Satellite/Aerial 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.
- Fiona Marshall, Science Policy Research Unit (SPRU)
- Novi Quadrianto
- Jeremy Reffin
- James Robinson (Research Fellow 2019-present)
- Bradley Butcher (Research Fellow 2017-2019)
- Baris Eray (Research Assistant 2018)
- Georgios Voulgaris (PhD Student 2020-present)
- Jonathan Dolley, Science Policy Research Unit (SPRU)
- Jonathan Dolley, Fiona Marshall, Bradley Butcher, Jeremy Reffin, James Alexander Robinson, Baris Eray and Novi Quadrianto. Analysing trade-offs and synergies between SDGs for urban development, food security and poverty alleviation in rapidly changing peri-urban areas: a tool to support inclusive urban planning. Sustainability Science, 2020.
- Raphael Shirley, Edward Pope, Myles Bartlett, Seb Oliver, Novi Quadrianto, Peter Hurley, Steven Duivenvoorden, Phil Rooney, Adam B Barrett, Chris Kent and James Bacon. An empirical, Bayesian approach to modelling crop yield: Maize in USA. Environmental Research Communications, 2020.
- Sam Barrett, Nick Brooks, Novi Quadrianto, Simon Anderson, Bayu Nebsu. Measuring climate resilience by linking shocks to development outcomes. Climate and Development, 2019.