Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas. - Sepideh Tavakkoli Piralilou; Hejar Shahabi; Abdollah A. Jarihani; Omid Ghorbanzadeh; Thomas Blaschke; Khalil Gholamnia; Sansar Raj Meena; Jagannath Aryal (Remote. Sens., 2019)

A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia. - Hejar Shahabi; Abdollah A. Jarihani; Sepideh Tavakkoli Piralilou; David Chittleborough; Mohammadtaghi Avand; Omid Ghorbanzadeh (Sensors, 2019)

Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery. - Hejar Shahabi; Maryam Rahimzad; Sepideh Tavakkoli Piralilou; Omid Ghorbanzadeh; Saeid Homayouni; Thomas Blaschke; Samsung Lim; Pedram Ghamisi (Remote. Sens., 2021)

Landslide Mapping Using Two Main Deep-Learning Convolution Neural Network Streams Combined by the Dempster-Shafer Model. - Omid Ghorbanzadeh; Sansar Raj Meena; Hejar Shahabi Sorman Abadi; Sepideh Tavakkoli Piralilou; Zhiyong Lv; Thomas Blaschke (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions. - Sepideh Tavakkoli Piralilou; Golzar Einali; Omid Ghorbanzadeh; Thimmaiah Gudiyangada Nachappa; Khalil Gholamnia; Thomas Blaschke; Pedram Ghamisi (Remote. Sens., 2022)

Contrastive Self-Supervised Learning for Globally Distributed Landslide Detection. - Omid Ghorbanzadeh; Hejar Shahabi; Sepideh Tavakkoli Piralilou; Alessandro Crivellari; Laura Elena Cue La Rosa; Clement Atzberger; Jonathan Li 001; Pedram Ghamisi (IEEE Access, 2024)