Results 191 to 200 of about 18,543 (287)

Convolutional neural network-based deep learning for landslide susceptibility mapping in the Bakhtegan watershed. [PDF]

Sci Rep
Feng L, Zhang M, Mao Y, Liu H, Yang C, Dong Y, Nanehkaran YA.   +6 more
europepmc   +1 more source

Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment. [PDF]

Int J Environ Res Public Health, 2020
Nhu VH, Mohammadi A, Shahabi H, Ahmad BB, Al-Ansari N, Shirzadi A, Shirzadi A, Clague JJ, Jaafari A, Chen W, Nguyen H.   +10 more
europepmc   +1 more source

Landslide susceptibility mapping using an entropy index-based negative sample selection strategy: A case study of Luolong county. [PDF]

PLoS One
Yuzhong K, Hua W, Chong X, Jingjing S, Kangcheng Z, Chenguang Z, Jianwei Z, Tong X, Taijin S, Zelin Z, Hui K.   +10 more
europepmc   +1 more source

"Ensembled transfer learning approach for error reduction in landslide susceptibility mapping of the data scare region". [PDF]

Sci Rep
Singh A, Dhiman N, Niraj KC, Shukla DP.
europepmc   +1 more source

Landslide Hazard Mapping: GIS Based Susceptibility Assessment of Leoutikhola Watershed, Dhankuta, Nepal

, 2019
Tika Ram Linkha, Dil Kumar, Furbe Lama
openalex   +2 more sources

Landslide Susceptibility Mapping Optimization for Improved Risk Assessment Using Multicollinearity Analysis and Machine Learning Technique

Buddhi Raj Joshi, Netra Prakash Bhandary, Indra Prasad Acharya, Niraj KC, C. S. Bhandari   +4 more
openalex   +1 more source

Landslide Susceptibility Mapping via binomial Generalized Additive Model

, 2023
Gianvito Scaringi, Marco Loche
openalex   +1 more source

Inventory of available data elements for the San Bernardino, California region [PDF]

Elements of data sets that are available to be integrated for the San Bernardino vertical data integration project are given. Each of the data sets has specified for it the ownership, validity, accuracy and technical requirements for ...
Christenson, J., Michel, R.
core   +1 more source

Research on the influence of different sampling resolution and spatial resolution in sampling strategy on landslide susceptibility mapping results. [PDF]

Sci Rep
Yu X, Chen H.
europepmc   +1 more source

Landslide susceptibility mapping using a logistic regression approach: a case study in Colorado Springs, El Paso County, Colorado

, 2018
Lauren T. Southerland
openalex   +1 more source