Detecting Refugee Presence Using Satellite Imagery in Lebanon
MASAE conducted a pioneering study to detect and estimate the presence of Syrian refugees in Lebanon using satellite imagery and artificial intelligence. The project addressed the challenge of monitoring informal settlements in a context where many refugees live outside official camps.
Geography
Services
Domains
Regions
Why This Matters
Accurate data on refugee populations is vital for humanitarian planning and resource allocation. Traditional methods often miss informal settlements, leaving vulnerable groups underserved. Satellite-based detection offers a scalable, objective alternative.
Our Approach
Remote Sensing and AI:
Leveraged high-resolution satellite imagery and machine learning algorithms to identify and quantify informal refugee settlements.Data Science Analysis:
Processed and validated findings to ensure accuracy and reliability.Collaboration:
Worked with humanitarian partners to integrate results into operational planning.
Results and Impact
The study enabled more effective targeting of aid and support, ensuring that even those in informal settlements were accounted for in humanitarian responses.
