Long-Term Time Series Estimation of Impervious Surface Coverage Rate in Beijing–Tianjin–Hebei Urbanization and Vulnerability Assessment of Ecological Environment Response

Yuyang Cui, Yaxue Zhao and Xuecao Li ()
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Yuyang Cui: College of Land Science and Technology, China Agricultural University, Beijing 100083, China
Yaxue Zhao: College of Land Science and Technology, China Agricultural University, Beijing 100083, China
Xuecao Li: College of Land Science and Technology, China Agricultural University, Beijing 100083, China

Land, 2025, vol. 14, issue 8, 1-24

Abstract: As urbanization processes are no longer characterized by simple linear expansion but exhibit leaping, edge-sparse, and discontinuous features, spatiotemporally continuous impervious surface coverage data are needed to better characterize urbanization processes. This study utilized GAIA impervious surface binary data and employed spatiotemporal aggregation methods to convert thirty years of 30 m resolution data into 1 km resolution spatiotemporal impervious surface coverage data, constructing a long-term time series annual impervious surface coverage dataset for the Beijing–Tianjin–Hebei region. Based on this dataset, we analyzed urban expansion processes and landscape pattern indices in the Beijing–Tianjin–Hebei region, exploring the spatiotemporal response relationships of ecological environment changes. Results revealed that the impervious surface area increased dramatically from 7579.3 km 2 in 1985 to 37,484.0 km 2 in 2020, representing a year-on-year growth of 88.5%. Urban expansion rates showed two distinct peaks: 800 km 2 /year around 1990 and approximately 1700 km 2 /year during 2010–2015. In high-density urbanized areas with impervious surfaces, the average forest area significantly increased from approximately 2500 km 2 to 7000 km 2 during 1985–2005 before rapidly declining, grassland patch fragmentation intensified, while in low-density areas, grassland area showed fluctuating decline with poor ecosystem stability. Furthermore, by incorporating natural and social factors such as Fractional Vegetation Coverage (FVC), Habitat Quality Index (HQI), Land Surface Temperature (LST), slope, and population density, we assessed the vulnerability of urbanization development in the Beijing–Tianjin–Hebei region. Results showed that high vulnerability areas (EVI > 0.5) in the Beijing–Tianjin core region continue to expand, while the proportion of low vulnerability areas (EVI < 0.25) in the northern mountainous regions decreased by 4.2% in 2020 compared to 2005. This study provides scientific support for the sustainable development of the Beijing–Tianjin–Hebei urban agglomeration, suggesting location-specific and differentiated regulation of urbanization processes to reduce ecological risks.

Keywords: impervious surface data construction; urban expansion; ecological spatiotemporal response; ecological vulnerability (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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