Mine landslide susceptibility assessment using IVM, ANN and SVM models considering the contribution of affecting factors. [PDF]
Luo X +7 more
europepmc +1 more source
Landslide susceptibility assessment using hybrid geospatial, frequency ratio, and AHP models in Souk Ahras province, Northeastern of Algeria. [PDF]
Rebouh N +9 more
europepmc +1 more source
Landslide Susceptibility Assessment Using Integrated Deep Learning Algorithm along the China-Nepal Highway. [PDF]
Xiao L, Zhang Y, Peng G.
europepmc +1 more source
Assessment of the spatial agreement of landslide susceptibility maps
Indirect assessment of landslide susceptibility provides planners and decision-makers with a practical and cost-effective way to zone areas susceptible to landsliding. This goal can be achieved by applying statistic models to estimate the spatial probability of slope instability within the investigated area.
Ballabio C, Blahut J, Sterlacchini S
openaire +2 more sources
Landslide susceptibility assessment using lightweight dense residual network with emphasis on deep spatial features. [PDF]
Xu S +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]
Ali A, Teku D, Sisay T, Mihret B.
europepmc +1 more source
Landslide Susceptibility Assessment Using Spatial Multi-Criteria Evaluation Model in Rwanda. [PDF]
Nsengiyumva JB +4 more
europepmc +1 more source
Landslide susceptibility assessment in Tongguan District Anhui China using information value and certainty factor models. [PDF]
Ding D, Wu Y, Wu T, Gong C.
europepmc +1 more source
Landslide susceptibility assessment using deep learning considering unbalanced samples distribution. [PDF]
Mwakapesa DS, Lan X, Mao Y.
europepmc +1 more source
Assessment of deep catastrophic landslides susceptibility to earthquake
TAKEZAWA, Nagazumi +6 more
openaire +2 more sources

