Phenotyping urban built and natural environments with high-resolution satellite images and unsupervised deep learning

Cities in the developing world are expanding rapidly, and undergoing changes to their roads, buildings, vegetation, and other land use characteristics. Timely data are needed to ensure that urban change enhances health, wellbeing and sustainability. We present and evaluate a novel unsupervised deep...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:Sci Total Environ
Päätekijät: Metzler, A Barbara, Nathvani, Ricky, Sharmanska, Viktoriia, Bai, Wenjia, Muller, Emily, Moulds, Simon, Agyei-Asabere, Charles, Adjei-Boadi, Dina, Kyere-Gyeabour, Elvis, Tetteh, Jacob Doku, Owusu, George, Agyei-Mensah, Samuel, Baumgartner, Jill, Robinson, Brian E, Arku, Raphael E, Ezzati, Majid
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2023
Aiheet:
Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC7615085/
https://ncbi.nlm.nih.gov/pubmed/37315611
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.scitotenv.2023.164794
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