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A Deep-Learning Method for the Prediction of Socio-Economic Indicators from Street-View Imagery Using a Case Study from Brazil Cover

A Deep-Learning Method for the Prediction of Socio-Economic Indicators from Street-View Imagery Using a Case Study from Brazil

Open Access
|Feb 2022

Authors

Jeaneth Machicao

machicao@usp.br

University of São Paulo

Alison Specht

a.specht@uq.edu.au

Terrestrial Ecosystem Research Network, University of Queensland

Danton Vellenich

danton.vellenich@usp.br

University of São Paulo

Leandro Meneguzzi

leandro.meneguzzi@usp.br

University of São Paulo

Romain David

david.romain@gmail.com

ERINHA

Shelley Stall

sstall@agu.org

American Geophysical Union

Katia Ferraz

katia.ferraz@usp.br

University of São Paulo

Laurence Mabile

laurence.mabile@univ-tlse3.fr

University Paul Sabatier Toulouse III

Margaret O’Brien

margaret.obrien@ucsb.edu

University of California

Pedro Corrêa

pedro.correa@usp.br

University of São Paulo
Language: English
Submitted on: Apr 22, 2021
|
Accepted on: Jan 29, 2022
|
Published on: Feb 11, 2022
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2022 Jeaneth Machicao, Alison Specht, Danton Vellenich, Leandro Meneguzzi, Romain David, Shelley Stall, Katia Ferraz, Laurence Mabile, Margaret O’Brien, Pedro Corrêa, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.