A
Amar Deep Regmi
Researcher at Chinese Academy of Sciences
Publications - 30
Citations - 1574
Amar Deep Regmi is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Landslide & Loess. The author has an hindex of 13, co-authored 29 publications receiving 1187 citations. Previous affiliations of Amar Deep Regmi include Shinshu University & Tribhuvan University.
Papers
More filters
Journal ArticleDOI
Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya
Krishna Chandra Devkota,Amar Deep Regmi,Hamid Reza Pourghasemi,Kohki Yoshida,Biswajeet Pradhan,In Chang Ryu,Megh Raj Dhital,Omar F. Althuwaynee +7 more
TL;DR: In this article, a landslide susceptibility assessment of Mugling-Narayanghat road and its surrounding area is made using bivariate (certainty factor and index of entropy) and multivariate (logistic regression) models.
Journal ArticleDOI
Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya
Amar Deep Regmi,Krishna Chandra Devkota,Kohki Yoshida,Biswajeet Pradhan,Hamid Reza Pourghasemi,Takashi Kumamoto,Aykut Akgün +6 more
TL;DR: In this article, the authors investigated the application of the frequency ratio (FR), statistical index (SI), and weights-of-evidence (WoE) approaches for landslide susceptibility mapping of this road section and its surrounding area.
Journal ArticleDOI
Effect of rock weathering, clay mineralogy, and geological structures in the formation of large landslide, a case study from Dumre Besei landslide, Lesser Himalaya Nepal
TL;DR: In this paper, the authors used various techniques, including X-ray diffraction, Xray fluorescence, and thin-section analysis, and found that most of the clay minerals were derived from weathering of rock.
Journal ArticleDOI
Landslide Susceptibility Mapping along Bhalubang –Shiwapur Area of Mid-Western Nepal Using Frequency Ratio and Conditional Probability Models
TL;DR: In this paper, landslide susceptibility mapping (LSM) of this region was carried out using frequency ratio (FR) and weights-of-evidence (W of E) models.
Journal ArticleDOI
Landslide susceptibility assessment of the region affected by the 25 April 2015 Gorkha earthquake of Nepal
TL;DR: In this article, the authors developed a landslide susceptibility map of the affected region based on the coseismic landslides collected from remotely sensed data and fieldwork, using bivariate statistical model with different landslide causative factors.