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Felipe Jordán

Biographic Data

ID270251
NAMEFelipe Jordán
GIVEN NAMESFelipe
FAMILY NAMEJordán
SIGNATUREJORDÁN F
AFFILIATIONSPontificia Universidad Católica de Chile
ORCID0000-0002-8187-3860
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS1
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX1
  • 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•Cited by: 1•References: 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•Cited by: 1•References: 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•Cited by: 1•References: 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 works) · Artificial Intelligence (1 works) · Biology (1 works) · Business (1 works) · Capitalism (1 works) · Cartography (1 works) · Census (1 works) · Climate Change Policy and Economics (1 works) · Computer Science (1 works) · Data science (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae