AI driven risk quantification for fire spread in informal settlements through integration of information from geographical information systems, local infrastructure and environmental attributes

Seth, Sohan (Principal Investigator)

School of Informatics

Status	Finished
Effective start/end date	1/10/21 → 15/02/22

Funding

UK-based charities: £4,686.00

1 Conference contribution

Assessing the utility of open-source geo-spatial data for AI-driven estimation of fire spread risk in informal settlements
Panas, D., Seth, S., Watmough, G. & Rush, D., 16 Sept 2022, 41st EARSeL Symposium/6th EARSeL Workshop on Developing Countries: Symposium Book of Abstracts. European Association of Remote Sensing Laboratories (EARSeL), p. 174-176 3 p. (Proceedings of the EARSeL Symposium).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
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