Gridded Urban Deprivation Probability from Open Optical Imagery and Dual-Pol Sar Data
Author:
Funder
Belgian Federal Science Policy (BELSPO)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9553015/9553016/09554231.pdf?arnumber=9554231
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2. 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
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4. Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning;Computers, Environment and Urban Systems;2024-04
5. Putting the Invisible on the Map: Low-Cost Earth Observation for Mapping and Characterizing Deprived Urban Areas (Slums);Remote Sensing and Digital Image Processing;2024
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