1. Sala Curuki SOPAC 2012

2. What is it? Causes Why? Landslides

3. AIM: To show the techniques used in predicting landslide areas

4. Area of Interest

5. AOI In ERDAS Environment Contours

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

7. 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

9. Soil Layer

10. Landslides

11. LANDUSE COVER

12. Logged Areas 88,410,000 sq m

13. Soil Landslides Slope Classes Overlay Analysis

14. Combining Information in Raster Environment

15. Combining Layers

16. Overlay Process in ERDAS $n1_soil + $n4_slope_density_sliced * 10

17. Soil and Slope Overlay

18. ERDAS Map

19. ERDAS to ACCESS

20. Analysis Soil landslides

21. Analysis of Slope landslides

22. 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

23. LANDSLIDE RISK MAP

24. Food for thought..

25. Future..

26. Challenges Time Field verification

27. VINAKA.. Kindly direct questions to Wolf