A novel method using explainable artificial intelligence (XAI)-based Shapley Additive Explanations for spatial landslide prediction using Time-Series SAR dataset

•Explainable landslide prediction was used for first time using time-series RS data.•SHAP was used to understand the black box of decisions that ML-based models make.•36 features derived from ALOS-PALSAR, ALOS-2 (SAR), Landsat-8, topo. maps and DEM.•Models were tested on 269 landslide locations in Chukha, Bhutan as a test site.•SHAP plots were developed to assess predictor interactions over RF and SVM.•XAI could measure the impact, interaction and correlation of factors within a model.