| Evaluation of different machine learning methods and deep-learning convolutional neural networks for landslide detection O Ghorbanzadeh, T Blaschke, K Gholamnia, SR Meena, D Tiede, J Aryal Remote Sensing 11 (2), 196, 2019 | 777 | 2019 |
| Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory TG Nachappa, ST Piralilou, K Gholamnia, O Ghorbanzadeh, O Rahmati, ... Journal of hydrology 590, 125275, 2020 | 332 | 2020 |
| Forest fire susceptibility and risk mapping using social/infrastructural vulnerability and environmental variables O Ghorbanzadeh, T Blaschke, K Gholamnia, J Aryal Fire 2 (3), 50, 2019 | 190 | 2019 |
| Landslide detection using multi-scale image segmentation and different machine learning models in the higher himalayas S Tavakkoli Piralilou, H Shahabi, B Jarihani, O Ghorbanzadeh, ... Remote Sensing 11 (21), 2575, 2019 | 168 | 2019 |
| A new GIS-based data mining technique using an adaptive neuro-fuzzy inference system (ANFIS) and k-fold cross-validation approach for land subsidence susceptibility mapping O Ghorbanzadeh, H Rostamzadeh, T Blaschke, K Gholaminia, J Aryal Natural Hazards 94, 497-517, 2018 | 131 | 2018 |
| A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping O Ghorbanzadeh, T Blaschke, J Aryal, K Gholaminia Journal of Spatial Science 65 (3), 401-418, 2020 | 127 | 2020 |
| Comparisons of diverse machine learning approaches for wildfire susceptibility mapping K Gholamnia, T Gudiyangada Nachappa, O Ghorbanzadeh, T Blaschke Symmetry 12 (4), 604, 2020 | 125 | 2020 |
| A Google Earth Engine approach for wildfire susceptibility prediction fusion with remote sensing data of different spatial resolutions S Tavakkoli Piralilou, G Einali, O Ghorbanzadeh, TG Nachappa, ... Remote sensing 14 (3), 672, 2022 | 85 | 2022 |
| Multi-hazard exposure mapping using machine learning for the State of Salzburg, Austria TG Nachappa, O Ghorbanzadeh, K Gholamnia, T Blaschke Remote Sensing 12 (17), 2757, 2020 | 75 | 2020 |
| The application of ResU-net and OBIA for landslide detection from multi-temporal sentinel-2 images O Ghorbanzadeh, K Gholamnia, P Ghamisi Big Earth Data 7 (4), 961-985, 2023 | 58 | 2023 |
| Extraction of Land Surface Temperature (LST) based on landsat satellite images and split window algorithm Study area: Mahabad Catchment B Feizizadeh, K Didehban, K Gholamnia Scientific-Research Quarterly of Geographical Data (SEPEHR) 25 (98), 171-181, 2016 | 21 | 2016 |
| Estimation land surface temperature and extract heat islands using split window algorithm and multivariate regression analysis (Case Study of Zanjan) K Valizadeh Kamran, K Gholamnia, G Eynali, M Moosavi Islamic Azad University, Marvdasht Branch 8 (30), 35-50, 2017 | 11 | 2017 |
| A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping. J Spat Sci 65 (3): 401–418 O Ghorbanzadeh, T Blaschke, J Aryal, K Gholaminia | 7 | 2020 |
| Evaluating the Impact of Recursive Feature Elimination on Machine Learning Models for Predicting Forest Fire-Prone Zones AR Barzani, P Pahlavani, O Ghorbanzadeh, K Gholamnia, P Ghamisi Fire 7 (12), 440, 2024 | 2 | 2024 |
| Integration of the FSM method and morphometric analysis for ranking sub-basins using RS and GIS techniques, case study: Ozroud basin SM Mousavi, K Gholamnia, M Mamashli, S Rustaei Journal of Ecohydrology 4 (1), 247-257, 2017 | 2 | 2017 |
| Investigating the trend of changes and snow prediction in Alborz heights of Mazandaran province in winter, using satellite image processing R Yousefizadeh, S Sehatkashani, K Gholamnia, A Maleki, G Einali journal of climate research 12 (48), 157-175, 2022 | 1 | 2022 |
| Assessing Hyrcanian forest fire vulnerability: socioeconomic and environmental perspectives E Nejatiyanpour, O Ghorbanzadeh, J Strobl, R Yousefpour, MD Kakhki, ... Journal of Forestry Research 36 (1), 35, 2025 | | 2025 |
| Modeling af future land use/land cover patterns in the Krkonose Mts. National Park using machine learning classification and CLUE-S model. K Gholamnia, L Kupkova The 10th Nordic Geographers Meeting, Copenhagen, Denmark 1 (1), 105, 2024 | | 2024 |
| Geospatial analysis of Covid-19 mortality linked to environmental risk factors in Iran-2019-2021 LR Kalankesh, K Golamnia, A Hajighasemkhani, H Soori, R Ahmadi, ... | | 2024 |
| Assessing the importance of variable selection in land subsidence susceptibility mapping ST Piralilou, G Einali, S Kiani, K Gholamnia Intercontinental Geoinformation Days 4, 188-191, 2022 | | 2022 |
Omid GhorbanzadehUniversity of Natural Resources and Life Sciences (BOKU)Adresă de e-mail confirmată pe boku.ac.at