Search Results - "Tavakkoli Piralilou, Sepideh"

Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas by Tavakkoli Piralilou, Sepideh, Shahabi, Hejar, Jarihani, Ben, Ghorbanzadeh, Omid, Blaschke, Thomas, Gholamnia, Khalil, Meena, Sansar, Aryal, Jagannath

“…Landslides represent a severe hazard in many areas of the world. Accurate landslide maps are needed to document the occurrence and extent of landslides and to…”
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A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia by Shahabi, Hejar, Jarihani, Ben, Tavakkoli Piralilou, Sepideh, Chittleborough, David, Avand, Mohammadtaghi, Ghorbanzadeh, Omid

“…Gully erosion is a dominant source of sediment and particulates to the Great Barrier Reef (GBR) World Heritage area. We selected the Bowen catchment, a…”
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A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions by Tavakkoli Piralilou, Sepideh, Einali, Golzar, Ghorbanzadeh, Omid, Nachappa, Thimmaiah Gudiyangada, Gholamnia, Khalil, Blaschke, Thomas, Ghamisi, Pedram

“…The effects of the spatial resolution of remote sensing (RS) data on wildfire susceptibility prediction are not fully understood. In this study, we evaluate…”
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Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery by Shahabi, Hejar, Rahimzad, Maryam, Tavakkoli Piralilou, Sepideh, Ghorbanzadeh, Omid, Homayouni, Saied, Blaschke, Thomas, Lim, Samsung, Ghamisi, Pedram

“…This paper proposes a new approach based on an unsupervised deep learning (DL) model for landslide detection. Recently, supervised DL models using…”
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Comparison of Earthquake-Triggered Landslide Inventories: A Case Study of the 2015 Gorkha Earthquake, Nepal by Meena, Sansar Raj, Tavakkoli Piralilou, Sepideh

“…Despite landslide inventories being compiled throughout the world every year at different scales, limited efforts have been made to critically compare them…”
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Landslide Susceptibility Mapping for Austria Using Geons and Optimization with the Dempster-Shafer Theory by Gudiyangada Nachappa, Thimmaiah, Tavakkoli Piralilou, Sepideh, Ghorbanzadeh, Omid, Shahabi, Hejar, Blaschke, Thomas

“…Landslide susceptibility mapping (LSM) can serve as a basis for analyzing and assessing the degree of landslide susceptibility in a region. This study uses the…”
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A Hybrid Spatial Multi-Criteria Evaluation Method for Mapping Landslide Susceptible Areas in Kullu Valley, Himalayas by Meena, Sansar, Mishra, Brijendra, Tavakkoli Piralilou, Sepideh

“…In this paper we report our results from analysing a hybrid spatial multi-criteria evaluation (SMCE) method for generating landslide susceptibility mapping…”
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Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory by Gudiyangada Nachappa, Thimmaiah, Tavakkoli Piralilou, Sepideh, Gholamnia, Khalil, Ghorbanzadeh, Omid, Rahmati, Omid, Blaschke, Thomas

“…[Display omitted] •Application of knowledge-based spatial decision support system for flood susceptibility mapping.•Performance of data-base machine learning…”
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Landslide Mapping Using Two Main Deep-Learning Convolution Neural Network Streams Combined by the Dempster-Shafer Model by Ghorbanzadeh, Omid, Meena, Sansar Raj, Shahabi Sorman Abadi, Hejar, Tavakkoli Piralilou, Sepideh, Zhiyong, Lv, Blaschke, Thomas

“…Beyond the direct hazards of earthquakes, the deposited mass of earthquake-induced landslide (EQIL) in the riverbeds causes the river to thrust upward. The…”
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Automatic Landslide Detection Using Bi-Temporal Sentinel 2 Imagery by Tavakkoli Piralilou, Sepideh, Shahabi, Hejar, Pazur, Robert

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Contrastive Self-Supervised Learning for Globally Distributed Landslide Detection by Ghorbanzadeh, Omid, Shahabi, Hejar, Piralilou, Sepideh Tavakkoli, Crivellari, Alessandro, Rosa, Laura Elena Cue la, Atzberger, Clement, Li, Jonathan, Ghamisi, Pedram

“…The Remote Sensing (RS) field continuously grapples with the challenge of transforming satellite data into actionable information. This ongoing issue results…”
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