Mohamed Ibrahim
PhD
German Aerospace Center (DLR)
Technical University of Munich (TUM)
Machine Learning for the Fusion of Remote Sensing and Tweets Data for Green Space Analysis

There is increasing evidence that people with higher access to urban green spaces have better mental health and well-being. This project aims to examine the impact of urban green spaces on mental health, and what features play the biggest role. The combination of airborne or space-borne remote sensing images and geo-tagged social media data can enhance the measurement of the quantity and quality of urban green spaces. Remote sensing imagery can allow us to identify and classify green spaces. Social media data can represent human activity near the identified green spaces. We hope to gain insight into qualitative characteristics of urban green spaces that could be useful for city planners and has a positive impact on citizens' mental health.

Track:
Academic Track
PhD Duration:
October 1st, 2019 - September 30th, 2023
First Exchange:
September 1st, 2020 - December 31st, 2020
ELLIS Edge Newsletter
Join the 6,000+ people who get the monthly newsletter filled with the latest news, jobs, events and insights from the ELLIS Network.