WP4: landscape dynamics

Task leads: Geological Survey of India, British Geological Survey, Consiglio Nazionale delle Ricerche

Kalimpong town


Task 4.1: preparation of landslide and other landscape dynamics thematic data

Task 4.2: use/development of semi-automatic image processing for landslide inventories

Task 4.3: hazard susceptibility modelling: landslide types and domains

Key deliverables

  • enhanced landslide inventories, data and thematic maps in pilot areas
  • procedure for landslide monitoring using remote-sensing techniques
  • landslide hazard models for pilot areas delivered as web-mapping services

WP4 will work closely with WPs 2, 3 and 5 to:

  • enhance current landslide event and process knowledge (e.g. conditioning and triggering factors) in pilot-study areas
  • deliver hazard models for pilot-study areas as web-mapping services on a slope to region scale

We recognise that India has significant expertise in landslide risk assessment and site-specific early-warning sensor networks. A number of these leading Indian experts are core members of our team.

Pre-conditioning factors

Landslip scales
  • geology
  • topography
  • Quaternary history
  • vegetation change
  • tectonic activity
  • land use
  • antecedent moisture

Triggering factors

  • rainfall
  • changes in water levels
  • loading/unloading
  • earthquakes