Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Philipe Ambrozio Dias

Biographic Data

ID6285066
NAMEPhilipe Ambrozio Dias
GIVEN NAMESPhilipe Ambrozio
FAMILY NAMEDias
SIGNATUREDIAS P A
AFFILIATIONSOak Ridge National Laboratory
ORCID0000-0001-9427-7112
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX1
  • LandScan HD

    Open Access•Joseph V Tuccillo, Jessica Moehl et al.•ARTICLE•Population and Environment•2025•References: 45

    Unwarned population distributions accounting for routine human activities are needed to address many global human security challenges, including disasters, conflict, and infrastructure demand. LandScan High Definition (LSHD) supports this need through gridded ambient population estimates that measure average human presence between daytime and nighttime at a high spatial resolution of 3 arcseconds (approximately 90 m). Although LSHD has traditiona…

  • A segmented approach to modeling building height

    Open Access•Clinton Stipek, Daniel Adams et al.•ARTICLE•Computers Environment and Urban…•2025•Cited by: 1•References: 23

    Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modeling building height at scale are hindered by two pervasive issues. First, there is no consistent approach to quantify what a high-rise building is at a macro scale, leaving researchers unable to accurately compare results across geographies and…

  • A segmented approach to modeling building height

    Open Access•Clinton Stipek, Daniel Adams et al.•ARTICLE•Computers Environment and Urban…•2025•Cited by: 1•References: 23

    Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modeling building height at scale are hindered by two pervasive issues. First, there is no consistent approach to quantify what a high-rise building is at a macro scale, leaving researchers unable to accurately compare results across geographies and…

  • LandScan HD

    Open Access•Joseph V Tuccillo, Jessica Moehl et al.•ARTICLE•Population and Environment•2025•References: 45

    Unwarned population distributions accounting for routine human activities are needed to address many global human security challenges, including disasters, conflict, and infrastructure demand. LandScan High Definition (LSHD) supports this need through gridded ambient population estimates that measure average human presence between daytime and nighttime at a high spatial resolution of 3 arcseconds (approximately 90 m). Although LSHD has traditiona…

  • A segmented approach to modeling building height

    Open Access•Clinton Stipek, Daniel Adams et al.•ARTICLE•Computers Environment and Urban…•2025•Cited by: 1•References: 23

    Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modeling building height at scale are hindered by two pervasive issues. First, there is no consistent approach to quantify what a high-rise building is at a macro scale, leaving researchers unable to accurately compare results across geographies and…

3D Surveying and Cultural Heritage (1 works) · Archaeology (1 works) · Architectural engineering (1 works) · Baseline (sea (1 works) · Engineering (1 works) · Environmental Science (1 works) · Estimation (1 works) · Flood myth (1 works) · Flood Risk Assessment and Management (1 works) · Geodesy (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