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Abstract
The challenge
Populations housed in informal settlements are rapidly growing, and due to their informal nature, they are typically lacking in basic safety features. For example, dense layouts and unsupervised building practices result in increased vulnerability to fire spread. Developing an open-source, data-driven AI model of assessing the risk of fire spread at any location within informal settlements using remote sensing and geospatial data could aid risk mitigation and contribute to Sustainable Development Targets 11.1 and 11.5. We present an analysis of suitability of publicly available data for this purpose. Specifically, we assessed the coverage and volume of geo-mapped fire events, required as target for training the AI model; and the quality of building footprint data, from Google Open Buildings (abbrev. OB), that is crucial for deriving relevant risk factors such as density of dwellings.
Populations housed in informal settlements are rapidly growing, and due to their informal nature, they are typically lacking in basic safety features. For example, dense layouts and unsupervised building practices result in increased vulnerability to fire spread. Developing an open-source, data-driven AI model of assessing the risk of fire spread at any location within informal settlements using remote sensing and geospatial data could aid risk mitigation and contribute to Sustainable Development Targets 11.1 and 11.5. We present an analysis of suitability of publicly available data for this purpose. Specifically, we assessed the coverage and volume of geo-mapped fire events, required as target for training the AI model; and the quality of building footprint data, from Google Open Buildings (abbrev. OB), that is crucial for deriving relevant risk factors such as density of dwellings.
| Original language | English |
|---|---|
| Title of host publication | 41st EARSeL Symposium/6th EARSeL Workshop on Developing Countries |
| Subtitle of host publication | Symposium Book of Abstracts |
| Publisher | European Association of Remote Sensing Laboratories (EARSeL) |
| Pages | 174-176 |
| Number of pages | 3 |
| Publication status | Published - 16 Sept 2022 |
| Event | 41st EARSeL Symposium: Earth Observation for Environmental Monitoring - Aliathon Holiday Village, Paphos, Cyprus Duration: 13 Sept 2022 → 16 Sept 2022 Conference number: 41 https://cyprus2022.earsel.org/index.php |
Publication series
| Name | Proceedings of the EARSeL Symposium |
|---|---|
| ISSN (Print) | 1021-2590 |
Symposium
| Symposium | 41st EARSeL Symposium |
|---|---|
| Abbreviated title | EARSeL 2022 |
| Country/Territory | Cyprus |
| City | Paphos |
| Period | 13/09/22 → 16/09/22 |
| Internet address |
Keywords / Materials (for Non-textual outputs)
- open-source
- remote sensing
- AI
- fire
- resilience
- informal settlements