Satellite Imagery

An image library - The potential of imagery in (quantitative) social sciences

We present a general framework to understand imagery data, and illustrated it with a (non-comprehensive) review of applications in each category.

Sensing global patterns and trajectories of socio-economic inequality

This project aims to measure and analyse the evolution of spatial inequality across the world using remote sensing.

How Do Local Labor Markets Looks From Above? An Automated Satellite Imagery Approach

Administrative areas do not accurately reflect the contemporary spatial manifestation of labour market linkages. Local labour market areas (LLMAs) have been shown to provide a better representation of geographic labour market activity. Traditionally LLMAs are delineated based on commuting flow data. However, commuting data are expensive to collect, are sporadically collected in developed countries and rarely available in less developed countries. Yet, recent advances in computing capacity and increased availability of satellite imagery offers a unique opportunity to generate LLMAs in poor environment context in a cheap, frequent and automated way. This papers aims to develop an automated satellite-based approach to define LLMAs.

Using satellite imagery to measure the evolution of cities

The project aims to develop and employ analytical approaches to measure the evolution of cities using machine learning and satellite imagery.