Data-driven
Earth-minded
MindEarth is a consultancy and applied research company that combines earth observation, data science and machine learning to provide new insights into complex societal, environmental and economic problems.
MindEarth promotes innovation and business for social impact.
A python library for the analysis of for High Frequency Mobility Data to support disaster response and infrastructural change
Flood exposure and vulnerability mapping using street level image automatic acquisition and machine learning
Our projects
Our projects are international and seek to deploy advanced geo-spatial technologies to provide the best service whilst creating skills locally, and empowering communities to increase control over their livelihoods. We combine innovation, impact and participation.
Browse by type:
Urban Digital Twin model for the visualisation, navigation and exploration of multiple information layers on cities in space and time.
Mapping the relationship between urbanization and exposure to flood at a global scale between 1985 and 2015
Population estimation, destroyed buildings, and land use classification
Flood exposure and vulnerability mapping using street level image automatic acquisition and machine learning
Advanced deep-learning for the estimation of spatial wealth through Copernicus Sentinel data and sparse in-situ survey data.
A python library for the analysis of for High Frequency Mobility Data to support disaster response and infrastructural change
Mapping human behaviour before and after natural disasters using High-Frequency Location-Based data
An immersive A.I. Art experiment between poetry and photography for the Italian Pavilion at the XVII Venice Architecture Biennale.
Our past clients
We have established collaborations with a wide variety of public sector organisations, NGOs, governmental agencies and steering groups all over the world. Together we have provided data, training, resources and decision-support tools to face key socio-economic and environmental challenges.
