The common approach to landslide prediction is the integration of the observed landslide displacements, soil properties, and rainfall estimation into predictive models. In general, monitoring the evolution of an unstable slope may provide valuable information to gain a better understanding of the active prediction and early warning processes for potential geo-disasters. With this background an initiation has taken between India and Russia to develop cost effective methodology to monitor landslides under the Indo Russian Bilateral Collaborative Projects by DST-RFBR. Based on the hazard assessment The Nilgiris District in Tamil Nadu and Wayanad and Idukki Districts in Kerela area identified for further detailed study on monitoring Vulnerable slopes. On the territory of North Ossetia three sites of different mass volume and differenent activity rates were selected. Landslides that have not moved for years (for example Luarskiy landslide) commonly reactivate if ground water levels change dramatically, particularly when water penetrates old ground cracks, or construction activity creates slope modification that reduces stability. © 2020 North Caucasian Institute of Mining and Metallurgy, State Technological University. All rights reserved.