Search Results - "Gholamnia, Khalil"

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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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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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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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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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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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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Scenario-Based Approach in Urban Development Modeling (Case Study Sari City) by Hassan Mahmoudzadeh, Khalil Gholamnia, Saidmohamad Mousavi

“…The uncontrolled development of the city as a kind of risk arises. Drastic changes in land use around and inside the city limits of good land degradation and…”
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