Space enable monitoring of illegal gold mining
Start date01 January 2018
End date31 October 2019
This project aimed at providing increased detection and efficiency in monitoring illegal gold mining in remote forested areas of the Antioquia region in Colombia, enabling the Government (represented by Secretaría de Minas - Gobernación de Antioquia) to take appropriate action. The project had to develop and deploy an operational tool, which made use of freely available Synthetic Aperture Radar (SAR) data for change detection, and incorporated machine-learning techniques to represent suspected areas of illegal mining with their calculated probability, in a rich and user-friendly web portal informing the relevant authorities.
UK Space Agency
D.Amitrano, R.Guida, P.Iervolino, “High Level Semantic Land Cover Classification of Multitemporal SAR Images using Synergic Pixel-Based and Object-Based Methods”, International Geoscience and Remote Sensing Symposium ’19, Yokohama (Japan), 2019.
D.Amitrano, R.Guida, P. Iervolino, “Semantic Unsupervised Change Detection of Natural Land Cover with Multitemporal Object-Based Analysis of SAR Images”, IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3029841.
Find out more about our research at Surrey: