Remote Sensing & GIS Expert
Geomatics Engineer
& Research Scientist
8+ years transforming satellite data into actionable insights for water management, crop monitoring, and environmental assessment. Leading projects with FAO, IFAD, and UNESCO across East Africa and Sudan.
Capabilities
Technical Capabilities
A full-stack geospatial skill set covering satellite analysis, machine learning, field surveying, and hydrological modeling.
GIS & Remote Sensing
Advanced satellite imagery analysis across optical and radar platforms for land use, agriculture, and environmental monitoring.
Programming & ML/AI
End-to-end machine learning pipelines for geospatial classification, yield forecasting, and deep learning model development.
Field Surveying
High-precision ground-truth data collection using professional-grade surveying instruments and mobile data tools.
Water Resources
Hydrological analysis, irrigation scheme monitoring, flood risk assessment, and water productivity optimization.
Skill Profile
Domain Expertise
Eight years of applied field and research work, across six core geospatial competency domains.
Research
Master's Thesis
The Use of Remote Sensing for Monitoring Agricultural Products in the Gezira Irrigation Scheme, Sudan
This study investigates remote sensing and GIS techniques for monitoring agricultural water productivity in the Gezira Irrigation Scheme — the world's largest contiguous irrigation project (8.4 M ha, central Sudan). SVM and OBIA were applied to multi-temporal Sentinel-2 imagery for crop classification and wheat yield estimation. Integration of FAO WaPOR satellite products improved accuracy assessment by 15%, identifying spatial patterns of water use inefficiency across three growing seasons. Open-source QGIS plugins were released as reproducible tools.
Ibrahim, O. O. A. (2024). The use of remote sensing for monitoring agricultural products in the Gezira Irrigation Scheme, Sudan [Master's thesis, Karadeniz Technical University]. YÖK Ulusal Tez Merkezi. No: 898245.
Open Source
GitHub Projects
Public tools and research code released to the geospatial community — QGIS plugins, deep learning pipelines, and interactive dashboards.
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MapLayout Pro
Chrome extension that turns your browser into a cartographic layout studio — auto-generates north arrow, scale bar, legend & inset maps. Export PDF / PNG 600 DPI / SVG.
wapor-water-productivity
QGIS plugin for FAO WaPOR water productivity analysis and reporting
GeoAccuRate
QGIS plugin implementing Olofsson accuracy assessment methodology for land-cover maps
GCN-Crop-Classification
Graph Convolutional Network for multi-class crop type mapping — 99.9% classification accuracy
Merowe-Dam-Water-Quality
Sentinel-2 based water quality monitoring for Merowe Dam, Sudan
Sudan-Flood-Disaster-Management
GIS-based flood disaster risk mapping and management framework for Sudan
gezira-lens
Interactive geospatial dashboard for monitoring the Gezira Irrigation Scheme
Field Work
Project Locations
A live 3D globe showing all field sites — with real-time Sentinel-2 and Landsat-9 orbital positions updated every 15 seconds.
Credentials
Recent Certifications
Advanced Computer Vision with TensorFlow
DeepLearning.AI
2024
AI Agents and Agentic AI with Python
DeepLearning.AI
2024
Python for WaPOR Geospatial Analyses
FAO / IHE Delft
2024
Remote Sensing Image Acquisition, Analysis and Applications
UNSW Sydney & IEEE
2023