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Renzong Ruan

Biographic Data

ID6933570
NAMERenzong Ruan
GIVEN NAMESRenzong
FAMILY NAMERuan
SIGNATURERUAN R
AFFILIATIONSHohai University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS1
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2020
H-INDEX1
  • Spatiotemporal Change of Urban Sprawl Patterns in Bamako District in Mali Based on Time Series Analysis

    Open Access•Moussa Aliou Keita, Renzong Ruan et al.•ARTICLE•Urban Science•2020•Cited by: 1•References: 1

    For decades, urban sprawl has remained a major challenge for big cities in developing countries, such as Bamako. The aim of this study is to analyze urban sprawl pattern changes over time in the Bamako district using landscape index analyses. Four thematic maps of land cover (LC) were produced by applying the maximum likelihood supervised classification method on Landsat images for 1990, 2000, 2010, and 2018. Five landscape indexes were selected …

  • Spatiotemporal Change of Urban Sprawl Patterns in Bamako District in Mali Based on Time Series Analysis

    Open Access•Moussa Aliou Keita, Renzong Ruan et al.•ARTICLE•Urban Science•2020•Cited by: 1•References: 1

    For decades, urban sprawl has remained a major challenge for big cities in developing countries, such as Bamako. The aim of this study is to analyze urban sprawl pattern changes over time in the Bamako district using landscape index analyses. Four thematic maps of land cover (LC) were produced by applying the maximum likelihood supervised classification method on Landsat images for 1990, 2000, 2010, and 2018. Five landscape indexes were selected …

  • Spatiotemporal Change of Urban Sprawl Patterns in Bamako District in Mali Based on Time Series Analysis

    Open Access•Moussa Aliou Keita, Renzong Ruan et al.•ARTICLE•Urban Science•2020•Cited by: 1•References: 1

    For decades, urban sprawl has remained a major challenge for big cities in developing countries, such as Bamako. The aim of this study is to analyze urban sprawl pattern changes over time in the Bamako district using landscape index analyses. Four thematic maps of land cover (LC) were produced by applying the maximum likelihood supervised classification method on Landsat images for 1990, 2000, 2010, and 2018. Five landscape indexes were selected …

Biology (1 work) · Cartography (1 work) · Computer Science (1 work) · Ecology (1 work) · Fragmentation (computing (1 work) · Geography (1 work) · Grassland (1 work) · Index (typography (1 work) · Infill (1 work) · Land cover (1 work)

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