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Huabing Huang

Biographic Data

ID6569975
NAMEHuabing Huang
GIVEN NAMESHuabing
FAMILY NAMEHuang
SIGNATUREHUANG H
AFFILIATIONSSun Yat-sen University
ORCID0000-0001-6253-8437
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS0
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Uncovering the climate vulnerability of China’s poverty alleviation frontiers

    Open Access•Feng Zhao, Lijun Zuo et al.•ARTICLE•Global Environmental Change•2026•References: 4

  • Mapping the maximum extents of urban green spaces in 1039 cities using dense satellite images

    Open Access•Conghong Huang, Jun Yang et al.•ARTICLE•Environmental Research Letters•2021

    Spatial data of urban green spaces (UGS) are critical for cities worldwide to evaluate their progress towards achieving the urban sustainable development goals on UGS. However, UGS maps at the global scale with acceptable accuracies are not readily available. In this study, we mapped UGS of all 1039 mid- and large-sized cities across the globe in 2015 with dense remote sensing data (i.e. 51 494 Landsat images) and Google Earth Engine (GEE) platfo…

  • Mapping essential urban land use categories in China (Euluc-China)

    Open Access•Peng Gong, Bin Chen et al.•ARTICLE•Science Bulletin•2020

  • A risk analysis framework for transmission towers under potential pluvial flood - LiDAR survey and geometric modelling

    Open Access•Mingwei Chen, Ting On Chan et al.•ARTICLE•International Journal of Disaster…•2020

  • Spatial heterogeneity of controlling factors’ impact on urban pluvial flooding in Cincinnati, US

    Open Access•Man Qi, Huabing Huang et al.•ARTICLE•Applied Geography•2020

  • Mapping global urban boundaries from the global artificial impervious area (Gaia) data

    Open Access•Xuecao Li, Peng Gong et al.•ARTICLE•Environmental Research Letters•2020

    Urban boundaries, an essential property of cities, are widely used in many urban studies. However, extracting urban boundaries from satellite images is still a great challenge, especially at a global scale and a fine resolution. In this study, we developed an automatic delineation framework to generate a multi-temporal dataset of global urban boundaries (GUB) using 30 m global artificial impervious area (GAIA) data. First, we delineated an initia…

  • Stable classification with limited sample

    Open Access•Peng Gong, Han Liu et al.•ARTICLE•Science Bulletin•2019

  • Improvement to flooding risk assessment of storm surges by residual interpolation in the coastal areas of Guangdong Province, China

    Open Access•Xina Wang, Xianwei Wang et al.•ARTICLE•Quaternary International•2017

No prominent works on this page.

  • Improvement to flooding risk assessment of storm surges by residual interpolation in the coastal areas of Guangdong Province, China

    Open Access•Xina Wang, Xianwei Wang et al.•ARTICLE•Quaternary International•2017

  • Stable classification with limited sample

    Open Access•Peng Gong, Han Liu et al.•ARTICLE•Science Bulletin•2019

  • Mapping essential urban land use categories in China (Euluc-China)

    Open Access•Peng Gong, Bin Chen et al.•ARTICLE•Science Bulletin•2020

  • A risk analysis framework for transmission towers under potential pluvial flood - LiDAR survey and geometric modelling

    Open Access•Mingwei Chen, Ting On Chan et al.•ARTICLE•International Journal of Disaster…•2020

  • Spatial heterogeneity of controlling factors’ impact on urban pluvial flooding in Cincinnati, US

    Open Access•Man Qi, Huabing Huang et al.•ARTICLE•Applied Geography•2020

  • Mapping global urban boundaries from the global artificial impervious area (Gaia) data

    Open Access•Xuecao Li, Peng Gong et al.•ARTICLE•Environmental Research Letters•2020

    Urban boundaries, an essential property of cities, are widely used in many urban studies. However, extracting urban boundaries from satellite images is still a great challenge, especially at a global scale and a fine resolution. In this study, we developed an automatic delineation framework to generate a multi-temporal dataset of global urban boundaries (GUB) using 30 m global artificial impervious area (GAIA) data. First, we delineated an initia…

  • Mapping the maximum extents of urban green spaces in 1039 cities using dense satellite images

    Open Access•Conghong Huang, Jun Yang et al.•ARTICLE•Environmental Research Letters•2021

    Spatial data of urban green spaces (UGS) are critical for cities worldwide to evaluate their progress towards achieving the urban sustainable development goals on UGS. However, UGS maps at the global scale with acceptable accuracies are not readily available. In this study, we mapped UGS of all 1039 mid- and large-sized cities across the globe in 2015 with dense remote sensing data (i.e. 51 494 Landsat images) and Google Earth Engine (GEE) platfo…

  • Uncovering the climate vulnerability of China’s poverty alleviation frontiers

    Open Access•Feng Zhao, Lijun Zuo et al.•ARTICLE•Global Environmental Change•2026•References: 4

Environmental Science (7 works) · Geography (7 works) · Cartography (4 works) · Geology (4 works) · Remote sensing (4 works) · Computer Science (3 works) · Flood myth (3 works) · Land Use and Ecosystem Services (3 works) · Civil engineering (2 works) · Climate change (2 works)

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