User and data-centric artificial intelligence for mapping urban deprivation in multiple cities across the globe

Bedru Tareke, Paulo Silva Filho, Claudio Persello, Monika Kuffer, Raian Maretto, Jon Wang, Angela Abascal, Priam Pillai, Binti Singh, Juan Manuel D’Attoli, Caroline Kabaria, Juilo Pedrassoli, Patricia Brito, Peter Elias, Elio Atenógenes, Andrea Ramírez Santiago

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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 languageEnglish
Title of host publicationIGARSS 2024
Subtitle of host publication2024 IEEE International Geoscience and Remote Sensing Symposium
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1553-1557
Number of pages5
ISBN (Electronic)9798350360325
ISBN (Print)979-8-3503-6032-5
DOIs
Publication statusPublished - 2024
EventIEEE International Symposium on Geoscience and Remote Sensing, IGARRS 2024: Acting for sustainability and resilience - Athens, Greece
Duration: 7 Jul 202412 Jul 2024
https://www.2024.ieeeigarss.org/index.php

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
PublisherIEEE
Volume2024
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003

Conference

ConferenceIEEE International Symposium on Geoscience and Remote Sensing, IGARRS 2024
Abbreviated titleIGARRS 2024
Country/TerritoryGreece
CityAthens
Period7/07/2412/07/24
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

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