Exploring the potential of machine learning for automatic slum identification from VHR imagery
Slum identification in urban settlements is a crucial step in the process of formulation of pro-
poor policies. However, the use of conventional methods for slum detection such as field …
poor policies. However, the use of conventional methods for slum detection such as field …
Remote sensing-based measurement of Living Environment Deprivation: Improving classical approaches with machine learning
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 …
imagery in gathering socioeconomic information in urban settlements. We use land cover …
Mapping poverty and slums using multiple methodologies in Accra, Ghana
R Engstrom, D Pavelesku, T Tanaka… - 2019 Joint Urban …, 2019 - ieeexplore.ieee.org
Providing housing to slum dwellers, protecting them from natural disasters and diseases,
and connecting them to jobs and services through improved infrastructure are urgent policy …
and connecting them to jobs and services through improved infrastructure are urgent policy …
A Mixed Method Approach to Estimate Intra-urban Distribution of GDP in Conditions of Data Scarcity
The gross domestic product (GDP) is probably the most important economic measurement
worldwide. Although it is officially reported at the country level, the heterogeneities within the …
worldwide. Although it is officially reported at the country level, the heterogeneities within the …
Estimación de la distribución espacial del ingreso intra-urbano de Medellín y su área Metropolitana, usando imágenes satelitales diurnas
JP Salazar Vásquez - 2021 - repository.eafit.edu.co
Contar con información del ingreso distribuido espacialmente a escala intraurbana puede
ayudar en los procesos de planeación de las ciudades. El Producto Interno Bruto (PIB) es …
ayudar en los procesos de planeación de las ciudades. El Producto Interno Bruto (PIB) es …