Prof. Ismail Elkhrachy

 Professor

Photogrammetry,Remote Sensing, and GIS 

  • Research Interest: 3D Models with Drone Photogrammetry, Feature Extraction with Satellite Image Analysis, Flood Modelling, and Advanced Machine Learning.

0175428888
iaelkhrachy@nu.edu.sa

المؤهلات العلمية

الخبرات

To help students to understand theoretic and practice all surveying and remote sensing knowledge which used in civil engineering works (leveling, Setting out, AsBuilt, and Construction Surveying). linking remote sensing and Geographic information system for civil engineering applications. Also, knowledge to produce maps using new instruments and tools with different commercial programs. Machine learning algorithms for image analysis and modeling.

التخصصات والمهارات

المهام الوظيفية

الدورات التدربية

الدورات التدربية

الأبحاث العلمية

Journal Papers
Karmakar, Jay, et al. "Analyzing spatio-temporal variability of aquatic productive components in Northern Bay of Bengal using advanced machine learning models." Ocean & Coastal Management 251 (2024): 107074
 
Hitouri, Sliman, et al. "Gully erosion mapping susceptibility in a Mediterranean environment: A hybrid decision-making model." International Soil and Water Conservation Research 12.2 (2024): 279-297.
Ahmed, Ishita Afreen, Roquia Salam, Mohd Waseem Naikoo, Atiqur Rahman, Bushra Praveen, Pham Ngoc Hoai, Quoc Bao Pham, Duong Tran Anh, Doan Quang Tri, and Ismail Elkhrachy. "Evaluating the variability in long-term rainfall over India with advanced statistical techniques." Acta Geophysica (2022): 1-18.
Ismail Elkhrachy.2022, Flash Flood Water Depth Estimation Using SAR Images, Digital Elevation Models, and Machine Learning Algorithms. Remote Sens. 2022, 14, 440
Ismail Elkhrachy. 2021, Accuracy assessment of low-cost Unmanned Aerial Vehicle (UAV) photogrammetry. Alexandria Engineering Journal 60 (6), 5579-5590
I Elkhrachy, QB Pham, R Costache, M Mohajane, KU Rahman, H Shahabi, ..2021.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
R Costache, A Arabameri, I Elkhrachy, O Ghorbanzadeh, QB Pham.2021
Detection of areas prone to flood risk using state-of-the-art machine learning models Geomatics, Natural Hazards and Risk 12 (1), 1488-1507
S Sahoo, S Chakraborty, QB Pham, E Sharifi, SS Sammen, M Vojtek , I. Elkhrachy. 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 Acta Geophysica, 1-24
R Costache, R ?încu, I Elkhrachy, QB Pham, MC Popa, DC Diaconu, ...
2021. New neural fuzzy-based machine learning ensemble for enhancing the prediction accuracy of flood susceptibility mapping Hydrological Sciences Journal 65 (16), 2816-2837
I Elkhrachy,2019.  Modeling and visualization of three dimensional objects using low-cost terrestrial photogrammetry International Journal of Architectural Heritage
I Elkhrachy, 2018.Vertical accuracy assessment for SRTM and ASTER Digital Elevation Models: A case study of Najran city, Saudi Arabia
Ain Shams Engineering Journal 9 (4), 1807-1817
I Elkhrachy,2018. Assessment and management flash flood in Najran Wady using GIS and remote sensing Journal of the Indian Society of Remote Sensing 46 (2), 297-308
Ismail Elkhrachy.2017. "Feature Extraction of Laser Scan Data Based on Geometric Properties. ",Springer-Journal of the Indian Society of Remote Sensing, Springer-Journal of the Indian Society of Remote Sensing, 45 (1), 1-10, 2017. DOI10.1007/s12524-016-0569-2
I Elkhrachy.2015, Flash flood hazard mapping using satellite images and GIS tools: a case study of Najran City, Kingdom of Saudi Arabia (KSA)
The Egyptian Journal of Remote Sensing and Space Science 18 (2), 261-278
Ismail Elkhrachy,2015. "Land Use Change Detection Using Satellite Images for Najran City, Kingdom of Saudi Arabia (KSA)". The World Cadastre Summit. Istanbul, Turkey. April, 20-25,2015.
Ismail Elkhrachy, Tarek A.E. El-Damaty,2014." Geometric Correction for Very High-Resolution Satellite Images. " Civil Engineering Research Magazine (CERM), vol. 36 no. 4, 2014. Pages 70-84
Ismail Elkhrachy,2015. "Land Use Change Detection Using Satellite Images for Najran City, Kingdom of Saudi Arabia (KSA)". The World Cadastre Summit. Istanbul, Turkey. April, 20-25,2015.
Ismail Elkhrachy, Tarek A.E. El-Damaty,2014." Geometric Correction for Very High-Resolution Satellite Images. " Civil Engineering Research Magazine (CERM), vol. 36 no. 4, 2014. Pages 70-84
Conference Proceedings and Posters
Ismail Elkhrachy,2022. " Solid Waste Assessment and Management Using Remote Sensing Data and GIS Tools: A Case Study of Najran City, KSA". ICSDI 2022 INTERNATIONAL CONFERENCE ON SUSTAINABILITY: DEVELOPMENTS AND INNOVATIONS
February 19 -22, 2022 – Prince Sultan University Riyadh, KSA
Ismail Elkhrachy,2015. "Land Use Change Detection Using Satellite Images for Najran City, Kingdom of Saudi Arabia (KSA)". The World Cadastre Summit. Istanbul, Turkey. April, 20-25,2015.
Elkhrachy, I. and Niemeier, W. (2006): Fitting sphere targets and their impact on data registration accuracy for Terrestrial laser scanner. Fifth International symposium ”Turkish-German Joint Geodetic Days” . March 29-31, Berlin, Germany
Elkhrachy, I. and Niemeier, W. (2006): Stochastic Assessment of Terrestrial laser scanner measurements to Improve Data Registration. ASPRS Annual Conference Reno, Nevada, USA, May 1-5, 2006
Elkhrachy, I. and Niemeier, W. (2006): Optimization and Strength Aspects for the Georeferencing Data with Terrestrial laser scanner. 3rd IAG Symposium on Geodesy for Geotechnical Structural Engineering and the 12th FIG Deformation Measurement Symposium
Niemeier, W., Tengen, D. und Elkhrachy, I. (2006): Automatische Extraktion von Geometrieinformationen aus Punktwolken, 72. DVW-Seminar ”Terrestrisches Laserscanning (TLS2006)”.

 

هندسة المساحة ونظم المعلومات الجغرافية والاستشعار عن بعد

 

الساعات المكتبية

الوصف

  8-9 9-10 10-11 11-12 12-1 1-2
الأحد
Sunday		            
الاثنين
Monday		            
الثلاثاء
Tuesday		            
الأربعاء
Wednesday		            
الخميس
Thursday