Abstract
The rapid urbanization in many regions worldwide results in the proliferation of deprived urban areas, also known as slums or informal settlements. Our study addresses the pressing need for accurate information by investigating User and Data-centric Artificial Intelligence (AI)-based methods for mapping deprived urban areas and extracting information supporting the Sustainable Development Goals (SDG) Indicator 11.1.1. In collaboration with local communities and several (inter)national stakeholders, we co-designed AI strategies based on free or low-cost Earth Observation (EO) and geospatial data to map informal settlements in eight cities across the globe. The AI methods design, data collection, and validation strategies follow an iterative and agile process consisting of progressive refinement stages necessary to collect reliable labeled data and take user requirements into their centre. Our findings indicate that the combination of Sentinel-2 and morphometric features yields the most accurate results.
Original language | English |
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Title of host publication | IGARSS 2024 |
Subtitle of host publication | 2024 IEEE International Geoscience and Remote Sensing Symposium |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 1553-1557 |
Number of pages | 5 |
ISBN (Electronic) | 9798350360325 |
ISBN (Print) | 979-8-3503-6032-5 |
DOIs | |
Publication status | Published - 2024 |
Event | IEEE International Symposium on Geoscience and Remote Sensing, IGARRS 2024: Acting for sustainability and resilience - Athens, Greece Duration: 7 Jul 2024 → 12 Jul 2024 https://www.2024.ieeeigarss.org/index.php |
Publication series
Name | International Geoscience and Remote Sensing Symposium (IGARSS) |
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Publisher | IEEE |
Volume | 2024 |
ISSN (Print) | 2153-6996 |
ISSN (Electronic) | 2153-7003 |
Conference
Conference | IEEE International Symposium on Geoscience and Remote Sensing, IGARRS 2024 |
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Abbreviated title | IGARRS 2024 |
Country/Territory | Greece |
City | Athens |
Period | 7/07/24 → 12/07/24 |
Internet address |
Keywords
- Training
- Visualization
- Accuracy
- Urban areas
- Collaboration
- Reliability engineering
- Data models
- Informal Settlement
- Deep Learning
- Fully Convolutional Network
- Urban Morphometrics
- Earth Observation
- 2024 OA procedure