Open AccessSatellite images and deep learning for the prediction of socioeconomic indicators in the Vale do Ribeira
Author(s) -
Jeaneth Machicao,
Iago Fava da Costa,
Enrico Triñanes,
Pedro Luiz Pizzigatti Corrêa
Publication year - 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/bresci.2022.222511
Subject(s) - socioeconomic status , literacy , investment (military) , socioeconomic development , satellite imagery , data collection , satellite , relevance (law) , plan (archaeology) , computer science , geography , environmental resource management , environmental economics , remote sensing , economic growth , political science , economics , statistics , engineering , sociology , politics , demography , mathematics , population , archaeology , aerospace engineering , law