Landslide inventory, hazard and risk assessment in India

摘要: The recent census in India revealed that is now housing 17% of the world’s population, and on way to become most populated country. Landslides are an increasing concern due rapid population expansion hilly mountainous terrain. affect vast areas within India, particular Himalayan chain North Eastern part country Western Ghats Southwest. Geological Survey (GSI) has been designated as nodal agency for landslides by Indian government, they responsible landslide inventory, susceptibility hazard assessment. Until recently their assessment was based a heuristic approach using fixed weights or ranking geofactors, guidelines Bureau Standards (BIS). However, this method disputed it doesn’t provide accurate results. This paper gives overview research how existing methods could be improved, these used (semi)quantitative risk Due unavailability airphotos large parts satellite remote sensing data standard input inventory mapping. National Remote Sensing Center (NRSC) developed semi-automatic image analysis algorithms combine spectral, shape, texture, morphometric contextual information derived from high resolution DTMs preparation new well historical inventories. Also use form maintenance records, other generate event-based inventories presented. Event-based estimate relation between temporal probability, density size distribution. Landslide can subdivided heuristic, statistical deterministic methods. Examples given different scales analysis. For medium presented analyze spatial association causal factors, including those related structural geology, select appropriate factors types, them multivariate transportation corridors quantitative database. Deterministic several dynamic slope-hydrology slope stability models have applied evaluate land changes steep watershed. ends with maps combined databases convert into which subsequently (semi) at analysis, results reduction planning.