density, economic-region

Seeing the Parameter for a Better Anticipation

Demanding The Common Data

Terrain topography: elevation, slope, watersheds, geomorphology, etc.

Cover and land use patterns

The existence of assets: infrastructure, Public Facilities, utility networks, property rights, etc.

Population density / residential

Meteorology, climatology

bathymetry, oceanography, current patterns, etc.

Can UAV-imagery see all of those ?

Triangulasi Udara

Otomatis

Titik Kontrol dari Posisi Kamera

sebagai Nilai Pendekatan

Pemotretan dengan UAV

(Autonomous) dengan nilai GSD

sesuai KAKDesain jalu terbang

sesuai KAK

Download

Ortofoto dan DEM

Interpretasi Tematik, Digitasi, dan

Kartografi

Production

Line

Limitations And Problems

Can Not See Terrain

LANDSLIDE (BANJARNEGARA)

Kabel Ekstension (extensiometer) untuk pemantauan gerakan

The Building Crack Can not see from above

LANDSLIDE CASE (BANJARNEGARA)

Vegetation Coverage make difficult to measure Terrain

LANDSLIDE CASE (BAWAKARAENG)

Old Caldera colaps debris flow

See Indicidual Changes

Sebelum Banjir Lahar Dingin Kali Code

Setelah Banjir Lahar Dingin Kali Code

Sebelum Rekonstruksi Huntara Merapi

Setelah Rekonstruksi Huntara Merapi

COLD LAVA FLOW

Before (QuickBird image) After (UAV aerial Image)

Inundation

Simulation

(created by

DANY

PUGUH

LAKSONO

Only Damage Houses can be seen

Imagery from the system with spatial resolution less than 20cm can

see man-made objects and the enviromental changes clearly.

The existence of previous data (existing) is very important in terms of

assessing the changes that occur. Not all objects can be seen from

the air as a result most of the objects covered by the higher object.

The Houses with minor damaged (cracked) can not be interpreted

clearly on the aerial photo image.

In the future, need to be developed in terms of process automation

objects valuation changes (change detection) to speed up the

process of assessment in environmental.

This technique also open the possibilities for running the participatory

mapping, where local people can be involve in thematic map

production..

Conclusion