Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning-Reference-Cited by-同舟云学术

Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning

Published:2024-04 Issue: Volume:109 Page:102075
ISSN:0198-9715
Container-title:Computers, Environment and Urban Systems
language:en
Short-container-title:Computers, Environment and Urban Systems

Author:

Owusu Maxwell,Nair Arathi,Jafari Amir,Thomson Dana,Kuffer Monika,Engstrom Ryan

Funder

Bill & Melinda Gates Foundation

Publisher

Elsevier BV

Reference72 articles.

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1. Large Area Mapping of Urban Deprivation from Sentinel-2 and Google Open Buildings using Deep Learning;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Combining Local Knowledge with Object-Based Machine Learning Techniques for Extracting Informal Settlements from Very High-Resolution Satellite Data;Earth Systems and Environment;2024-04-10

3. Exploring Spatio-Temporal Pattern of Gentrification Processes in Intracity Slums in the Lagos Megacity;Geographies;2024-04-02