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Identification of Landslides with combined RS and GIS data. Kuo-Hsin Hsiao, Jin-King Liu , Ming-Fong Yu. Speaker : Kuo-Hsin Hsiao. August 25, 2005. Identification of Landslides with combined RS and GIS data. List of Contents. 1. Introduction 2. Landslide Detection

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Presentation Transcript
slide1

Identification of Landslides with combined RS and GIS data

Kuo-Hsin Hsiao, Jin-King Liu, Ming-Fong Yu

Speaker : Kuo-Hsin Hsiao

August 25, 2005

slide2

Identification of Landslides with combined RS and GIS data

List of Contents

1. Introduction

2. Landslide Detection

3. Results of landslide interpretation

4. Concluding Remarks

slide3

1. Introduction

◆ Geologic and terrain characteristics in TAIWAN

◆ Climate condition –

typhoon, torrential rainfall

◆ R.S. data – spatial、temporal resolution

resolution, data acquisition, time required for interpretation, combined information of GIS, etc.

Lithology-conglomerates

Highly fractured rock formations

Variations of Geologic Conditions:

A section across Taiwan

introduction
Requirement of A Monitoring and Early Warning System

Both for Emergency Response and for Mitigation Policy

Landslide Detection Using Satellite Images

High Frequency Periodic Observation and Measurements : Month~Year

Data : SPOT-5 or Formosat-2

.

.

Objectives of the study:

Periodic landslide Monitoring for Sustainable Management using high resolution data (for detecting small landslides)

Prevention of Illegal Land Use and Deterioration

Disaster Damage Estimation

Background

Introduction

Sun-Synchronous Orbit

Altitude = 891 km; Inclination = 99.10 deg; Period = 14 Rev/day

Orbit of FORMOSAT-2

introduction1

Research Area: Shihmen Reservoir

Introduction

SPOT image flight path (CSRSR)

shihmen reservoir
Purpose of the Reservoir

General water supply

Irrigation

High-tech industry

Watershed Area:764 KM2

Capacity: 2.5 x 108 M3

Terrain Variation : 252M~3,500 M

Average Rain Fall : 2,500 mm/yr

Land-Use Type

Coniferous Tree, Deciduous Tree

Orchard, Rice, Village, Farming, Foresting

Bare Soil, River, Mixed-Forest, Bamboo, Grass Land

Mixed Coniferous-Deciduous Tree, Others.

Shihmen Reservoir

Introduction

Land-Use Coverage

shihmen reservoir1
Shihmen Reservoir

Introduction

DEM

slope

Soil map

forest type

disaster typhoon aere
Duration :

Aug. 23 ~ Aug. 25, 2004

Maximum total accumulative rain fall -1,600 mm

Maximum rain fall

146 mm / hr

Disaster – Typhoon AERE

Introduction

CWB

Contour of Total Accumulative Rain Fall

2004-08-24-09:23

2004-08-25-09:23

water quality after typhoon
Satellite RadarWater Quality after Typhoon

Introduction

2004/8/26 FORMOSAT-2

2004/8/26 FORMOSAT-2

High turbidity

NSPO

CWB

NSPO

Satellite IR

Typhoon Road of AERE

2 landslides detection
2. Landslides Detection

Data Acquisition

Formosa-II 2005/04/04

Resolution:2m & 8m

SPOT-5 2004/08/16

Resolution:10m

SPOT5 2005/03/16

Resolution:2.5m & 10m

landslides detection

Disaster Estimation & Analysis Processes

Landslides Detection

Classification

Day-2 Image

Day-1 Image

overlay

NDVI/CVA

NDVI/CVA

Change Detection

NO

Landslide Coverage

Change ?

Stop

YES

DTM + Image

(3D Visualization)

Disaster Estimation

On-Site

Photography

Disaster Areas

Overlay Analysis

landslides detection1

Various Types of Landcover and Landuses

Landslides Detection

(a)River-bank landslides (b)Slope landslides (c)Upstream landslides (d) snow on tops

(e)Grass lands (f)Excavated lands (g)Cultivated lands (h)Mountain village

(i)Plain villages (j) Cemetery (k)Roads (l)Rivers

slide14

Landslide interpreted from SPOT5 10m & 2.5m

Results

Spatial resolution : 10m

Spatial resolution : 2.5m

slide15

Landslide interpreted from formosat2 8m & 2m

Results

Spatial resolution : 8m

Spatial resolution : 2m

slide17

3D Visualization of Detected Landslides

Results

Landslide induced by typhoon AERE

CSRSR

Red regions denote the detected landslides of Formosat-2 test data.

CSRSR

CSRSR

SPOT-5(2004/08/16)

SPOT-5(2005/03/16)

SPOT-5(2004/08/16)

SPOT-5(2005/03/16)

On-Site Photography

On-Site Photography

slide18

Landslide induced by typhoon AERE

Results

CSRSR

On-Site Photography

SPOT-5(2004/08/16)

SPOT-5(2005/03/16)

CSRSR

Helicopter Photography

SPOT-5(2004/08/16)

SPOT-5(2005/03/16)

slide19

Flight Simulation after NERE Typhoon

Formosat-2 image

SPOT image

2003/11/14

Before typhoon NERE

2004/8/31 (NSPO)

After typhoon NERE

conclusions
Requirements of A Monitoring and Early Warning System

Bottleneck--Data Acquisition

High frequency data acquisition of remote sensing.

Near Real-time Dynamic Monitoring…

Conclusions
  • Typhoon AERE
    • Statistics
      • 477 & 473 places, total areas of 693.33 & 723.74 hectares of landslides were detected using SPOT-5 and Formosat-2 fusion data
      • The reliability of landslide detection is high when comparing with on-site photography.
conclusions1
With Formosat-2, A Possibility of Near real-time disaster estimation

Provide disaster information in a short time.

Historical data collection is important. A comparison can be made by GIS database.

Construction of GIS database infrastructure is critical for post-disaster analysis.

Conclusions