Unlocking the secrets of satellite data..

Geospatial Earth Observation (GEO) is a research group located at the National Center for Remote Sensing - CNRS Lebanon. GEO harnessess the power of artificial intelligence to unlock the potential of satellite data by focusing on AI-assisted mapping spanning various applications, including geospatial Earth observation, urban analytics, transportation, and features extraction from aerial imagery. We develop tools integrating deep learning techniques to automate the process of urban features extraction and collect crowd-sourcing data from various sources. Evidence gained from our models and data analysis allows for a robust humanitarian response and provides policymakers and key stakeholders with insights to design tailored regulations and safety countermeasures for urban social good.
GEO group provides a unique opportunity for geospatial training in a professional research environment in Lebanon. We have hosted more than 40 students at both undergraduate and graduate levels since 2016.

Research

GEO group has available openings for summer internship and graduate thesis/project. Interested candidates should send resume and cover letter using Contact widget below.
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Crop Monitoring using Earth Observation
Lebanese winter wheat monitoring using Aerial Images
Crop Monitoring using Earth Observation
Qaraaoun Reservoir
Qaraaoun Reservoir Volume Estimation from Aerial Images
Qaraaoun Reservoir
Silo Bins
Silo Bins detection from Aerial Images
Silo Bins
XAI for Earth Observation
Explainable Artificial Intelligence models for Aerial Images
XAI for Earth Observation
Urban Monitoring through Earth Observation
The first comprehensive Lebanese Building Footprints autonomously generated using Deep Learning.
Urban Monitoring through Earth Observation
Solar Potential Map for Lebanon
Solar Potential Assessment using Multi-Class Buildings Segmentation from Aerial Images
Solar Potential Map for Lebanon
LOCR
Lebanese Observatory for Crashes on Road
LOCR

Dataset

Beirut Buildings Type Classification
The dataset is a collection of RGB images of Beirut buildings taken from satellite images. Each building is annotated as residential or not. Dataset can be accessed here.
Beirut Buildings Type Classification

Meet the Team

Members

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Ali J. GHANDOUR

Associate Researcher

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Hassan Nasrallah

Computer Vision Engineer

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Hussein Allaw

Engineering Student

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Mohamad Dimassi

Software Engineer

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Mohamad Zaraket

Graduate Student

Collaborators

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Abdul Karim Gizzini

Post Doctoral Researcher

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Ghaleb Faour

Director

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Jamal Haydar

Associate Professor Engineer

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Mustafa Shukor

Research Engineer

Alumni

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Adam Issa

Senior Product Engineer

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Ali Hariri

Phd Student

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Houssam Krayem

Mobile Developer

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Huda Hammoud

Data Engineering Consultant

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Jad Chahine

Senior Full Stack Software Engineer

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Kawthar Salami

Software Developer

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Mohamad Abdallah

Security Expert

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Nadia Mouawad

Domain Manager

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