Dericks Praise Shukla

Abstract The Kotrupi landslide area has remained active since the 1970s, with a major landslide occurring on 13th August 2017. Since then, the site has experienced repeated reactivations. This study integrates UAV mapping; satellite image analysis; field investigations; and numerical simulation, to evaluate the landslide reactivation and slope stability.

Abstract Landslide susceptibility map (LSM) plays an important role in providing the knowledge of slopes prone to future landslides. However, the applicability of LSM is often hindered due to high cost of data collection especially in mountainous region such as Himalayas. Therefore, this study proposes transfer learning approach (TL) to improve the performance of LSM by transferring the information from the data rich region (source) to data scare region (target).

CONFLICT OF INTEREST STATEMENT The authors declare that they have no known conflict of interest to disclose. The authors state that they have no known competing financial interests or personal relationships that would appear to have influenced the work presented in this study. REFERENCES , & (2015) A new band ratio technique for mapping debris-covered glaciers using landsat imagery and a digital elevation model. International Journal of Remote Sensing, 36(8), 2063–2075.