Search Results - "Ghorbanzadeh, Omid"

A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan) by Ghorbanzadeh, Omid, Crivellari, Alessandro, Ghamisi, Pedram, Shahabi, Hejar, Blaschke, Thomas

“…Earthquakes and heavy rainfalls are the two leading causes of landslides around the world. Since they often occur across large areas, landslide detection…”
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Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection by Ghorbanzadeh, Omid, Blaschke, Thomas, Gholamnia, Khalil, Meena, Sansar, Tiede, Dirk, Aryal, Jagannath

“…There is a growing demand for detailed and accurate landslide maps and inventories around the globe, but particularly in hazard-prone regions such as the…”
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UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks by Ghorbanzadeh, Omid, Meena, Sansar Raj, Blaschke, Thomas, Aryal, Jagannath

“…Slope failures occur when parts of a slope collapse abruptly under the influence of gravity, often triggered by a rainfall event or earthquake. The resulting…”
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Landslide detection using deep learning and object-based image analysis by Ghorbanzadeh, Omid, Shahabi, Hejar, Crivellari, Alessandro, Homayouni, Saeid, Blaschke, Thomas, Ghamisi, Pedram

“…Recent landslide detection studies have focused on pixel-based deep learning (DL) approaches. In contrast, intuitive annotation of landslides from satellite…”
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Forest Fire Susceptibility and Risk Mapping Using Social/Infrastructural Vulnerability and Environmental Variables by Ghorbanzadeh, Omid, Blaschke, Thomas, Gholamnia, Khalil, Aryal, Jagannath

“…Forests fires in northern Iran have always been common, but the number of forest fires has been growing over the last decade. It is believed, but not proven,…”
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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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Multi-Hazard Exposure Mapping Using Machine Learning for the State of Salzburg, Austria by Nachappa, Thimmaiah, Ghorbanzadeh, Omid, Gholamnia, Khalil, Blaschke, Thomas

“…We live in a sphere that has unpredictable and multifaceted landscapes that make the risk arising from several incidences that are omnipresent. Floods and…”
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A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping by Ghorbanzadeh, Omid, Blaschke, Thomas, Aryal, Jagannath, Gholaminia, Khalil

“…In this study, we evaluated the predictive performance of an adaptive neuro-fuzzy inference system (ANFIS) with six different membership functions (MFs). Using…”
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A Comparative Study of Statistics-Based Landslide Susceptibility Models: A Case Study of the Region Affected by the Gorkha Earthquake in Nepal by Meena, Sansar, Ghorbanzadeh, Omid, Blaschke, Thomas

“…As a result of the Gorkha earthquake in 2015, about 9000 people lost their lives and many more were injured. Most of these losses were caused by…”
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The application of ResU-net and OBIA for landslide detection from multi-temporal Sentinel-2 images by Ghorbanzadeh, Omid, Gholamnia, Khalil, Ghamisi, Pedram

“…Landslide detection is a hot topic in the remote sensing community, particularly with the current rapid growth in volume (and variety) of Earth observation…”
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Multi-criteria risk evaluation by integrating an analytical network process approach into GIS-based sensitivity and uncertainty analyses by Ghorbanzadeh, Omid, Feizizadeh, Bakhtiar, Blaschke, Thomas

“…Geographic information system (GIS)-based multi-criteria decision analysis (MCDA) is commonly used to solve a range of complex spatial problems. We have…”
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Application of the AHP-BWM Model for Evaluating Driver Behavior Factors Related to Road Safety: A Case Study for Budapest by Moslem, Sarbast, Farooq, Danish, Ghorbanzadeh, Omid, Blaschke, Thomas

“…The use of driver behavior has been considered a complex way to solve road safety complications. Car drivers are usually involved in various risky driving…”
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Comparisons of Diverse Machine Learning Approaches for Wildfire Susceptibility Mapping by Gholamnia, Khalil, Gudiyangada Nachappa, Thimmaiah, Ghorbanzadeh, Omid, Blaschke, Thomas

“…Climate change has increased the probability of the occurrence of catastrophes like wildfires, floods, and storms across the globe in recent years. Weather…”
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Rapid mapping of landslides in the Western Ghats (India) triggered by 2018 extreme monsoon rainfall using a deep learning approach by Meena, Sansar Raj, Ghorbanzadeh, Omid, van Westen, Cees J., Nachappa, Thimmaiah Gudiyangada, Blaschke, Thomas, Singh, Ramesh P., Sarkar, Raju

“…Rainfall-induced landslide inventories can be compiled using remote sensing and topographical data, gathered using either traditional or semi-automatic…”
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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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Mapping Land Cover and Tree Canopy Cover in Zagros Forests of Iran: Application of Sentinel-2, Google Earth, and Field Data by Eskandari, Saeedeh, Reza Jaafari, Mohammad, Oliva, Patricia, Ghorbanzadeh, Omid, Blaschke, Thomas

“…The Zagros forests in Western Iran are valuable ecosystems that have been seriously damaged by human interference (harvesting the wood and forest sub-products,…”
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Flood susceptibility mapping using an improved analytic network process with statistical models by Yariyan, Peyman, Avand, Mohammadtaghi, Abbaspour, Rahim Ali, Torabi Haghighi, Ali, Costache, Romulus, Ghorbanzadeh, Omid, Janizadeh, Saeid, Blaschke, Thomas

“…Flooding is a natural disaster that causes considerable damage to different sectors and severely affects economic and social activities. The city of Saqqez in…”
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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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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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