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Prediction of Landslides in Nilgris

C. Subha, C. Santhiya

Abstract


Nilgiris district the mountainous region of Tamil Nadu is highly subjected to landslides causing loss of life and damage to property. It is a recognized fact that landslide and landslide prone areas can be identified  using remote sensing techniques. In this studyartificial neural network for landslide susceptibility has been studied and then applied to the
study area of Nilgiris. The landslide susceptibility maps provide information to support decision for resource development, planning in land use and in linear projects such as roads, railways, pipelines transmission lines etc. The landslide related factors were extracted from the spatial database created. These factors were then used with artificial neural network to analyze the landslide susceptibility. The model was first trained with back propagation
algorithm and the effect of training was verified.


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