Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Felipe Jordán

Datos Biográficos

ID270251
NOMBREFelipe Jordán
NOMBRESFelipe
APELLIDOJordán
FIRMAJORDÁN F
AFILIACIONESPontificia Universidad Católica de Chile
ORCID0000-0002-8187-3860
VERIFICADOSí
TOTAL DE OBRAS4
TOTAL DE CITAS1
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2023
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H1
  • Environmental impacts of Indigenous land restitution in Chile

    Open Access•Dany Jaimovich, Felipe Jordán et al.•ARTICLE•Nature Sustainability•2026

  • Varieties of capitalism and environmental performance

    Open Access•Felipe Jordán•ARTICLE•Ecological Economics•2025

  • The diversity we breath

    Open Access•Felipe Jordán, Enrico Di Gregorio•ARTICLE•Regional Science and Urban…•2024

  • Using Satellite Images and Deep Learning to Measure Health and Living Standards in India

    Open Access•Adel Daoud, Felipe Jordán et al.•ARTICLE•Social Indicators Research•2023•Citada por: 1•Referencias: 51

    Using deep learning with satellite images enhances our understanding of human development at a granular spatial and temporal level. Most studies have focused on Africa and on a narrow set of asset-based indicators. This article leverages georeferenced village-level census data from across 40% of the population of India to train deep models that predicts 16 indicators of human well-being from Landsat 7 imagery. Based on the principles of transfer …

  • Using Satellite Images and Deep Learning to Measure Health and Living Standards in India

    Open Access•Adel Daoud, Felipe Jordán et al.•ARTICLE•Social Indicators Research•2023•Citada por: 1•Referencias: 51

    Using deep learning with satellite images enhances our understanding of human development at a granular spatial and temporal level. Most studies have focused on Africa and on a narrow set of asset-based indicators. This article leverages georeferenced village-level census data from across 40% of the population of India to train deep models that predicts 16 indicators of human well-being from Landsat 7 imagery. Based on the principles of transfer …

  • Using Satellite Images and Deep Learning to Measure Health and Living Standards in India

    Open Access•Adel Daoud, Felipe Jordán et al.•ARTICLE•Social Indicators Research•2023•Citada por: 1•Referencias: 51

    Using deep learning with satellite images enhances our understanding of human development at a granular spatial and temporal level. Most studies have focused on Africa and on a narrow set of asset-based indicators. This article leverages georeferenced village-level census data from across 40% of the population of India to train deep models that predicts 16 indicators of human well-being from Landsat 7 imagery. Based on the principles of transfer …

  • The diversity we breath

    Open Access•Felipe Jordán, Enrico Di Gregorio•ARTICLE•Regional Science and Urban…•2024

  • Varieties of capitalism and environmental performance

    Open Access•Felipe Jordán•ARTICLE•Ecological Economics•2025

  • Environmental impacts of Indigenous land restitution in Chile

    Open Access•Dany Jaimovich, Felipe Jordán et al.•ARTICLE•Nature Sustainability•2026

Agriculture, Land Use, Rural Development (1 obras) · Artificial Intelligence (1 obras) · Biology (1 obras) · Business (1 obras) · Capitalism (1 obras) · Cartography (1 obras) · Census (1 obras) · Climate Change Policy and Economics (1 obras) · Computer Science (1 obras) · Data science (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae