Sala Curuki SOPAC 2012

What is it? Causes Why? Landslides

AIM: To show the techniques used in predicting landslide areas

Area of Interest

AOI In ERDAS Environment Contours

Techniques: 1. Create DEM 2. Derive Slope Classes 3. Digitize Soil 4. Digitize Landslides & Land uses 5. Overlay layers in ERDAS 6. Analyse

Slope Classes EITHER 5 IF ($n1_slope >30 ) OR (EITHER 4 IF( $n1_slope > 25) or (EITHER 3 IF($n1_slope > 20) or (EITHER 2 IF( $n1_slope >15) or 1 OTHERWISE) otherwise) otherwise) otherwise

Soil Layer

Landslides

LANDUSE COVER

Logged Areas 88,410,000 sq m

Soil Landslides Slope Classes Overlay Analysis

Combining Information in Raster Environment

Combining Layers

Overlay Process in ERDAS $n1_soil + $n4_slope_density_sliced * 10

Soil and Slope Overlay

ERDAS Map

ERDAS to ACCESS

Analysis Soil landslides

Analysis of Slope landslides

Characterising Catchment RISK_IDLANDSLIDE RISKS EXTExtreme Risk, Soil1 on slope1 and slope3 HIGHigh Risk, Soil2 and Soil4 on Slope1 and Slope3 MODModerate Risk, Soil3 & Soil6 on Slope2 and slope3 LOWLow risk, Soil5 and Soil6 on slope4 VLOVery low risk, soil5 and soil6 on slope4 and slope5

LANDSLIDE RISK MAP

Food for thought..

Future..

Challenges Time Field verification

VINAKA.. Kindly direct questions to Wolf