Remote sensing-based measurement of Living Environment Deprivation: Improving classical approaches with machine learning

@inproceedings{ArribasBel2017RemoteSM,
  title={Remote sensing-based measurement of Living Environment Deprivation: Improving classical approaches with machine learning},
  author={Daniel Arribas-Bel and Jorge E. Patino and Juan Carlos Duque},
  booktitle={PloS one},
  year={2017}
}
This paper provides evidence on the usefulness of very high spatial resolution (VHR) imagery in gathering socioeconomic information in urban settlements. We use land cover, spectral, structure and texture features extracted from a Google Earth image of Liverpool (UK) to evaluate their potential to predict Living Environment Deprivation at a small statistical area level. We also contribute to the methodological literature on the estimation of socioeconomic indices with remote-sensing data by… CONTINUE READING
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