As a team of five we came together for the 2019 Copernicus Hackathon and continued developing the winning project SmartLander for nine months afterwards.
Planning for sustainable megacities of the future is a complex, time-consuming task.
Identifying sustainability risks is currently based on very little data and research.
Our solution identified how to easily provide guidance to avoid disasters or preventable breakdown of urban sustainability such as floods, heat islands, poverty within cities, environmental disasters and more.
Working on flood defences of megacities can take a GIS analyst 3 weeks to gather, analyze and interpret the connection between other inundations to the one they are assessing. Our approach cuts the time from weeks to minutes with an AI assistant, AND detect patterns that pose a threat to long-term sustainability that are invisible to us.
We bring the power of GIS/Earth Observation + AI and Machine Learning to radically shorten the time it takes to analyse large areas of terrain, providing quick and easy access to environmental officers, policy makers, land developers, scientists and anyone who needs a look into the environmental future of a specific area.
We drove this project through the PLNT Venture Academy (Leiden) and the SBIC Noordwijk IGNITION program, to develop a solid business offering and provide value to future customers.
Our project identified how to provide environmental and sustainability GIS data for use in urban master planning, environmental impact and sustainability studies of urban and civil mega-projects, using Big Satellite Data to identify risks to urban resilience and sustainability in real time.
This solution provides tools for data-driven decision-making for the sustainable cities of tomorrow. It provides a view of any are of focus integrating its historical data and future forecasts, while providing easy access to Big Satellite Data analysis. It can track water and air quality and composition, land usage, soil composition and density, infrastructure and civil works, temperature variation and more, to gather a full picture of large areas of land that are otherwise impractical to track and discover patterns that are impossible to identify without the combination of Space technology and Machine learning.
The team was formed by Marco A Morales (BA Comm Design) as Product Manager and COO, Manuel Sanabria (Msc. GIS, Bsc. Environmental Science) GIS specialist and Agile coach, Harmen van Oosten (Bsc. Land and water mgmt., Msc. Topografia, Cartografia y Geodesia) on water & land mgmt and Mahabir Gupta (Msc. Computer Science) on GIS, ML/AI and Data Science integration.