Satellite Image Segmentation

Understanding trade-offs between SDGs in urbanising contexts

Rapid urbanisation creates trade-offs between development, food security and poverty alleviation goals which are often ignored or invisible. Revealing and communicating the nature and scale of these trade-offs to policymakers is a key step towards achieving SDGs around urban sustainability and resilience.

Our project applies deep learning techniques to map peri-urban agriculture in Wuhan, China and explores ways of integrating multiple types of data through a web-based mapping and visualisation tool to support research and stakeholder engagement on urban sustainability policy. This is a cross-departmental project involving the Science Policy Research Unit (SPRU) at the University of Sussex.

Funded by Sussex Sustainability Research Programme: 1 April 2017 - 30 September 2018; British Academy: 18 November 2019 - 17 November 2021 (£244,847).