| Flash flood hazard mapping using satellite images and GIS tools: a case study of Najran City, Kingdom of Saudi Arabia (KSA) I Elkhrachy The Egyptian Journal of Remote Sensing and Space Science 18 (2), 261-278, 2015 | 360 | 2015 |
| Vertical accuracy assessment for SRTM and ASTER Digital Elevation Models: A case study of Najran city, Saudi Arabia I Elkhrachy Ain Shams Engineering Journal 9 (4), 1807-1817, 2018 | 217 | 2018 |
| Accuracy assessment of low-cost unmanned aerial vehicle (UAV) photogrammetry I Elkhrachy Alexandria Engineering Journal 60 (6), 5579-5590, 2021 | 114 | 2021 |
| New neural fuzzy-based machine learning ensemble for enhancing the prediction accuracy of flood susceptibility mapping R Costache, R Țîncu, I Elkhrachy, QB Pham, MC Popa, DC Diaconu, ... Hydrological Sciences Journal 65 (16), 2816-2837, 2020 | 56 | 2020 |
| Detection of areas prone to flood risk using state-of-the-art machine learning models R Costache, A Arabameri, I Elkhrachy, O Ghorbanzadeh, QB Pham Geomatics, Natural Hazards and Risk 12 (1), 1488-1507, 2021 | 35 | 2021 |
| Recognition of district-wise groundwater stress zones using the GLDAS-2 catchment land surface model during lean season in the Indian state of West Bengal S Sahoo, S Chakraborty, QB Pham, E Sharifi, SS Sammen, M Vojtek, ... Acta Geophysica, 1-24, 2021 | 29 | 2021 |
| Flash flood water depth estimation using SAR images, digital elevation models, and machine learning algorithms I Elkhrachy Remote Sensing 14 (3), 440, 2022 | 28 | 2022 |
| Assessment and management flash flood in Najran Wady using GIS and remote sensing I Elkhrachy Journal of the Indian Society of Remote Sensing 46, 297-308, 2018 | 25 | 2018 |
| Sentinel‐1 remote sensing data and Hydrologic Engineering Centres River Analysis System two‐dimensional integration for flash flood detection and modelling in New Cairo City, Egypt I Elkhrachy, QB Pham, R Costache, M Mohajane, KU Rahman, H Shahabi, ... Journal of Flood Risk Management, e12692, 2021 | 24 | 2021 |
| Novel evolutionary-optimized neural network for predicting landslide susceptibility RM Adnan Ikram, I Khan, H Moayedi, A Ahmadi Dehrashid, I Elkhrachy, ... Environment, Development and Sustainability, 1-33, 2023 | 22 | 2023 |
| Towards an automatic registration for terrestrial laser scanner data IAEHM Khrachy Braunschweig, Techn. Univ., Diss., 2008, 2008 | 22 | 2008 |
| Stochastic assessment of terrestrial laser scanner I Elkhrachy, W Niemeier Proceedings of the ASPRS Annual Conference, Reno, Nevada, USA, 1-5, 2006 | 21 | 2006 |
| Evaluating the variability in long-term rainfall over India with advanced statistical techniques IA Ahmed, R Salam, MW Naikoo, A Rahman, B Praveen, PN Hoai, ... Acta Geophysica 70 (2), 801-818, 2022 | 18 | 2022 |
| Flash flood hazard mapping using satellite images and GIS tools: a case study of Najran City, Kingdom of Saudi Arabia (KSA). Egypt J Remote Sens Space Sci 18 (2): 261–278 I Elkhrachy | 17 | 2015 |
| 3D structure from 2D dimensional images using structure from motion algorithms I Elkhrachy Sustainability 14 (9), 5399, 2022 | 13 | 2022 |
| Feature extraction of laser scan data based on geometric properties I Elkhrachy Journal of the Indian Society of Remote Sensing 45, 1-10, 2017 | 13 | 2017 |
| Modeling and visualization of three dimensional objects using low-cost terrestrial photogrammetry I Elkhrachy International Journal of Architectural Heritage, 2019 | 12 | 2019 |
| Flash flood hazard mapping using satellite images and GIS tools: a case study of Najran City, Kingdom of Saudi Arabia (KSA). Egypt J Remote Sens Space Sci 18: 261–278 I Elkhrachy | 12 | 2015 |
| Quantifying the impacts of climate and land cover changes on the hydrological regime of a complex dam catchment area MU Masood, S Haider, M Rashid, MS Aldlemy, CB Pande, B Đurin, ... Sustainability 15 (21), 15223, 2023 | 11 | 2023 |
| Optimization and Strength Aspects for the Georeferencing Data with Terrestrial laser scanner I Elkhrachy, W Niemeier 3rd IAG Symposium on Geodesy for Geotechnical Structural Engineering and the …, 2006 | 11 | 2006 |
Duong Tran AnhInstitute for Computational Science & Artificial Intelligence, Van Lang University, Vietnam在 tum.de 的电子邮件经过验证
