Results 141 to 150 of about 3,126 (205)

Landslide data sample augmentation and landslide susceptibility analysis in Nyingchi City based on the MCMC model. [PDF]

Sci Rep
Liu L, Wang P, Su L, Li F.
europepmc   +1 more source

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 assessment using lightweight dense residual network with emphasis on deep spatial features. [PDF]

Sci Rep
Xu S, Wang Z, Liu J, Ma X, Zhou T, Tang Q.   +5 more
europepmc   +1 more source

A combined analysis of frequency ratio and analytical hierarchy process for landslide susceptibility assessment in Tenta, South Wollo, Ethiopia. [PDF]

Sci Rep
Ali A, Teku D, Sisay T, Mihret B.
europepmc   +1 more source

The TOPSIS method: Figuring the landslide susceptibility using Excel and GIS. [PDF]

MethodsX
Barman J, Biswas B, Ali SS, Zhran M.
europepmc   +1 more source

Spatial datasets for benchmarking machine learning-based landslide susceptibility models. [PDF]

Data Brief
Samodra G, Malawani MN, Suhendro I, Mardiatno D.   +3 more
europepmc   +1 more source

Landslide susceptibility assessment in Tongguan District Anhui China using information value and certainty factor models. [PDF]

Sci Rep
Ding D, Wu Y, Wu T, Gong C.
europepmc   +1 more source

Publisher Correction: Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework. [PDF]

Sci Rep
Halder K, Srivastava AK, Ghosh A, Das S, Banerjee S, Pal SC, Chatterjee U, Bisai D, Ewert F, Gaiser T.   +9 more
europepmc   +1 more source

Quantifying Root Cohesion Spatial Heterogeneity Using Remote Sensing for Improved Landslide Susceptibility Modeling: A Case Study of Caijiachuan Landslides. [PDF]

Sensors (Basel)
Miao Z, Xiong Y, Cheng Z, Wu B, Wang W, Peng Z.   +5 more
europepmc   +1 more source

A new framework for landslide susceptibility mapping in contiguous impoverished areas using machine learning and catastrophe theory. [PDF]

Sci Rep
Zhou W, Zhou Y, Liang S, Zhang C, Dai H, Sun X.   +5 more
europepmc   +1 more source